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

The population of 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 768 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 €312.000 in 2025.

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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
2025€312.0007,6%
2024€290.0001,4%
2023€286.00016%
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 €126.000 from €186.000 in 2013 to €312.000 in 2025 (that is a change of 68%). The average difference per year over the entire period from 2013 to 2025 was €10.500 (4,56%). The development of the data over time follows a clearly increasing trend: The numbers increase 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
% Inhabited is most common in Neighbourhood Schinnen: there are 229 addresses with house type % inhabited.
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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 januari 2026.

Energy labels
The most common energy labels in Neighbourhood Schinnen are C (134 addresses) and B (118 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 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 C is most common in Neighbourhood Schinnen: 134 addresses have energy label C. 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 January 15th, 2026.

Total recorded crime per month or per year
In 2025 a total of 39 crimes were registered in Neighbourhood Schinnen.
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Total number of registered crimes in the neighbourhood Schinnen, 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 Schinnen a total of 973 crimes have been registered from 2012 to 2025. These crimes are classified into 29 different types of crime. In 2025 the police recorded 39 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 2025 are Accidents (road) (10 crimes) en Horizontal fraud (6 crimes).
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Number of crimes for the ten most common types of crimes, 2025, neighbourhood Schinnen.

Crime definitions (Dutch)
Total crime per month
In December 2025 no 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 11 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Neighbourhood Schinnen.
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Crime: number of crimes per 1,000 inhabitants in 2025 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 inhabitantsIncome1,300Number2024
Income receiversIncome850Number per 1,000 inhabitants2024
Average income per income recipientIncome€37,000Average in euro2023
Average income per inhabitantIncome€32,100Average in euro2023
40% persons with lowest incomeIncome44%Percentage2024
20% persons with highest incomeIncome17%Percentage2024
% persons Income2.6%Percentage2024
% persons Income6.6%Percentage2024
Average standardized household incomeIncome€36,400euro2023
40% households with lowest incomeIncome44%Percentage2024
20% households with highest incomeIncome18%Percentage2024
Households with a low incomeIncome3.0%Percentage2023
% Households at social minimumIncome6.1%Percentage2023
Households up to 110% of the social minimumIncome9.5%Percentage2023
Households up to 120% of the social minimumIncome12%Percentage2023
Median capital assets of private householdsIncome€147,000euro2024
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 kindPopulation20Number2024
% Young people with youth carePopulation7.8%Percentage2024
Wmo clientsPopulation150Number2024
Wmo clients relativePopulation97Number per 1,000 inhabitants2024
Housing stockHouses768Number2025
Houses per 1,000 inhabitantsHouses497Number per 1,000 inhabitants2025
Newly built dwellingsHouses1Number2024
Non-dwelling stockHouses74Number2025
Newly built non-dwellingsHouses1Number2024
Average house valueHouses€312,000Average in euro2025
House value classHouses€300.000 tot €350.000Categorical type2025
nannan530Number2025
nannan238Number2025
Privately owned homesHouses476Number2025
Rented homesHouses292Number2025
Rental-housing by corporationHouses215Number2025
Homes other rentalHouses77Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses737Number2025
Multi-family housesHouses31Number2025
InhabitedHouses62%Percentage2025
UninhabitedHouses38%Percentage2025
% Privately owned homesHouses28%Percentage2025
% Rented homesHouses10%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses69%Percentage2025
% Ownership unknownHouses31%Percentage2025
% Single-family housesHouses96%Percentage2025
% Multi-family housesHouses4%Percentage2025
% InhabitedHouses229Number2026
% UninhabitedHouses126Number2026
ApartmentsHouses86Number2026
Terraced housesHouses186Number2026
Corner dwelling typeHouses149Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses30%Percentage2026
Unknown dwelling typeHouses16%Percentage2026
% Apartment dwelling typeHouses11%Percentage2026
% Terraced or linked dwelling typeHouses24%Percentage2026
% Corner dwelling typeHouses19%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses137Number2026
% Unknown dwelling typeHouses161Number2026
Dwellings built before 1945Houses204Number2026
Dwellings built from 1945 to 1965Houses31Number2026
Dwellings built from 1965 to 1975Houses129Number2026
Dwellings built from 1975 to 1985Houses59Number2026
Dwellings built from 1985 to 1995Houses28Number2026
Dwellings built from 1995 to 2005Houses26Number2026
Dwellings built from 2005 to 2015Houses0Number2026
Dwellings built from 2015 to 2025Houses1Number2026
Dwellings built from 2025 onwardsHouses18%Percentage2026
Dwellings unknown year of builtHouses21%Percentage2026
% Dwellings built before 1945Houses26%Percentage2026
% Dwellings built from 1945 to 1965Houses4.0%Percentage2026
% Dwellings built from 1965 to 1975Houses17%Percentage2026
% Dwellings built from 1975 to 1985Houses8%Percentage2026
% Dwellings built from 1985 to 1995Houses4.0%Percentage2026
% Dwellings built from 1995 to 2005Houses3.0%Percentage2026
% Dwellings built from 2005 to 2015Houses0.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses2,770Average in kWh2024
% Dwellings unknown year of builtHouses1,120Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy7%Percentage2024
% Homes with solar powerEnergy1,830Average in kWh2023
% Homes primarily heated by electricityEnergy2,830Average in kWh2023
Average electricity usage apartmentEnergy2,930Average in kWh2023
Average electricity usage terraced homesEnergy3,080Average in kWh2023
Average electricity usage corner homesEnergy3,530Average in kWh2023
Average electricity usage semi-detached homesEnergy1,910Average in kWh2023
Average electricity usage detached homesEnergy3,240Average in kWh2023
Average electricity usage owner-occupied homesEnergy910Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergy2%Percentage2024
% Homes with district heatingEnergy90%Percentage2024
% Natural gas-free homesEnergy680Average per m³2023
% Natural gas homesEnergy840Average per m³2023
Average natural gas usage apartmentEnergy960Average per m³2023
Average natural gas usage terraced homesEnergy1,020Average per m³2023
Average natural gas usage corner homesEnergy1,410Average per m³2023
Average natural gas usage semi-detached homesEnergy1,100Average per m³2023
Average natural gas usage detached homesEnergy720Average per m³2023
Average natural gas usage owner-occupied homesEnergy185Number2024
Average natural gas usage rental homesEnergy0Number2024
Businesses totalBusiness30Number2024
Businesses agriculture, forestry, fishingBusiness30Number2024
Businesses industry and energyBusiness5Number2024
Businesses trade and cateringBusiness5Number2024
Businesses transport, information, communicationBusiness40Number2024
Businesses financial services, real estateBusiness45Number2024
Businesses business servicesBusiness30Number2024
Government, education, careBusiness0.0%Percentage2024
Businesses culture, recreation, other servicesBusiness16%Percentage2024
% Businesses agriculture, forestry, fishingBusiness16%Percentage2024
% Businesses industry and energyBusiness2.7%Percentage2024
% Businesses trade and cateringBusiness2.7%Percentage2024
% Businesses transport, information, communicationBusiness22%Percentage2024
% Businesses financial services, real estateBusiness24%Percentage2024
% Businesses business servicesBusiness16%Percentage2024
% Government, education, careBusiness850Number2025
% Businesses culture, recreation, other servicesBusiness710Number2025
Passenger cars totalTransport140Number2025
Passenger cars petrolTransport1.12Number2025
Passenger cars other fuelTransport366Number2025
Passenger cars per householdTransport55Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport236Number of hectares2025
Public charging stationsTransport232Number of hectares2025
Surface totalRegional4Number of hectares2025
Surface landRegional666Number per km²2025
Surface waterRegional5Indicator 1-52025
Population densityRegional358Average number per km²2025
Address densityRegional39Number2025
Change in classification of neighborhoodsnan17Number2025
Crime totalCrime4Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime6Number2025
Crime environmentalCrime10Number2025
Crime scamCrime1Number2025
Crime trafficCrime1Number2025
Crime destructionCrime25Number per 1,000 inhabitants2025
Crime otherCrime11Number per 1,000 inhabitants2025
Crime theftCrime3Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime4Number per 1,000 inhabitants2025
Crime environmentalCrime6Number per 1,000 inhabitants2025
Crime scamCrime1Number per 1,000 inhabitants2025
Crime trafficCrime1Number per 1,000 inhabitants2025
Crime destructionCrime2Number2024
Crime otherCrime2Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents863Number2026
Traffic accidents deadlyTraffic accidents851Number2026
Addresses totalRegional776Number2026
Addresses with postal codeRegional12Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional6Number2026
Addresses with cell functionRegional6Number2026
Addresses with healthcare functionRegional15Number2026
Addresses with industrial functionRegional6Number2026
Addresses with office functionRegional3Number2026
Addresses with lodging functionRegional2Number2026
Addresses with educational functionRegional18Number2026
Addresses with sports functionRegional29Number2026
Addresses with retail functionRegional854Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional9Number2026
Berth locationsRegional639Number2026
Stand locationsRegional853Number2026
Buildings with addressRegional553Number2026
Addresses with buildingRegional863Number2026
Parcels with addressRegional850Number2026
Addresses with parcelRegional13Number2026
Addresses within built-up areaRegional771Number2026
Addresses outside built-up areaRegional5Number2026
Addresses with residential function within built-up areaRegional4Number2026
Addresses with residential function outside built-up areaRegional24Number2026
Buildings before 1700Regional54Number2026
Buildings 1700 to 1900Regional55Number2026
Buildings 1900 to 1925Regional259Number2026
Buildings 1925 to 1950Regional104Number2026
Buildings 1950 to 1970Regional75Number2026
Buildings 1970 to 1980Regional26Number2026
Buildings 1980 to 1990Regional19Number2026
Buildings 1990 to 2000Regional8Number2026
Buildings 2000 to 2010Regional11Number2026
Buildings 2010 to 2020Regional5Number2026
Buildings 2020 and laterRegional27Number2026
Buildings built before 1700Regional63Number2026
Buildings built from 1700 to 1900Regional64Number2026
Buildings built from 1900 to 1925Regional267Number2026
Buildings built from 1925 to 1950Regional147Number2026
Buildings built from 1950 to 1970Regional119Number2026
Buildings built from 1970 to 1980Regional57Number2026
Buildings built from 1980 to 1990Regional76Number2026
Buildings built from 1990 to 2000Regional17Number2026
Buildings built from 2000 to 2010Regional11Number2026
Buildings built from 2010 to 2020Regional61Number2026
Buildings built from 2020 onwardsRegional287Number2026
Undetermined energy labelEnergy consumption515Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption1Number2026
Energy label A+++++Energy consumption56Number2026
Energy label A++++Energy consumption7Number2026
Energy label A+++Energy consumption32Number2026
Energy label A++Energy consumption101Number2026
Energy label A+Energy consumption118Number2026
Energy label AEnergy consumption134Number2026
Energy label BEnergy consumption106Number2026
Energy label CEnergy consumption44Number2026
Energy label DEnergy consumption102Number2026
Energy label EEnergy consumption101Number2026
Energy label FEnergy consumption6365AE-6365CVName2026
nanType of house number range6365Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional0.6Average distance in km2024
Coverage percentage most common zipcodeRegional0.9Average number2024
Distance to general practitionerProximity3.3Average number2024
General practitioners within 1 kmProximity11Average number2024
General practitioners within 3 kmProximity7.3Average distance in km2024
General practitioners within 5 kmProximity3.1Average distance in km2024
Distance to general practitioner postProximity6.5Average distance in km2024
Pharmacy distanceProximity0.0Average number2024
Hospital with outpatient clinic distanceProximity2.0Average number2024
Hospitals with outpatient clinic within 5 kmProximity5.1Average number2024
Hospitals with outpatient clinic within 10 kmProximity6.5Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity1.0Average number2024
Hospitals within 5 kmProximity2.1Average number2024
Hospitals within 10 kmProximity0.5Average distance in km2024
Hospitals within 20 kmProximity1.0Average number2024
Large supermarket distanceProximity2.6Average number2024
Large supermarkets within 1 kmProximity14Average number2024
Large supermarkets within 3 kmProximity0.4Average distance in km2024
Large supermarkets within 5 kmProximity2.0Average number2024
Other daily groceries distanceProximity8.6Average number2024
Other daily groceries within 1 kmProximity35Average number2024
Other daily groceries within 3 kmProximity4.5Average distance in km2024
Other daily groceries within 5 kmProximity0.8Average number2024
Department store distanceProximity5.1Average number2024
Department stores within 5 kmProximity16Average number2024
Department stores within 10 kmProximity0.4Average distance in km2024
Department stores within 20 kmProximity1.6Average number2024
Cafe distanceProximity6.5Average number2024
Cafes within 1 kmProximity20Average number2024
Cafes within 3 kmProximity0.4Average distance in km2024
Cafes within 5 kmProximity1.9Average number2024
Snack bar distanceProximity8.2Average number2024
Snack bars within 1 kmProximity38Average number2024
Snack bars within 3 kmProximity0.5Average distance in km2024
Snack bars within 5 kmProximity2.6Average number2024
Restaurant distanceProximity9Average number2024
Restaurants within 1 kmProximity38Average number2024
Restaurants within 3 kmProximity3.3Average distance in km2024
Restaurants within 5 kmProximity2.8Average number2024
Hotel distanceProximity24Average number2024
Hotels within 5 kmProximity133Average number2024
Hotels within 10 kmProximity0.6Average distance in km2024
Hotels within 20 kmProximity0.9Average number2024
Daycare distanceProximity5.2Average number2024
Daycares within 1 kmProximity20Average number2024
Daycares within 3 kmProximity0.7Average distance in km2024
Daycares within 5 kmProximity0.9Average number2024
After-school care distanceProximity3.3Average number2024
After-school care within 1 kmProximity14Average number2024
After-school care within 3 kmProximity0.7Average distance in km2024
After-school care within 5 kmProximity0.9Average number2024
Primary education distanceProximity3.3Average number2024
Primary education within 1 kmProximity13Average number2024
Primary education within 3 kmProximity3.6Average distance in km2024
Primary education within 5 kmProximity0.1Average number2024
Secondary education total distanceProximity2.7Average number2024
Secondary education total within 3 kmProximity16Average number2024
Secondary education total within 5 kmProximity4.6Average distance in km2024
Secondary education total within 10 kmProximity0.0Average number2024
Secondary education VMBO distanceProximity0.8Average number2024
Secondary education VMBO within 3 kmProximity11Average number2024
Secondary education VMBO within 5 kmProximity3.6Average distance in km2024
Secondary education VMBO within 10 kmProximity0.1Average number2024
Secondary education HAVO VWO distanceProximity1.8Average number2024
Secondary education HAVO VWO within 3 kmProximity6.8Average number2024
Secondary education HAVO VWO within 5 kmProximity0.2Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity0.4Average distance in km2017
Public green space total distanceProximity3.9Average distance in km2017
Park or garden distanceProximity0.3Average distance in km2017
Day recreational area distanceProximity2.0Average distance in km2017
Forest distanceProximity2.0Average distance in km2017
Open natural area total distanceProximity7.2Average distance in km2017
Open dry natural area distanceProximity0.8Average distance in km2017
Open wet natural area distanceProximity1.1Average distance in km2017
Semi-public green space total distanceProximity3.8Average distance in km2017
Sports field distanceProximity0.8Average distance in km2017
Allotment garden distanceProximity3.3Average distance in km2017
Residential recreational area distanceProximity4.0Average distance in km2017
Cemetery distanceProximity2.4Average distance in km2024
Recreational inland water distanceProximity1.2Average distance in km2024
Main road access distanceProximity8.4Average distance in km2024
Train station distanceProximity3.3Average distance in km2024
Major transfer station distanceProximity5.4Average distance in km2024
Library distanceProximity5.9Average distance in km2024
Swimming pool distanceProximity7.9Average distance in km2024
Artificial ice rink distanceProximity0.0Average number2024
Performing arts distanceProximity2.0Average number2024
Performing arts within 5 kmProximity7.1Average number2024
Performing arts within 10 kmProximity8Average distance in km2024
Performing arts within 20 kmProximity7.3Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity3.2Average number2024
Cinemas within 5 kmProximity7.7Average number2024
Cinemas within 10 kmProximity8Average distance in km2024
Cinemas within 20 kmProximity2.7Average distance in km2024
Sauna distanceProximity5.3Average distance in km2024
Tanning salon distanceProximity0.1Average number2024
Museum distanceProximity2.9Average number2024
Museums within 5 kmProximity14Average number2024
Museums within 10 kmProximity8.2Average distance in km2024
Museums within 20 kmProximity2.0Average number2024
Attraction distanceProximity11Average number2024
Attractions within 10 kmProximity18Average number2024
Attractions within 20 kmProximity0.6Average 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 January 15th, 2026. The rows are sorted by category and subject.

Table usage:

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  • 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