Statistics neighbourhood Hoog-Keppel

Statistics neighbourhood Hoog-Keppel

Check out data on over 250 topics about the neighbourhood Hoog-Keppel in municipality Bronckhorst. 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 Hoog-Keppel in municipality Bronckhorst. 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 Hoog-Keppel on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Hoog-Keppel has 425 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 Hoog-Keppel.


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

JaarPopulation Neighbourhood Hoog-Keppel% difference
20254251,19%
20244202,44%
2023410-1,2%
20224153,75%
20214000,0%
2020400-1,23%
20194050,0%
2018405-4,71%
2017425-1,16%
20164303,61%
2015415-1,19%
20144200,0%
2013420geen data

The population of the neighbourhood Hoog-Keppel has changed with 5 persons from 420 persons in 2013 to 425 persons in 2025 (that is a change of 1,19%). The average difference per year over the entire period from 2013 to 2025 was 0 persons (0,12%).

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 Hoog-Keppel
Map of the surroundings of the neighbourhood Hoog-Keppel.
Image of the neighbourhood Hoog-Keppel 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 Hoog-Keppel (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 Hummelo en Keppel with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Verspreide huizen ten noorden van Drempt, 2: Achterdrempt, 3: Verspreide huizen Hummelo-Broek, 4: Verspreide huizen Hummelo, 5: Verspreide huizen Hoog-Keppel, 6: Drempt, 7: Hoog-Keppel, 8: Hummelo, 9: Laag-Keppel, 10: Verspreide huizen ten zuidoosten van Hummelo, 11: Verspreide huizen Oude IJsselgebied.

Regional overview

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House characteristics
There are 207 houses in de buurt Hoog-Keppel.
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 Hoog-Keppel:

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 Hoog-Keppel
The average property value in The neighbourhood Hoog-Keppel was €535.000 in 2025.

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The chart above shows the average WOZ property value per year in the neighbourhood Hoog-Keppel.


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

JaarAverage property value Neighbourhood Hoog-Keppel% difference
2025€535.0001,52%
2024€527.0006,2%
2023€496.00020%
2022€413.00020%
2021€343.0005,5%
2020€325.0007,3%
2019€303.0003,41%
2018€293.0006,2%
2017€276.0001,85%
2016€271.000-2,17%
2015€277.000-4,81%
2014€291.000-7,3%
2013€314.000geen data

The average property value in the neighbourhood Hoog-Keppel has changed with €221.000 from €314.000 in 2013 to €535.000 in 2025 (that is a change of 70%). The average difference per year over the entire period from 2013 to 2025 was €18.417 (4,85%). The development of the data over time follows a clearly increasing trend: The numbers grow almost every year.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Types of dwellings
Corner dwelling type is most common in Neighbourhood Hoog-Keppel: there are 102 addresses with house type corner dwelling type.
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The pie chart above shows the number and percentage of dwellings by type in the neighbourhood Hoog-Keppel.

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 Hoog-Keppel are D (59 addresses) and C (34 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood Hoog-Keppel. 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 D is most common in Neighbourhood Hoog-Keppel: 59 addresses have energy label D. The download with detailed information for the municipality Bronckhorst 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 Hoog-Keppel in 2024.

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The above graph shows the development of the number of traffic accidents in the neighbourhood Hoog-Keppel. 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 Hoog-Keppel 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 Hoog-Keppel.

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 Hoog-Keppel. 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 2 crimes were registered in Neighbourhood Hoog-Keppel.
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Total number of registered crimes in the neighbourhood Hoog-Keppel, 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 Hoog-Keppel a total of 63 crimes have been registered from 2012 to 2025. These crimes are classified into 13 different types of crime. For 13% of all neighbourhoods in the Netherlands, 63 or fewer crimes have been registered in this period. In 2025 the police recorded 2 crimes in the neighbourhood Hoog-Keppel. 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 Hoog-Keppel from 2012 to 2025 are Horizontal fraud (15 crimes) en Theft/burglary home (10 crimes).
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Number of crimes for the ten most common types of crimes from 2012 to 2025 inclusive, neighbourhood Hoog-Keppel.

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

Crimes per 1,000 inhabitants
There were 2.0 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Neighbourhood Hoog-Keppel.
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Crime: number of crimes per 1,000 inhabitants in 2025 in the neighbourhood Hoog-Keppel.

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

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 Hoog-Keppel. 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
9 people per 1,000 inhabitants died in 2024 in Neighbourhood Hoog-Keppel.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the neighbourhood Hoog-Keppel.

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 codeRegionalBU18760401Code2025
Region nameRegionalHoog-KeppelName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional18760401Code2025
InhabitantsPopulation425Number2025
MenPopulation210Number2025
WomenPopulation220Number2025
Ages 0 - 15Population35Number2025
Ages 15 - 25Population30Number2025
Ages 25 - 45Population60Number2025
Ages 45 - 65Population120Number2025
Ages 65 and upPopulation180Number2025
Not marriedPopulation140Number2025
MarriedPopulation205Number2025
DivorcedPopulation50Number2025
WidowedPopulation35Number2025
% MenPopulation49%Percentage2025
% WomenPopulation51%Percentage2025
% Ages 0 - 15Population8.2%Percentage2025
% Ages 15 - 25Population7.1%Percentage2025
% Ages 25 - 45Population14%Percentage2025
% Ages 45 - 65Population28%Percentage2025
% Ages 65 and upPopulation42%Percentage2025
% Not marriedPopulation33%Percentage2025
% MarriedPopulation48%Percentage2025
% DivorcedPopulation12%Percentage2025
% WidowedPopulation8.1%Percentage2025
Births totalPopulation5Number2024
Births relativePopulation5Number per 1,000 inhabitants2024
Mortality totalPopulation5Number2024
Mortality relativePopulation9Number per 1,000 inhabitants2024
Origin NetherlandsMigration385Number2025
Origin outside NetherlandsMigration40Number2025
Origin EuropeMigration25Number2025
Origin outside EuropeMigration15Number2025
% Origin NetherlandsMigration91%Percentage2025
% Origin outside NetherlandsMigration9.4%Percentage2025
% Origin EuropeMigration5.9%Percentage2025
% Origin outside EuropeMigration3.53%Percentage2025
Born in Netherlands origin NetherlandsMigration385Number2025
Born in Netherlands origin EuropeMigration15Number2025
Born in Netherlands origin outside EuropeMigration5Number2025
Born in NetherlandsMigration20Number2025
Born in NetherlandsMigration405Number2025
Born outside Netherlands origin EuropeMigration10Number2025
Born outside Netherlands origin outside EuropeMigration5Number2025
Born outside NetherlandsMigration15Number2025
% Born in Netherlands origin NetherlandsMigration91%Percentage2025
% Born in Netherlands origin EuropeMigration3.53%Percentage2025
% Born in Netherlands origin outside EuropeMigration4.71%Percentage2025
% Born in NetherlandsMigration1.18%Percentage2025
% Born in NetherlandsMigration95%Percentage2025
% Born outside Netherlands origin EuropeMigration2.35%Percentage2025
% Born outside Netherlands origin outside EuropeMigration1.18%Percentage2025
% Born outside NetherlandsMigration3.53%Percentage2025
Native DutchMigration385Number2022
Western totalMigration25Number2022
Non-western totalMigration5Number2022
Dutch Antilles and ArubaMigration0Number2022
MoroccoMigration0Number2022
SurinameMigration0Number2022
TurkeyMigration0Number2022
Other non-westernMigration5Number2022
Primary school pupils Education20Number2024
Secondary school pupils Education10Number2024
Secondary vocational education students (MBO) Education10Number2024
Higher professional education students (HBO) Education10Number2024
University students (WO) Education0Number2024
Practical education level Education50Number2022
Intermediate education level Education100Number2022
Theoretical education level Education150Number2022
% Practical education level Education17%Percentage2022
% Intermediate education level Education33%Percentage2022
% Theoretical education level Education50%Percentage2022
Households Households205Number2025
Single-person households Households60Number2025
Multi-person households Households145Number2025
Multi-person households without children Households100Number2025
Multi-person households with children Households45Number2025
% Single-person households Households29%Percentage2025
% Multi-person households Households71%Percentage2025
% Multi-person households without children Households49%Percentage2025
% Multi-person households with children Households22%Percentage2025
Average household size Households2.1Average number2025
Employed labour force Income190Number2023
Net labor participationIncome64%Percentage2023
% EmployeesIncome69%Percentage2023
% Employees with permanent contractsIncome54%Percentage2023
% Employees with flexible contractsIncome15%Percentage2023
% Self-employedIncome31%Percentage2023
Income receivers per 1,000 inhabitantsIncome400Number2024
Income receiversIncome952Number per 1,000 inhabitants2024
Average income per income recipientIncome€41,500Average in euro2023
Average income per inhabitantIncome€36,800Average in euro2023
40% persons with lowest incomeIncome38%Percentage2024
20% persons with highest incomeIncome24%Percentage2024
% persons Income0.5%Percentage2024
% persons Income2.1%Percentage2024
Average standardized household incomeIncome€50,300euro2023
40% households with lowest incomeIncome23%Percentage2024
20% households with highest incomeIncome24%Percentage2024
Households with a low incomeIncome1.0%Percentage2023
% Households at social minimumIncome2.0%Percentage2023
Households up to 110% of the social minimumIncome3.5%Percentage2023
Households up to 120% of the social minimumIncome5.5%Percentage2023
Median capital assets of private householdsIncome€407,200euro2024
Persons with social security welfareIncome0Number2024
Persons with social security for incapacity for workIncome10Number2024
Persons with social security for unemployedIncome0Number2024
Persons with social security for elderlyIncome160Number2024
Persons with social security welfareIncome0%Percentage2024
Persons with social security for incapacity for workIncome2%Percentage2024
Persons with social security for unemployedIncome0%Percentage2024
Persons with social security for elderlyIncome38%Percentage2024
Young people with youth care in kindPopulationno dataNumberno data
% Young people with youth carePopulationno dataPercentageno data
Wmo clientsPopulation35Number2024
Wmo clients relativePopulation79Number per 1,000 inhabitants2024
Housing stockHouses207Number2025
Houses per 1,000 inhabitantsHouses487Number per 1,000 inhabitants2025
Newly built dwellingsHouses0Number2024
Non-dwelling stockHouses15Number2025
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€535,000Average in euro2025
House value classHouses€500.000 tot €750.000Categorical type2025
nannan178Number2025
nannan29Number2025
Privately owned homesHouses176Number2025
Rented homesHouses31Number2025
Rental-housing by corporationHouses23Number2025
Homes other rentalHouses8Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses201Number2025
Multi-family housesHouses6Number2025
InhabitedHouses85%Percentage2025
UninhabitedHouses15%Percentage2025
% Privately owned homesHouses11%Percentage2025
% Rented homesHouses4%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses86%Percentage2025
% Ownership unknownHouses14%Percentage2025
% Single-family housesHouses97%Percentage2025
% Multi-family housesHouses3%Percentage2025
% InhabitedHouses41Number2026
% UninhabitedHouses23Number2026
ApartmentsHouses8Number2026
Terraced housesHouses45Number2026
Corner dwelling typeHouses102Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses19%Percentage2026
Unknown dwelling typeHouses10%Percentage2026
% Apartment dwelling typeHouses4.0%Percentage2026
% Terraced or linked dwelling typeHouses21%Percentage2026
% Corner dwelling typeHouses47%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses33Number2026
% Unknown dwelling typeHouses48Number2026
Dwellings built before 1945Houses76Number2026
Dwellings built from 1945 to 1965Houses9Number2026
Dwellings built from 1965 to 1975Houses8Number2026
Dwellings built from 1975 to 1985Houses30Number2026
Dwellings built from 1985 to 1995Houses3Number2026
Dwellings built from 1995 to 2005Houses12Number2026
Dwellings built from 2005 to 2015Houses0Number2026
Dwellings built from 2015 to 2025Houses0Number2026
Dwellings built from 2025 onwardsHouses15%Percentage2026
Dwellings unknown year of builtHouses22%Percentage2026
% Dwellings built before 1945Houses35%Percentage2026
% Dwellings built from 1945 to 1965Houses4.0%Percentage2026
% Dwellings built from 1965 to 1975Houses4.0%Percentage2026
% Dwellings built from 1975 to 1985Houses14%Percentage2026
% Dwellings built from 1985 to 1995Houses1.0%Percentage2026
% Dwellings built from 1995 to 2005Houses5%Percentage2026
% Dwellings built from 2005 to 2015Houses0.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses3,090Average in kWh2024
% Dwellings unknown year of builtHouses1,230Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy8%Percentage2024
% Homes with solar powerEnergy2,090Average in kWh2023
% Homes primarily heated by electricityEnergy2,840Average in kWh2023
Average electricity usage apartmentEnergy1,820Average in kWh2023
Average electricity usage terraced homesEnergy2,690Average in kWh2023
Average electricity usage corner homesEnergy3,790Average in kWh2023
Average electricity usage semi-detached homesEnergy1,970Average in kWh2023
Average electricity usage detached homesEnergy3,340Average in kWh2023
Average electricity usage owner-occupied homesEnergy1,280Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergy3%Percentage2024
% Homes with district heatingEnergy92%Percentage2024
% Natural gas-free homesEnergy630Average per m³2023
% Natural gas homesEnergy1,230Average per m³2023
Average natural gas usage apartmentEnergy1,090Average per m³2023
Average natural gas usage terraced homesEnergy1,140Average per m³2023
Average natural gas usage corner homesEnergy1,620Average per m³2023
Average natural gas usage semi-detached homesEnergy1,410Average per m³2023
Average natural gas usage detached homesEnergy780Average per m³2023
Average natural gas usage owner-occupied homesEnergy65Number2024
Average natural gas usage rental homesEnergy0Number2024
Businesses totalBusiness5Number2024
Businesses agriculture, forestry, fishingBusiness5Number2024
Businesses industry and energyBusiness0Number2024
Businesses trade and cateringBusiness5Number2024
Businesses transport, information, communicationBusiness20Number2024
Businesses financial services, real estateBusiness15Number2024
Businesses business servicesBusiness15Number2024
Government, education, careBusiness0.0%Percentage2024
Businesses culture, recreation, other servicesBusiness7.7%Percentage2024
% Businesses agriculture, forestry, fishingBusiness7.7%Percentage2024
% Businesses industry and energyBusiness0.0%Percentage2024
% Businesses trade and cateringBusiness7.7%Percentage2024
% Businesses transport, information, communicationBusiness31%Percentage2024
% Businesses financial services, real estateBusiness23%Percentage2024
% Businesses business servicesBusiness23%Percentage2024
% Government, education, careBusiness290Number2025
% Businesses culture, recreation, other servicesBusiness225Number2025
Passenger cars totalTransport65Number2025
Passenger cars petrolTransport1.45Number2025
Passenger cars other fuelTransport906Number2025
Passenger cars per householdTransport15Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport32Number of hectares2025
Public charging stationsTransport32Number of hectares2025
Surface totalRegional0Number of hectares2025
Surface landRegional1,328Number per km²2025
Surface waterRegional5Indicator 1-52025
Population densityRegional80Average number per km²2025
Address densityRegional2Number2025
Change in classification of neighborhoodsnan1Number2025
Crime totalCrime0Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime1Number2025
Crime environmentalCrime0Number2025
Crime scamCrime0Number2025
Crime trafficCrime0Number2025
Crime destructionCrime5Number per 1,000 inhabitants2025
Crime otherCrime2Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime2Number per 1,000 inhabitants2025
Crime environmentalCrime0Number per 1,000 inhabitants2025
Crime scamCrime0Number per 1,000 inhabitants2025
Crime trafficCrime0Number per 1,000 inhabitants2025
Crime destructionCrime2Number2024
Crime otherCrime2Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents234Number2026
Traffic accidents deadlyTraffic accidents232Number2026
Addresses totalRegional219Number2026
Addresses with postal codeRegional3Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional6Number2026
Addresses with cell functionRegional4Number2026
Addresses with healthcare functionRegional3Number2026
Addresses with industrial functionRegional0Number2026
Addresses with office functionRegional1Number2026
Addresses with lodging functionRegional0Number2026
Addresses with educational functionRegional0Number2026
Addresses with sports functionRegional2Number2026
Addresses with retail functionRegional234Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional0Number2026
Berth locationsRegional192Number2026
Stand locationsRegional234Number2026
Buildings with addressRegional191Number2026
Addresses with buildingRegional234Number2026
Parcels with addressRegional234Number2026
Addresses with parcelRegional0Number2026
Addresses within built-up areaRegional219Number2026
Addresses outside built-up areaRegional0Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional15Number2026
Buildings before 1700Regional7Number2026
Buildings 1700 to 1900Regional17Number2026
Buildings 1900 to 1925Regional57Number2026
Buildings 1925 to 1950Regional72Number2026
Buildings 1950 to 1970Regional7Number2026
Buildings 1970 to 1980Regional6Number2026
Buildings 1980 to 1990Regional8Number2026
Buildings 1990 to 2000Regional1Number2026
Buildings 2000 to 2010Regional2Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional18Number2026
Buildings built before 1700Regional7Number2026
Buildings built from 1700 to 1900Regional18Number2026
Buildings built from 1900 to 1925Regional64Number2026
Buildings built from 1925 to 1950Regional73Number2026
Buildings built from 1950 to 1970Regional7Number2026
Buildings built from 1970 to 1980Regional6Number2026
Buildings built from 1980 to 1990Regional28Number2026
Buildings built from 1990 to 2000Regional1Number2026
Buildings built from 2000 to 2010Regional12Number2026
Buildings built from 2010 to 2020Regional20Number2026
Buildings built from 2020 onwardsRegional84Number2026
Undetermined energy labelEnergy consumption130Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption0Number2026
Energy label A+++++Energy consumption1Number2026
Energy label A++++Energy consumption1Number2026
Energy label A+++Energy consumption9Number2026
Energy label A++Energy consumption30Number2026
Energy label A+Energy consumption22Number2026
Energy label AEnergy consumption34Number2026
Energy label BEnergy consumption59Number2026
Energy label CEnergy consumption10Number2026
Energy label DEnergy consumption25Number2026
Energy label EEnergy consumption23Number2026
Energy label FEnergy consumption6997AA-6997AZName2026
nanType of house number range6997Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional0.5Average distance in km2024
Coverage percentage most common zipcodeRegional1.0Average number2024
Distance to general practitionerProximity1.0Average number2024
General practitioners within 1 kmProximity1.0Average number2024
General practitioners within 3 kmProximity7.5Average distance in km2024
General practitioners within 5 kmProximity5.7Average distance in km2024
Distance to general practitioner postProximity5.7Average distance in km2024
Pharmacy distanceProximity0.0Average number2024
Hospital with outpatient clinic distanceProximity2.9Average number2024
Hospitals with outpatient clinic within 5 kmProximity6Average number2024
Hospitals with outpatient clinic within 10 kmProximity7.5Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity1.0Average number2024
Hospitals within 5 kmProximity3.0Average number2024
Hospitals within 10 kmProximity2.7Average distance in km2024
Hospitals within 20 kmProximity0.0Average number2024
Large supermarket distanceProximity0.9Average number2024
Large supermarkets within 1 kmProximity2.1Average number2024
Large supermarkets within 3 kmProximity2.7Average distance in km2024
Large supermarkets within 5 kmProximity0.0Average number2024
Other daily groceries distanceProximity1.8Average number2024
Other daily groceries within 1 kmProximity6Average number2024
Other daily groceries within 3 kmProximity5.3Average distance in km2024
Other daily groceries within 5 kmProximity0.2Average number2024
Department store distanceProximity3.0Average number2024
Department stores within 5 kmProximity17Average number2024
Department stores within 10 kmProximity4.7Average distance in km2024
Department stores within 20 kmProximity0.0Average number2024
Cafe distanceProximity0.0Average number2024
Cafes within 1 kmProximity1.3Average number2024
Cafes within 3 kmProximity1.6Average distance in km2024
Cafes within 5 kmProximity0.0Average number2024
Snack bar distanceProximity1.8Average number2024
Snack bars within 1 kmProximity7.6Average number2024
Snack bars within 3 kmProximity2.0Average distance in km2024
Snack bars within 5 kmProximity0.0Average number2024
Restaurant distanceProximity2.8Average number2024
Restaurants within 1 kmProximity4.7Average number2024
Restaurants within 3 kmProximity2.7Average distance in km2024
Restaurants within 5 kmProximity1.0Average number2024
Hotel distanceProximity6.2Average number2024
Hotels within 5 kmProximity33Average number2024
Hotels within 10 kmProximity2.1Average distance in km2024
Hotels within 20 kmProximity0.0Average number2024
Daycare distanceProximity3.0Average number2024
Daycares within 1 kmProximity4.3Average number2024
Daycares within 3 kmProximity2.1Average distance in km2024
Daycares within 5 kmProximity0.0Average number2024
After-school care distanceProximity2.0Average number2024
After-school care within 1 kmProximity3.7Average number2024
After-school care within 3 kmProximity2.1Average distance in km2024
After-school care within 5 kmProximity0.0Average number2024
Primary education distanceProximity2.0Average number2024
Primary education within 1 kmProximity3.2Average number2024
Primary education within 3 kmProximity6.6Average distance in km2024
Primary education within 5 kmProximity0.0Average number2024
Secondary education total distanceProximity0.0Average number2024
Secondary education total within 3 kmProximity11Average number2024
Secondary education total within 5 kmProximity7.2Average distance in km2024
Secondary education total within 10 kmProximity0.0Average number2024
Secondary education VMBO distanceProximity0.0Average number2024
Secondary education VMBO within 3 kmProximity10Average number2024
Secondary education VMBO within 5 kmProximity7.5Average distance in km2024
Secondary education VMBO within 10 kmProximity0.0Average number2024
Secondary education HAVO VWO distanceProximity0.0Average number2024
Secondary education HAVO VWO within 3 kmProximity7.8Average number2024
Secondary education HAVO VWO within 5 kmProximity0.2Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity0.7Average distance in km2017
Public green space total distanceProximity7.3Average distance in km2017
Park or garden distanceProximity0.2Average distance in km2017
Day recreational area distanceProximity1.4Average distance in km2017
Forest distanceProximity2.8Average distance in km2017
Open natural area total distanceProximity1.4Average distance in km2017
Open dry natural area distanceProximity0.3Average distance in km2017
Open wet natural area distanceProximity0.3Average distance in km2017
Semi-public green space total distanceProximity4.0Average distance in km2017
Sports field distanceProximity2.6Average distance in km2017
Allotment garden distanceProximity3.0Average distance in km2017
Residential recreational area distanceProximity5.1Average distance in km2017
Cemetery distanceProximity0.6Average distance in km2024
Recreational inland water distanceProximity6.5Average distance in km2024
Main road access distanceProximity18Average distance in km2024
Train station distanceProximity5.7Average distance in km2024
Major transfer station distanceProximity3.9Average distance in km2024
Library distanceProximity32Average distance in km2024
Swimming pool distanceProximity7.9Average distance in km2024
Artificial ice rink distanceProximity0.0Average number2024
Performing arts distanceProximity1.0Average number2024
Performing arts within 5 kmProximity6Average number2024
Performing arts within 10 kmProximity24Average distance in km2024
Performing arts within 20 kmProximity5.7Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity3.0Average number2024
Cinemas within 5 kmProximity7Average number2024
Cinemas within 10 kmProximity8.8Average distance in km2024
Cinemas within 20 kmProximity7.7Average distance in km2024
Sauna distanceProximity5.2Average distance in km2024
Tanning salon distanceProximity0.3Average number2024
Museum distanceProximity4.0Average number2024
Museums within 5 kmProximity14Average number2024
Museums within 10 kmProximity4.6Average distance in km2024
Museums within 20 kmProximity2.0Average number2024
Attraction distanceProximity4.0Average number2024
Attractions within 10 kmProximity24Average number2024
Attractions within 20 kmProximity5.2Average distance in km2024

Table with more than 250 topics for the neighbourhood Hoog-Keppel.

👆 The table above shows the latest available data for the neighbourhood Hoog-Keppel 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