Statistics neighbourhood Schin op Geul

Statistics neighbourhood Schin op Geul

Check out data on over 250 topics about the neighbourhood Schin op Geul in municipality Valkenburg aan de Geul. 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 Schin op Geul in municipality Valkenburg aan de Geul. 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 Schin op Geul on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Schin op Geul has 680 inhabitants in 2024.








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


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

JaarPopulation Neighbourhood Schin op Geul% difference
20246801,49%
2023670-2,90%
2022690-1,43%
2021700-1,41%
20207102,16%
2019695-3,47%
2018720-0,69%
20177250%
20167251,83%
2015712-3,52%
2014738-0,94%
2013745geen data

Het number of inhabitants in the neighbourhood Schin op Geul has changed with 65 inhabitants from 745 inhabitants in 2013 to 680 inhabitants in 2024 (that is a change of 8,7%). The average difference per year over the entire period from 2013 to 2024 was -6 inhabitants (-0,81%). The development of the data over time follows a slightly decreasing trend: The numbers decrease 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 Schin op Geul
Image of the neighbourhood Schin op Geul 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 Schin op Geul (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 Schin op Geul - Oud-Valkenburg with the population per neighbourhood in 2024. The numbers at the map represent the following neighbourhoods: 1: De Kluis, 2: Oud-Valkenburg, 3: Schin op Geul, 4: Strucht, 5: Schoonbron, 6: Keutenberg - Sousberg, 7: Gerendal

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House characteristics
There are 341 houses in de buurt Schin op Geul.
Information about the homes in this region based on open data from the Dutch Central Bureau of Statistics. Overview image with 4 pie charts.

Percentages of home ownership, occupation, type and construction period.

View the explanation for the definitions of the home characteristics.
Definitions of the characteristics of the dwellings in the neighbourhood Schin op Geul:

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 Schin op Geul
The average property value in The neighbourhood Schin op Geul was €322.000 in 2023.








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The chart above shows the average WOZ property value per year in the neighbourhood Schin op Geul.


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

JaarAverage property value Neighbourhood Schin op Geul% difference
2023€322.00015%
2022€281.0003,69%
2021€271.00013%
2020€240.0004,80%
2019€229.0006%
2018€216.0002,86%
2017€210.000-0,47%
2016€211.0000,48%
2015€210.000-3,67%
2014€218.000-5,6%
2013€231.000geen data

The average property value in the neighbourhood Schin op Geul has changed with €91.000 from €231.000 in 2013 to €322.000 in 2023 (that is a change of 39%). The average difference per year over the entire period from 2013 to 2023 was €9.100 (3,56%). The development of the data over time follows a slightly increasing trend: The numbers increase 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).
Energy labels
The most common energy labels in Neighbourhood Schin op Geul are C (128 addresses) and G (51 addresses).








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The chart above shows the number of addresses per type of energy label in the neighbourhood Schin op Geul. 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 1 July 2024.

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 Schin op Geul: 128 addresses have energy label C. The download with detailed information for the municipality Valkenburg aan de Geul 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 3 traffic accidents in total in Neighbourhood Schin op Geul in 2023.








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The above graph shows the development of the number of traffic accidents in the neighbourhood Schin op Geul. Use the filter above the graph to choose the display of the number of traffic accidents by the outcome of the accident.

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

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 Schin op Geul. 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 16 December 2024.

Total recorded crime per month or per year
In 2023 a total of 9 crimes were registered in Neighbourhood Schin op Geul.








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Total number of registered crimes in the neighbourhood Schin op Geul, from 2012 to 2023 inclusive (when displaying the data per year) or June 2023 to November 2024 (when displaying the data per month).

In the neighbourhood Schin op Geul a total of 272 crimes have been registered from 2012 to 2023. These crimes are classified into 21 different types of crime. In 2023 the police recorded 9 crimes in the neighbourhood Schin op Geul. 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 Schin op Geul in 2023 are Accidents (road) (2 crimes) en Vandalism or property damage (2 crimes).








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Number of crimes for the 6 types of crimes as registered in 2023 in the neighbourhood Schin op Geul.

Crime definitions (Dutch)
Total crime per month
In November 2024 one crime was registered in Neighbourhood Schin op Geul.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Schin op Geul 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 Schin op Geul 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 Valkenburg aan de Geul.

Crimes per 1,000 inhabitants
There were 4.41 crimes per 1,000 inhabitants of the type ‘oplichting’ in 2023 in Neighbourhood Schin op Geul.








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Crime: number of crimes per 1,000 inhabitants in 2023 in the neighbourhood Schin op Geul.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood Schin op Geul. 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.

Advertentie:

Births per 1,000 inhabitants
15 babies per 1,000 inhabitants were born in 2023 in Neighbourhood Schin op Geul.








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

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 Schin op Geul. 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
10 people per 1,000 inhabitants died in 2023 in Neighbourhood Schin op Geul.








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

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 codeRegionalBU09940200Code2024
Region nameRegionalSchin op GeulName2024
Region typeRegionalBuurtCategorical type2024
Sort codeRegional09940200Code2024
InhabitantsPopulation680Number2024
MenPopulation325Number2024
WomenPopulation345Number2024
Ages 0 - 15Population90Number2024
Ages 15 - 25Population40Number2024
Ages 25 - 45Population120Number2024
Ages 45 - 65Population210Number2024
Ages 65 and upPopulation225Number2024
Not marriedPopulation215Number2024
MarriedPopulation335Number2024
DivorcedPopulation75Number2024
WidowedPopulation50Number2024
Origin NetherlandsMigration600Number2024
Origin outside NetherlandsMigration80Number2024
Origin EuropeMigration50Number2024
Origin outside EuropeMigration30Number2024
Born in NetherlandsMigration600Number2024
Born in Netherlands origin EuropeMigration35Number2024
Born in Netherlands origin outside EuropeMigration15Number2024
Born outside Netherlands origin EuropeMigration15Number2024
Born outside Netherlands origin outside EuropeMigration15Number2024
Native DutchMigration610Number2022
Western totalMigration60Number2022
Non-western totalMigration20Number2022
MoroccoMigration0Number2022
Dutch Antilles and ArubaMigration0Number2022
SurinameMigration0Number2022
TurkeyMigration0Number2022
Other non-westernMigration20Number2022
Births totalPopulation10Number2023
Births relativePopulation15Number per 1000 inhabitants2023
Mortality totalPopulation10Number2023
Mortality relativePopulation10Number per 1000 inhabitants2023
Households totalHouseholds320Number2024
Single-person householdsHouseholds100Number2024
Households without childrenHouseholds125Number2024
Households with childrenHouseholds90Number2024
Average household sizeHouseholds2.10Average number2024
Population densityRegional1,015Number per km²2024
Housing stockHouses341Number2023
Average house valueHouses€322,000Average number2023
Percentage single-family housesHouses84%Percentage2023
Percentage multi-family housesHouses16%Percentage2023
Percentage inhabitedHouses93%Percentage2023
Percentage uninhabitedHouses7%Percentage2023
Percentage privately owned homesHouses74%Percentage2023
Percentage rented homesHouses26%Percentage2023
Percentage rental-housing by corporationHouses19%Percentage2023
Percentage homes other rentalHouses7%Percentage2023
Ownership unknownHouses0%Percentage2023
Percentage homes built before 2000Houses97%Percentage2023
Percentage homes built since 2000Houses3%Percentage2023
Average electricity usage totalEnergy consumption2,740Average number per km²2023
Average electricity usage apartmentEnergy consumption2,290Average number per km²2023
Average electricity usage terraced homesEnergy consumption2,340Average number per km²2023
Average electricity usage corner homesEnergy consumption2,610Average number per km²2023
Average electricity usage semi-detached homesEnergy consumption2,850Average number per km²2023
Average electricity usage detached homesEnergy consumption3,180Average number per km²2023
Average electricity usage rental homesEnergy consumption1,860Average number per km²2023
Average electricity usage owner-occupied homesEnergy consumption3,030Average number per km²2023
Average natural gas usage totalEnergy consumption1,040Average in kWh2023
Average natural gas usage apartmentEnergy consumption870Average in kWh2023
Average natural gas usage terraced homesEnergy consumption800Average in kWh2023
Average natural gas usage corner homesEnergy consumption880Average in kWh2023
Average natural gas usage semi-detached homesEnergy consumption1,060Average in kWh2023
Average natural gas usage detached homesEnergy consumption1,330Average in kWh2023
Average natural gas usage rental homesEnergy consumption780Average in kWh2023
Average natural gas usage owner-occupied homesEnergy consumption1,130Average in kWh2023
Percentage homes with district heatingEnergy consumption0%Percentage2014
Education level lowPopulation90Number2022
Education level mediumPopulation210Number2022
Education level highPopulation200Number2022
Net labor participationIncome64%Percentage2022
Percentage employeesIncome84%Percentage2022
Percentage self-employedIncome16%Percentage2022
Number of income receiversIncome600Number2022
Average income per income recipientIncome€34,100Average number2021
Average income per inhabitantIncome€29,800Average number2021
40 percentile persons with lowest incomeIncome41%Percentage2022
20 percentile persons with highest incomeIncome17%Percentage2022
Active persons 15-75 yearsIncome34%Percentage2021
40 percentile households with lowest incomeIncome34%Percentage2022
20 percentile households with highest incomeIncome20%Percentage2022
Percentage households with a low incomeIncome3.80%Percentage2022
Percentage households at social minimumIncome4.10%Percentage2022
Households up to 110% of the social minimumIncome6.9%Percentage2022
Households up to 120% of the social minimumIncome9.1%Percentage2022
Median capital assets of private householdsIncome€244x 1,000 Euro2022
Persons with social security welfareIncome10Number2023
Persons with social security for incapacity for workIncome30Number2023
Persons with social security for unemployedIncome10Number2023
Persons with social security for elderlyIncome200Number2023
Young people with youth care in kindPopulation10Number2022
Percentage young people with youth carePopulation7.6%Percentage2022
WMO clientsPopulation40Number2022
WMO clients relativePopulation58Number per 1000 inhabitants2022
Businesses totalBusiness70Number2023
Businesses agriculture, forestry, fishingBusiness0Number2023
Businesses industry and energyBusiness5Number2023
Businesses trade and cateringBusiness20Number2023
Businesses transport, information, communicationBusiness5Number2023
Businesses financial services, real estateBusiness0Number2023
Businesses business servicesBusiness15Number2023
Government, education, careBusiness10Number2023
Businesses culture, recreation, other servicesBusiness10Number2023
Passenger cars totalTransport465Number2024
Passenger cars petrolTransport400Number2024
Passenger cars other fuelTransport65Number2024
Passenger cars per householdTransport1.45Number2024
Passenger cars per surfaceRegional694Number2024
MotorcyclesTransport35Number2024
Surface totalRegional69Number of hectares2024
Surface landRegional67Number of hectares2024
Surface waterRegional2Number of hectares2024
Degree of urbanizationRegional5Indicator 1-52024
Address densityRegional309Average distance in km2024
Addresses totalRegional383Number2024
Addresses with postal codeRegional375Number2024
Addresses with residential functionRegional342Number2024
Addresses with meeting functionRegional10Number2024
Addresses with cell functionRegional0Number2024
Addresses with healthcare functionRegional2Number2024
Addresses with industrial functionRegional0Number2024
Addresses with office functionRegional0Number2024
Addresses with lodging functionRegional19Number2024
Addresses with educational functionRegional2Number2024
Addresses with sports functionRegional1Number2024
Addresses with retail functionRegional6Number2024
Addresses with other usage functionRegional9Number2024
Residential objectsRegional383Number2024
Berth locationsRegional0Number2024
Stand locationsRegional0Number2024
Buildings with addressRegional324Number2024
Addresses with buildingRegional382Number2024
Parcels with addressRegional281Number2024
Addresses with parcelRegional383Number2024
Addresses within built-up areaRegional371Number2024
Addresses outside built-up areaRegional12Number2024
Addresses with residential function within built-up areaRegional333Number2024
Addresses with residential function outside built-up areaRegional9Number2024
Buildings before 1700Regional1Number2024
Buildings 1700 to 1900Regional17Number2024
Buildings 1900 to 1925Regional17Number2024
Buildings 1925 to 1950Regional25Number2024
Buildings 1950 to 1970Regional59Number2024
Buildings 1970 to 1980Regional141Number2024
Buildings 1980 to 1990Regional51Number2024
Buildings 1990 to 2000Regional9Number2024
Buildings 2000 to 2010Regional3Number2024
Buildings 2010 to 2020Regional1Number2024
Buildings 2020 and laterRegional0Number2024
Buildings built before 1700Regional6Number2024
Buildings built from 1700 to 1900Regional22Number2024
Buildings built from 1900 to 1925Regional22Number2024
Buildings built from 1925 to 1950Regional35Number2024
Buildings built from 1950 to 1970Regional65Number2024
Buildings built from 1970 to 1980Regional147Number2024
Buildings built from 1980 to 1990Regional64Number2024
Buildings built from 1990 to 2000Regional9Number2024
Buildings built from 2000 to 2010Regional11Number2024
Buildings built from 2010 to 2020Regional1Number2024
Buildings built from 2020 onwardsRegional0Number2024
Undetermined energy labelEnergy consumption35Number2024
Provisional energy labelEnergy consumption143Number2024
Final energy labelsEnergy consumption205Number2024
Energy label A+++++Energy consumption0Number2024
Energy label A++++Energy consumption0Number2024
Energy label A+++Energy consumption0Number2024
Energy label A++Energy consumption0Number2024
Energy label A+Energy consumption5Number2024
Energy label AEnergy consumption44Number2024
Energy label BEnergy consumption42Number2024
Energy label CEnergy consumption128Number2024
Energy label DEnergy consumption31Number2024
Energy label EEnergy consumption15Number2024
Energy label FEnergy consumption32Number2024
Energy label GEnergy consumption51Number2024
Apartment dwelling typeHouses40Number2024
Terraced or linked dwelling typeHouses75Number2024
Corner dwelling typeHouses48Number2024
Semi-detached dwelling typeHouses72Number2024
Detached dwelling typeHouses107Number2024
Different dwelling typeHouses0Number2024
Unknown dwelling typeHouses0Number2024
Not applicable dwelling typeHouses41Number2024
Zipcode areaRegional6305AR-6305PMName2024
Most common zipcodeRegional6305Name2024
Coverage percentage most common zipcodeRegional100%Percentage2024
Crime theftCrime1Number2023
Crime violence and sexual abuseCrime0Number2023
Crime environmentalCrime0Number2023
Crime scamCrime3Number2023
Crime trafficCrime2Number2023
Crime destructionCrime2Number2023
Crime otherCrime1Number2023
Crime totalCrime9Number2023
Traffic accidents deadlyTraffic accidents0Number2023
Traffic accidents injuriesTraffic accidents0Number2023
Traffic accidents only material damageTraffic accidents3Number2023
Traffic accidents totalTraffic accidents3Number2023
Distance to general practitionerProximity3.10Average in Euro2023
General practitioners within 1 kmProximity0Average number2023
General practitioners within 3 kmProximity0Average number2023
General practitioners within 5 kmProximity5Average number2023
Distance to general practitioner postProximity9.80Average in Euro2023
Pharmacy distanceProximity4.10Average in Euro2023
Hospital with outpatient clinic distanceProximity9.80Average in Euro2023
Hospitals with outpatient clinic within 5 kmProximity0Average number2023
Hospitals with outpatient clinic within 10 kmProximity1Average number2023
Hospitals with outpatient clinic within 20 kmProximity8Average number2023
Hospital distanceProximity9.80Average in Euro2023
Hospitals within 5 kmProximity0Average number2023
Hospitals within 10 kmProximity1Average number2023
Hospitals within 20 kmProximity3Average number2023
Large supermarket distanceProximity3.20Average in Euro2023
Large supermarkets within 1 kmProximity0Average number2023
Large supermarkets within 3 kmProximity0Average number2023
Large supermarkets within 5 kmProximity5Average number2023
Other daily groceries distanceProximity0.40Average in Euro2023
Other daily groceries within 1 kmProximity2Average number2023
Other daily groceries within 3 kmProximity2Average number2023
Other daily groceries within 5 kmProximity17Average number2023
Department store distanceProximity4.00Average in Euro2023
Department stores within 5 kmProximity1Average number2023
Department stores within 10 kmProximity4Average number2023
Department stores within 20 kmProximity18Average number2023
Cafe distanceProximity0.80Average in Euro2023
Cafes within 1 kmProximity1Average number2023
Cafes within 3 kmProximity3Average number2023
Cafes within 5 kmProximity20Average number2023
Snack bar distanceProximity2.10Average in Euro2022
Snack bars within 1 kmProximity0Average number2022
Snack bars within 3 kmProximity2Average number2022
Snack bars within 5 kmProximity24Average number2022
Restaurant distanceProximity0.20Average in Euro2023
Restaurants within 1 kmProximity6Average number2023
Restaurants within 3 kmProximity8Average number2023
Restaurants within 5 kmProximity81Average number2023
Hotel distanceProximity0Average number2022
Hotels within 5 kmProximity51.70Average in Euro2022
Hotels within 10 kmProximity90Average number2022
Hotels within 20 kmProximity216Average number2022
Daycare distanceProximity2.30Average in Euro2023
Daycares within 1 kmProximity0Average number2023
Daycares within 3 kmProximity3Average number2023
Daycares within 5 kmProximity6Average number2023
After-school care distanceProximity2.70Average in Euro2023
After-school care within 1 kmProximity0Average number2023
After-school care within 3 kmProximity1Average number2023
After-school care within 5 kmProximity3Average number2023
Primary education distanceProximity2.40Average in Euro2023
Primary education within 1 kmProximity0Average number2023
Primary education within 3 kmProximity2Average number2023
Primary education within 5 kmProximity5Average number2023
Secondary education total distanceProximity5.70Average in Euro2023
Secondary education total within 3 kmProximity0Average number2023
Secondary education total within 5 kmProximity0Average number2023
Secondary education total within 10 kmProximity6Average number2023
Secondary education VMBO distanceProximity5.70Average in Euro2023
Secondary education VMBO within 3 kmProximity0Average number2023
Secondary education VMBO within 5 kmProximity0Average number2023
Secondary education VMBO within 10 kmProximity4Average number2023
Secondary education HAVO VWO distanceProximity5.70Average in Euro2023
Secondary education HAVO VWO within 3 kmProximity0Average number2023
Secondary education HAVO VWO within 5 kmProximity0Average number2023
Secondary education HAVO VWO within 10 kmProximity6Average number2023
Public green space total distanceProximity0.60Average in Euro2017
Park or garden distanceProximity2.70Average in Euro2017
Day recreational area distanceProximity2.50Average in Euro2017
Forest distanceProximity0.60Average in Euro2017
Open natural area total distanceProximity5.80Average in Euro2017
Open dry natural area distanceProximity5.90Average in Euro2017
Open wet natural area distanceProximity5.80Average in Euro2017
Semi-public green space total distanceProximity0.30Average in Euro2017
Sports field distanceProximity0.30Average in Euro2017
Allotment garden distanceProximity10.50Average in Euro2017
Residential recreational area distanceProximity0.50Average in Euro2017
Cemetery distanceProximity4.00Average in Euro2017
Recreational inland water distanceProximity5.60Average in Euro2017
Main road access distanceProximity0.30Average in Euro2023
Train station distanceProximity0.60Average in Euro2023
Major transfer station distanceProximity9.90Average in Euro2023
Library distanceProximity2.40Average in Euro2023
Swimming pool distanceProximity4.40Average in Euro2023
Artificial ice rink distanceProximity15.50Average in Euro2023
Museum distanceProximity3.60Average in Euro2023
Museums within 5 kmProximity4Average number2023
Museums within 10 kmProximity7Average number2023
Museums within 20 kmProximity17Average number2023
Performing arts distanceProximity4.30Average in Euro2023
Performing arts within 5 kmProximity1Average number2023
Performing arts within 10 kmProximity3Average number2023
Performing arts within 20 kmProximity7Average number2023
Pop venue distanceProximity10Average number2023
Cinema distanceProximity9.70Average in Euro2023
Cinemas within 5 kmProximity0Average number2023
Cinemas within 10 kmProximity2Average number2023
Cinemas within 20 kmProximity6Average number2023
Sauna distanceProximity5Average number2023
Tanning salon distanceProximity4Average number2023
Attraction distanceProximity0.80Average in Euro2023
Attractions within 10 kmProximity3Average number2023
Attractions within 20 kmProximity10Average number2023
Attractions within 50 kmProximity16Average number2023
Fire station distanceProximity4Average number2023

Table with more than 250 topics for the neighbourhood Schin op Geul.

The table below shows the latest available data for the neighbourhood Schin op Geul for over 250 topics! 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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  • On small screens: Scroll the table horizontally to see all columns (the first column remains fixed in view).
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