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Hamburg Traffic VolumesVerkehrsstärken Hamburg

Verkehrsstärken HamburgHamburg Traffic Volumes

Published by LGV Hamburg

APIExecutable4/7Query nowOpen workbenchSubscribe🇩🇪Germany

This WFS API provides data on traffic volumes (Verkehrsstärken) in Hamburg, Germany, published by LGV Hamburg (Landesbetrieb Geoinformation und Vermessung). Traffic counts are conducted regularly across the city, and the results are used primarily for transport planning and for determining traffic development trends in Hamburg. For each year, the average daily traffic volumes are calculated and made available as geospatial data, allowing analysis of traffic patterns across the road network over time.Auf dem Gebiet Hamburgs werden in regelmäßigen Abständen Verkehrszählungen durchgeführt. Die Ergebnisse aus diesen Zählungen dienen in erster Linie der Verkehrsplanung sowie der Ermittlung der Verkehrsentwicklung in Hamburg. Für jedes Jahr werden die durchschnittlichen täglichen Verkehrsstärken a...

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Data schema (110 fields)

Click a field to see example values.

FieldTypeDescription
zaehlstellestringIdentifier number of the traffic counting station.Identifier number of the traffic counting station.
bezeichnungstringName or description of the traffic counting location.Name or description of the traffic counting location.
richtungstringDirection of traffic flow measured at the counting point.Direction of traffic flow measured at the counting point.
jahrintegerYear to which the traffic count data refers.Year to which the traffic count data refers.
dtv_kfzDtv kfzintegerAverage daily traffic volume of motor vehicles for the year.Average daily traffic volume of motor vehicles for the year.
dtvw_kfzDtvw kfzintegerAverage weekday daily traffic volume of motor vehicles for the year.Average weekday daily traffic volume of motor vehicles for the year.
sv_anteil_dtvwSv anteil dtvwintegerPercentage share of heavy vehicles in weekday average daily traffic.Percentage share of heavy vehicles in weekday average daily traffic.
geomgeometryGeographic location of the traffic counting station.Geographic location of the traffic counting station.
tensorintegerInternal identifier for the counting location record.Internal identifier for the counting location record.
dtv_2014Dtv 2014integerAverage daily traffic volume (vehicles) in 2014.Average daily traffic volume (vehicles) in 2014.
dtvw_2014Dtvw 2014integerAverage weekday daily traffic volume (vehicles) in 2014.Average weekday daily traffic volume (vehicles) in 2014.
sv_am_dtvw_2014Sv am dtvw 2014integerShare (%) of heavy vehicles in weekday average traffic for 2014.Share (%) of heavy vehicles in weekday average traffic for 2014.
anmerkung_2014Anmerkung 2014stringAdditional remark about the 2014 traffic count.Additional remark about the 2014 traffic count.
erhebungsmethode_2014Erhebungsmethode 2014stringMethod used to survey traffic in 2014.Method used to survey traffic in 2014.
dtv_2015Dtv 2015integerAverage daily traffic volume (vehicles) in 2015.Average daily traffic volume (vehicles) in 2015.
dtvw_2015Dtvw 2015integerAverage weekday daily traffic volume (vehicles) in 2015.Average weekday daily traffic volume (vehicles) in 2015.
sv_am_dtvw_2015Sv am dtvw 2015integerShare (%) of heavy vehicles in weekday average traffic for 2015.Share (%) of heavy vehicles in weekday average traffic for 2015.
anmerkung_2015Anmerkung 2015stringAdditional remark about the 2015 traffic count.Additional remark about the 2015 traffic count.
erhebungsmethode_2015Erhebungsmethode 2015stringMethod used to survey traffic in 2015.Method used to survey traffic in 2015.
dtv_2016Dtv 2016integerAverage daily traffic volume (vehicles) in 2016.Average daily traffic volume (vehicles) in 2016.
dtvw_2016Dtvw 2016integerAverage weekday daily traffic volume (vehicles) in 2016.Average weekday daily traffic volume (vehicles) in 2016.
sv_am_dtvw_2016Sv am dtvw 2016integerShare (%) of heavy vehicles in weekday average traffic for 2016.Share (%) of heavy vehicles in weekday average traffic for 2016.
anmerkung_2016Anmerkung 2016stringAdditional remark about the 2016 traffic count.Additional remark about the 2016 traffic count.
erhebungsmethode_2016Erhebungsmethode 2016stringMethod used to survey traffic in 2016.Method used to survey traffic in 2016.
dtv_2017Dtv 2017integerAverage daily traffic volume (vehicles) in 2017.Average daily traffic volume (vehicles) in 2017.
dtvw_2017Dtvw 2017integerAverage weekday daily traffic volume (vehicles) in 2017.Average weekday daily traffic volume (vehicles) in 2017.
sv_am_dtvw_2017Sv am dtvw 2017integerShare (%) of heavy vehicles in weekday average traffic for 2017.Share (%) of heavy vehicles in weekday average traffic for 2017.
anmerkung_2017Anmerkung 2017stringAdditional remark about the 2017 traffic count.Additional remark about the 2017 traffic count.
erhebungsmethode_2017Erhebungsmethode 2017stringMethod used to survey traffic in 2017.Method used to survey traffic in 2017.
dtv_2018Dtv 2018integerAverage daily traffic volume (vehicles) in 2018.Average daily traffic volume (vehicles) in 2018.
dtvw_2018Dtvw 2018integerAverage weekday daily traffic volume (vehicles) in 2018.Average weekday daily traffic volume (vehicles) in 2018.
sv_am_dtvw_2018Sv am dtvw 2018integerShare (%) of heavy vehicles in weekday average traffic for 2018.Share (%) of heavy vehicles in weekday average traffic for 2018.
anmerkung_2018Anmerkung 2018stringAdditional remark about the 2018 traffic count.Additional remark about the 2018 traffic count.
erhebungsmethode_2018Erhebungsmethode 2018stringMethod used to survey traffic in 2018.Method used to survey traffic in 2018.
dtv_2019Dtv 2019integerAverage daily traffic volume (vehicles) in 2019.Average daily traffic volume (vehicles) in 2019.
dtvw_2019Dtvw 2019integerAverage weekday daily traffic volume (vehicles) in 2019.Average weekday daily traffic volume (vehicles) in 2019.
sv_am_dtvw_2019Sv am dtvw 2019integerShare (%) of heavy vehicles in weekday average traffic for 2019.Share (%) of heavy vehicles in weekday average traffic for 2019.
anmerkung_2019Anmerkung 2019stringAdditional remark about the 2019 traffic count.Additional remark about the 2019 traffic count.
erhebungsmethode_2019Erhebungsmethode 2019stringMethod used to survey traffic in 2019.Method used to survey traffic in 2019.
dtv_2020Dtv 2020integerAverage daily traffic volume (vehicles) in 2020.Average daily traffic volume (vehicles) in 2020.
dtvw_2020Dtvw 2020integerAverage weekday daily traffic volume (vehicles) in 2020.Average weekday daily traffic volume (vehicles) in 2020.
sv_am_dtvw_2020Sv am dtvw 2020integerShare (%) of heavy vehicles in weekday average traffic for 2020.Share (%) of heavy vehicles in weekday average traffic for 2020.
anmerkung_2020Anmerkung 2020stringAdditional remark about the 2020 traffic count.Additional remark about the 2020 traffic count.
erhebungsmethode_2020Erhebungsmethode 2020stringMethod used to survey traffic in 2020.Method used to survey traffic in 2020.
dtv_2021Dtv 2021integerAverage daily traffic volume (vehicles) in 2021.Average daily traffic volume (vehicles) in 2021.
dtvw_2021Dtvw 2021integerAverage weekday daily traffic volume (vehicles) in 2021.Average weekday daily traffic volume (vehicles) in 2021.
sv_am_dtvw_2021Sv am dtvw 2021integerShare (%) of heavy vehicles in weekday average traffic for 2021.Share (%) of heavy vehicles in weekday average traffic for 2021.
anmerkung_2021Anmerkung 2021stringAdditional remark about the 2021 traffic count.Additional remark about the 2021 traffic count.
erhebungsmethode_2021Erhebungsmethode 2021stringMethod used to survey traffic in 2021.Method used to survey traffic in 2021.
dtv_2022Dtv 2022integerAverage daily traffic volume (vehicles) in 2022.Average daily traffic volume (vehicles) in 2022.
dtvw_2022Dtvw 2022integerAverage weekday daily traffic volume (vehicles) in 2022.Average weekday daily traffic volume (vehicles) in 2022.
sv_am_dtvw_2022Sv am dtvw 2022integerShare (%) of heavy vehicles in weekday average traffic for 2022.Share (%) of heavy vehicles in weekday average traffic for 2022.
anmerkung_2022Anmerkung 2022stringAdditional remark about the 2022 traffic count.Additional remark about the 2022 traffic count.
erhebungsmethode_2022Erhebungsmethode 2022stringMethod used to survey traffic in 2022.Method used to survey traffic in 2022.
dtv_2023Dtv 2023integerAverage daily traffic volume (vehicles) in 2023.Average daily traffic volume (vehicles) in 2023.
dtvw_2023Dtvw 2023integerAverage weekday daily traffic volume (vehicles) in 2023.Average weekday daily traffic volume (vehicles) in 2023.
sv_am_dtvw_2023Sv am dtvw 2023integerShare (%) of heavy vehicles in weekday average traffic for 2023.Share (%) of heavy vehicles in weekday average traffic for 2023.
anmerkung_2023Anmerkung 2023stringAdditional remark about the 2023 traffic count.Additional remark about the 2023 traffic count.
erhebungsmethode_2023Erhebungsmethode 2023stringMethod used to survey traffic in 2023.Method used to survey traffic in 2023.
dtv_2024Dtv 2024integerAverage daily traffic volume (vehicles) in 2024.Average daily traffic volume (vehicles) in 2024.
dtvw_2024Dtvw 2024integerAverage weekday daily traffic volume (vehicles) in 2024.Average weekday daily traffic volume (vehicles) in 2024.
sv_am_dtvw_2024Sv am dtvw 2024integerShare (%) of heavy vehicles in weekday average traffic for 2024.Share (%) of heavy vehicles in weekday average traffic for 2024.
anmerkung_2024Anmerkung 2024stringAdditional remark about the 2024 traffic count.Additional remark about the 2024 traffic count.
erhebungsmethode_2024Erhebungsmethode 2024stringMethod used to survey traffic in 2024.Method used to survey traffic in 2024.
dtv_2025Dtv 2025integerAverage daily traffic volume (vehicles) in 2025.Average daily traffic volume (vehicles) in 2025.
dtvw_2025Dtvw 2025integerAverage weekday daily traffic volume (vehicles) in 2025.Average weekday daily traffic volume (vehicles) in 2025.
sv_am_dtvw_2025Sv am dtvw 2025integerShare (%) of heavy vehicles in weekday average traffic for 2025.Share (%) of heavy vehicles in weekday average traffic for 2025.
anmerkung_2025Anmerkung 2025stringAdditional remark about the 2025 traffic count.Additional remark about the 2025 traffic count.
erhebungsmethode_2025Erhebungsmethode 2025stringMethod used to survey traffic in 2025.Method used to survey traffic in 2025.
zaehlzeitstringTime period during which the traffic count was conducted.Time period during which the traffic count was conducted.
artstringType or category of the traffic count or road.Type or category of the traffic count or road.
jahr1984integerAverage daily traffic volume (vehicles) recorded in 1984.Average daily traffic volume (vehicles) recorded in 1984.
jahr1985integerAverage daily traffic volume (vehicles) recorded in 1985.Average daily traffic volume (vehicles) recorded in 1985.
jahr1986integerAverage daily traffic volume (vehicles) recorded in 1986.Average daily traffic volume (vehicles) recorded in 1986.
jahr1987integerAverage daily traffic volume (vehicles) recorded in 1987.Average daily traffic volume (vehicles) recorded in 1987.
jahr1988integerAverage daily traffic volume (vehicles) recorded in 1988.Average daily traffic volume (vehicles) recorded in 1988.
jahr1989integerAverage daily traffic volume (vehicles) recorded in 1989.Average daily traffic volume (vehicles) recorded in 1989.
jahr1990integerAverage daily traffic volume (vehicles) recorded in 1990.Average daily traffic volume (vehicles) recorded in 1990.
jahr1991integerAverage daily traffic volume (vehicles) recorded in 1991.Average daily traffic volume (vehicles) recorded in 1991.
jahr1992integerAverage daily traffic volume (vehicles) recorded in 1992.Average daily traffic volume (vehicles) recorded in 1992.
jahr1993integerAverage daily traffic volume (vehicles) recorded in 1993.Average daily traffic volume (vehicles) recorded in 1993.
jahr1994integerAverage daily traffic volume (vehicles) recorded in 1994.Average daily traffic volume (vehicles) recorded in 1994.
jahr1995integerAverage daily traffic volume (vehicles) recorded in 1995.Average daily traffic volume (vehicles) recorded in 1995.
jahr1996integerAverage daily traffic volume (vehicles) recorded in 1996.Average daily traffic volume (vehicles) recorded in 1996.
jahr1997integerAverage daily traffic volume (vehicles) recorded in 1997.Average daily traffic volume (vehicles) recorded in 1997.
jahr1998integerAverage daily traffic volume (vehicles) recorded in 1998.Average daily traffic volume (vehicles) recorded in 1998.
jahr1999integerAverage daily traffic volume (vehicles) recorded in 1999.Average daily traffic volume (vehicles) recorded in 1999.
jahr2000integerAverage daily traffic volume (vehicles) recorded in 2000.Average daily traffic volume (vehicles) recorded in 2000.
jahr2001integerAverage daily traffic volume (vehicles) recorded in 2001.Average daily traffic volume (vehicles) recorded in 2001.
jahr2002integerAverage daily traffic volume (vehicles) recorded in 2002.Average daily traffic volume (vehicles) recorded in 2002.
jahr2003integerAverage daily traffic volume (vehicles) recorded in 2003.Average daily traffic volume (vehicles) recorded in 2003.
jahr2004integerAverage daily traffic volume (vehicles) recorded in 2004.Average daily traffic volume (vehicles) recorded in 2004.
jahr2005integerAverage daily traffic volume (vehicles) recorded in 2005.Average daily traffic volume (vehicles) recorded in 2005.
jahr2006integerAverage daily traffic volume (vehicles) recorded in 2006.Average daily traffic volume (vehicles) recorded in 2006.
jahr2007integerAverage daily traffic volume (vehicles) recorded in 2007.Average daily traffic volume (vehicles) recorded in 2007.
jahr2008integerAverage daily traffic volume (vehicles) recorded in 2008.Average daily traffic volume (vehicles) recorded in 2008.
jahr2009integerAverage daily traffic volume (vehicles) recorded in 2009.Average daily traffic volume (vehicles) recorded in 2009.
jahr2010integerAverage daily traffic volume (vehicles) recorded in 2010.Average daily traffic volume (vehicles) recorded in 2010.
jahr2011integerAverage daily traffic volume (vehicles) recorded in 2011.Average daily traffic volume (vehicles) recorded in 2011.
jahr2012integerAverage daily traffic volume (vehicles) recorded in 2012.Average daily traffic volume (vehicles) recorded in 2012.
jahr2013integerAverage daily traffic volume (vehicles) recorded in 2013.Average daily traffic volume (vehicles) recorded in 2013.
jahr2014integerAverage daily traffic volume (vehicles) recorded in 2014.Average daily traffic volume (vehicles) recorded in 2014.
jahr2015integerAverage daily traffic volume (vehicles) recorded in 2015.Average daily traffic volume (vehicles) recorded in 2015.
jahr2016integerAverage daily traffic volume (vehicles) recorded in 2016.Average daily traffic volume (vehicles) recorded in 2016.
jahr2017integerAverage daily traffic volume (vehicles) recorded in 2017.Average daily traffic volume (vehicles) recorded in 2017.
jahr2018integerAverage daily traffic volume (vehicles) recorded in 2018.Average daily traffic volume (vehicles) recorded in 2018.
jahr2019integerAverage daily traffic volume (vehicles) recorded in 2019.Average daily traffic volume (vehicles) recorded in 2019.
jahr2020integerAverage daily traffic volume (vehicles) recorded in 2020.Average daily traffic volume (vehicles) recorded in 2020.
jahr2021integerAverage daily traffic volume (vehicles) recorded in 2021.Average daily traffic volume (vehicles) recorded in 2021.
mqstringIdentifier of the measurement cross-section or point.Identifier of the measurement cross-section or point.

Schema captured from wfs 3 days ago.

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Sample data (3 records)

Record 1tensor: 371 · dtv_2014: 52600
{
  "tensor": 371,
  "dtv_2014": 52600,
  "dtv_2015": 51200,
  "dtv_2016": 51300,
  "dtv_2017": 51600,
  "dtv_2018": 51500,
  "dtv_2019": 51100,
  "dtv_2020": 42000,
  "dtv_2021": 39300,
  "dtv_2022": 46700,
  "dtv_2023": 48100,
  "dtv_2024": 49200,
  "dtv_2025": 50000,
  "dtvw_2014": 57200,
  "dtvw_2015": 55600,
  "dtvw_2016": 55500,
  "dtvw_2017": 55900,
  "dtvw_2018": 55800,
  "dtvw_2019": 55600,
  "dtvw_2020": 46100,
  "dtvw_2021": 43000,
  "dtvw_2022": 50100,
  "dtvw_2023": 51900,
  "dtvw_2024": 52700,
  "dtvw_2025": 53700,
  "bezeichnung": "Krohnstieg NO Garstedter Weg",
  "zaehlstelle": "0101930",
  "sv_am_dtvw_2014": 5,
  "sv_am_dtvw_2015": 5,
  "sv_am_dtvw_2016": 5,
  "sv_am_dtvw_2017": 4,
  "sv_am_dtvw_2018": 5,
  "sv_am_dtvw_2019": 5,
  "sv_am_dtvw_2020": 5,
  "sv_am_dtvw_2021": 6,
  "sv_am_dtvw_2022": 5,
  "sv_am_dtvw_2023": 5,
  "sv_am_dtvw_2024": 4,
  "sv_am_dtvw_2025": 4,
  "erhebungsmethode_2019": "Induktivschleife",
  "erhebungsmethode_2020": "Induktivschleife",
  "erhebungsmethode_2021": "Induktivschleife",
  "erhebungsmethode_2022": "Induktivschleife",
  "erhebungsmethode_2023": "Induktivschleife",
  "erhebungsmethode_2024": "Induktivschleife",
  "erhebungsmethode_2025": "Induktivschleife"
}
Record 2tensor: 372 · dtv_2014: 11600
{
  "tensor": 372,
  "dtv_2014": 11600,
  "dtv_2015": 12300,
  "dtv_2016": 13300,
  "dtv_2017": 12300,
  "dtv_2018": 12300,
  "dtv_2019": 12500,
  "dtv_2020": 10400,
  "dtv_2021": 9400,
  "dtv_2022": 10000,
  "dtv_2023": 9400,
  "dtv_2024": 9900,
  "dtv_2025": 9900,
  "dtvw_2014": 13100,
  "dtvw_2015": 14000,
  "dtvw_2016": 14900,
  "dtvw_2017": 14000,
  "dtvw_2018": 13900,
  "dtvw_2019": 14000,
  "dtvw_2020": 11600,
  "dtvw_2021": 10600,
  "dtvw_2022": 11000,
  "dtvw_2023": 10500,
  "dtvw_2024": 11000,
  "dtvw_2025": 10900,
  "bezeichnung": "Garstedter Weg SW Krohnstieg",
  "zaehlstelle": "0101970",
  "sv_am_dtvw_2014": 4,
  "sv_am_dtvw_2015": 4,
  "sv_am_dtvw_2016": 5,
  "sv_am_dtvw_2017": 4,
  "sv_am_dtvw_2018": 4,
  "sv_am_dtvw_2019": 4,
  "sv_am_dtvw_2020": 4,
  "sv_am_dtvw_2021": 5,
  "sv_am_dtvw_2022": 5,
  "sv_am_dtvw_2024": 4,
  "sv_am_dtvw_2025": 4,
  "erhebungsmethode_2019": "Induktivschleife",
  "erhebungsmethode_2020": "Induktivschleife",
  "erhebungsmethode_2021": "Induktivschleife",
  "erhebungsmethode_2022": "Induktivschleife",
  "erhebungsmethode_2023": "Induktivschleife",
  "erhebungsmethode_2024": "Induktivschleife",
  "erhebungsmethode_2025": "Induktivschleife"
}
Record 3tensor: 373 · dtv_2014: 44000
{
  "tensor": 373,
  "dtv_2014": 44000,
  "dtv_2015": 41500,
  "dtv_2016": 41200,
  "dtv_2017": 42100,
  "dtv_2018": 42100,
  "dtv_2019": 42000,
  "dtv_2020": 34800,
  "dtv_2021": 32800,
  "dtv_2022": 39600,
  "dtv_2023": 41800,
  "dtv_2024": 42500,
  "dtv_2025": 43300,
  "dtvw_2014": 47400,
  "dtvw_2015": 44600,
  "dtvw_2016": 44000,
  "dtvw_2017": 45000,
  "dtvw_2018": 45100,
  "dtvw_2019": 45100,
  "dtvw_2020": 38000,
  "dtvw_2021": 35700,
  "dtvw_2022": 42300,
  "dtvw_2023": 44800,
  "dtvw_2024": 45200,
  "dtvw_2025": 46200,
  "bezeichnung": "Swebenweg W Krohnstieg",
  "zaehlstelle": "0101980",
  "sv_am_dtvw_2014": 5,
  "sv_am_dtvw_2015": 5,
  "sv_am_dtvw_2016": 5,
  "sv_am_dtvw_2017": 5,
  "sv_am_dtvw_2018": 5,
  "sv_am_dtvw_2019": 5,
  "sv_am_dtvw_2020": 5,
  "sv_am_dtvw_2021": 6,
  "sv_am_dtvw_2022": 5,
  "sv_am_dtvw_2023": 5,
  "sv_am_dtvw_2024": 4,
  "erhebungsmethode_2019": "Induktivschleife",
  "erhebungsmethode_2020": "Induktivschleife",
  "erhebungsmethode_2021": "Induktivschleife",
  "erhebungsmethode_2022": "Induktivschleife",
  "erhebungsmethode_2023": "Induktivschleife",
  "erhebungsmethode_2024": "Induktivschleife",
  "erhebungsmethode_2025": "Induktivschleife"
}

Live sample captured at profiling time — values may have changed upstream.

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Using the API

Query examples

curl -s 'https://geodienste.hamburg.de/HH_WFS_Verkehrsstaerken?service=WFS&version=2.0.0&request=GetCapabilities' -H 'Accept: application/json'

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