Statistics neighbourhood Op de Nobel

Statistics neighbourhood Op de Nobel

Check out data on over 250 topics about the neighbourhood Op de Nobel in municipality Heerlen. 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 Op de Nobel in municipality Heerlen. 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 Op de Nobel on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Op de Nobel has 1.845 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 Op de Nobel.


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

JaarPopulation Neighbourhood Op de Nobel% difference
20251.845-0,75%
20241.8591,92%
20231.8242,07%
20221.7872,29%
20211.747-1,13%
20201.7672,97%
20191.7161,72%
20181.687-1,06%
20171.705-0,47%
20161.7130,71%
20151.701-0,64%
20141.7121,72%
20131.683geen data

Het number of inhabitants in the neighbourhood Op de Nobel has changed with 162 inhabitants from 1.683 inhabitants in 2013 to 1.845 inhabitants in 2025 (that is a change of 9,6%). The average difference per year over the entire period from 2013 to 2025 was 14 inhabitants (0,78%).

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 Op de Nobel
Map of the surroundings of the neighbourhood Op de Nobel.
Image of the neighbourhood Op de Nobel 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 Op de Nobel (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 Heerlen-Centrum with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Heerlen-Centrum, 2: ’t Loon, 3: Op de Nobel, 4: Lindeveld.

Regional overview

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House characteristics
There are 1,288 houses in de buurt Op de Nobel.
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 Op de Nobel:

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 Op de Nobel
The average property value in The neighbourhood Op de Nobel was €211.962 in 2023.

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The chart above shows the average WOZ property value per year in the neighbourhood Op de Nobel.


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

JaarAverage property value Neighbourhood Op de Nobel% difference
2025€182.000-11%
2024€203.844-3,83%
2023€211.96217%
2022€181.3465,5%
2021€171.9055,2%
2020€163.3779,1%
2019€149.73011%
2018€135.1411,32%
2017€133.3773,0%
2016€129.4951,03%
2015€128.171-2,7%
2014€131.730-3,97%
2013€137.171geen data

The average property value in the neighbourhood Op de Nobel has changed with €44.829 from €137.171 in 2013 to €182.000 in 2025 (that is a change of 33%). The average difference per year over the entire period from 2013 to 2025 was €3.736 (2,64%). The development of the data over time follows a slightly increasing trend: The numbers grow more often than not.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Types of dwellings
% Inhabited is most common in Neighbourhood Op de Nobel: there are 1,227 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 Op de Nobel.

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 Op de Nobel are C (282 addresses) and A (244 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood Op de Nobel. 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 Op de Nobel: 282 addresses have energy label C. The download with detailed information for the municipality Heerlen 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 10 traffic accidents in total in Neighbourhood Op de Nobel in 2024.

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The above graph shows the development of the number of traffic accidents in the neighbourhood Op de Nobel. 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 Op de Nobel in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total10
Material damage10
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 Op de Nobel.

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 Op de Nobel. 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 115 crimes were registered in Neighbourhood Op de Nobel.
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Total number of registered crimes in the neighbourhood Op de Nobel, 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 Op de Nobel a total of 2,000 crimes have been registered from 2012 to 2025. These crimes are classified into 35 different types of crime. In 2025 the police recorded 115 crimes in the neighbourhood Op de Nobel. 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 Op de Nobel in 2025 are Theft of mopeds, scooters, bicycles (16 crimes) en Horizontal fraud (13 crimes).
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Number of crimes for the ten most common types of crimes, 2025, neighbourhood Op de Nobel.

Crime definitions (Dutch)
Total crime per month
In December 2025 a total of 5 crimes were registered in Neighbourhood Op de Nobel.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Op de Nobel 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 Op de Nobel 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 Heerlen.

Crimes per 1,000 inhabitants
There were 21 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Neighbourhood Op de Nobel.
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Crime: number of crimes per 1,000 inhabitants in 2025 in the neighbourhood Op de Nobel.

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

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 Op de Nobel. 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
13 people per 1,000 inhabitants died in 2024 in Neighbourhood Op de Nobel.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the neighbourhood Op de Nobel.

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 codeRegionalBU09173301Code2025
Region nameRegionalOp de NobelName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional09173301Code2025
InhabitantsPopulation1,845Number2025
MenPopulation895Number2025
WomenPopulation950Number2025
Ages 0 - 15Population130Number2025
Ages 15 - 25Population355Number2025
Ages 25 - 45Population530Number2025
Ages 45 - 65Population340Number2025
Ages 65 and upPopulation490Number2025
Not marriedPopulation1,055Number2025
MarriedPopulation415Number2025
DivorcedPopulation230Number2025
WidowedPopulation145Number2025
% MenPopulation49%Percentage2025
% WomenPopulation51%Percentage2025
% Ages 0 - 15Population7%Percentage2025
% Ages 15 - 25Population19%Percentage2025
% Ages 25 - 45Population29%Percentage2025
% Ages 45 - 65Population18%Percentage2025
% Ages 65 and upPopulation27%Percentage2025
% Not marriedPopulation57%Percentage2025
% MarriedPopulation22%Percentage2025
% DivorcedPopulation12%Percentage2025
% WidowedPopulation7.9%Percentage2025
Births totalPopulation9Number2024
Births relativePopulation7Number per 1,000 inhabitants2024
Mortality totalPopulation22Number2024
Mortality relativePopulation13Number per 1,000 inhabitants2024
Origin NetherlandsMigration1,145Number2025
Origin outside NetherlandsMigration700Number2025
Origin EuropeMigration325Number2025
Origin outside EuropeMigration375Number2025
% Origin NetherlandsMigration62%Percentage2025
% Origin outside NetherlandsMigration38%Percentage2025
% Origin EuropeMigration18%Percentage2025
% Origin outside EuropeMigration20%Percentage2025
Born in Netherlands origin NetherlandsMigration1,150Number2025
Born in Netherlands origin EuropeMigration135Number2025
Born in Netherlands origin outside EuropeMigration100Number2025
Born in NetherlandsMigration235Number2025
Born in NetherlandsMigration1,385Number2025
Born outside Netherlands origin EuropeMigration190Number2025
Born outside Netherlands origin outside EuropeMigration270Number2025
Born outside NetherlandsMigration460Number2025
% Born in Netherlands origin NetherlandsMigration62%Percentage2025
% Born in Netherlands origin EuropeMigration7.3%Percentage2025
% Born in Netherlands origin outside EuropeMigration13%Percentage2025
% Born in NetherlandsMigration5.4%Percentage2025
% Born in NetherlandsMigration75%Percentage2025
% Born outside Netherlands origin EuropeMigration10%Percentage2025
% Born outside Netherlands origin outside EuropeMigration15%Percentage2025
% Born outside NetherlandsMigration25%Percentage2025
Native DutchMigration1,210Number2022
Western totalMigration361Number2022
Non-western totalMigration216Number2022
Dutch Antilles and ArubaMigration28Number2022
MoroccoMigration19Number2022
SurinameMigration15Number2022
TurkeyMigration16Number2022
Other non-westernMigration141Number2022
Primary school pupils Education69Number2024
Secondary school pupils Education57Number2024
Secondary vocational education students (MBO) Education52Number2024
Higher professional education students (HBO) Education82Number2024
University students (WO) Education44Number2024
Practical education level Education327Number2023
Intermediate education level Education581Number2023
Theoretical education level Education496Number2023
% Practical education level Education23%Percentage2023
% Intermediate education level Education41%Percentage2023
% Theoretical education level Education35%Percentage2023
Households Households1,290Number2025
Single-person households Households925Number2025
Multi-person households Households365Number2025
Multi-person households without children Households230Number2025
Multi-person households with children Households130Number2025
% Single-person households Households72%Percentage2025
% Multi-person households Households28%Percentage2025
% Multi-person households without children Households18%Percentage2025
% Multi-person households with children Households10%Percentage2025
Average household size Households1.4Average number2025
Employed labour force Income856Number2023
Net labor participationIncome64%Percentage2023
% EmployeesIncome86%Percentage2023
% Employees with permanent contractsIncome48%Percentage2023
% Employees with flexible contractsIncome38%Percentage2023
% Self-employedIncome14%Percentage2023
Income receivers per 1,000 inhabitantsIncome1,647Number2024
Income receiversIncome886Number per 1,000 inhabitants2024
Average income per income recipientIncome€14,349Average in euro2024
Average income per inhabitantIncome€13,564Average in euro2024
40% persons with lowest incomeIncome43%Percentage2024
20% persons with highest incomeIncome16%Percentage2024
% persons Income7.2%Percentage2024
% persons Income11%Percentage2024
Average standardized household incomeIncome€31,570euro2023
40% households with lowest incomeIncome63%Percentage2024
20% households with highest incomeIncome10%Percentage2024
Households with a low incomeIncome6.2%Percentage2023
% Households at social minimumIncome9.7%Percentage2023
Households up to 110% of the social minimumIncome15%Percentage2023
Households up to 120% of the social minimumIncome20%Percentage2023
Median capital assets of private householdsIncome€14,629euro2024
Persons with social security welfareIncome71Number2024
Persons with social security for incapacity for workIncome106Number2024
Persons with social security for unemployedIncome23Number2024
Persons with social security for elderlyIncome487Number2024
Persons with social security welfareIncome4%Percentage2024
Persons with social security for incapacity for workIncome6%Percentage2024
Persons with social security for unemployedIncome1%Percentage2024
Persons with social security for elderlyIncome26%Percentage2024
Young people with youth care in kindPopulation22Number2024
% Young people with youth carePopulation5.9%Percentage2024
Wmo clientsPopulation162Number2024
Wmo clients relativePopulation88Number per 1,000 inhabitants2024
Housing stockHouses1,288Number2025
Houses per 1,000 inhabitantsHouses698Number per 1,000 inhabitants2025
Newly built dwellingsHouses25Number2024
Non-dwelling stockHouses127Number2025
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€182,000Average in euro2025
House value classHouses€150.000 tot €200.000Categorical type2025
nannan296Number2025
nannan992Number2025
Privately owned homesHouses335Number2025
Rented homesHouses953Number2025
Rental-housing by corporationHouses386Number2025
Homes other rentalHouses567Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses1,159Number2025
Multi-family housesHouses129Number2025
InhabitedHouses26%Percentage2025
UninhabitedHouses74%Percentage2025
% Privately owned homesHouses30%Percentage2025
% Rented homesHouses44%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses23%Percentage2025
% Ownership unknownHouses77%Percentage2025
% Single-family housesHouses90%Percentage2025
% Multi-family housesHouses10%Percentage2025
% InhabitedHouses1,227Number2026
% UninhabitedHouses233Number2026
ApartmentsHouses73Number2026
Terraced housesHouses11Number2026
Corner dwelling typeHouses8Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses79%Percentage2026
Unknown dwelling typeHouses15%Percentage2026
% Apartment dwelling typeHouses5%Percentage2026
% Terraced or linked dwelling typeHouses1.0%Percentage2026
% Corner dwelling typeHouses1.0%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses318Number2026
% Unknown dwelling typeHouses445Number2026
Dwellings built before 1945Houses25Number2026
Dwellings built from 1945 to 1965Houses524Number2026
Dwellings built from 1965 to 1975Houses5Number2026
Dwellings built from 1975 to 1985Houses16Number2026
Dwellings built from 1985 to 1995Houses12Number2026
Dwellings built from 1995 to 2005Houses206Number2026
Dwellings built from 2005 to 2015Houses0Number2026
Dwellings built from 2015 to 2025Houses1Number2026
Dwellings built from 2025 onwardsHouses20%Percentage2026
Dwellings unknown year of builtHouses29%Percentage2026
% Dwellings built before 1945Houses2.0%Percentage2026
% Dwellings built from 1945 to 1965Houses34%Percentage2026
% Dwellings built from 1965 to 1975Houses0.0%Percentage2026
% Dwellings built from 1975 to 1985Houses1.0%Percentage2026
% Dwellings built from 1985 to 1995Houses1.0%Percentage2026
% Dwellings built from 1995 to 2005Houses13%Percentage2026
% Dwellings built from 2005 to 2015Houses0.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses2,048Average in kWh2024
% Dwellings unknown year of builtHouses196Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy2%Percentage2024
% Homes with solar powerEnergy1,781Average in kWh2023
% Homes primarily heated by electricityEnergy2,653Average in kWh2023
Average electricity usage apartmentEnergy2,801Average in kWh2023
Average electricity usage terraced homesEnergy869Average in kWh2023
Average electricity usage corner homesEnergyno dataAverage in kWhno data
Average electricity usage semi-detached homesEnergy1,802Average in kWh2023
Average electricity usage detached homesEnergy2,458Average in kWh2023
Average electricity usage owner-occupied homesEnergy721Average per m³2024
Average electricity usage rental homesEnergy15%Percentage2024
Average natural gas usage totalEnergy13%Percentage2024
% Homes with district heatingEnergy79%Percentage2024
% Natural gas-free homesEnergy603Average per m³2023
% Natural gas homesEnergy1,202Average per m³2023
Average natural gas usage apartmentEnergy1,509Average per m³2023
Average natural gas usage terraced homesEnergy631Average per m³2023
Average natural gas usage corner homesEnergyno dataAverage per m³no data
Average natural gas usage semi-detached homesEnergy897Average per m³2023
Average natural gas usage detached homesEnergy632Average per m³2023
Average natural gas usage owner-occupied homesEnergy386Number2024
Average natural gas usage rental homesEnergy0Number2024
Businesses totalBusiness25Number2024
Businesses agriculture, forestry, fishingBusiness106Number2024
Businesses industry and energyBusiness9Number2024
Businesses trade and cateringBusiness37Number2024
Businesses transport, information, communicationBusiness97Number2024
Businesses financial services, real estateBusiness66Number2024
Businesses business servicesBusiness41Number2024
Government, education, careBusiness0.0%Percentage2024
Businesses culture, recreation, other servicesBusiness6.7%Percentage2024
% Businesses agriculture, forestry, fishingBusiness28%Percentage2024
% Businesses industry and energyBusiness2.48%Percentage2024
% Businesses trade and cateringBusiness9.8%Percentage2024
% Businesses transport, information, communicationBusiness25%Percentage2024
% Businesses financial services, real estateBusiness17%Percentage2024
% Businesses business servicesBusiness11%Percentage2024
% Government, education, careBusiness750Number2025
% Businesses culture, recreation, other servicesBusiness645Number2025
Passenger cars totalTransport105Number2025
Passenger cars petrolTransport0.58Number2025
Passenger cars other fuelTransport2,885Number2025
Passenger cars per householdTransport40Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport26Number of hectares2025
Public charging stationsTransport26Number of hectares2025
Surface totalRegional0Number of hectares2025
Surface landRegional7,096Number per km²2025
Surface waterRegional1Indicator 1-52025
Population densityRegional2,993Average number per km²2025
Address densityRegional115Number2025
Change in classification of neighborhoodsnan38Number2025
Crime totalCrime12Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime14Number2025
Crime environmentalCrime25Number2025
Crime scamCrime9Number2025
Crime trafficCrime17Number2025
Crime destructionCrime62Number per 1,000 inhabitants2025
Crime otherCrime21Number per 1,000 inhabitants2025
Crime theftCrime7Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime8Number per 1,000 inhabitants2025
Crime environmentalCrime14Number per 1,000 inhabitants2025
Crime scamCrime5Number per 1,000 inhabitants2025
Crime trafficCrime9Number per 1,000 inhabitants2025
Crime destructionCrime10Number2024
Crime otherCrime10Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents1,687Number2026
Traffic accidents deadlyTraffic accidents1,669Number2026
Addresses totalRegional1,552Number2026
Addresses with postal codeRegional13Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional6Number2026
Addresses with cell functionRegional6Number2026
Addresses with healthcare functionRegional80Number2026
Addresses with industrial functionRegional0Number2026
Addresses with office functionRegional2Number2026
Addresses with lodging functionRegional2Number2026
Addresses with educational functionRegional35Number2026
Addresses with sports functionRegional24Number2026
Addresses with retail functionRegional1,687Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional0Number2026
Berth locationsRegional432Number2026
Stand locationsRegional1,686Number2026
Buildings with addressRegional412Number2026
Addresses with buildingRegional1,687Number2026
Parcels with addressRegional1,687Number2026
Addresses with parcelRegional0Number2026
Addresses within built-up areaRegional1,552Number2026
Addresses outside built-up areaRegional0Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional12Number2026
Buildings before 1700Regional71Number2026
Buildings 1700 to 1900Regional285Number2026
Buildings 1900 to 1925Regional44Number2026
Buildings 1925 to 1950Regional6Number2026
Buildings 1950 to 1970Regional9Number2026
Buildings 1970 to 1980Regional3Number2026
Buildings 1980 to 1990Regional0Number2026
Buildings 1990 to 2000Regional1Number2026
Buildings 2000 to 2010Regional1Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional22Number2026
Buildings built before 1700Regional126Number2026
Buildings built from 1700 to 1900Regional343Number2026
Buildings built from 1900 to 1925Regional398Number2026
Buildings built from 1925 to 1950Regional380Number2026
Buildings built from 1950 to 1970Regional179Number2026
Buildings built from 1970 to 1980Regional18Number2026
Buildings built from 1980 to 1990Regional0Number2026
Buildings built from 1990 to 2000Regional14Number2026
Buildings built from 2000 to 2010Regional206Number2026
Buildings built from 2010 to 2020Regional320Number2026
Buildings built from 2020 onwardsRegional162Number2026
Undetermined energy labelEnergy consumption1,205Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption0Number2026
Energy label A+++++Energy consumption1Number2026
Energy label A++++Energy consumption9Number2026
Energy label A+++Energy consumption11Number2026
Energy label A++Energy consumption244Number2026
Energy label A+Energy consumption210Number2026
Energy label AEnergy consumption282Number2026
Energy label BEnergy consumption106Number2026
Energy label CEnergy consumption97Number2026
Energy label DEnergy consumption239Number2026
Energy label EEnergy consumption168Number2026
Energy label FEnergy consumption6411BR-6411MHName2026
nanType of house number range6411Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional0.48Average distance in km2024
Coverage percentage most common zipcodeRegional2.76Average number2024
Distance to general practitionerProximity8.8Average number2024
General practitioners within 1 kmProximity20Average number2024
General practitioners within 3 kmProximity3.14Average distance in km2024
General practitioners within 5 kmProximity0.74Average distance in km2024
Distance to general practitioner postProximity3.14Average distance in km2024
Pharmacy distanceProximity1.0Average number2024
Hospital with outpatient clinic distanceProximity3.0Average number2024
Hospitals with outpatient clinic within 5 kmProximity4.68Average number2024
Hospitals with outpatient clinic within 10 kmProximity3.14Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity1.0Average number2024
Hospital distanceProximity1.0Average number2024
Hospitals within 5 kmProximity2.0Average number2024
Hospitals within 10 kmProximity0.83Average distance in km2024
Hospitals within 20 kmProximity1.78Average number2024
Large supermarket distanceProximity13Average number2024
Large supermarkets within 1 kmProximity25Average number2024
Large supermarkets within 3 kmProximity0.26Average distance in km2024
Large supermarkets within 5 kmProximity13Average number2024
Other daily groceries distanceProximity38Average number2024
Other daily groceries within 1 kmProximity69Average number2024
Other daily groceries within 3 kmProximity0.99Average distance in km2024
Other daily groceries within 5 kmProximity3.0Average number2024
Department store distanceProximity6Average number2024
Department stores within 5 kmProximity14Average number2024
Department stores within 10 kmProximity0.39Average distance in km2024
Department stores within 20 kmProximity20Average number2024
Cafe distanceProximity32Average number2024
Cafes within 1 kmProximity50Average number2024
Cafes within 3 kmProximity0.26Average distance in km2024
Cafes within 5 kmProximity23Average number2024
Snack bar distanceProximity65Average number2024
Snack bars within 1 kmProximity117Average number2024
Snack bars within 3 kmProximity0.24Average distance in km2024
Snack bars within 5 kmProximity43Average number2024
Restaurant distanceProximity64Average number2024
Restaurants within 1 kmProximity100Average number2024
Restaurants within 3 kmProximity0.54Average distance in km2024
Restaurants within 5 kmProximity8.3Average number2024
Hotel distanceProximity25Average number2024
Hotels within 5 kmProximity154Average number2024
Hotels within 10 kmProximity0.47Average distance in km2024
Hotels within 20 kmProximity4.59Average number2024
Daycare distanceProximity23Average number2024
Daycares within 1 kmProximity43Average number2024
Daycares within 3 kmProximity0.41Average distance in km2024
Daycares within 5 kmProximity3.75Average number2024
After-school care distanceProximity16Average number2024
After-school care within 1 kmProximity26Average number2024
After-school care within 3 kmProximity1.12Average distance in km2024
After-school care within 5 kmProximity0.51Average number2024
Primary education distanceProximity10Average number2024
Primary education within 1 kmProximity21Average number2024
Primary education within 3 kmProximity0.77Average distance in km2024
Primary education within 5 kmProximity13Average number2024
Secondary education total distanceProximity15Average number2024
Secondary education total within 3 kmProximity21Average number2024
Secondary education total within 5 kmProximity0.77Average distance in km2024
Secondary education total within 10 kmProximity11Average number2024
Secondary education VMBO distanceProximity13Average number2024
Secondary education VMBO within 3 kmProximity17Average number2024
Secondary education VMBO within 5 kmProximity0.77Average distance in km2024
Secondary education VMBO within 10 kmProximity7Average number2024
Secondary education HAVO VWO distanceProximity8Average number2024
Secondary education HAVO VWO within 3 kmProximity12Average number2024
Secondary education HAVO VWO within 5 kmProximity0.4Average 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 distanceProximity1.73Average distance in km2017
Day recreational area distanceProximity2.31Average distance in km2017
Forest distanceProximity3.66Average distance in km2017
Open natural area total distanceProximity2.31Average distance in km2017
Open dry natural area distanceProximity0.41Average distance in km2017
Open wet natural area distanceProximity1.27Average distance in km2017
Semi-public green space total distanceProximity3.34Average distance in km2017
Sports field distanceProximity2.53Average distance in km2017
Allotment garden distanceProximity0.41Average distance in km2017
Residential recreational area distanceProximity1.87Average distance in km2017
Cemetery distanceProximity1.01Average distance in km2024
Recreational inland water distanceProximity1.33Average distance in km2024
Main road access distanceProximity1.33Average distance in km2024
Train station distanceProximity0.64Average distance in km2024
Major transfer station distanceProximity4.4Average distance in km2024
Library distanceProximity16Average distance in km2024
Swimming pool distanceProximity0.69Average distance in km2024
Artificial ice rink distanceProximity2.0Average number2024
Performing arts distanceProximity3.0Average number2024
Performing arts within 5 kmProximity6Average number2024
Performing arts within 10 kmProximity0.69Average distance in km2024
Performing arts within 20 kmProximity0.59Average distance in km2024
Pop venue distanceProximity2.66Average number2024
Cinema distanceProximity3.0Average number2024
Cinemas within 5 kmProximity6Average number2024
Cinemas within 10 kmProximity13Average distance in km2024
Cinemas within 20 kmProximity0.61Average distance in km2024
Sauna distanceProximity0.54Average distance in km2024
Tanning salon distanceProximity3.0Average number2024
Museum distanceProximity5Average number2024
Museums within 5 kmProximity12Average number2024
Museums within 10 kmProximity2.1Average distance in km2024
Museums within 20 kmProximity7.5Average number2024
Attraction distanceProximity10Average number2024
Attractions within 10 kmProximity17Average number2024
Attractions within 20 kmProximity0.79Average distance in km2024

Table with more than 250 topics for the neighbourhood Op de Nobel.

👆 The table above shows the latest available data for the neighbourhood Op de Nobel for over 250 topics. The most recent update of the data was done at January 15th, 2026. The rows are sorted by category and subject.

Table usage:

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Download and data sources
Download as Excel datasets and open data sources used

Download all data for all years and all regional levels for The Netherlands as a whole or a specific municipality. Try this example download for free. (The downloads are currently still in Dutch, translation can be prioritised on request.)

Data is used from multiple Dutch open data providers. See this description of the sources with the definitions of all regional topics.

Sources & definitions