Statistics neighbourhood Vlas

Statistics neighbourhood Vlas

Check out data on over 250 topics about the neighbourhood Vlas in municipality Someren. 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 Vlas in municipality Someren. 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 Vlas on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Vlas has 180 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 Vlas.


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

JaarPopulation Neighbourhood Vlas% difference
20251800,0%
2024180-0,55%
2023181-0,55%
20221822,25%
2021178-0,56%
2020179-1,1%
2019181-1,63%
2018184-0,54%
20171850,54%
20161840,0%
2015184-1,6%
2014187-2,6%
2013192geen data

The population of the neighbourhood Vlas has changed with 12 inhabitants from 192 inhabitants in 2013 to 180 inhabitants in 2025 (that is a change of 6,2%). The average difference per year over the entire period from 2013 to 2025 was -1 inhabitant (-0,53%). The development of the data over time follows a slightly decreasing trend: The numbers decline more often than not.

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 Vlas
Map of the surroundings of the neighbourhood Vlas.
Image of the neighbourhood Vlas 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 Vlas (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 Buitengebied Someren-Eind with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Blank Water, 2: Vlas, 3: Ravel, 4: Sluis 12 / 13, 5: Diepenhoek.

Regional overview

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House characteristics
There are 55 houses in de buurt Vlas.
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 Vlas:

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 Vlas
The average property value in The neighbourhood Vlas was €585.000 in 2024.

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The chart above shows the average WOZ property value per year in the neighbourhood Vlas.


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

JaarAverage property value Neighbourhood Vlas% difference
2024€585.00019%
2023€491.4037,2%
2022€458.4586%
2021€432.6251,38%
2020€426.7364,52%
2019€408.26423%
2018€332.9720,0%
2017€332.9721,29%
2016€328.736-1,24%
2015€332.847-2,65%
2014€341.917-5,9%
2013€363.500geen data

The average property value in the neighbourhood Vlas has changed with €221.500 from €363.500 in 2013 to €585.000 in 2024 (that is a change of 61%). The average difference per year over the entire period from 2013 to 2024 was €20.136 (4,74%). The development of the data over time follows a slightly increasing trend: The numbers grow more often than not.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Types of dwellings
Corner dwelling type is most common in Neighbourhood Vlas: there are 55 addresses with house type corner dwelling type.
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The pie chart above shows the number and percentage of dwellings by type in the neighbourhood Vlas.

The data on types of dwellings are based on the Kadaster housing classification and the Kadaster records on fixed and mobile residential units. The dwelling type is determined using a geographic-algorithmic method for buildings that contain a residential unit (buildings with a residential use function). The data reflect the situation as of 1 juli 2025.

Energy labels
The most common energy labels in Neighbourhood Vlas are C (15 addresses) and A (8 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood Vlas. For this purpose, data at address level from the EP-Online system of the RVO was used. EP-Online is the official national database containing energy labels and energy performance indicators of buildings. The data used apply to the situation as per July 1st, 2025.

An energy label indicates how energy-efficient a building is. G is the worst energy label, and A+++++ is the best. Energy label C is most common in Neighbourhood Vlas: 15 addresses have energy label C. The download with detailed information for the municipality Someren 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 0 traffic accidents in total in Neighbourhood Vlas in 2024.

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The above graph shows the development of the number of traffic accidents in the neighbourhood Vlas. 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 Vlas in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total0
Material damage0
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 Vlas.

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 Vlas. 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 December 15th, 2025.

Total recorded crime per month or per year
In 2024 a total of 2 crimes were registered in Neighbourhood Vlas.
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Total number of registered crimes in the neighbourhood Vlas, from 2012 to 2024 inclusive (when displaying the data per year) or June 2024 to November 2025 (when displaying the data per month).

In the neighbourhood Vlas a total of 66 crimes have been registered from 2012 to 2024. These crimes are classified into 19 different types of crime. For 15% of all neighbourhoods in the Netherlands, 66 or fewer crimes have been registered in this period. In 2024 the police recorded 2 crimes in the neighbourhood Vlas. 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 Vlas from 2012 to 2024 are Accidents (road) (12 crimes) en Other property crimes (10 crimes).
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Number of crimes for the ten most common types of crimes from 2012 to 2024 inclusive, neighbourhood Vlas.

Crime definitions (Dutch)
Total crime per month
In November 2025 no crimes were registered in Neighbourhood Vlas.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Vlas 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 Vlas 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 Someren.

Crimes per 1,000 inhabitants
There were 6 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2024 in Neighbourhood Vlas.
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Crime: number of crimes per 1,000 inhabitants in 2024 in the neighbourhood Vlas.

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

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 Vlas. 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
5 people per 1,000 inhabitants died in 2024 in Neighbourhood Vlas.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the neighbourhood Vlas.

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 codeRegionalBU08470602Code2025
Region nameRegionalVlasName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional08470602Code2025
InhabitantsPopulation180Number2025
MenPopulation105Number2025
WomenPopulation75Number2025
Ages 0 - 15Population35Number2025
Ages 15 - 25Population25Number2025
Ages 25 - 45Population45Number2025
Ages 45 - 65Population65Number2025
Ages 65 and upPopulation20Number2025
Not marriedPopulation90Number2025
MarriedPopulation80Number2025
DivorcedPopulation10Number2025
WidowedPopulation5Number2025
% MenPopulation58%Percentage2025
% WomenPopulation42%Percentage2025
% Ages 0 - 15Population18%Percentage2025
% Ages 15 - 25Population13%Percentage2025
% Ages 25 - 45Population24%Percentage2025
% Ages 45 - 65Population34%Percentage2025
% Ages 65 and upPopulation11%Percentage2025
% Not marriedPopulation49%Percentage2025
% MarriedPopulation43%Percentage2025
% DivorcedPopulation5.4%Percentage2025
% WidowedPopulation2.7%Percentage2025
Births totalPopulation0Number2024
Births relativePopulation11Number per 1,000 inhabitants2024
Mortality totalPopulation0Number2024
Mortality relativePopulation5Number per 1,000 inhabitants2024
Origin NetherlandsMigration150Number2025
Origin outside NetherlandsMigration25Number2025
Origin EuropeMigration25Number2025
Origin outside EuropeMigration0Number2025
% Origin NetherlandsMigration86%Percentage2025
% Origin outside NetherlandsMigration14%Percentage2025
% Origin EuropeMigration14%Percentage2025
% Origin outside EuropeMigration0.0%Percentage2025
Born in Netherlands origin NetherlandsMigration155Number2025
Born in Netherlands origin EuropeMigration0Number2025
Born in Netherlands origin outside EuropeMigration0Number2025
Born in NetherlandsMigration0Number2025
Born in NetherlandsMigration155Number2025
Born outside Netherlands origin EuropeMigration25Number2025
Born outside Netherlands origin outside EuropeMigration0Number2025
Born outside NetherlandsMigration25Number2025
% Born in Netherlands origin NetherlandsMigration89%Percentage2025
% Born in Netherlands origin EuropeMigration0.0%Percentage2025
% Born in Netherlands origin outside EuropeMigration0.0%Percentage2025
% Born in NetherlandsMigration0.0%Percentage2025
% Born in NetherlandsMigration89%Percentage2025
% Born outside Netherlands origin EuropeMigration14%Percentage2025
% Born outside Netherlands origin outside EuropeMigration0.0%Percentage2025
% Born outside NetherlandsMigration14%Percentage2025
Native DutchMigration163Number2022
Western totalMigration18Number2022
Non-western totalMigration1Number2022
Dutch Antilles and ArubaMigration1Number2022
MoroccoMigration0Number2022
SurinameMigration0Number2022
TurkeyMigration0Number2022
Other non-westernMigration0Number2022
Primary school pupils Education20Number2024
Secondary school pupils Education10Number2024
Secondary vocational education students (MBO) Education10Number2024
Higher professional education students (HBO) Education0Number2024
University students (WO) Education0Number2024
Practical education level Education56Number2023
Intermediate education level Education66Number2023
Theoretical education level Education26Number2023
% Practical education level Education38%Percentage2023
% Intermediate education level Education45%Percentage2023
% Theoretical education level Education18%Percentage2023
Households Households75Number2025
Single-person households Households25Number2025
Multi-person households Households50Number2025
Multi-person households without children Households20Number2025
Multi-person households with children Households30Number2025
% Single-person households Households33%Percentage2025
% Multi-person households Households67%Percentage2025
% Multi-person households without children Households27%Percentage2025
% Multi-person households with children Households40%Percentage2025
Average household size Households2.4Average number2025
Employed labour force Income638Number2023
Net labor participationIncome83%Percentage2023
% EmployeesIncome67%Percentage2023
% Employees with permanent contractsIncome45%Percentage2023
% Employees with flexible contractsIncome21%Percentage2023
% Self-employedIncome33%Percentage2023
Income receivers per 1,000 inhabitantsIncome163Number2023
Income receiversIncome900Number per 1,000 inhabitants2023
Average income per income recipientIncome€38,562Average in euro2022
Average income per inhabitantIncome€6,089Average in euro2023
40% persons with lowest incomeIncome35%Percentage2023
20% persons with highest incomeIncome20%Percentage2023
Average standardized household incomeIncome€40,243euro2022
40% households with lowest incomeIncome29%Percentage2023
20% households with highest incomeIncome26%Percentage2023
Households with a low incomeIncome3.44%Percentage2023
% Households at social minimumIncome3.24%Percentage2023
Households up to 110% of the social minimumIncome3.86%Percentage2023
Households up to 120% of the social minimumIncome4.61%Percentage2023
Median capital assets of private householdsIncome€439,818euro2023
Persons with social security welfareIncome0Number2024
Persons with social security for incapacity for workIncome0Number2024
Persons with social security for unemployedIncome10Number2024
Persons with social security for elderlyIncome20Number2024
Persons with social security welfareIncome0%Percentage2024
Persons with social security for incapacity for workIncome0%Percentage2024
Persons with social security for unemployedIncome6%Percentage2024
Persons with social security for elderlyIncome11%Percentage2024
Young people with youth care in kindPopulation3Number2023
% Young people with youth carePopulation7.5%Percentage2023
WMO clientsPopulation4Number2023
WMO clients relativePopulation22Number per 1,000 inhabitants2023
Housing stockHouses55Number2024
Houses per 1,000 inhabitantsHouses306Number per 1,000 inhabitants2024
Newly built dwellingsHouses0Number2024
Non-dwelling stockHouses11Number2024
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€585,000Average in euro2024
House value classHouses€500.000 tot €750.000Categorical type2024
nannan54Number2024
nannan1Number2024
Privately owned homesHouses46Number2024
Rented homesHouses9Number2024
Rental-housing by corporationHouses0Number2024
Homes other rentalHouses9Number2024
Ownership unknownHouses0Number2024
Single-family housesHouses54Number2024
Multi-family housesHouses1Number2024
InhabitedHouses84%Percentage2024
UninhabitedHouses16%Percentage2024
% Privately owned homesHouses0%Percentage2024
% Rented homesHouses16%Percentage2024
% Rental-housing by corporationHouses0%Percentage2024
% Homes other rentalHouses98%Percentage2024
% Ownership unknownHouses2%Percentage2024
% Single-family housesHouses98%Percentage2024
% Multi-family housesHouses2%Percentage2024
% InhabitedHouses0Number2025
% UninhabitedHouses0Number2025
ApartmentsHouses2Number2025
Terraced housesHouses2Number2025
Corner dwelling typeHouses55Number2025
Semi-detached housesHouses0Number2025
Detached housesHouses0.0%Percentage2025
Unknown dwelling typeHouses0.0%Percentage2025
% Apartment dwelling typeHouses3.0%Percentage2025
% Terraced or linked dwelling typeHouses3.0%Percentage2025
% Corner dwelling typeHouses93%Percentage2025
% Semi-detached dwelling typeHouses0.0%Percentage2025
% Detached dwelling typeHouses5Number2025
% Unknown dwelling typeHouses9Number2025
Dwellings built before 1945Houses10Number2025
Dwellings built from 1945 to 1965Houses10Number2025
Dwellings built from 1965 to 1975Houses8Number2025
Dwellings built from 1975 to 1985Houses6Number2025
Dwellings built from 1985 to 1995Houses4Number2025
Dwellings built from 1995 to 2005Houses6Number2025
Dwellings built from 2005 to 2015Houses0Number2025
Dwellings built from 2015 to 2025Houses1Number2025
Dwellings built from 2025 onwardsHouses8%Percentage2025
Dwellings unknown year of builtHouses15%Percentage2025
% Dwellings built before 1945Houses17%Percentage2025
% Dwellings built from 1945 to 1965Houses17%Percentage2025
% Dwellings built from 1965 to 1975Houses14%Percentage2025
% Dwellings built from 1975 to 1985Houses10%Percentage2025
% Dwellings built from 1985 to 1995Houses7%Percentage2025
% Dwellings built from 1995 to 2005Houses10%Percentage2025
% Dwellings built from 2005 to 2015Houses0.0%Percentage2025
% Dwellings built from 2015 to 2025Houses2.0%Percentage2025
% Dwellings built from 2025 onwardsHouses4,580Average in kWh2024
% Dwellings unknown year of builtHouses3,810Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergyno dataPercentageno data
% Homes with solar powerEnergy3,351Average in kWh2023
% Homes primarily heated by electricityEnergy602Average in kWh2023
Average electricity usage apartmentEnergy671Average in kWh2023
Average electricity usage terraced homesEnergy3,480Average in kWh2023
Average electricity usage corner homesEnergy4,326Average in kWh2023
Average electricity usage semi-detached homesEnergy3,582Average in kWh2023
Average electricity usage detached homesEnergy4,131Average in kWh2023
Average electricity usage owner-occupied homesEnergy1,410Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergyno dataPercentageno data
% Homes with district heatingEnergyno dataPercentageno data
% Natural gas-free homesEnergy964Average per m³2023
% Natural gas homesEnergy220Average per m³2023
Average natural gas usage apartmentEnergy224Average per m³2023
Average natural gas usage terraced homesEnergy1,013Average per m³2023
Average natural gas usage corner homesEnergy1,507Average per m³2023
Average natural gas usage semi-detached homesEnergy1,318Average per m³2023
Average natural gas usage detached homesEnergy1,668Average per m³2023
Average natural gas usage owner-occupied homesEnergy50Number2024
Average natural gas usage rental homesEnergy25Number2024
Businesses totalBusiness5Number2024
Businesses agriculture, forestry, fishingBusiness5Number2024
Businesses industry and energyBusiness5Number2024
Businesses trade and cateringBusiness5Number2024
Businesses transport, information, communicationBusiness5Number2024
Businesses financial services, real estateBusiness0Number2024
Businesses business servicesBusiness0Number2024
Government, education, careBusiness50%Percentage2024
Businesses culture, recreation, other servicesBusiness10%Percentage2024
% Businesses agriculture, forestry, fishingBusiness10%Percentage2024
% Businesses industry and energyBusiness10%Percentage2024
% Businesses trade and cateringBusiness10%Percentage2024
% Businesses transport, information, communicationBusiness10%Percentage2024
% Businesses financial services, real estateBusiness0.0%Percentage2024
% Businesses business servicesBusiness0.0%Percentage2024
% Government, education, careBusiness80Number2024
% Businesses culture, recreation, other servicesBusiness50Number2024
Passenger cars totalTransport30Number2024
Passenger cars petrolTransport1.07Number2024
Passenger cars other fuelTransport35Number2024
Passenger cars per householdTransport5Number2024
MotorcyclesTransport230Number of hectares2025
Public charging stationsTransport230Number of hectares2025
Surface totalRegional0Number of hectares2025
Surface landRegional78Number per km²2025
Surface waterRegional5Indicator 1-52025
Population densityRegional155Average number per km²2025
Address densityRegional2Number2024
Change in classification of neighborhoodsnan1Number2024
Crime totalCrime0Number2024
Crime theftCrime0Number2024
Crime violence and sexual abuseCrime0Number2024
Crime environmentalCrime1Number2024
Crime scamCrime0Number2024
Crime trafficCrime0Number2024
Crime destructionCrime11Number per 1,000 inhabitants2024
Crime otherCrime6Number per 1,000 inhabitants2024
Crime theftCrime0Number per 1,000 inhabitants2024
Crime theftCrime0Number per 1,000 inhabitants2024
Crime violence and sexual abuseCrime0Number per 1,000 inhabitants2024
Crime environmentalCrime6Number per 1,000 inhabitants2024
Crime scamCrime0Number per 1,000 inhabitants2024
Crime trafficCrime0Number per 1,000 inhabitants2024
Crime destructionCrime0Number2024
Crime otherCrime0Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents72Number2025
Traffic accidents deadlyTraffic accidents72Number2025
Addresses totalRegional59Number2025
Addresses with postal codeRegional0Number2025
Addresses with residential functionRegional0Number2025
Addresses with meeting functionRegional0Number2025
Addresses with cell functionRegional19Number2025
Addresses with healthcare functionRegional0Number2025
Addresses with industrial functionRegional0Number2025
Addresses with office functionRegional0Number2025
Addresses with lodging functionRegional0Number2025
Addresses with educational functionRegional1Number2025
Addresses with sports functionRegional5Number2025
Addresses with retail functionRegional72Number2025
Addresses with other usage functionRegional0Number2025
Residential objectsRegional0Number2025
Berth locationsRegional70Number2025
Stand locationsRegional71Number2025
Buildings with addressRegional68Number2025
Addresses with buildingRegional72Number2025
Parcels with addressRegional3Number2025
Addresses with parcelRegional69Number2025
Addresses within built-up areaRegional3Number2025
Addresses outside built-up areaRegional56Number2025
Addresses with residential function within built-up areaRegional0Number2025
Addresses with residential function outside built-up areaRegional1Number2025
Buildings before 1700Regional2Number2025
Buildings 1700 to 1900Regional3Number2025
Buildings 1900 to 1925Regional17Number2025
Buildings 1925 to 1950Regional9Number2025
Buildings 1950 to 1970Regional9Number2025
Buildings 1970 to 1980Regional8Number2025
Buildings 1980 to 1990Regional13Number2025
Buildings 1990 to 2000Regional4Number2025
Buildings 2000 to 2010Regional4Number2025
Buildings 2010 to 2020Regional0Number2025
Buildings 2020 and laterRegional1Number2025
Buildings built before 1700Regional2Number2025
Buildings built from 1700 to 1900Regional3Number2025
Buildings built from 1900 to 1925Regional17Number2025
Buildings built from 1925 to 1950Regional9Number2025
Buildings built from 1950 to 1970Regional9Number2025
Buildings built from 1970 to 1980Regional9Number2025
Buildings built from 1980 to 1990Regional13Number2025
Buildings built from 1990 to 2000Regional4Number2025
Buildings built from 2000 to 2010Regional4Number2025
Buildings built from 2010 to 2020Regional17Number2025
Buildings built from 2020 onwardsRegional33Number2025
Undetermined energy labelEnergy consumption22Number2025
Provisional energy labelEnergy consumption0Number2025
Final energy labelsEnergy consumption0Number2025
Energy label A+++++Energy consumption1Number2025
Energy label A++++Energy consumption2Number2025
Energy label A+++Energy consumption0Number2025
Energy label A++Energy consumption8Number2025
Energy label A+Energy consumption6Number2025
Energy label AEnergy consumption15Number2025
Energy label BEnergy consumption6Number2025
Energy label CEnergy consumption3Number2025
Energy label DEnergy consumption7Number2025
Energy label EEnergy consumption7Number2025
Energy label FEnergy consumption5712AP-5712XXName2025
nanType of house number range5712Name2025
nanNumber of public space100%Percentage2025
Most common zipcodeRegional1.8Average distance in km2024
Coverage percentage most common zipcodeRegional0.1Average number2024
Distance to general practitionerProximity1.9Average number2024
General practitioners within 1 kmProximity3.8Average number2024
General practitioners within 3 kmProximity15Average distance in km2024
General practitioners within 5 kmProximity3.2Average distance in km2024
Distance to general practitioner postProximity15Average distance in km2024
Pharmacy distanceProximity0.0Average number2024
Hospital with outpatient clinic distanceProximity0.0Average number2024
Hospitals with outpatient clinic within 5 kmProximity6Average number2024
Hospitals with outpatient clinic within 10 kmProximity15Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity0.0Average number2024
Hospitals within 5 kmProximity3.0Average number2024
Hospitals within 10 kmProximity3.0Average distance in km2024
Hospitals within 20 kmProximity0.0Average number2024
Large supermarket distanceProximity1.6Average number2024
Large supermarkets within 1 kmProximity4.8Average number2024
Large supermarkets within 3 kmProximity1.5Average distance in km2024
Large supermarkets within 5 kmProximity0.3Average number2024
Other daily groceries distanceProximity7.7Average number2024
Other daily groceries within 1 kmProximity17Average number2024
Other daily groceries within 3 kmProximity3.6Average distance in km2024
Other daily groceries within 5 kmProximity1.0Average number2024
Department store distanceProximity2.0Average number2024
Department stores within 5 kmProximity11Average number2024
Department stores within 10 kmProximity1.5Average distance in km2024
Department stores within 20 kmProximity0.2Average number2024
Cafe distanceProximity3.4Average number2024
Cafes within 1 kmProximity5.8Average number2024
Cafes within 3 kmProximity1.8Average distance in km2024
Cafes within 5 kmProximity0.2Average number2024
Snack bar distanceProximity4.0Average number2024
Snack bars within 1 kmProximity11Average number2024
Snack bars within 3 kmProximity1.5Average distance in km2024
Snack bars within 5 kmProximity0.3Average number2024
Restaurant distanceProximity6.6Average number2024
Restaurants within 1 kmProximity15Average number2024
Restaurants within 3 kmProximity3.5Average distance in km2024
Restaurants within 5 kmProximity1.9Average number2024
Hotel distanceProximity4.7Average number2024
Hotels within 5 kmProximity22Average number2024
Hotels within 10 kmProximity1.6Average distance in km2024
Hotels within 20 kmProximity0.1Average number2024
Daycare distanceProximity3.9Average number2024
Daycares within 1 kmProximity9.4Average number2024
Daycares within 3 kmProximity1.5Average distance in km2024
Daycares within 5 kmProximity0.1Average number2024
After-school care distanceProximity4.4Average number2024
After-school care within 1 kmProximity8.6Average number2024
After-school care within 3 kmProximity1.6Average distance in km2024
After-school care within 5 kmProximity0.1Average number2024
Primary education distanceProximity2.8Average number2024
Primary education within 1 kmProximity5.8Average number2024
Primary education within 3 kmProximity3.7Average distance in km2024
Primary education within 5 kmProximity0.1Average number2024
Secondary education total distanceProximity1.0Average number2024
Secondary education total within 3 kmProximity2.6Average number2024
Secondary education total within 5 kmProximity3.7Average distance in km2024
Secondary education total within 10 kmProximity0.1Average number2024
Secondary education VMBO distanceProximity1.0Average number2024
Secondary education VMBO within 3 kmProximity2.6Average number2024
Secondary education VMBO within 5 kmProximity6Average distance in km2024
Secondary education VMBO within 10 kmProximity0.0Average number2024
Secondary education HAVO VWO distanceProximity0.1Average number2024
Secondary education HAVO VWO within 3 kmProximity1.0Average number2024
Secondary education HAVO VWO within 5 kmProximity1.03Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity4.67Average distance in km2017
Public green space total distanceProximity1.82Average distance in km2017
Park or garden distanceProximity1.25Average distance in km2017
Day recreational area distanceProximity2.75Average distance in km2017
Forest distanceProximity4.81Average distance in km2017
Open natural area total distanceProximity2.83Average distance in km2017
Open dry natural area distanceProximity1.62Average distance in km2017
Open wet natural area distanceProximity1.69Average distance in km2017
Semi-public green space total distanceProximity6.3Average distance in km2017
Sports field distanceProximity3.08Average distance in km2017
Allotment garden distanceProximity7.2Average distance in km2017
Residential recreational area distanceProximity10Average distance in km2017
Cemetery distanceProximity2.5Average distance in km2024
Recreational inland water distanceProximity10Average distance in km2024
Main road access distanceProximity15Average distance in km2024
Train station distanceProximity3.5Average distance in km2024
Major transfer station distanceProximity3.0Average distance in km2024
Library distanceProximity24Average distance in km2024
Swimming pool distanceProximity3.1Average distance in km2024
Artificial ice rink distanceProximity1.0Average number2024
Performing arts distanceProximity1.0Average number2024
Performing arts within 5 kmProximity6Average number2024
Performing arts within 10 kmProximity15Average distance in km2024
Performing arts within 20 kmProximity15Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity0.0Average number2024
Cinemas within 5 kmProximity3.0Average number2024
Cinemas within 10 kmProximity14Average distance in km2024
Cinemas within 20 kmProximity10Average distance in km2024
Sauna distanceProximity6.6Average distance in km2024
Tanning salon distanceProximity0.0Average number2024
Museum distanceProximity1.0Average number2024
Museums within 5 kmProximity8Average number2024
Museums within 10 kmProximity0.9Average distance in km2024
Museums within 20 kmProximity1.0Average number2024
Attraction distanceProximity5Average number2024
Attractions within 10 kmProximity33Average number2024
Attractions within 20 kmProximity2.7Average distance in km2024

Table with more than 250 topics for the neighbourhood Vlas.

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

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.
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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