Statistics neighbourhood Schinnen

Statistics neighbourhood Schinnen

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

Population per year
The neighbourhood Schinnen has 1.545 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 Schinnen.


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

JaarPopulation Neighbourhood Schinnen% difference
20251.5450,98%
20241.5300,0%
20231.530-0,65%
20221.5400,0%
20211.5400,98%
20201.525-0,97%
20191.540-0,96%
20181.5551,97%
20171.525-1,61%
20161.550-0,32%
20151.555-0,64%
20141.5650,32%
20131.560geen data

Het number of inhabitants in the neighbourhood Schinnen has changed with 15 inhabitants from 1.560 inhabitants in 2013 to 1.545 inhabitants in 2025 (that is a change of 0,96%). The average difference per year over the entire period from 2013 to 2025 was -1 inhabitant (-0,08%).

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 Schinnen
Map of the surroundings of the neighbourhood Schinnen.
Image of the neighbourhood Schinnen 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 Schinnen (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 Wijk 05 with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Verspreide huizen, 2: Puth, 3: Sweikhuizen, 4: Schinnen, 5: Thull, 6: Hommert (gedeeltelijk), 7: Nagelbeek-Hegge.

Regional overview

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House characteristics
There are 782 houses in de buurt Schinnen.
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 Schinnen:

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 Schinnen
The average property value in The neighbourhood Schinnen was €290.000 in 2024.

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


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

JaarAverage property value Neighbourhood Schinnen% difference
2024€290.0001,05%
2023€287.00017%
2022€246.00010%
2021€223.0006,7%
2020€209.0008,3%
2019€193.0005,5%
2018€183.0005,8%
2017€173.0000,58%
2016€172.0001,18%
2015€170.000-3,41%
2014€176.000-5,4%
2013€186.000geen data

The average property value in the neighbourhood Schinnen has changed with €104.000 from €186.000 in 2013 to €290.000 in 2024 (that is a change of 56%). The average difference per year over the entire period from 2013 to 2024 was €9.455 (4,29%). The development of the data over time follows a clearly increasing trend: The numbers grow almost every year.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Types of dwellings
Apartments is most common in Neighbourhood Schinnen: there are 229 addresses with house type apartments.
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The pie chart above shows the number and percentage of dwellings by type in the neighbourhood Schinnen.

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 Schinnen are D (145 addresses) and C (136 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood Schinnen. 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 D is most common in Neighbourhood Schinnen: 145 addresses have energy label D. The download with detailed information for the municipality Beekdaelen 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 2 traffic accidents in total in Neighbourhood Schinnen in 2024.

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

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total2
Material damage2
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 Schinnen.

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 Schinnen. 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 November 17th, 2025.

Total recorded crime per month or per year
In 2024 a total of 48 crimes were registered in Neighbourhood Schinnen.
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Total number of registered crimes in the neighbourhood Schinnen, from 2012 to 2024 inclusive (when displaying the data per year) or May 2024 to October 2025 (when displaying the data per month).

In the neighbourhood Schinnen a total of 934 crimes have been registered from 2012 to 2024. These crimes are classified into 28 different types of crime. In 2024 the police recorded 48 crimes in the neighbourhood Schinnen. 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 Schinnen in 2024 are Horizontal fraud (9 crimes) en Other property crimes (8 crimes).
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Number of crimes for the ten most common types of crimes, 2024, neighbourhood Schinnen.

Crime definitions (Dutch)
Total crime per month
In October 2025 a total of 3 crimes were registered in Neighbourhood Schinnen.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Schinnen 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 Schinnen 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 Beekdaelen.

Crimes per 1,000 inhabitants
There were 17 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2024 in Neighbourhood Schinnen.
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Crime: number of crimes per 1,000 inhabitants in 2024 in the neighbourhood Schinnen.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood Schinnen. For this purpose, the data on crimes have been grouped into (1) the total number of thefts (all forms, such as theft from homes and sheds, theft of cars and bicycles and shoplifting), (2) violence and sex crimes, (3) environmental violations, (4) fraud, (5) traffic violations, (6) vandalism and crimes against public order and (7) all other crimes.

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Births per 1,000 inhabitants
9 babies per 1,000 inhabitants were born in 2024 in Neighbourhood Schinnen.
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The chart above shows the development of the number of live babies born per 1,000 inhabitants the neighbourhood Schinnen.

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

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 codeRegionalBU19540500Code2025
Region nameRegionalSchinnenName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional19540500Code2025
InhabitantsPopulation1,545Number2025
MenPopulation760Number2025
WomenPopulation780Number2025
Ages 0 - 15Population175Number2025
Ages 15 - 25Population135Number2025
Ages 25 - 45Population300Number2025
Ages 45 - 65Population430Number2025
Ages 65 and upPopulation505Number2025
Not marriedPopulation585Number2025
MarriedPopulation685Number2025
DivorcedPopulation140Number2025
WidowedPopulation140Number2025
% MenPopulation49%Percentage2025
% WomenPopulation51%Percentage2025
% Ages 0 - 15Population11%Percentage2025
% Ages 15 - 25Population8.7%Percentage2025
% Ages 25 - 45Population19%Percentage2025
% Ages 45 - 65Population28%Percentage2025
% Ages 65 and upPopulation33%Percentage2025
% Not marriedPopulation38%Percentage2025
% MarriedPopulation44%Percentage2025
% DivorcedPopulation9%Percentage2025
% WidowedPopulation9%Percentage2025
Births totalPopulation15Number2024
Births relativePopulation9Number per 1,000 inhabitants2024
Mortality totalPopulation35Number2024
Mortality relativePopulation22Number per 1,000 inhabitants2024
Origin NetherlandsMigration1,280Number2025
Origin outside NetherlandsMigration265Number2025
Origin EuropeMigration140Number2025
Origin outside EuropeMigration125Number2025
% Origin NetherlandsMigration83%Percentage2025
% Origin outside NetherlandsMigration17%Percentage2025
% Origin EuropeMigration9.1%Percentage2025
% Origin outside EuropeMigration8.1%Percentage2025
Born in Netherlands origin NetherlandsMigration1,280Number2025
Born in Netherlands origin EuropeMigration100Number2025
Born in Netherlands origin outside EuropeMigration45Number2025
Born in NetherlandsMigration145Number2025
Born in NetherlandsMigration1,425Number2025
Born outside Netherlands origin EuropeMigration40Number2025
Born outside Netherlands origin outside EuropeMigration85Number2025
Born outside NetherlandsMigration125Number2025
% Born in Netherlands origin NetherlandsMigration83%Percentage2025
% Born in Netherlands origin EuropeMigration6.5%Percentage2025
% Born in Netherlands origin outside EuropeMigration9.4%Percentage2025
% Born in NetherlandsMigration2.91%Percentage2025
% Born in NetherlandsMigration92%Percentage2025
% Born outside Netherlands origin EuropeMigration2.59%Percentage2025
% Born outside Netherlands origin outside EuropeMigration5.5%Percentage2025
% Born outside NetherlandsMigration8.1%Percentage2025
Native DutchMigration1,310Number2022
Western totalMigration170Number2022
Non-western totalMigration60Number2022
Dutch Antilles and ArubaMigration0Number2022
MoroccoMigration10Number2022
SurinameMigration0Number2022
TurkeyMigration0Number2022
Other non-westernMigration45Number2022
Primary school pupils Education100Number2024
Secondary school pupils Education60Number2024
Secondary vocational education students (MBO) Education30Number2024
Higher professional education students (HBO) Education20Number2024
University students (WO) Education10Number2024
Practical education level Education230Number2023
Intermediate education level Education520Number2023
Theoretical education level Education310Number2023
% Practical education level Education22%Percentage2023
% Intermediate education level Education49%Percentage2023
% Theoretical education level Education29%Percentage2023
Households Households760Number2025
Single-person households Households280Number2025
Multi-person households Households480Number2025
Multi-person households without children Households270Number2025
Multi-person households with children Households205Number2025
% Single-person households Households37%Percentage2025
% Multi-person households Households63%Percentage2025
% Multi-person households without children Households36%Percentage2025
% Multi-person households with children Households27%Percentage2025
Average household size Households2.0Average number2025
Employed labour force Income700Number2023
Net labor participationIncome66%Percentage2023
% EmployeesIncome83%Percentage2023
% Employees with permanent contractsIncome58%Percentage2023
% Employees with flexible contractsIncome25%Percentage2023
% Self-employedIncome17%Percentage2023
Income receivers per 1,000 inhabitantsIncome1,300Number2023
Income receiversIncome850Number per 1,000 inhabitants2023
Average income per income recipientIncome€35,100Average in euro2022
Average income per inhabitantIncome€30,000Average in euro2022
40% persons with lowest incomeIncome41%Percentage2023
20% persons with highest incomeIncome16%Percentage2023
Average standardized household incomeIncome€33,100euro2022
40% households with lowest incomeIncome45%Percentage2023
20% households with highest incomeIncome18%Percentage2023
Households with a low incomeIncome3.1%Percentage2023
% Households at social minimumIncome5.9%Percentage2023
Households up to 110% of the social minimumIncome9.7%Percentage2023
Households up to 120% of the social minimumIncome12%Percentage2023
Median capital assets of private householdsIncome€148,400euro2023
Persons with social security welfareIncome50Number2024
Persons with social security for incapacity for workIncome90Number2024
Persons with social security for unemployedIncome20Number2024
Persons with social security for elderlyIncome460Number2024
Persons with social security welfareIncome3%Percentage2024
Persons with social security for incapacity for workIncome6%Percentage2024
Persons with social security for unemployedIncome1%Percentage2024
Persons with social security for elderlyIncome30%Percentage2024
Young people with youth care in kindPopulation25Number2023
% Young people with youth carePopulation9.5%Percentage2023
WMO clientsPopulation165Number2023
WMO clients relativePopulation107Number per 1,000 inhabitants2023
Housing stockHouses782Number2024
Houses per 1,000 inhabitantsHouses511Number per 1,000 inhabitants2024
Newly built dwellingsHouses1Number2024
Non-dwelling stockHouses76Number2024
Newly built non-dwellingsHouses1Number2024
Average house valueHouses€290,000Average in euro2024
House value classHouses€250.000 tot €300.000Categorical type2024
Privately owned homesHouses547Number2024
Rented homesHouses235Number2024
Rental-housing by corporationHouses477Number2024
Homes other rentalHouses305Number2024
Ownership unknownHouses235Number2024
Single-family housesHouses70Number2024
Multi-family housesHouses0Number2024
InhabitedHouses735Number2024
UninhabitedHouses47Number2024
% Privately owned homesHouses61%Percentage2024
% Rented homesHouses39%Percentage2024
% Rental-housing by corporationHouses30%Percentage2024
% Homes other rentalHouses9%Percentage2024
% Ownership unknownHouses0%Percentage2024
% Single-family housesHouses70%Percentage2024
% Multi-family housesHouses30%Percentage2024
% InhabitedHouses94%Percentage2024
% UninhabitedHouses6%Percentage2024
ApartmentsHouses229Number2025
Terraced housesHouses126Number2025
Corner dwelling typeHouses86Number2025
Semi-detached housesHouses186Number2025
Detached housesHouses149Number2025
Unknown dwelling typeHouses0Number2025
% Apartment dwelling typeHouses30%Percentage2025
% Terraced or linked dwelling typeHouses16%Percentage2025
% Corner dwelling typeHouses11%Percentage2025
% Semi-detached dwelling typeHouses24%Percentage2025
% Detached dwelling typeHouses19%Percentage2025
% Unknown dwelling typeHouses0.0%Percentage2025
Dwellings built before 1945Houses137Number2025
Dwellings built from 1945 to 1965Houses161Number2025
Dwellings built from 1965 to 1975Houses204Number2025
Dwellings built from 1975 to 1985Houses31Number2025
Dwellings built from 1985 to 1995Houses129Number2025
Dwellings built from 1995 to 2005Houses59Number2025
Dwellings built from 2005 to 2015Houses28Number2025
Dwellings built from 2015 to 2025Houses26Number2025
Dwellings built from 2025 onwardsHouses0Number2025
Dwellings unknown year of builtHouses1Number2025
% Dwellings built before 1945Houses18%Percentage2025
% Dwellings built from 1945 to 1965Houses21%Percentage2025
% Dwellings built from 1965 to 1975Houses26%Percentage2025
% Dwellings built from 1975 to 1985Houses4.0%Percentage2025
% Dwellings built from 1985 to 1995Houses17%Percentage2025
% Dwellings built from 1995 to 2005Houses8%Percentage2025
% Dwellings built from 2005 to 2015Houses4.0%Percentage2025
% Dwellings built from 2015 to 2025Houses3.0%Percentage2025
% Dwellings built from 2025 onwardsHouses0.0%Percentage2025
% Dwellings unknown year of builtHouses0.0%Percentage2025
Average electricity supply per homeEnergy2,770Average in kWh2024
Average electricity feed-inEnergy1,120Average in kWh2024
% Homes with solar powerEnergy51%Percentage2024
% Homes primarily heated by electricityEnergy7%Percentage2024
Average electricity usage apartmentEnergy1,830Average in kWh2023
Average electricity usage terraced homesEnergy2,830Average in kWh2023
Average electricity usage corner homesEnergy2,930Average in kWh2023
Average electricity usage semi-detached homesEnergy3,080Average in kWh2023
Average electricity usage detached homesEnergy3,530Average in kWh2023
Average electricity usage owner-occupied homesEnergy1,910Average in kWh2023
Average electricity usage rental homesEnergy3,240Average in kWh2023
Average natural gas usage totalEnergy910Average per m³2024
% Homes with district heatingEnergy0%Percentage2014
% Natural gas-free homesEnergy2%Percentage2024
% Natural gas homesEnergy90%Percentage2024
Average natural gas usage apartmentEnergy680Average per m³2023
Average natural gas usage terraced homesEnergy840Average per m³2023
Average natural gas usage corner homesEnergy960Average per m³2023
Average natural gas usage semi-detached homesEnergy1,020Average per m³2023
Average natural gas usage detached homesEnergy1,410Average per m³2023
Average natural gas usage owner-occupied homesEnergy1,100Average per m³2023
Average natural gas usage rental homesEnergy720Average per m³2023
Businesses totalBusiness185Number2024
Businesses agriculture, forestry, fishingBusiness0Number2024
Businesses industry and energyBusiness30Number2024
Businesses trade and cateringBusiness30Number2024
Businesses transport, information, communicationBusiness5Number2024
Businesses financial services, real estateBusiness5Number2024
Businesses business servicesBusiness40Number2024
Government, education, careBusiness45Number2024
Businesses culture, recreation, other servicesBusiness30Number2024
% Businesses agriculture, forestry, fishingBusiness0.0%Percentage2024
% Businesses industry and energyBusiness16%Percentage2024
% Businesses trade and cateringBusiness16%Percentage2024
% Businesses transport, information, communicationBusiness2.7%Percentage2024
% Businesses financial services, real estateBusiness2.7%Percentage2024
% Businesses business servicesBusiness22%Percentage2024
% Government, education, careBusiness24%Percentage2024
% Businesses culture, recreation, other servicesBusiness16%Percentage2024
Passenger cars totalTransport840Number2024
Passenger cars petrolTransport710Number2024
Passenger cars other fuelTransport130Number2024
Passenger cars per householdTransport1.11Number2024
Passenger cars per surfaceTransport362Number2024
MotorcyclesTransport55Number2024
Surface totalRegional236Number of hectares2025
Surface landRegional232Number of hectares2025
Surface waterRegional4Number of hectares2025
Population densityRegional666Number per km²2025
Degree of urbanizationRegional5Indicator 1-52025
Address densityRegional358Average number per km²2025
Crime totalCrime48Number2024
Crime theftCrime26Number2024
Crime violence and sexual abuseCrime2Number2024
Crime environmentalCrime0Number2024
Crime scamCrime9Number2024
Crime trafficCrime8Number2024
Crime destructionCrime2Number2024
Crime otherCrime1Number2024
Crime theftCrime31Number per 1,000 inhabitants2024
Crime theftCrime17Number per 1,000 inhabitants2024
Crime violence and sexual abuseCrime1Number per 1,000 inhabitants2024
Crime environmentalCrime0Number per 1,000 inhabitants2024
Crime scamCrime6Number per 1,000 inhabitants2024
Crime trafficCrime5Number per 1,000 inhabitants2024
Crime destructionCrime1Number per 1,000 inhabitants2024
Crime otherCrime1Number per 1,000 inhabitants2024
Traffic accidents totalTraffic accidents2Number2024
Traffic accidents only material damageTraffic accidents2Number2024
Traffic accidents injuriesTraffic accidents0Number2024
Traffic accidents deadlyTraffic accidents0Number2024
Addresses totalRegional863Number2025
Addresses with postal codeRegional851Number2025
Addresses with residential functionRegional776Number2025
Addresses with meeting functionRegional12Number2025
Addresses with cell functionRegional0Number2025
Addresses with healthcare functionRegional6Number2025
Addresses with industrial functionRegional6Number2025
Addresses with office functionRegional14Number2025
Addresses with lodging functionRegional6Number2025
Addresses with educational functionRegional3Number2025
Addresses with sports functionRegional2Number2025
Addresses with retail functionRegional18Number2025
Addresses with other usage functionRegional29Number2025
Residential objectsRegional854Number2025
Berth locationsRegional0Number2025
Stand locationsRegional9Number2025
Buildings with addressRegional639Number2025
Addresses with buildingRegional853Number2025
Parcels with addressRegional553Number2025
Addresses with parcelRegional863Number2025
Addresses within built-up areaRegional850Number2025
Addresses outside built-up areaRegional13Number2025
Addresses with residential function within built-up areaRegional771Number2025
Addresses with residential function outside built-up areaRegional5Number2025
Buildings before 1700Regional4Number2025
Buildings 1700 to 1900Regional24Number2025
Buildings 1900 to 1925Regional54Number2025
Buildings 1925 to 1950Regional55Number2025
Buildings 1950 to 1970Regional259Number2025
Buildings 1970 to 1980Regional104Number2025
Buildings 1980 to 1990Regional75Number2025
Buildings 1990 to 2000Regional26Number2025
Buildings 2000 to 2010Regional19Number2025
Buildings 2010 to 2020Regional8Number2025
Buildings 2020 and laterRegional11Number2025
Buildings built before 1700Regional5Number2025
Buildings built from 1700 to 1900Regional27Number2025
Buildings built from 1900 to 1925Regional63Number2025
Buildings built from 1925 to 1950Regional64Number2025
Buildings built from 1950 to 1970Regional267Number2025
Buildings built from 1970 to 1980Regional147Number2025
Buildings built from 1980 to 1990Regional119Number2025
Buildings built from 1990 to 2000Regional57Number2025
Buildings built from 2000 to 2010Regional76Number2025
Buildings built from 2010 to 2020Regional17Number2025
Buildings built from 2020 onwardsRegional11Number2025
Undetermined energy labelEnergy consumption61Number2025
Provisional energy labelEnergy consumption300Number2025
Final energy labelsEnergy consumption502Number2025
Energy label A+++++Energy consumption0Number2025
Energy label A++++Energy consumption1Number2025
Energy label A+++Energy consumption12Number2025
Energy label A++Energy consumption2Number2025
Energy label A+Energy consumption31Number2025
Energy label AEnergy consumption100Number2025
Energy label BEnergy consumption116Number2025
Energy label CEnergy consumption136Number2025
Energy label DEnergy consumption145Number2025
Energy label EEnergy consumption47Number2025
Energy label FEnergy consumption109Number2025
Energy label GEnergy consumption103Number2025
Zipcode areaRegional6365AE-6365CVName2025
Most common zipcodeRegional6365Name2025
Coverage percentage most common zipcodeRegional100%Percentage2025
Distance to general practitionerProximity0.6Average distance in km2024
General practitioners within 1 kmProximity0.9Average number2024
General practitioners within 3 kmProximity3.3Average number2024
General practitioners within 5 kmProximity11Average number2024
Distance to general practitioner postProximity7.3Average distance in km2024
Pharmacy distanceProximity3.1Average distance in km2024
Hospital with outpatient clinic distanceProximity6.5Average distance in km2024
Hospitals with outpatient clinic within 5 kmProximity0.0Average number2024
Hospitals with outpatient clinic within 10 kmProximity2.0Average number2024
Hospitals with outpatient clinic within 20 kmProximity5.1Average number2024
Hospital distanceProximity6.5Average distance in km2024
Hospitals within 5 kmProximity0.0Average number2024
Hospitals within 10 kmProximity1.0Average number2024
Hospitals within 20 kmProximity2.1Average number2024
Large supermarket distanceProximity0.5Average distance in km2024
Large supermarkets within 1 kmProximity1.0Average number2024
Large supermarkets within 3 kmProximity2.6Average number2024
Large supermarkets within 5 kmProximity14Average number2024
Other daily groceries distanceProximity0.4Average distance in km2024
Other daily groceries within 1 kmProximity2.0Average number2024
Other daily groceries within 3 kmProximity8.6Average number2024
Other daily groceries within 5 kmProximity35Average number2024
Department store distanceProximity4.5Average distance in km2024
Department stores within 5 kmProximity0.8Average number2024
Department stores within 10 kmProximity5.1Average number2024
Department stores within 20 kmProximity16Average number2024
Cafe distanceProximity0.4Average distance in km2024
Cafes within 1 kmProximity1.6Average number2024
Cafes within 3 kmProximity6.5Average number2024
Cafes within 5 kmProximity20Average number2024
Snack bar distanceProximity0.4Average distance in km2024
Snack bars within 1 kmProximity1.9Average number2024
Snack bars within 3 kmProximity8.2Average number2024
Snack bars within 5 kmProximity38Average number2024
Restaurant distanceProximity0.5Average distance in km2024
Restaurants within 1 kmProximity2.6Average number2024
Restaurants within 3 kmProximity9Average number2024
Restaurants within 5 kmProximity38Average number2024
Hotel distanceProximity3.3Average distance in km2024
Hotels within 5 kmProximity2.8Average number2024
Hotels within 10 kmProximity24Average number2024
Hotels within 20 kmProximity133Average number2024
Daycare distanceProximity0.6Average distance in km2024
Daycares within 1 kmProximity0.9Average number2024
Daycares within 3 kmProximity5.2Average number2024
Daycares within 5 kmProximity20Average number2024
After-school care distanceProximity0.7Average distance in km2024
After-school care within 1 kmProximity0.9Average number2024
After-school care within 3 kmProximity3.3Average number2024
After-school care within 5 kmProximity14Average number2024
Primary education distanceProximity0.7Average distance in km2024
Primary education within 1 kmProximity0.9Average number2024
Primary education within 3 kmProximity3.3Average number2024
Primary education within 5 kmProximity13Average number2024
Secondary education total distanceProximity3.6Average distance in km2024
Secondary education total within 3 kmProximity0.1Average number2024
Secondary education total within 5 kmProximity2.7Average number2024
Secondary education total within 10 kmProximity16Average number2024
Secondary education VMBO distanceProximity4.6Average distance in km2024
Secondary education VMBO within 3 kmProximity0.0Average number2024
Secondary education VMBO within 5 kmProximity0.8Average number2024
Secondary education VMBO within 10 kmProximity11Average number2024
Secondary education HAVO VWO distanceProximity3.6Average distance in km2024
Secondary education HAVO VWO within 3 kmProximity0.1Average number2024
Secondary education HAVO VWO within 5 kmProximity1.8Average number2024
Secondary education HAVO VWO within 10 kmProximity6.8Average number2024
Public green space total distanceProximity0.2Average distance in km2017
Park or garden distanceProximity0.4Average distance in km2017
Day recreational area distanceProximity3.9Average distance in km2017
Forest distanceProximity0.3Average distance in km2017
Open natural area total distanceProximity2.0Average distance in km2017
Open dry natural area distanceProximity2.0Average distance in km2017
Open wet natural area distanceProximity7.2Average distance in km2017
Semi-public green space total distanceProximity0.8Average distance in km2017
Sports field distanceProximity1.1Average distance in km2017
Allotment garden distanceProximity3.8Average distance in km2017
Residential recreational area distanceProximity0.8Average distance in km2017
Cemetery distanceProximity3.3Average distance in km2017
Recreational inland water distanceProximity4.0Average distance in km2017
Main road access distanceProximity2.4Average distance in km2024
Train station distanceProximity1.2Average distance in km2024
Major transfer station distanceProximity8.4Average distance in km2024
Library distanceProximity3.3Average distance in km2024
Swimming pool distanceProximity5.4Average distance in km2024
Artificial ice rink distanceProximity5.9Average distance in km2024
Performing arts distanceProximity7.9Average distance in km2024
Performing arts within 5 kmProximity0.0Average number2024
Performing arts within 10 kmProximity2.0Average number2024
Performing arts within 20 kmProximity7.1Average number2024
Pop venue distanceProximity8Average distance in km2024
Cinema distanceProximity7.3Average distance in km2024
Cinemas within 5 kmProximity0.0Average number2024
Cinemas within 10 kmProximity3.2Average number2024
Cinemas within 20 kmProximity7.7Average number2024
Sauna distanceProximity8Average distance in km2024
Tanning salon distanceProximity2.7Average distance in km2024
Museum distanceProximity5.3Average distance in km2024
Museums within 5 kmProximity0.1Average number2024
Museums within 10 kmProximity2.9Average number2024
Museums within 20 kmProximity14Average number2024
Attraction distanceProximity8.2Average distance in km2024
Attractions within 10 kmProximity2.0Average number2024
Attractions within 20 kmProximity11Average number2024
Attractions within 50 kmProximity18Average number2024
Fire station distanceProximity0.6Average distance in km2024

Table with more than 250 topics for the neighbourhood Schinnen.

👆 The table above shows the latest available data for the neighbourhood Schinnen 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:

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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