Statistics neighbourhood Pekingpark

Statistics neighbourhood Pekingpark

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

Population per year
The neighbourhood Pekingpark has 610 inhabitants in 2024.








One moment please: your device is loading the charts from AllCharts.info.






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


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

JaarPopulation Neighbourhood Pekingpark% difference
20246101,67%
20236000%
20226000,84%
20215954,39%
20205700%
2019570-0,87%
20185754,55%
20175503,77%
20165301,92%
20155200,97%
2014515-2,83%
2013530geen data

Het number of inhabitants in the neighbourhood Pekingpark has changed with 80 inhabitants from 530 inhabitants in 2013 to 610 inhabitants in 2024 (that is a change of 15%). The average difference per year over the entire period from 2013 to 2024 was 7 inhabitants (1,31%). The development of the data over time follows a slightly increasing trend: The numbers increase 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 Pekingpark
Image of the neighbourhood Pekingpark 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 Pekingpark (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 Baarn with the population per neighbourhood in 2024. The numbers at the map represent the following neighbourhoods: 1: Zandvoort, 2: Centrum, 3: Transvaal, 4: Schoonoordpark, 5: Amaliapark, 6: Oude-Oosterhei, 7: Pekingpark, 8: Nieuwe-Oosterhei

Advertisement:

House characteristics
There are 221 houses in de buurt Pekingpark.
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 Pekingpark:

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 Pekingpark
The average property value in The neighbourhood Pekingpark was €953.000 in 2023.








One moment please: your device is loading the charts from AllCharts.info.






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


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

JaarAverage property value Neighbourhood Pekingpark% difference
2023€953.00016%
2022€825.0006,3%
2021€776.0004,86%
2020€740.0003,21%
2019€717.0006,4%
2018€674.0005,3%
2017€640.0003,39%
2016€619.0000,98%
2015€613.000-4,22%
2014€640.000-5,9%
2013€680.000geen data

The average property value in the neighbourhood Pekingpark has changed with €273.000 from €680.000 in 2013 to €953.000 in 2023 (that is a change of 40%). The average difference per year over the entire period from 2013 to 2023 was €27.300 (3,59%). The development of the data over time follows a clearly increasing trend: The numbers increase almost every year.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Energy labels
The most common energy labels in Neighbourhood Pekingpark are G (77 addresses) and D (46 addresses).








One moment please: your device is loading the charts from AllCharts.info.






The chart above shows the number of addresses per type of energy label in the neighbourhood Pekingpark. 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 G is most common in Neighbourhood Pekingpark: 77 addresses have energy label G. The download with detailed information for the municipality Baarn 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 1 traffic accidents in total in Neighbourhood Pekingpark in 2022.








Heel even geduld alsjeblieft: je apparaat laadt de grafieken van Allecijfers.nl.






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

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 Pekingpark. 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 15 November 2024.

Total recorded crime per month or per year
In 2023 a total of 12 crimes were registered in Neighbourhood Pekingpark.








Heel even geduld alsjeblieft: je apparaat laadt de grafieken van Allecijfers.nl.






Total number of registered crimes in the neighbourhood Pekingpark, from 2012 to 2023 inclusive (when displaying the data per year) or May 2023 to October 2024 (when displaying the data per month).

In the neighbourhood Pekingpark a total of 210 crimes have been registered from 2012 to 2023. These crimes are classified into 19 different types of crime. In 2023 the police recorded 12 crimes in the neighbourhood Pekingpark. 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 Pekingpark in 2023 are Horizontal fraud (4 crimes) en Theft/burglary home (3 crimes).








Heel even geduld alsjeblieft: je apparaat laadt de grafieken van Allecijfers.nl.






Number of crimes for the 6 types of crimes as registered in 2023 in the neighbourhood Pekingpark.

Crime definitions (Dutch)
Total crime per month
In October 2024 no crimes were registered in Neighbourhood Pekingpark.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Pekingpark 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 Pekingpark 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 Baarn.

Crimes per 1,000 inhabitants
There were 6.56 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2023 in Neighbourhood Pekingpark.








Heel even geduld alsjeblieft: je apparaat laadt de grafieken van Allecijfers.nl.






Crime: number of crimes per 1,000 inhabitants in 2023 in the neighbourhood Pekingpark.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood Pekingpark. 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
10 babies per 1,000 inhabitants were born in 2023 in Neighbourhood Pekingpark.








One moment please: your device is loading the charts from AllCharts.info.






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

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 Pekingpark. 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
5 people per 1,000 inhabitants died in 2023 in Neighbourhood Pekingpark.








One moment please: your device is loading the charts from AllCharts.info.






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

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 codeRegionalBU03080006Code2024
Region nameRegionalPekingparkName2024
Region typeRegionalBuurtCategorical type2024
Sort codeRegional03080006Code2024
InhabitantsPopulation610Number2024
MenPopulation295Number2024
WomenPopulation315Number2024
Ages 0 - 15Population140Number2024
Ages 15 - 25Population60Number2024
Ages 25 - 45Population85Number2024
Ages 45 - 65Population190Number2024
Ages 65 and upPopulation135Number2024
Not marriedPopulation270Number2024
MarriedPopulation295Number2024
DivorcedPopulation10Number2024
WidowedPopulation30Number2024
Origin NetherlandsMigration505Number2024
Origin outside NetherlandsMigration100Number2024
Origin EuropeMigration40Number2024
Origin outside EuropeMigration60Number2024
Born in NetherlandsMigration510Number2024
Born in Netherlands origin EuropeMigration20Number2024
Born in Netherlands origin outside EuropeMigration40Number2024
Born outside Netherlands origin EuropeMigration25Number2024
Born outside Netherlands origin outside EuropeMigration25Number2024
Native DutchMigration500Number2022
Western totalMigration65Number2022
Non-western totalMigration35Number2022
MoroccoMigration0Number2022
Dutch Antilles and ArubaMigration5Number2022
SurinameMigration0Number2022
TurkeyMigration5Number2022
Other non-westernMigration30Number2022
Births totalPopulation10Number2023
Births relativePopulation10Number per 1000 inhabitants2023
Mortality totalPopulation0Number2023
Mortality relativePopulation5Number per 1000 inhabitants2023
Households totalHouseholds220Number2024
Single-person householdsHouseholds30Number2024
Households without childrenHouseholds85Number2024
Households with childrenHouseholds110Number2024
Average household sizeHouseholds2.80Average number2024
Population densityRegional3,211Number per km²2024
Housing stockHouses221Number2023
Average house valueHouses€953,000Average number2023
Percentage single-family housesHouses94%Percentage2023
Percentage multi-family housesHouses6%Percentage2023
Percentage inhabitedHouses99%Percentage2023
Percentage uninhabitedHouses1%Percentage2023
Percentage privately owned homesHouses96%Percentage2023
Percentage rented homesHouses4%Percentage2023
Percentage rental-housing by corporationHouses0%Percentage2023
Percentage homes other rentalHouses4%Percentage2023
Ownership unknownHouses0%Percentage2023
Percentage homes built before 2000Houses99%Percentage2023
Percentage homes built since 2000Houses1%Percentage2023
Average electricity usage totalEnergy consumption4,200Average number per km²2023
Average electricity usage apartmentEnergy consumption2,790Average number per km²2023
Average electricity usage terraced homesEnergy consumption4,510Average number per km²2023
Average electricity usage corner homesEnergy consumption3,890Average number per km²2023
Average electricity usage semi-detached homesEnergy consumption4,280Average number per km²2023
Average electricity usage detached homesEnergy consumption4,310Average number per km²2023
Average electricity usage rental homesEnergy consumption4,010Average number per km²2023
Average electricity usage owner-occupied homesEnergy consumption4,210Average number per km²2023
Average natural gas usage totalEnergy consumption1,740Average in kWh2023
Average natural gas usage apartmentEnergy consumption1,370Average in kWh2023
Average natural gas usage terraced homesEnergy consumption1,550Average in kWh2023
Average natural gas usage corner homesEnergy consumption2,000Average in kWh2023
Average natural gas usage semi-detached homesEnergy consumption1,660Average in kWh2023
Average natural gas usage detached homesEnergy consumption1,980Average in kWh2023
Average natural gas usage rental homesEnergy consumption1,430Average in kWh2023
Average natural gas usage owner-occupied homesEnergy consumption1,760Average in kWh2023
Percentage homes with district heatingEnergy consumption0%Percentage2014
Education level lowPopulation50Number2022
Education level mediumPopulation80Number2022
Education level highPopulation270Number2022
Net labor participationIncome65%Percentage2022
Percentage employeesIncome67%Percentage2022
Percentage self-employedIncome33%Percentage2022
Number of income receiversIncome400Number2022
Average income per income recipientIncome€74,400Average number2021
Average income per inhabitantIncome€56,200Average number2021
40 percentile persons with lowest incomeIncome30%Percentage2022
20 percentile persons with highest incomeIncome47%Percentage2022
Active persons 15-75 yearsIncome70%Percentage2021
40 percentile households with lowest incomeIncome4.10%Percentage2022
20 percentile households with highest incomeIncome64%Percentage2022
Percentage households with a low incomeIncome0.90%Percentage2022
Percentage households at social minimumIncome0.90%Percentage2022
Households up to 110% of the social minimumIncome0.90%Percentage2022
Households up to 120% of the social minimumIncome1.40%Percentage2022
Median capital assets of private householdsIncome€1,052x 1,000 Euro2022
Persons with social security welfareIncome0Number2023
Persons with social security for incapacity for workIncome10Number2023
Persons with social security for unemployedIncome10Number2023
Persons with social security for elderlyIncome130Number2023
Young people with youth care in kindPopulation15Number2022
Percentage young people with youth carePopulation7.3%Percentage2022
WMO clientsPopulation10Number2022
WMO clients relativePopulation17Number per 1000 inhabitants2022
Businesses totalBusiness105Number2023
Businesses agriculture, forestry, fishingBusiness0Number2023
Businesses industry and energyBusiness0Number2023
Businesses trade and cateringBusiness5Number2023
Businesses transport, information, communicationBusiness10Number2023
Businesses financial services, real estateBusiness15Number2023
Businesses business servicesBusiness50Number2023
Government, education, careBusiness25Number2023
Businesses culture, recreation, other servicesBusiness0Number2023
Passenger cars totalTransport340Number2024
Passenger cars petrolTransport240Number2024
Passenger cars other fuelTransport100Number2024
Passenger cars per householdTransport1.55Number2024
Passenger cars per surfaceRegional1,789Number2024
MotorcyclesTransport20Number2024
Surface totalRegional19Number of hectares2024
Surface landRegional19Number of hectares2024
Surface waterRegional0Number of hectares2024
Degree of urbanizationRegional2Indicator 1-52024
Address densityRegional2,053Average distance in km2024
Addresses totalRegional224Number2024
Addresses with postal codeRegional222Number2024
Addresses with residential functionRegional221Number2024
Addresses with meeting functionRegional0Number2024
Addresses with cell functionRegional0Number2024
Addresses with healthcare functionRegional0Number2024
Addresses with industrial functionRegional0Number2024
Addresses with office functionRegional0Number2024
Addresses with lodging functionRegional0Number2024
Addresses with educational functionRegional1Number2024
Addresses with sports functionRegional0Number2024
Addresses with retail functionRegional0Number2024
Addresses with other usage functionRegional2Number2024
Residential objectsRegional224Number2024
Berth locationsRegional0Number2024
Stand locationsRegional0Number2024
Buildings with addressRegional206Number2024
Addresses with buildingRegional217Number2024
Parcels with addressRegional211Number2024
Addresses with parcelRegional224Number2024
Addresses within built-up areaRegional224Number2024
Addresses outside built-up areaRegional0Number2024
Addresses with residential function within built-up areaRegional221Number2024
Addresses with residential function outside built-up areaRegional0Number2024
Buildings before 1700Regional0Number2024
Buildings 1700 to 1900Regional0Number2024
Buildings 1900 to 1925Regional10Number2024
Buildings 1925 to 1950Regional139Number2024
Buildings 1950 to 1970Regional15Number2024
Buildings 1970 to 1980Regional29Number2024
Buildings 1980 to 1990Regional12Number2024
Buildings 1990 to 2000Regional0Number2024
Buildings 2000 to 2010Regional0Number2024
Buildings 2010 to 2020Regional1Number2024
Buildings 2020 and laterRegional0Number2024
Buildings built before 1700Regional0Number2024
Buildings built from 1700 to 1900Regional0Number2024
Buildings built from 1900 to 1925Regional10Number2024
Buildings built from 1925 to 1950Regional139Number2024
Buildings built from 1950 to 1970Regional15Number2024
Buildings built from 1970 to 1980Regional29Number2024
Buildings built from 1980 to 1990Regional23Number2024
Buildings built from 1990 to 2000Regional0Number2024
Buildings built from 2000 to 2010Regional0Number2024
Buildings built from 2010 to 2020Regional1Number2024
Buildings built from 2020 onwardsRegional0Number2024
Undetermined energy labelEnergy consumption2Number2024
Provisional energy labelEnergy consumption99Number2024
Final energy labelsEnergy consumption123Number2024
Energy label A+++++Energy consumption0Number2024
Energy label A++++Energy consumption0Number2024
Energy label A+++Energy consumption1Number2024
Energy label A++Energy consumption0Number2024
Energy label A+Energy consumption0Number2024
Energy label AEnergy consumption10Number2024
Energy label BEnergy consumption11Number2024
Energy label CEnergy consumption32Number2024
Energy label DEnergy consumption46Number2024
Energy label EEnergy consumption19Number2024
Energy label FEnergy consumption26Number2024
Energy label GEnergy consumption77Number2024
Apartment dwelling typeHouses13Number2024
Terraced or linked dwelling typeHouses17Number2024
Corner dwelling typeHouses11Number2024
Semi-detached dwelling typeHouses120Number2024
Detached dwelling typeHouses60Number2024
Different dwelling typeHouses0Number2024
Unknown dwelling typeHouses0Number2024
Not applicable dwelling typeHouses3Number2024
Zipcode areaRegional3743HG-3743HZName2024
Most common zipcodeRegional3743Name2024
Coverage percentage most common zipcodeRegional100%Percentage2024
Crime theftCrime4Number2023
Crime violence and sexual abuseCrime2Number2023
Crime environmentalCrime0Number2023
Crime scamCrime4Number2023
Crime trafficCrime0Number2023
Crime destructionCrime2Number2023
Crime otherCrime0Number2023
Crime totalCrime12Number2023
Traffic accidents deadlyTraffic accidents0Number2022
Traffic accidents injuriesTraffic accidents0Number2022
Traffic accidents only material damageTraffic accidents1Number2022
Traffic accidents totalTraffic accidents1Number2022
Distance to general practitionerProximity0.60Average in Euro2023
General practitioners within 1 kmProximity2Average number2023
General practitioners within 3 kmProximity8Average number2023
General practitioners within 5 kmProximity12Average number2023
Distance to general practitioner postProximity9.90Average in Euro2023
Pharmacy distanceProximity0.60Average in Euro2023
Hospital with outpatient clinic distanceProximity1.50Average in Euro2023
Hospitals with outpatient clinic within 5 kmProximity1Average number2023
Hospitals with outpatient clinic within 10 kmProximity4Average number2023
Hospitals with outpatient clinic within 20 kmProximity13Average number2023
Hospital distanceProximity7.40Average in Euro2023
Hospitals within 5 kmProximity0Average number2023
Hospitals within 10 kmProximity2Average number2023
Hospitals within 20 kmProximity8Average number2023
Large supermarket distanceProximity0.80Average in Euro2023
Large supermarkets within 1 kmProximity3Average number2023
Large supermarkets within 3 kmProximity9Average number2023
Large supermarkets within 5 kmProximity13Average number2023
Other daily groceries distanceProximity0.70Average in Euro2023
Other daily groceries within 1 kmProximity13Average number2023
Other daily groceries within 3 kmProximity32Average number2023
Other daily groceries within 5 kmProximity42Average number2023
Department store distanceProximity0.90Average in Euro2023
Department stores within 5 kmProximity2Average number2023
Department stores within 10 kmProximity8Average number2023
Department stores within 20 kmProximity29Average number2023
Cafe distanceProximity0.60Average in Euro2023
Cafes within 1 kmProximity2Average number2023
Cafes within 3 kmProximity6Average number2023
Cafes within 5 kmProximity10Average number2023
Snack bar distanceProximity0.40Average in Euro2022
Snack bars within 1 kmProximity9Average number2022
Snack bars within 3 kmProximity20Average number2022
Snack bars within 5 kmProximity32Average number2022
Restaurant distanceProximity0.50Average in Euro2023
Restaurants within 1 kmProximity18Average number2023
Restaurants within 3 kmProximity40Average number2023
Restaurants within 5 kmProximity58Average number2023
Hotel distanceProximity1Average number2022
Hotels within 5 kmProximity2.00Average in Euro2022
Hotels within 10 kmProximity13Average number2022
Hotels within 20 kmProximity71Average number2022
Daycare distanceProximity0.30Average in Euro2023
Daycares within 1 kmProximity3Average number2023
Daycares within 3 kmProximity10Average number2023
Daycares within 5 kmProximity22Average number2023
After-school care distanceProximity0.30Average in Euro2023
After-school care within 1 kmProximity1Average number2023
After-school care within 3 kmProximity14Average number2023
After-school care within 5 kmProximity24Average number2023
Primary education distanceProximity0.30Average in Euro2023
Primary education within 1 kmProximity2Average number2023
Primary education within 3 kmProximity9Average number2023
Primary education within 5 kmProximity13Average number2023
Secondary education total distanceProximity1.00Average in Euro2023
Secondary education total within 3 kmProximity3Average number2023
Secondary education total within 5 kmProximity3Average number2023
Secondary education total within 10 kmProximity21Average number2023
Secondary education VMBO distanceProximity1.00Average in Euro2023
Secondary education VMBO within 3 kmProximity2Average number2023
Secondary education VMBO within 5 kmProximity2Average number2023
Secondary education VMBO within 10 kmProximity13Average number2023
Secondary education HAVO VWO distanceProximity1.00Average in Euro2023
Secondary education HAVO VWO within 3 kmProximity2Average number2023
Secondary education HAVO VWO within 5 kmProximity2Average number2023
Secondary education HAVO VWO within 10 kmProximity11Average number2023
Public green space total distanceProximity0.30Average in Euro2017
Park or garden distanceProximity0.40Average in Euro2017
Day recreational area distanceProximity3.90Average in Euro2017
Forest distanceProximity0.40Average in Euro2017
Open natural area total distanceProximity3.30Average in Euro2017
Open dry natural area distanceProximity3.30Average in Euro2017
Open wet natural area distanceProximity4.20Average in Euro2017
Semi-public green space total distanceProximity0.50Average in Euro2017
Sports field distanceProximity1.10Average in Euro2017
Allotment garden distanceProximity1.60Average in Euro2017
Residential recreational area distanceProximity3.30Average in Euro2017
Cemetery distanceProximity0.50Average in Euro2017
Recreational inland water distanceProximity2.20Average in Euro2017
Main road access distanceProximity1.40Average in Euro2023
Train station distanceProximity0.70Average in Euro2023
Major transfer station distanceProximity9.00Average in Euro2023
Library distanceProximity0.90Average in Euro2023
Swimming pool distanceProximity1.80Average in Euro2023
Artificial ice rink distanceProximity19.60Average in Euro2023
Museum distanceProximity3.40Average in Euro2023
Museums within 5 kmProximity1Average number2023
Museums within 10 kmProximity5Average number2023
Museums within 20 kmProximity27Average number2023
Performing arts distanceProximity1.50Average in Euro2023
Performing arts within 5 kmProximity1Average number2023
Performing arts within 10 kmProximity6Average number2023
Performing arts within 20 kmProximity22Average number2023
Pop venue distanceProximity10Average number2023
Cinema distanceProximity8.90Average in Euro2023
Cinemas within 5 kmProximity0Average number2023
Cinemas within 10 kmProximity3Average number2023
Cinemas within 20 kmProximity10Average number2023
Sauna distanceProximity3Average number2023
Tanning salon distanceProximity1Average number2023
Attraction distanceProximity8.10Average in Euro2023
Attractions within 10 kmProximity2Average number2023
Attractions within 20 kmProximity9Average number2023
Attractions within 50 kmProximity50Average number2023
Fire station distanceProximity1Average number2023

Table with more than 250 topics for the neighbourhood Pekingpark.

The table below shows the latest available data for the neighbourhood Pekingpark 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.
  • Navigate through the table using the buttons at the bottom right of the table.
  • 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