Available exposure data

We can provide access to a wide variety of environmental (exposure) data. The list of currently available variables can be found below. This list is continuously being updated.

 

Please download / read the GECCO data access and publication policy first, and then send the completed GECCO Data Access Request Form to gecco@vumc.nl. 

 

Click on the hyperlinks under the Theme column in the table to download the complete meta-data form. Superscripted letters indicate the format of available data: * =Terms and conditions may apply via the original source holders / T= Data available as table data only, converted to GIS data on request / G=Data available as GIS data, extracted to table data on request / GT= Data available as GIS AND table data. Note that the scale level of the available data is indicated with different colors:

 

Address

PC6

100 x 100 m

PC4 / neighborhood

1000 x 1000 m

 

THEME

 

SPATIAL SCALE

PERIOD

ORIGINAL SOURCE HOLDER*

COMMENTS

Air pollution (Escape)T

 

Address, PC6

2009

Institute of Risk Assessment Sciences (IRAS), European Study of Cohort for Air Pollution Effects (ESCAPE)

Annual average outdoor air pollution concentrations (e.g., NO2, NOx, PM2.5, PM10, PM2.5 absorbance)

Air pollution (Escape)T

 

Neighborhood

2009

Institute of Risk Assessment Sciences (IRAS), European Study of Cohort for Air Pollution Effects (ESCAPE)

Annual average outdoor air pollution concentrations (e.g., NO2, NOx, PM2.5, PM10, PM2.5 absorbance)

Air pollutionG

   PM2.5

   PM10

   NO2

   SOOT (EC)

 

 

Address, PC6

(25 m raster)

2013, 2014, 2015, 2016, 2017

(NO2 not for 2013)

Institute for Public Health and the Environment (RIVM), Atlas Leefomgeving (ALO), http://www.atlasleefomgeving.nl

Annual average outdoor pollution concentrations modeled / interpolated on  the basis of measurement data, traffic data and the physical environment. All data can be viewed in https://www.atlasleefomgeving.nl/kaarten

Air pollution GCNG

   C6H6 (benzeen)

   CO (koolmonoxide)

   CO (koolmon. p98)

   PM2.5 (fijnstof)

   PM10 (fijnstof)

   NH3 (ammoniak)

   NO2 (stikstofdioxide)

   NOx (stikstofoxiden)

   O3  (ozon)

   SOOT (EC - roet)

   SO2 (zwaveldioxide)

 

 

1x1 km

 

2011-2018 (C6H6)

2011-2018 (CO)

2011-2018 (CO)

2007-2018 (PM2.5)

1995-2018 (PM10)

2011-2018 (NH3)

1995-2018 (NO2)

2011-2018 (NOx)

2011-2018 (O3)

2011-2018 (SOOT – EC)

2011-2018 (SO2)

Institute for Public Health and the Environment (RIVM).  GCN large scaled concentration and deposition maps

Annual average outdoor pollution concentrations based on a combination of model calculations and measurements from official measurement locations. SOOT (EC) maps must be seen as indicative only.

 

Apart from ‘benzeen’ (C6H6) and ‘koolmonoxide’ (CO) modeled future concentrations of all variables are available for the years 2020, 2025 and 2030.

AccessibilityT

 

PC4

1998 till 2003 (yearly),

2005

ABF Research (SWING Vastgoedmonitor
2007)

Data on accessibility (e.g., number of jobs and green spaces that can be reached via the road or by train within a certain time (15, 30, 45, 60 minutes)

Accessibility of populationT
Accessibility of householdsT

 

PC4

2013

ABF Research (Real Estate Monitor 2015)

Data on accessibility of population and households (e.g., number of individuals and households that can be reached  by  bike or by  car  within  a  certain  time  (15, 30,45,60 minutes)

Altitude (AHN)G

 

Address, PC6

(raster 50 cm – 25 m)

 

Ca. 2000 (AHN 1)

Ca. 2010 (AHN 2)

Ca. 2018 (AHN 3)

Cooperation of provinces, central
government and water boards

The altitude map of the Netherlands is a raster product available on different horizontal scale levels  ranging from  25 meter resolution (AHN-1) to 50 cm resolution (AHN-3)

Basisregistratie Adressen en Gebouwen (BAG)G

 

Address, PC6 1:2.500

(vector – point/polygon)

2015

Kadaster

Vector dataset with houses, addresses and attribute data on utilization functions, construction year and area.

Bicycle paths BGT and TOP10G

 

Address, PC6

1:5.000 - 1:10.000
(vector – polygon)

2019

Kadaster

Selections from polygons in the BGT and lines in the TOP10 concerning respectively separate bicycle paths (BGT),  designated bicyle lanes or mixed roads (TOP10)

Bicycle path densityG

 

Neighborhood

2019 (for neighborhood boundaries 2016)

Landelijk Fietsplatform, Kadaster

This dataset combines bicycle paths from two lines sources (TOP10 and Landelijk fietsplatform) and one polygon input source (BGT). All data is transformed to polygons and summarized as area density per neighborhood.

Bicycle and walking networksG

 

Address, PC6

1:10.000 (vector - line)

2019 (continuously updated by provider)

Landelijk Fietsplatform and Wandelnet
via https://www.routedatabank.nl

These datasets include cycling and walking routes,  networks and transport nodes and are based on TOP10 NL road data.

Childcare facilitiesT

 

PC4

2011 till 2015 (yearly)

National Childcare and Playgroup Register
(Real Estate Monitor 2015)

Data on a range of childcare facilities (e.g., number of KDV’s, BSO’s and playgroups)

Cultural facilitiesT

 

PC4

2001 till 2007 (yearly)

Museum Association (SWING Vastgoed-

monitor 2007) Netherlands Theatre Institute (SWING Vastgoedmonitor 2007) Dutch Federation for Cinematography (SWING Vastgoedmonitor 2007) Adresdata / ABF Research (Real Estate Monitor 2015)

Data on a range of cultural facilities (e.g.,  number   of   museums, theatres, poppodia  and cinema’s)

Educational facilitiesT

 

PC4

1996 till 2007 (yearly)

Centrale Financiën Instellingen (CFI) (SWING Vastgoedmonitor 2007)

Data on educational facilities (e.g., number of educational  facilities  and number  of students stratified for educational level, sex, and age)

Food environment healthiness-indexG

 

Neighborhood

2016

LOCATUS

Index score (food environment healthiness index) between -5 and + 5 according to FEHI score list by Poelman et al., 2018. The data is aggregated to neighbourhoods using point density kernels to prevent MAUP (Modifiable Areal Unit Problem) issue.

Green spaceG

   Green space

   Trees

   Tree height

   Shrubs

   Low vegetation

 

Address, PC6

(10 m raster)

2017

Institute for Public Health and the Environment (RIVM), Atlas Leefomgeving (ALO), http://www.atlasleefomgeving.nl

Different datasets related to green space were assembled by the RIVM on a 10x10 meter resolution  expressed as percentage green, trees, shrubs or low vegetation per grid cell and is derived from the AHN2 and AHN3 files (“Actueel Hoogtebestand Nederland”, resolution of 0.5 m), the BAG buildings (“Basisregistratie Adressen en Gebouwen”) and the Infrared aerial photo (CIR file, resolution of 0.25 m).

Green space densityGT

 

Address, PC6,

PC4, 25 m raster and neighborhood

 

1989, 1993, 1996, 2000, 2003, 2006, 2008, 2010, 2012, 2015

Statistics Netherlands (CBS)

Greenspace density as Z-scores based on CBS soilstatistics (BBG bodemgebruiksbestanden). The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Health care facilitiesT

 

PC4

2003-2007 (yearly)

Vestigingen en bedden in de zorg (SWING Vastgoedmonitor 2007)

Data on health care facilities

(e.g., number of several specific health care facilities)

House transactions and average house pricesT

 

 

PC4

2000 till 2015 (yearly)

 

Kadaster (Real Estate Monitor 2015)

 

Data on transactions and average house prices (e.g., number of transactions stratified for house type, and average house price stratified for house type)

Housing benefitsT

 

PC4

1998 till 2006 (yearly)

Belastingdienst (SWING Vastgoedmonitor 2007)

Data on housing benefits (e.g.,   data on recipients  and   height/sum   of   housing benefits)

Housing stockT

 

PC4

1998 till 2007 (yearly)

ABF Research (SYSWOV 2007)

Data on housing stock. (e.g.,  number  of owner-occupied  and  rental  housing, social rent, and housing stock stratified for house type)

IncomeT

 

PC4

2009, 2012

Statistics Netherlands (CBS)

Data on income (e.g., disposable income, capital and households in PC4 areas)

Key statistical figuresG

 

100x100 m.
(‘CBS vierkantstatistie-ken’) PC6 / PC4

2011 till 2018 (yearly)

2000 till 2018

Statistics Netherlands (CBS)

The CBS dataset vierkantstatistieken contains basic statistics on number of inhabitants, dwellings, residential density and urbanity for all years and additional statistics from 2011 onwards including densities of and distances to several destination types. Number of available variables in postcode 4 and 6 areas depends of exact year.

Key statistical figuresT

 

PC6

2004, 2010

Statistics Netherlands (CBS)

Data on key figures (e.g., demographics, income, immigrants, housing stock)

Key statistical figuresG

 

PC4

1998 till 2017 (yearly)

Statistics Netherlands (CBS)

Data on key figures (sex and age of inhabitants,  household composition, % immigrants) with additional statistics from 2015 onwards

Land useG

 

Address, PC6

1:10.000
(vector – polygon)

1996, 2000, 2008, 2010, 2012, 2015

Statistics Netherlands (CBS)

Classification in 9 main land use classes and ca. 40 subclasses. Land use data also exists for 1989, 1993, 2003 and 2006. These datasets can be requested at CBS.

Land use mix / entropy indexGT

 

Address, PC6,

PC4, 25 m raster and neighborhood

 

1989, 1993, 1996, 2000, 2003, 2006, 2008, 2010, 2012, 2015

Statistics Netherlands (CBS)

Land use mix or entropy index as Z-scores based on CBS soilstatistics (BBG bodemgebruiksbestanden). The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Land useT

 

PC4

1996 till 2003 (yearly)

Statistics Netherlands (CBS)

Data on land use (e.g.,  hectares/percen-tages  of  urban/rural  land  use, green  spaces,  forests,  parks  traffic,  public  facilities, recreational areas, etc)

LivabilityT

 

PC4

1998, 2002, 2006, 2008, 2010, 2012

Dutch Ministry of the Interior and Kingdom Relations

Data on livability (Livability  scores  are based on population, social cohesion, public space, safety, level of resources, and housing)

Living environment typologyT

 

PC4

2006, 2015

ABF Research (SWING Vastgoedmonitor 2007)
Strabo – Bureau voor Ruimtelijk Marktonderzoek (Real Estate Monitor 2015)

Data on area types (e.g., center - urban, outside center, green-urban)

Neighbourhood characteristicsG

 

 

Neighbourhood

 

1995, 1997, 1999, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

 

Statistics Netherlands (CBS)

 

Data on neighbourhood characteristics. This concerns data on for example urbanization, population, living, energy consumption, education, labor, income, social security, businesses, motor vehicles, area, land use, average distance to specific facilities, and average number of specific facilities within a radius around occupied addresses in a neighbourhood).

We have also neighborhood maps of 1988, 1993 and 1994, but these lack statistical data.

Noise railways 2016G

 

Address, PC6

2016

Ministery of I&W

Data only available for ‘hoofdspoornet’ (main railway system)

for day and night (noise in Lden)

Noise Schiphol  airport 2016G

 

Address, PC6

2016 (measurement period
nov. 2015-nov. 2016)

Ministery of I&W

Separate data available for day and night (noise in Lden)

Noise traffic - daily mean (mixed road, rail and air)T

 

 

Address, PC6, PC4

2000, 2004, 2005, 2007

and 2008

PBL Netherlands Environmental Assessment Agency

Modeled data with Empara noise tool with 25x25 m resolution on traffic noise (mixed road, rail and air traffic noise in dB) in 2000, 2004, 2005, 2007 and 2008.

Noise traffic - daily mean (road only)T

 

 

Address, PC6, PC4

2000, 2004, 2007, 2008,

2010 and 2011

PBL Netherlands Environmental Assessment Agency

Modeled data with Empara noise tool with 25x25 m resolution on road noise in dB in 2000, 2004, 2005, 2007, 2008, 2010 and 2011. Several factors are accounted including traffic intensity, road types and sound barriers.

Noise traffic - national roadsG  (highways)

 

Address, PC6

2006, 2011 and 2016

Rijkswaterstaat

Separate data available for day and night (noise in Lden)

Offices, retail, and businessesT

 

PC4

1990 till 2014 (yearly)

VROM – DG Ruimte/IBIS (SWING Vastgoedmonitor 2007)
Strabo   Bureau  voor  Ruimtelijk  Marktonderzoek  (SWING  Vastgoedmonitor 2007)

Data on offices, retail, and businesses

(e.g.,  number  of  leased  and  owned  properties  and price/m2)

 

Parking densityG

 

Neighborhood

2019

Kadaster / RDW

Derived from dataset ‘Parking places’. Statistical summaries have been made for the neighborhood borders of 2016. Variables include: total number of parking places, number of parking places per household, number of parking places per hectare, ratio number of cars / number of parking places.

Parking placesG

 

Address, PC6

1:2.500 – 1:10.000

2019 (public/paid parking space)
2015 (private built-up parking space)

Kadaster / RDW

This dataset is a combination of data from the BGT, TOP10, BAG and RDW. The BAG data for private built-up parking spaces concerns the year 2015, the other data concerns 2019. Data is produced as polygon data and as derived point data.

Population and HouseholdsT

 

PC4

1998 till 2014 (yearly)

Statistics Netherlands (CBS)

Data on population and households (e.g., number of men and women stratified for age, number of households stratified for type, and information on immigrants)

Population densityGT

 

Address, PC6,

PC4, 25 m raster and neighborhood

 

Yearly from 2000 to 2017
(100 m res.)

1995, 1997, 1999 (neighborhood res.)

Statistics Netherlands (CBS)

Population density as Z-scores based on CBS vierkantstatistieken (100x100 meter grid) for the years 2000 until 2017 and CBS buurtstatistieken for the years 1995, 1997 and 1999. The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Post officesT

 

PC4

2005

Postkantoren B.V. (SWING Vastgoedmonitor 2007)

Data on post offices (e.g., number of post offices (per 10000 residents))

PovertyG

 

PC4 / neighbourhood

2017

The Netherlands Institute of Social Research (SCP)

Percentage of ‘poor’ people according to SCP definitions per postcode 4 area and neighborhood in 2017

Primary educationT

 

PC4

2001 till 2015 (yearly)

The Education Executive Agency of the Dutch Ministry of Education, Culture, and Science (Real Estate Monitor 2015)

Data on facilities regarding  primary education. (e.g.,  number  of  schools  and  number/percentage  of pupils stratified for age and sex)

Public transport stopsG

 

Address, PC6
(points)

2015 (update 2018)

Geodienst Rijksuniversiteit Groningen /  databank Nationale Data Openbaar Vervoer (NDOV)

This is a point dataset with all public transport stops in the Netherlands (bus, ferry, metro, taxi, tram). Train stations are not part of this dataset. Public transport data is also available via OpenStreetMap, but less complete.

Railway stations / lines G

 

Address, PC6
(points/ lines)

2019

Prorail Database – made available by Esri Nederland Datasets.

This is a point and line dataset with respectively all railway stations in the Netherlands classified in different station types and the route network of all railways.

Retail and service destinations
density
GT

 

Address, PC6, PC4,

25 m raster and neighborhood

 

1989, 1993, 1996, 2000, 2003, 2006, 2008, 2010, 2012, 2015

Statistics Netherlands (CBS)

Retail and service destinations density as Z-scores based on CBS soilstatistics (BBG bodemgebruiksbestanden). The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Retail outletsT

 

PC4

2004 till 2019 (yearly)

Locatus

Various exposure measures on retail outlets specific for category of retail (e.g., fastfood outlets, supermarkets, greengrocers)

Road densityG

 

Neighbourhood

2015

Kadaster

The (car)road density is derived from the dataset TOP10 NL 2015 (line feature layer WEGDEEL_HARTLIJN).

Road speed – national roadsG

 

Address, PC6
(lines)

2004-2012 (yearly)

2013-current (monthly)

Rijkswaterstaat, Ministry of Infrastructure and Water Management; WEGGEG-bestand RWS

This dataset contains the maximum speed per road section of the national roads

Road speed – all roads NWBG

 

Address, PC6
(lines)

2016-current (monthly)

Rijkswaterstaat, Ministry of Infrastructure and Water Management; WKD - WegKenmerken Database

This dataset contains the maximum speed limits per road section of all roads in the NWB (Nationaal WegenBestand)

Secondary educationT

 

PC4

2005 till 2015 (yearly)

The Education Executive Agency of the Dutch Ministry of Education, Culture, and Science (Real Estate Monitor 2015)

Data on facilities regarding secondary education. (e.g., number of schools,  and number/percentage of students stratified for sex, age, and educational level)

Side walk densityGT

 

Address, PC6, PC4,

25 m raster and neighborhood

 

1989, 1993, 1996, 2000, 2003, 2008, 2012, 2015, 2019

Kadaster

Side walk density as Z-scores based on Basisregistratie Grootschalige Topografie (BGT). The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Socio-economic statusT

 

PC6

2008

Statistics Netherlands (CBS)

Data on socio-economic status (e.g., high/low incomes, benefits)

Socio-economic status scoresG

 

PC4, neighborhood

PC4: 1998, 2002, 2006, 2010, 2014, 2016, 2017
Neighborhood: 2016

The Netherlands Institute of Social Research (SCP)

Socio-economic status scores (Socio-economic scores are based on: education,  income and position in the labor market)

Special educationT

 

PC4

2004 till 2015 (yearly)

The Education Executive Agency of the Dutch Ministry of Education, Culture, and Science (Real Estate Monitor 2015)

Data on facilities regarding special education. (e.g., number of schools,  and number/percentage of students stratified for sex

Sport accommodationsG

 

Address, PC6

2011-2017 (data collection period)

Mulier Instituut

Point data on type and location of sport accommodations

Sport accommodationsT

Sport associationsT

Sport facilitiesT

 

 

PC4

2010 till 2015 (yearly)

2006 till 2015 (yearly)

2001 till 2007 (yearly)

Royal Dutch Athletics Federation (Real Estate Monitor 2015) Voetbalgids.com (Real Estate Monitor 2015)
Skibanen in Nederland (Real Estate Monitor 2015)
Royal Dutch skating Association (Real Estate Monitor 2015) ZwembadGids (Real Estate Monitor 2015)
Royal Dutch Baseball and Softball Federation (Real Estate Monitor 2015)
Royal Dutch Korfball Union (Real Estate Monitor 2015)
Royal Dutch Lawn Tennis Federation (Real Estate Monitor 2015)
Dutch Rugby Association (Real Estate Monitor 2015)
Voetbalgids.com (Real Estate Monitor 2015)
BSvL – Nederlandse Sport Almanak (NSA) (SWING Vastgoedmonitor 2007)

Data on sport accommodations, sport associations, and sport facilities (e.g., number of specific sport accommodations, sport associations and sport facilities).

 

Street connectivityGT

 

Address, PC6, PC4,

25 m raster and neighborhood

1989, 1993, 2001, 2003, 2012, 2015, 2019

Kadaster /  DANS-KNAW

Street connectivity as Z-scores based on TOP10 road intersection data. The address level data is produced for 8 different neighborhood radii (150-, 250-, 350-, 500-, 750-, 1000-, 1650 and 2000 meter).

Temperature (daily average, minimum and maximum) GT

 

1x1 km

1961-current (daily update)

KNMI (Koninklijk Nederlands Meteorologisch Instituut) DataCentrum

This dataset involves grid files of interpolated daily average temperature values for the Netherlands, based on 33-35 KNMI automatic observation stations.

From the available time period data was downloaded and converted to tif format and linked to PC6 centroids for the days from 1 October 2017 to 30 June 2018.

 

Topography (TOP10 NL -  Basisregistratie Topografie (BRT)G

 

Address, PC6

1:10.000

2003, 2005, 2010, 2011, 2012, 2013, 2015, 2019

Kadaster

Vektor data (points, lines, polygons) regarding road and water infrastructure, terrain features, built-up area, etc.

Note that specific data on roads is available in the NWB (Nationaal Wegen Bestand) from 1982 onwards.

Topography – large scale

(Basisregistratie Grootschalige Topografie - BGT)G

 

Address, PC6

1:5.000

2017, 2019

Kadaster

Vector dataset with detailed topographic features, such as sidewalks, parking places, tree locations, street furniture, etc.

Traffic incidentsG

 

Address, PC6

2003 t/m 2017

Bestand geRegistreerde Ongevallen
Nederland (BRON)

Provided via ESRI Nl datasets

Travel timeT

 

PC4

2011

Object Vision B.V.

 

Data on travel time between all PC4 areas

 

Walkability IndexGT

 

Address, PC6, PC4,
neighborhood

1989, 1993, 1996, 2000, 2003, 2006, 2008, 2010, 2012, 2015

 VUmc Amsterdam, GECCO project

Composite score based on six components: 1) Population density, 2) Density of retail and service destinations (retail environment), 3) Land-use mix, 4) Street connectivity (intersection density), 5) Green space, 6) Side walk surface area.

 

 * Terms and conditions may apply via the original source holders
 
T  Data available as table data only, converted to GIS data on request
 
G  Data available as GIS data, extracted to table data on request
GT Data available as GIS AND table data