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Air Quality e-Reporting (AQ e-Reporting)

Data
Prod-ID: DAT-3-en
Created 23 Mar 2018 Published 25 Apr 2018 Last modified 15 Dec 2021
14 min read
This is an old version, kept for reference only.

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This page was archived on 30 Sep 2021 with reason: Other (New version data-and-maps/data/aqereporting-9 was published)
European air quality information reported by EEA member countries, including all EU Member States, as well as EEA cooperating and other reporting countries. The EEA’s air quality database consists of a multi-annual time series of air quality measurement data and calculated statistics for a number of air pollutants. It also contains meta-information on the monitoring networks involved, their stations and measurements, as well as air quality zones, assessment regimes and compliance attainments reported by the EU Member States and European Economic Area countries.

European data

Assessment methods meta-data reported by countries (data flow D)

Assessment methods meta-data describe technical facilities used for the measurement of each pollutant or one of its compounds. The data in the web-based application (AIDE D) reflect the latest reports uploaded and successfully tested by automated QC.

[+] Show table definition

  • Assessment methods meta-data (data set D):
Field nameDescriptionData type
Country or terrritory Country or territory name. string
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
Network Name of air quality measurement network, given by data provider. string
Responsible Party Name of responsible authority, institution or body. string
Time Zone Time zone in which aggregations and statistics are calculated (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/timezone). string
Station Name Name of air quality measurement station (as in AirBase), given by data provider. string
EoI Station Code EoI code of air quality measurement station (as in AirBase), given by data provider. string
Station Type Type of Air Quality Measurement Station - information whether it is measuring background, industrial or traffic related air pollution (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/stationclassification). string
Station Area Area of Air Quality Measurement Station - information whether it is measuring air pollution in urban, suburban, rural (etc.) environment (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/areaclassification). string
Pollutant Air polluting substance, level of which is measured and reported to the EEA (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant).

string
Sampling Point Local Id Inspire identifier (Local Id) of sampling point, given by data provider. string
Latitude Latitude of air quality measurement station [decimal degrees]. numeric
Longitude Longitude of air quality measurement station [decimal degrees]. numeric
Altitude Altitude of air quality measurement station [m a.s.l.]. numeric
Measurement Regime Information on measurement regime (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/inspire/MeasurementRegimeValue). string
Operational Activity Begin Begin date of observation constellation (sampling point, sample, sampling process and property/pollutant). datetime
Operational Activity End End date of observation constellation (sampling point, sample, sampling process and property/pollutant). datetime
Sample Local Id Inspire identifier (Local Id) of sample (Feature of Interest), given by data provider. string
Sampling Process Local Id Inspire identifier (Local Id) of sampling process (procedure), given by data provider. string
Measurement Equipment Information on equipment used for measuring air polluting substances (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/measurementequipment). string
Measurement Method Information on method used for measuring air polluting substances (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/measurementmethod). string
Sampling Equipment Information on sampling equipment (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/samplingequipment). string
Analytical Technique Information on analytical technique (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/analyticaltechnique). string
Envelope URL URL of CDR envelope where source data (country report) is located. string
  • Air quality assessment methods (AIDE D)
    Download file
Air quality annual statistics calculated by the EEA

The annual aggregated air quality values have been calculated by EEA based on the primary observations (time series) uploaded by countries into CDR and successfully tested by automated QC.

[+] Show table definition

  • Air Quality annual statistics:
Field nameDescriptionData type
Country Or Territory Country or territory name. string
Reporting Year Year for which primary data have been reported/ statistics were calculated. numeric
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
Station Local Id Inspire identifier (Local Id) of air quality measurement station, given by data provider. string
Sampling Point Local Id Inspire identifier (Local Id) of sampling point, given by data provider. string
Sampling Point Latitude Latitude of sampling point [decimal degrees]. numeric
Sampling Point Longitude Longitude of sampling point [decimal degrees]. numeric
Pollutant Air polluting substance, level of which is measured and reported to the EEA (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant). string
Aggregation Type Information about process of data aggregation into annual values (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/aggregationprocess). string
AQ Value Concentration or level of air polluting substance, here given as an aggregation of air pollutant concentration values from primary observation time series. numeric
Unit Unit of concentration or level of air polluting substance (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/uom/concentration). string
Begin Position Date time begin of measurement (time zone as defined for the air quality network). datetime
End Position Date time end of measurement (time zone as defined for the air quality network). datetime
Validity Validity flags based on Data Capture, data are 'not valid' if Data Capturestring
Verification Information based on verification flags found in reported time series (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/observationverification). string
Data Coverage Proportion of valid measurement included in the aggregation process within averaging period, expressed as percentage. If Data Coverage < 75% for averaging period of a year, annual statistics should not be included in air quality assessments, if Data Coverage < 85% (in a year), annual statistics should not be included in compliance checks. numeric
Data Capture Proportion of valid measurement time relative total measured time (time coverage) in averaging period, expressed as percentage. numeric
Time Coverage Proportion of total measured time, calculated from start and end time of observation, within the full averaging period, expressed as percentage. numeric
Update Time Time of the latest update of the calculated statistics. datetime
  • Air quality annual statistics (AIDE F)
    Download file
Air quality time series (E1a & E2a data sets)

These data sets have been exported from EEA’s SQL data base which stores primary validated assessment data and primary up-to-date assessment data (time series, data sets E1a and E2a, respectively) reported by countries and successfully tested by automated QC.

[+] Show table definition

  • Air Quality annual statistics:
Field nameDescriptionData type
Countrycode Country or territory ISO2 code. string
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
AirQualityNetwork Inspire identifier (Local Id) of air quality measurement network, given by data provider.  string
AirQualityStation Inspire identifier (Local Id) of air quality measurement station, given by data provider. string
AirQualityStationEoICode EoI code of air quality measurement station (as in AirBase). string
Sampling Point Inspire identifier (Local Id) of sampling point, given by data provider. string
SamplingProcess Inspire identifier (LocalId) of sampling process (procedure), given by data provider. string
Sample Inspire identifier (LocalId) of sample (featureofinterest), given by data provider. string
AirPollutant Air polluting substance, level of which is measured and reported to the EEA (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant). string
AirPollutantCode Air polluting substance, level of which is measured and reported to the EEA (see id in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant). string
AveragingTime Averaging time/frequency of reported air quality values (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/primaryObse rvation). string
Concentration Measured concentration of air polluting substance. numeric
UnitOfMeasurement Unit of concentration of air polluting substance (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/uom/concentrat ion). string
DatetimeBegin Date-time begin of measurement (UTC+1 for hourly data and original time zone for other averaging times). datetime
DatetimeEnd Date-time end of measurement (UTC+1 for hourly data and original time zone for other averaging times). datetime
Validity Information about data validity, given by data provider (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/observationvalidity). numeric
Verification Information whether data have been verified by data provider (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/observationverification). numeric
  • Air quality time series (E1a & E2a data sets)
    Download file
Air quality zones information reported by countries (data flow B)

Air quality zones information describes delimitation and type of zones and agglomerations in which the assessment and management of air quality is to be carried out. The data in the web-based application (AIDE B) reflect the latest reports uploaded and successfully tested by automated QC.

[+] Show table definition

  • Air quality zones (data set B):
Field nameDescriptionData type
Country or territory Country or territory name. string
Reporting Year Year for which air quality zone has been reported. numeric
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
Zone Code Identifier of air quality zone, given by data provider. string
Zone Id Inspire identifier (Local Id) of air quality zone, given by data provider. string
Geographical Name Geographical Name of air quality zone string
Begin Time Begin time of air quality zone. datetime
End Time End time of air quality zone. datetime
AQD Zone Type Air quality zone type (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/zonetype). string
Pollutant Air polluting substance (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant) for which the zone is valid.

string
Protection Target Protection target (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/protectiontarget) for which the zone is valid. string
Resident Population Number of population residing in the air quality zone. numeric
Resident Population Year Reference year the resident population number. numeric
Area Area of the air quality zone. numeric
Time Extension Exemption Type of time extension granted for the zone (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/timeextensiontypes). string
Competent Authority Name of responsible authority, institution or body. string
Telephone Telephone number of competent authority. string
Address Address of competent authority. string
Website Website of competent authority. string
Envelope URL URL of CDR envelope where source data (country report) is located. string
  • Air quality zones information (AIDE B)
    Download file
Air quality assessment regimes reported by countries (data flow C)

This data set describes air quality assessment regimes applied for each pollutant within individual zones and agglomerations. The data in the web-based application (AIDE C) reflect the latest reports uploaded and successfully tested by automated QC.

[+] Show table definition

  • Air quality assessment regimes (data set C):
Field nameDescriptionData type
Country or territory Country or territory name. string
Reporting Year Year for which air quality zone has been reported. numeric
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
Assessment Id Inspire identifier (Local Id) of air quality assessment regime, given by data provider. string
Zone Id Inspire identifier (Local Id) of air quality zone, given by data provider. string
Pollutant Air polluting substance (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant) for which the zone is valid.

string
Protection Target Protection target (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/protectiontarget) for which the zone is valid. string
Objective Type Objective type (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/objectivetype) for which the air quality assessment regime has been reported. string
Reporting Metric Reporting metric (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/reportingmetric) for which the air quality assessment regime has been reported. string
Exceedance Attainment Status of assessment threshold exceedance (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/assessmentthresholdexceedance) reported with the assessment regime. string
Assessment Type Type of air quality assessment regime (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/assessmenttype). string
Description Free text description of the type of assessment regime. string
Classification Date Issue date of the classification report. string
Classification Report Web link to the classification report. string
Sampling Point Id Inspire identifier (Local Id) of sampling point, given by data provider/ link to assessment method. string
Model Id Inspire identifier (Local Id) of air quality model, given by data provider/ link to assessment method. string
Envelope URL URL of CDR envelope where source data (country report) is located. string
  • Air quality assessment regimes (AIDE C)
    Download file
Attainments of (air quality) environmental objectives reported by countries (data flow G)

This data set shows the attainment status of the air quality environmental objectives set in the European legislation as delivered by countries for each pollutant within individual zones and agglomerations. The data in the web-based application (AIDE G) reflect the latest reports uploaded and successfully tested by automated QC.

[+] Show table definition

  • Air quality attainments (data set G):
Field nameDescriptionData type
Country or territory Country or territory name. string
Reporting Year Year for which air quality zone has been reported. numeric
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
Attainment Id Inspire identifier (Local Id) of attainment, given by data provider. string
Assessment Id Inspire identifier (Local Id) of air quality assessment regime, given by data provider. string
Zone Id Inspire identifier (Local Id) of air quality zone, given by data provider. string
Resident Population Number of population residing in the air quality zone for which the attainment has been reported. numeric
Pollutant Air polluting substance (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant) for which the zone is valid.

string
Protection Target Protection target (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/protectiontarget) for which the zone is valid. string
Objective Type Objective type (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/objectivetype) for which the air quality assessment regime has been reported. string
Reporting Metric Reporting metric (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/reportingmetric) for which the air quality assessment regime has been reported. string
Exceedance Final Final (after adjustment) status of exceedance: true/false. string
Exceedance Threshold Exceedance threshold for environmental objective (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabularyconcept/aq/environmentalobjective) for which the attainment has been reported. string
Aggregation Type Information about process of data aggregation into annual values (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/aggregationprocess). string
Final Numerical Exceedance Final (after adjustment) level of air pollution in exceedance. numeric
Final Number Exceedances Final (after adjustment) number of exceedances. numeric
Classification Area Classification of the area of exceedance (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/areaclassification). string
Surface Area Final Area extent where exceedance occurred (after adjustment). numeric
Road Length Final Length of road where exceedance occurred (after adjustment). numeric
Population Exposed Final Number of population exposed to exceedance (after adjustment). numeric
Sensitive Population Final Number of sensitive population exposed to exceedance (after adjustment). numeric
Ecosystem Area Exposed Ecosystem area extent where exceedance occurred (after adjustment). numeric
Infrastructure Services Final Infrastructure services exposed to exceedance (after adjustment). string
Reference Year Final Reference year for final exceedance (after adjustment). numeric
Base Numerical Exceedance Level of air pollution in exceedance (before adjustment). numeric
Base Number Exceedances Number of exceedances (before adjustment). numeric
Adjustment Indicates if adjustment has been applied (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/adjustmenttype). string
Adjustment Source Reason for adjustment (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/adjustmentsourcetype). string
Adjustment Type Type of adjustment applied (see in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/adjustmenttype). string
Assessment Type Type of air quality assessment regime (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/assessmenttype). string
Assessment Type Description Free text description of the type of assessment regime. string
Model Id Inspire identifier (Local Id) of air quality model, given by data provider/ link to assessment method. string
Sampling Point Id Inspire identifier (Local Id) of sampling point, given by data provider/ link to assessment method. string
Comment Free text comment on attainment. string
Envelope URL URL of CDR envelope where source data (country report) is located. string
  • Air quality attainments (AIDE G)
    Download file
Air quality zone geometries reported by countries (data flow B)

The air quality zone geometries are available in several spatial formats (ESRI Shapefile, SpatialLite, ESRI File Geodatabase, Google Earth KML) as well as an attribute table in Excel. The data reflect the latest reports uploaded and successfully tested by automated QC.

[+] Show table definition

  • Air quality zones (data set B):
Field nameDescriptionData type
OBJECTID Id (internal) of the zone geometry. numeric
ZoneId Inspire identifier (Local Id) of air quality zone, given by data provider. string
CountryOrTerritory Country or territory name. string
ISO2 Country or territory ISO2 code. string
Namespace Inspire identifier/namespace of reporting entity, given by data provider. string
ProtectionTarget Protection target (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/protectiontarget) for which the zone is valid. string
Pollutant Air polluting substance (see notation in Data Dictionary: http://dd.eionet.europa.eu/vocabulary/aq/pollutant) for which the zone is valid.

string
UpdateTime Indicates the time of the latest update of geometry. datetime
SHAPE_Length Length of zone geometry perimeter [m]. numeric
SHAPE_Area Area of zone geometry [m2]. numeric
  • Air Quality Zones Feature Download Service
    Download file

Additional information

AQ e-Reporting products on EEA Data Service

This set of products reflects the current, live status of air quality data collected/calculated by the European Environment Agency. Please read the product description document for more details.

  • AQeReporting_products_2018.pdf (PDF document - 619 KB)
    Download file

Metadata

information.png Reporting obligations (ROD)
information.png Rights:
EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Commission.
information.png Data sources

Air quality information based on national reports from EEA member and cooperating countries.

information.png Owners:
European Commission
information.png Processors:
European Environment Agency (EEA)

Additional information

Users of the data are advised to pay attention to the validation and verification flags associated with the raw data and aggregated statistics as well as to the information on data coverage. References to these concepts can be found within the documentation AQeReporting_products_2018.pdf


DISCLAIMER: web applications accessible through this page are connected live with EEA's databases and available data and are under constant improvement. Please make sure that all data you need for your analysis/assessments from the different viewers are downloaded within the same day and proper versioning is maintained on your side.
DISCLAIMER: despite constant improvement of the quality of data collected within new reporting procedures for air quality information, still inconsistencies, incompleteness and/or errors cannot be ruled out. EEA would appreciate if any possible problems are brought to our attention.
 

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Dashboard (Tableau) Italy - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Liechtenstein - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Lithuania - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Luxembourg - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Netherlands - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Norway - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Poland - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Portugal - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Romania - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Serbia – air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) France - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Slovakia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Slovenia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Spain - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Germany - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Bosnia and Herzegovina – air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Austria – air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Bulgaria - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Croatia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Cyprus - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Czechia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Malta - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Denmark - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Estonia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Latvia - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.
Dashboard (Tableau) Finland - Air pollution country fact sheet A significant proportion of Europe's urban population lives in cities where EU air quality standards for the protection of human health are regularly exceeded. Air pollution continues to have significant impacts on the health of Europeans, particularly in urban areas. These health impacts have economic costs, cutting short lives, increasing medical costs and reducing productivity through lost working days. The pollutants with the most serious impacts on human health are particulate matter, nitrogen dioxide and ground-level ozone.

Interactive maps produced

Produced Indicators

Assessment Part
Archived
Is air pollution from the transport sector decreasing in Europe?
Assessment Part Which areas in Europe remain most affected by eutrophication, acidification and ground-level ozone?
Assessment Part What progress is being made towards targets for the reduction of ecosystem exposure to acidification, eutrophication and ozone in Europe?
Assessment Part
Archived
What progress is being made in bringing concentrations of air pollutants in urban areas below the limit values (for particulate matter and nitrogen dioxide) or the target values (for particulate matter and ozone) defined in air quality legislation?
Assessment Part
Archived
What percentage of the European urban population is exposed to pollutant concentrations above the regulated thresholds?
Assessment Part
Archived
Is air pollution from the transport sector decreasing in Europe?
Assessment Part What percentage of the European urban population is exposed to pollutant concentrations above the regulated thresholds?
Assessment Part Which areas in Europe remain most affected by eutrophication, acidification and ground-level ozone?
Assessment Part What progress is being made towards targets for the reduction of ecosystem exposure to acidification, eutrophication and ozone in Europe?

Produced figures

Figure Relative changes (%) in PM10 concentrations attributed to lockdown restrictions during April 2020 The dots represent measurements stations, where the changes have been estimated using UTD monitoring data and the generalized additive model (GAM). The background shading represents the changes estimated using CAMS chemical transport modelling with an emission inventory estimated for the lockdown conditions.
Figure Relative changes (%) in NO2 concentrations attributed to lockdown restrictions during April 2020 The dots represent measurements stations, where the changes have been estimated using UTD monitoring data and the generalized additive model (GAM). The background shading represents the changes estimated using CAMS chemical transport modelling with an emission inventory estimated for the lockdown conditions
Figure Trends for the 93.2 percentile of the O3 maximum daily 8-hour mean concentrations (2009-2018) The map shows trend analysis considering the 93.2 percentile of O3 maximum daily 8-hour concentrations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends
Figure Trends in O3 indicator AOT40 for vegetation and crops (2009-2018) The map shows trend analysis considering the ozone indicator AOT40 for vegetation calculated at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends
Figure Trends for the 99.8 percentile (p99.8) of the NO2 hourly concentration value (2009-2018) The map shows trend analysis considering 99.8 percentile (p99.8) of the NO2 hourly concentrations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure SOMO35 trends (2009-2018) The map shows trend analysis considering the ozone indicator SOMO35 calculated at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure Trends in SO2 annual mean concentrations (2009-2018) The map shows trend analysis considering SO2 annual mean observations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure Trends in NO2 annual mean concentrations (2009-2018) The map shows trend analysis considering NO2 annual mean observations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure Annual mean NO2 concentrations Observed concentrations of NO2 in 2019. The data presented were reported as up-to-date (UTD) data and therefore should be considered as not validated. They are used for the purpose of providing a preliminary assessment of the situation in 2019 in relation to the NO2 annual limit value. Triangles in the last two colour categories correspond to values above the EU annual limit value and the identical WHO AQG (40 μg/m3). Only stations with more than 75 % of valid UTD data have been included in the map.
Figure Trends in PM2.5 annual mean concentrations (2009-2018) The map shows trend analysis considering PM2.5 annual mean observations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure Trends for the 90.4 percentile of PM10 daily concentration values (2009-2018) The map shows trend analysis considering the 90.4 percentile of PM10 daily observations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends
Figure Annual mean SO2 concentrations in 2018 Observed concentrations of SO2 in 2018. The map shows the SO2 annual mean, which is not related to any legal standard, for comparison purposes. Only stations with more than 75 % of valid data have been included in the map.
Figure Trends in PM10 annual mean concentrations (2009-2018) The map shows trend analysis considering PM10 annual mean observations at monitoring sites. The coloured squares represent stations with "significant" trends, while the black dots represent stations with “non-significant” trends.
Figure Annual concentrations of PM10 in 2018 Observed concentrations of PM10 in 2018. The possibility of subtracting contributions to the measured concentrations from natural sources and winter road sanding/salting has not been considered. Dots in the last two colour categories indicate stations reporting concentrations above the EU annual limit value (40 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO AQG for PM10 (20 μg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure 93.2 percentile of O3 maximum daily 8-hour mean in 2019 Observed concentrations of O3 in 2019. The data presented were reported as up-to-date (UTD) data and therefore should be considered as not validated. They are used for the purpose of providing a preliminary assessment of the situation in 2019 in relation to the O3 target value. The map shows the 93.2 percentile of the O3 maximum daily 8-hour mean, representing the 26th highest value in a complete series. It is related to the O3 target value. At sites marked with triangles in the last two colour categories, the 26th highest daily O3 concentrations were above the 120 μg/m3 threshold, implying an exceedance of the target value threshold. Please note that the legal definition of the target value considers not only 1 year but the average over 3 years. Only stations with more than 75 % of valid UTD data have been included in the map.
Figure Annual mean PM2.5 concentrations in 2019 Observed concentrations of PM2.5 in 2019. The data presented were reported as up-to-date (UTD) data and therefore should be considered as not validated. They are used for the purpose of providing a preliminary assessment of the situation in 2019 in relation to the PM2.5 annual limit value. Furthermore, the possibility of subtracting contributions to the measured concentrations from natural sources and winter road sanding/salting has not been considered. Triangles in the last two colour categories indicate stations reporting concentrations above the EU annual limit value (25 μg/m3). Triangles in the first colour category indicate stations reporting values below the WHO AQG for PM2.5 (10 μg/m3). Only stations with more than 75 % of valid UTD data have been included in the map.
Figure 90.4 percentile of PM10 daily concentrations in 2019 Observed concentrations of PM10 in 2019. The data presented were reported as up-to-date (UTD) data and therefore should be considered as not validated. They are used for the purpose of providing a preliminary assessment of the situation in 2019 in relation to the PM10 daily limit value. Furthermore, the possibility of subtracting contributions to the measured concentrations from natural sources and winter road sanding/salting has not been considered. The map shows the 90.4 percentile of the PM10 daily mean concentrations, representing the 36th highest value in a complete series. It is related to the PM10 daily limit value, allowing 35 exceedances of the 50 μg/m3 threshold over 1 year. Triangles in the last two colour categories indicate stations with concentrations above this daily limit value. Only stations with more than 75 % of valid UTD data have been included in the map.
Figure Rural concentration of the ozone indicator AOT40 for forest, 2018 Accumulated ozone exposure values for forest — over a threshold of 40 parts per billion (AOT40f) — for 2018, as calculated for the fusion maps and as measured at rural background stations.
Figure Rural concentration of the ozone indicator AOT40 for vegetation, 2018 Accumulated ozone exposure values for vegetation and crops — over a threshold of 40 parts per billion (AOT40c) — for 2018, as calculated for the fusion maps and as measured at rural background stations.
Figure Ozone indicator SOMO35 in 2018 The map represents the calculated concentrations of O3 (SOMO35) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure PM10 annual mean in 2018 The map represents the calculated concentrations of PM10 (annual mean) combining monitoring data with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual mean nickel concentrations in 2018 Observed concentrations of Ni in 2018. Dots in the last two colour categories correspond to concentrations above the target value. Only stations reporting more than 14 % of valid data have been included in the map.
Figure Annual mean lead concentrations in 2018 Observed concentrations of Pb in 2018. Dots in the last two colour categories correspond to concentrations above the EU annual limit value. Only stations reporting more than 14 % of valid data have been included in the map.
Figure Annual mean cadmium concentrations in 2018 Observed concentrations of Cd in 2018. Dots in the last two colour categories correspond to concentrations above the target value. Only stations reporting more than 14 % of valid data have been included in the map.
Figure Annual mean arsenic concentrations in 2018 Observed concentrations of As in 2018. Dots in the last two colour categories correspond to concentrations above the EU target value. Only stations reporting more than 14 % of valid data have been included in the map.
Figure Annual mean benzene concentrations in 2018 Observed concentrations of C6H6 in 2018. Dots in the last colour category correspond to concentrations above the limit value of 5 μg/m3. Dots in the first colour category correspond to concentrations under the estimated WHO RL (1.7 μg/m3). Only stations reporting more than 50 % of valid data have been included in the map.
Figure CO maximum daily 8-hour mean in 2018 Observed concentrations of CO in 2018. The map shows the CO maximum daily 8-hour mean. Dots in the last two colour categories correspond to values above the EU annual limit value and the WHO AQG (10 mg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean BaP concentrations in 2018 Observed concentrations of BaP in 2018. Dots in the first colour category correspond to concentrations under the estimated RL (0.12 ng/m3). Dots in the last colour category correspond to concentrations exceeding the 2004 Ambient Air Quality Directive target value of 1 ng/m3. Only stations reporting more than 14 % of valid data, as daily, weekly or monthly measurements, have been included in the map.
Figure Annual mean NO2 concentrations in 2018 Observed concentrations of NO2 in 2018. Dots in the last two colour categories correspond to values above the EU annual limit value and the identical WHO AQG (40 μg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure 93.2 percentile of O3 maximum daily 8-hour mean in 2018 Observed concentrations of O3 in 2018. The map shows the 93.2 percentile of the O3 maximum daily 8-hour mean, representing the 26th highest value in a complete series. It is related to the O3 target value. At sites marked with dots in the last two colour categories, the 26th highest daily O3 concentrations were above the 120 μg/m3 threshold, implying an exceedance of the target value threshold. Please note that the legal definition of the target value considers not only 1 year but the average over 3 years. Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean PM2.5 concentrations in 2018 Observed concentrations of PM2.5 in 2018. The possibility of subtracting contributions to the measured concentrations from natural sources and winter road sanding/salting has not been considered. Dots in the last two colour categories indicate stations reporting concentrations above the EU annual limit value (25 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO AQG for PM2.5 (10 μg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure 90.4 percentile of PM10 daily concentrations in 2018 Observed concentrations of PM10 in 2018. The map shows the 90.4 percentile of the PM10 daily mean concentrations, representing the 36th highest value in a complete series. It is related to the PM10 daily limit value, allowing 35 exceedances of the 50 μg/m3 threshold over 1 year. Dots in the last two colour categories indicate stations with concentrations above this daily limit value. Only stations with more than 75 % of valid data have been included in the map. The possibility of subtracting contributions to the measured concentrations from natural sources and winter road sanding/salting has not been considered.
Figure NO2 annual mean in 2018 The map represents the calculated concentrations of NO2 (annual mean) combining monitoring data with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure PM2.5 annual mean in 2018 The map represents the calculated concentrations of PM2,5 (annual mean) combining monitoring data with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Rural concentration of the ozone indicator AOT40 for forest, 2017 Accumulated ozone exposure values for forest — over a threshold of 40 parts per billion (AOT40f) — for 2017, as calculated for the fusion maps and as measured at rural background stations.
Figure Annual mean NO2 concentrations observed at traffic stations, 2017 The figure shows the annual mean concentrations of nitrogen dioxide (NO2) observed at traffic stations in 2017.
Figure Percentile 90.4 of daily mean PM10 concentrations observed at traffic stations, 2017 The map shows the Percentile 90.4 of daily mean PM10 concentrations at traffic stations. This represents the 36th highest value in a complete series. It is related to the PM10 daily limit value, which allows 35 exceedances of the 50 µg/m3 threshold over a 1-year period. Dots in the last two colour categories indicate stations with concentrations above this daily limit value. Only stations for which more than 75 % of data are valid have been included in the map.
Figure Annual mean PM2.5 concentrations observed at traffic stations, 2017 The figure shows the annual mean concentrations of particulate matter (PM2.5) observed at traffic stations in 2017.
Figure Annual mean PM2.5 concentrations observed at background stations, 2017 The figure shows the annual mean concentrations of particulate matter (PM2.5) observed at background stations in 2017.
Figure Annual mean NO2 concentrations observed at background stations, 2017 The figure shows the annual mean concentrations of nitrogen dioxide (NO2) observed at background stations in 2017.
Figure Percentile 90.4 of daily mean PM10 concentrations observed at background stations, 2017 The map shows the Percentile 90.4 of daily mean PM10 concentrations at background stations. This represents the 36th highest value in a complete series. It is related to the PM10 daily limit value, which allows 35 exceedances of the 50 μg/m3 threshold over a 1-year period. Dots in the last two colour categories indicate stations with exceedances of this daily limit value. Only stations for which more than 75 % of data are valid have been included in the map.
Figure EU urban population exposed to air pollutant concentrations above selected EU air quality standards and WHO AQ guidelines The rationale for selection of pollutants and corresponding WHO guidelines is given in the specification section of indicator CSI 004.
Figure Country comparison of the PM2.5 concentrations in 2017 The graph is based on annual mean concentration PM2.5 values. For each country, together with the number of stations considered, the lowest, highest and median values (in µg/m3) recorded at its stations are given. The rectangles mark the 25th and 75th percentiles. At 25 % of the stations, levels are below the lower percentile; at 25 % of the stations, concentrations are above the upper percentile. The limit value set by EU legislation is marked by the upper horizontal line. The WHO AQG is marked by the lower horizontal line.
Figure Annual mean nickel concentrations in 2017 Observed concentrations of nickel in 2017. The map shows the nickel annual mean concentrations. The dots in the last two colours categories indicate stations with exceedances of the annual target value (20 ng/m3). Only stations with more than 14 % of valid data have been included in the map.
Figure
Archived
NO2 annual mean in 2016 The map represents the calculated concentrations of NO2 (annual mean) combining monitoring data at monitoring stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure
Archived
PM2.5 annual mean in 2016 The map represents the calculated concentrations of PM2.5 (annual mean) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual mean arsenic concentrations in 2017 Observed concentrations of arsenic in 2017. The map shows the arsenic annual mean concentrations. The dots in the last two colours categories indicate stations with exceedances of the annual target value (6 ng/m3). Only stations with more than 14 % of valid data have been included in the map.
Figure Annual mean lead concentrations in 2017 Observed concentrations of lead in 2017. The map shows the lead annual mean concentrations. Dots in the last two categories indicate stations with concentrations above the annual limit value (0.5 µg/m3). Only stations with more than 14 % of valid data have been included in the map.
Figure Annual mean lead and nickel concentrations in 2017 Observed concentrations of lead (left) and nickel (right) in 2017. The map shows the lead and nickel annual mean concentrations. The dots in the last two colour categories indicate stations with concentrations exceeding the target value (0.5 µg/m3 for lead and 20 ng/m3 for nickel). Only stations with more than 14 % of valid data have been included in the map.
Figure Rural concentration of the ozone indicator AOT40 for vegetation, 2016 Accumulated ozone exposure values for crops — over a threshold of 40 parts per billion (AOT40c) — for 2016, as calculated for the fusion maps and as measured at rural background stations.
Figure Ozone indicator SOMO35 in 2016 The map represents the calculated concentrations of O3 (SOMO35) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Rural concentration of the ozone indicator AOT40 for vegetation, 2017 Accumulated ozone exposure values for crops — over a threshold of 40 parts per billion (AOT40c) — for 2017, as calculated for the fusion maps and as measured at rural background stations.
Figure 93.2 percentile of O3 maximum daily 8-hour mean in 2017 Observed concentrations of O3 in 2017. The map shows the 93.2 percentile of the O3 maximum daily 8-hour mean, representing the 26th highest value in a complete series. It is related to the O3 target value, allowing 25 exceedances over the 120-μg/m3 threshold. At sites marked with the last two colour categories dots, the 26th highest daily O3 concentration exceeded the 120-μg/m3 threshold, implying an exceedance of the target value threshold. Only stations with more than 75 % of valid data have been included in the map.
Figure CO maximum daily 8-hour mean in 2017 Observed concentrations of CO in 2017. The map shows the maximum CO daily 8-hour mean. The dots in the last two colour categories indicate stations with concentrations exceeding the limit value and the WHO air quality guidance (10 mg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean PM2.5 concentrations in 2017 Observed concentrations of PM2.5 in 2017. The map shows the PM2.5 annual mean concentrations. Dots in the last two colour categories indicate stations with concentrations exceeding the limit value (25 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO air quality guidance for PM2.5 (10 μg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean arsenic and cadmium concentrations in 2017 Observed concentrations of arsenic (left) and cadmium (right) in 2017. The map shows the arsenic and cadmium annual mean concentrations. The dots in the last two colour categories indicate stations with exceedances of the annual target value (6 ng/m3 for arsenic and 5 ng/m3 for cadmium). Only stations with more than 14 % of valid data have been included in the map.
Figure PM10 annual mean in 2016 The map represents the calculated concentrations of PM10 (annual mean) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure 90.4 percentile of PM10 daily concentrations in 2017 Observed concentrations of PM10 in 2017. The map shows the 90.4 percentile of the PM10 daily mean concentrations, representing the 36th highest value in a complete series. It is related to the PM10 daily limit value, allowing 35 exceedances of the 50 μg/m3 threshold over 1 year. Dots in the last two colour categories indicate stations with exceedances of this daily limit value. Only stations with more than 75 % of valid data have been included in the map.
Figure Annual concentrations of PM10 in 2017 Observed concentrations of PM10 in 2017. The map shows the PM10 annual mean concentrations. Dots in the last two colour categories indicate stations with concentrations exceeding the limit value (40 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO air quality guidance for PM10 (20 μg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean NO2 concentrations in 2017 Observed concentrations of NO2 in 2017. The map shows the NO2 annual mean concentrations. The dots in the last two colour categories indicate stations with exceedances of the annual limit value (40 µg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Annual mean BaP concentrations in 2017 Observed concentrations of BaP in 2017. The map shows the BaP annual mean concentrations. The dots in the last colour category indicate stations with exceedances of the annual target value (1 ng/m3). The dots in the first colour category correspond to concentrations under the estimated WHO reference level (0.12 ng/m3). Only stations reporting more than 14 % of valid data, as daily, weekly or monthly measurements, have been included in the map.
Figure Annual mean benzene concentrations in 2017 Observed concentrations of benzene in 2017. The map shows the benzene annual mean concentrations. Dots in the last colour category indicate stations with exceedances of the annual limit value (5 µg/m3). Dots in the first colour category correspond to concentrations under the estimated WHO reference level (1.7 µg/m3). Only stations with more than 50 % of valid data have been included in the map.
Figure Annual mean cadmium concentrations in 2017 Observed concentrations of cadmium in 2017. The map shows the cadmium annual mean concentrations. The dots in the last two colours categories indicate stations with exceedances of the annual target value (5 ng/m3). Only stations with more than 14 % of valid data have been included in the map.
Figure Rural concentration of the ozone indicator AOT40 for vegetation, 2017 Accumulated ozone exposure values for crops — over a threshold of 40 parts per billion (AOT40c) — for 2017, as calculated for the fusion maps and as measured at rural background stations.
Figure Rural concentration of the ozone indicator AOT40 for vegetation, 2016 Accumulated ozone exposure values for crops — over a threshold of 40 parts per billion (AOT40c) — for 2016, as calculated for the fusion maps and as measured at rural background stations.
Figure Rural concentration of the ozone indicator AOT40 for forest, 2016 Accumulated ozone exposure values for forest — over a threshold of 40 parts per billion (AOT40f) — for 2016, as calculated for the fusion maps and as measured at rural background stations.
Figure 90.4 percentile of daily mean PM10 concentrations observed at traffic stations, 2016 The map shows the 90.4 percentile of daily mean PM10 concentrations at traffic stations. This represents the 36th highest value in a complete series. It is related to the PM10 daily limit value, which allows 35 exceedances of the 50 µg/m3 threshold over a 1-year period. Dots in the last two colour categories indicate stations with concentrations above this daily limit value. Only stations for which more than 75 % of data are valid have been included in the map.
Figure Annual mean NO2 concentrations observed at traffic stations, 2016 The figure shows the annual mean concentrations of nitrogen dioxide (NO2) observed at traffic stations in 2016.
Figure Annual mean NO2 concentrations observed at background stations, 2016 The figure shows the annual mean concentrations of nitrogen dioxide (NO2) observed at background stations in 2016.
Figure Annual mean PM2.5 concentrations observed at traffic stations, 2016 The figure shows the annual mean concentrations of particulate matter (PM2.5) observed at traffic stations in 2016.
Figure Annual mean PM2.5 concentrations observed at background stations, 2016 The figure shows the annual mean concentrations of particulate matter (PM2.5) observed at background stations in 2016.
Figure 90.4 percentile of daily mean PM10 concentrations observed at background stations, 2016 The map shows the 90.4 percentile of daily mean PM10 concentrations at background stations. This represents the 36th highest value in a complete series. It is related to the PM10 daily limit value, which allows 35 exceedances of the 50 μg/m3 threshold over a 1-year period. Dots in the last two colour categories indicate stations with exceedances of this daily limit value. Only stations for which more than 75 % of data are valid have been included in the map.
Figure Annual mean NO2 concentrations in 2016 Observed concentrations of NO2 in 2016. The map shows the NO2 annual mean concentrations. The dots in the last two colour categories indicate stations with exceedances of the annual limit value (40 µg/m3). Only stations with more than 75 % of valid data have been included in the map.The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure Ozone indicator SOMO35 in 2015 The map represents the calculated concentrations of O3 (SOMO35) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual mean PM2.5 concentrations in 2016 Observed concentrations of PM2.5 in 2016. The map shows the PM2.5 annual mean concentrations. Dots in the last two colour categories indicate stations with concentrations exceeding the limit value (25 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO air quality guidance for PM2.5 (10 μg/m3). Only stations with more than 75 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure NO2 annual mean in 2015 The map represents the calculated concentrations of NO2 (annual mean) combining monitoring data at monitoring stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual mean benzene concentrations in 2016 Observed concentrations of benzene in 2016. The map shows the benzene annual mean concentrations. Dots in the last colour category indicate stations with exceedances of the annual limit value (5 µg/m3). Dots in the first colour category correspond to concentrations under the estimated WHO reference level (1.7 µg/m3). Only stations with more than 50 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure Annual mean lead concentrations in 2016 Observed concentrations of lead in 2016. The map shows the lead annual mean concentrations. Dots in the last two categories indicate stations with exceedances of the annual limit value (0.5 µg/m3). Only stations with more than 14 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure PM2.5 annual mean in 2015 The map represents the calculated concentrations of PM2.5 (annual mean) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual concentrations of PM10 in 2016 Observed concentrations of PM10 in 2016. The map shows the PM10 annual mean concentrations. Dots in the last two colour categories indicate stations with concentrations exceeding the limit value (40 μg/m3). Dots in the first colour category indicate stations reporting values below the WHO air quality guidance for PM10 (20 μg/m3). Only stations with more than 75 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure Annual mean BaP concentrations in 2016 Observed concentrations of BaP in 2016. The map shows the BaP annual mean concentrations. The dots in the last colour category indicate stations with exceedances of the annual target value (1 ng/m3). The dots in the first colour category correspond to concentrations under the estimated WHO reference level (0.12 ng/m3). Only stations reporting more than 14 % of valid data, as daily, weekly or monthly measurements, have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics.
Figure PM10 annual mean in 2015 The map represents the calculated concentrations of PM10 (annual mean) combining monitoring data at regional and urban background stations with results from the European Monitoring and Evaluation Programme (EMEP) chemical transport model and other supplementary data.
Figure Annual mean cadmium concentrations in 2016 Observed concentrations of cadmium in 2016. The map shows the cadmium annual mean concentrations. The dots in the last two colour categories indicate stations with exceedances of the annual target value (5 ng/m3). Only stations with more than 14 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure 93.2 percentile of O3 maximum daily 8-hour mean in 2016 Observed concentrations of O3 in 2016. The map shows the 93.2 percentile of the O3 maximum daily 8-hour mean, representing the 26th highest value in a complete series. It is related to the O3 target value, allowing 25 exceedances over the 120-μg/m3 threshold. At sites marked with the last two colour categories dots, the 26th highest daily O3 concentration exceeded the 120-μg/m3 threshold, implying an exceedance of the target value threshold. Only stations with more than 75 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure Annual mean nickel concentrations in 2016 Observed concentrations of nickel in 2016. The map shows the Ni annual mean concentrations. The dots in the last two colour categories indicate stations with concentrations exceeding the target value (20 ng/m3). Only stations with more than 14% of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure Annual mean arsenic concentrations in 2016 Observed concentrations of arsenic in 2016. The map shows the arsenic annual mean concentrations. The dots in the last two colours cateories indicate stations with exceedances of the annual target value (6 ng/m3). Only stations with more than 14 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure 90.4 percentile of PM10 daily concentrations Observed concentrations of PM10 in 2016. The map shows the 90.4 percentile of the PM10 daily mean concentrations, representing the 36th highest value in a complete series. It is related to the PM10 daily limit value, allowing 35 exceedances of the 50 μg/m3 threshold over 1 year. Dots in the last two colour categories indicate stations with exceedances of this daily limit value. Only stations with more than 75 % of valid data have been included in the map. The French overseas territories´ stations are not shown in the map but can be found at https://www.eea.europa.eu/data-and-maps/dashboards/air-quality-statistics
Figure CO maximum daily 8-hour mean in 2016 Observed concentrations of CO in 2016. The map shows the maximum CO daily 8-hour mean. The dots in the last two colour categories indicate stations with concentrations exceeding the limit value and the WHO air quality guidance (10 mg/m3). Only stations with more than 75 % of valid data have been included in the map.
Figure Rural concentration of the ozone indicator AOT40 for crops, 2015 Accumulated ozone exposure values for crops — over a threshold of 40 parts per billion (AOT40c) — for 2015, as calculated for the fusion maps and as measured at rural background stations.
Figure
Archived
Rural concentration of the ozone indicator AOT40 for forest, 2016 Accumulated ozone exposure values for forest — over a threshold of 40 parts per billion (AOT40f) — for 2016, as calculated for the fusion maps and as measured at rural background stations.

Used in indicators

Indicator Specification Exposure of Europe's ecosystems to ozone This indicator shows the negative impact of ground-level ozone on ecosystems and vegetation in Europe. In particular, it shows exposure of areas covered with vegetation (crops and forests) to ground-level ozone. Ground level ozone is one of the most prominent air pollution problems in Europe, mainly due to its effects on human health, crops and natural ecosystems. When absorbed by plants, it damages plant cells, impairing their ability to grow and reproduce, and leading to reduced agricultural crop yields, decreased forest growth and reduced biodiversity. The risk is estimated by reference to either a target value and a long-term objective, or to the 'critical level' for ozone for each location. The target value and the long-term objective are levels fixed with the aim of avoiding, preventing or reducing harmful effects on the environment. For ozone, the critical level is a concentration in the atmosphere, above which direct adverse effects on receptors, such as human beings, plants, ecosystems or materials, may occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2004).
Indicator Specification
Archived
Exceedance of air quality standards in Europe This indicator shows the fraction of the EU-28 urban population that is potentially exposed to ambient air concentrations of six key pollutants (PM 2.5 , PM 10 , O 3 , NO 2 , SO 2  and BaP) that are in excess of the  EU  limit or target values (EU, 2004, 2008) set for the protection of human health, and to concentrations of these pollutants in excess of the WHO Guidelines (WHO, 2000, 2006). The indicator is based on measurements of air pollutants as reported under the Air Quality Directives (EU, 2004, 2008) and the Decisions on the exchange of information (EU, 1997, 2011).
Indicator Specification
Archived
Exposure of Europe's ecosystems to acidification, eutrophication and ozone This indicator shows the negative impact of air pollution on ecosystems and vegetation in Europe. In particular, it shows: ecosystem areas with exceedances of the critical loads for acidification and eutrophication; and exposure of areas covered with vegetation (crops and forests) to ground-level ozone, the latest available rural concentrations of ozone and the annual variation of rural concentrations of ozone  at the European level . In the case of acidification and eutrophication, the area as well as the magnitude of critical load exceedances in ecosystems are shown. A critical load is a quantitative estimate of an exposure to one or more pollutants, below which significant harmful effects on specified sensitive elements of the environment do not occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015). It represents the upper limit of one or more pollutants deposited on the Earth's surface that an ecosystem, such as a lake or a forest, can tolerate without its function (e.g. the nutrient nitrogen cycle) or its structure (e.g. with respect to plant species' richness) being damaged. A positive difference between the deposition loads of acidifying and/or eutrophying airborne pollutants and the critical loads is termed an 'exceedance'. In the case of ozone, the risk is estimated by reference to either a target value and a long-term objective, or to the 'critical level' for ozone for each location. The target value and the long-term objective are levels fixed with the aim of avoiding, preventing or reducing harmful effects on the environment. For ozone, the critical level is a concentration in the atmosphere, above which direct adverse effects on receptors, such as human beings, plants, ecosystems or materials, may occur according to present knowledge (ICP on Modelling and Mapping, 2015; UNECE, 2015).   

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