chargemyride

Site potential analysis

A coordinate or a place, scored from 0 to 100 using nine factors: five on supply, four on demand. Every intermediate step is shown — the overall score can be checked with a pocket calculator.

This value combines supply and demand from official and measured data. Vehicle stock and purchasing power are only available per district, traffic volumes only at permanent counting stations on motorways and federal roads, utilisation only where operators report real-time data. Commuter flows, parking space and destinations are missing. None of it is estimated: where a basis is missing, the factor drops out. The value is a tool for sorting out and comparing, not for deciding on its own.

Latitude before longitude, decimal point. Example: 51.3388 and 6.5853.

Coordinate 54.0450, 9.0000 · local radius 5 km

66 of 100

Supply 92 · Demand 27

The two sub-scores sit next to the overall score and are not counted again: 60 points can mean 90 supply and 30 demand — or the other way round.
District: Dithmarschen (assigned via the BKG district boundaries, approximate near a boundary)

Factor Points Weight effective
Supply — what is already there
Charging-infrastructure undersupply
Charge-point density within the local radius relative to the density within 25 km. Room here means: fewer charge points than usual in the surroundings.
at the lower bound 0.25→100
100.0 15 % 24.2 %
HPC availability
Distance to the nearest fast charge point from 150 kW and its share of the local stock. 60 % distance, 40 % share.
linear between 10.00→80 and 20.00→100
88.0 12 % 19.4 %
Competition
Number of operators within the local radius. Room means: few. A dominant operator’s concentration is shown alongside but does not enter the score.
linear between 0.00→100 and 1.00→85
85.0 10 % 16.1 %
Outages in the existing stock
Share of charge-point time in which the charge points within the local radius were reported out of service by their operators (30 days). Plenty of room means: what is there often fails.
Too few charging stations within the local radius report their status (at least 3, with reports covering at least half of the time). The factor drops out.
– 6 % 0.0 %
Market momentum
Growth of charge points within 25 km over the chosen period, from two data states. A high value means growth — where building happens, someone saw demand.
No second data state is available for this period. The factor is dropped and the remaining weights move up.
– 7 % 0.0 %
Demand — who would charge
Electric vehicles per charge point
Registered electric cars (BEV and plug-in hybrids, KBA) in the district per public charge point in the same district. Plenty of room means: many vehicles, few charge points.
8.1 · 3,861 / 479
linear between 5.00→0 and 10.00→25
15.3 18 % 29.0 %
Local utilisation
How occupied the working charge points within the local radius are and how often no point at all was free at a station (30 days, half each). Broken charge points do not count as occupied. Plenty of room means: whatever works is constantly booked out.
Too few charging stations within the local radius report occupancy (at least 3). The factor drops out.
– 14 % 0.0 %
Traffic volume
Average daily traffic at the BASt permanent counting station within 10 km with the highest effective value. Up to 2 km it counts in full, at 5 km 60 %, at 10 km 20 %.
There is no permanent counting station within 10 km. Counting only happens on motorways and federal roads — this does not mean “no traffic”. The factor drops out.
– 11 % 0.0 %
Purchasing power
Disposable income of private households per inhabitant in the district (VGRdL), relative to the national average (= 100).
29,141 € / 28,452 € = 102.4
linear between 100.00→50 and 110.00→75
56.1 7 % 11.3 %

This value combines supply and demand from official and measured data. Vehicle stock and purchasing power are only available per district, traffic volumes only at permanent counting stations on motorways and federal roads, utilisation only where operators report real-time data. Commuter flows, parking space and destinations are missing. None of it is estimated: where a basis is missing, the factor drops out. The value is a tool for sorting out and comparing, not for deciding on its own.

What was observed

On site (5 km)

Charge points3
Charging stations1
of which from 150 kW0
Operators1
Density per km²0.038
Avg power (kW)40.7
largest operatorLidl Dienstleistung GmbH & Co. KG · 100.0 %

Surroundings (25 km)

Charge points429
Charging stations227
Density per km²0.219
Nearest fast charger 10.02 km — GP Joule Connect GmbH

District Dithmarschen

Electric cars (BEV + plug-in hybrids)3,861
of which battery electric (BEV)2,796
Share of the car stock4.5 %
public charge points in the district479
Electric cars per charge point8.1
Disposable income per inhabitant (2023)29,141 €
Index (Germany = 100)102.4

KBA vehicle stock as of 1 Jan 2026.

BASt permanent counting stations within 10 km

No permanent counting station nearby.

Local usage (30 days)

Charging stations with reports0 / 1
Occupancy of working time– %
Time fully booked out– %
Occupancy of fast chargers– %
Reported outage time– %
mostly out of service0

From the operators’ status reports at the National Access Point: reported, not observed.

Potential map of Germany

The same scoring for a grid of roughly 10 × 10 km across Germany, each cell scored at its centre. The map shows where a closer look is worthwhile — clicking a cell opens the full calculation for that point.

Calculated on 7 Oct 2026 with register snapshot 30 Sep 2026; grid about 10 km, local radius 5 km. Map values as a table: see the district statistics below.

District statistics

Average of the grid cells per district, plus the official figures. Sorted by average overall score. Be careful with districts that have a high vehicle stock per charge point: company and leasing fleets are registered at the keeper’s seat and can inflate a district.

DistrictAvg. overallbest cellAvg. supplyAvg. demandEVs per CPEV sharePurch. power
Kusel72.28473.370.734.84.0 %88.4
Bad Dürkheim72.08469.275.427.86.1 %111.5
Dillingen a.d.Donau67.48164.372.023.05.0 %107.5
Mainz-Bingen66.87760.373.523.96.7 %127.3
Wolfenbüttel66.78364.169.631.35.9 %97.5
Dachau66.47563.869.220.06.4 %113.2
Havelland66.38177.249.719.15.4 %93.5
Hochtaunuskreis66.27352.580.234.58.3 %136.1
Gifhorn65.48176.849.618.05.9 %100.7
Uelzen65.37772.654.721.95.8 %93.8
Würzburg65.17763.666.021.46.9 %106.8
Oldenburg65.18465.364.424.96.4 %104.4
Biberach64.78058.674.128.06.3 %107.0
Potsdam-Mittelmark64.68269.157.619.35.9 %104.0
Erlangen-Höchstadt64.37851.382.026.79.0 %130.5
Show all 379 districts
DistrictAvg. overallbest cellAvg. supplyAvg. demandEVs per CPEV sharePurch. power
Kusel72.28473.370.734.84.0 %88.4
Bad Dürkheim72.08469.275.427.86.1 %111.5
Dillingen a.d.Donau67.48164.372.023.05.0 %107.5
Mainz-Bingen66.87760.373.523.96.7 %127.3
Wolfenbüttel66.78364.169.631.35.9 %97.5
Dachau66.47563.869.220.06.4 %113.2
Havelland66.38177.249.719.15.4 %93.5
Hochtaunuskreis66.27352.580.234.58.3 %136.1
Gifhorn65.48176.849.618.05.9 %100.7
Uelzen65.37772.654.721.95.8 %93.8
Würzburg65.17763.666.021.46.9 %106.8
Oldenburg65.18465.364.424.96.4 %104.4
Biberach64.78058.674.128.06.3 %107.0
Potsdam-Mittelmark64.68269.157.619.35.9 %104.0
Erlangen-Höchstadt64.37851.382.026.79.0 %130.5
Holzminden64.37772.754.325.24.8 %94.9
Wittenberg64.38370.556.024.23.2 %91.8
Bayreuth64.08167.958.520.85.2 %101.3
Celle63.97674.348.419.45.6 %91.0
Neumarkt i.d.OPf.63.87769.253.513.95.9 %107.8
Donnersbergkreis63.77667.658.425.65.1 %92.0
Südwestpfalz63.47670.553.822.24.7 %97.5
Spree-Neiße63.27480.638.815.13.0 %93.3
Eifelkreis Bitburg-Prüm63.18172.649.619.65.2 %94.9
Teltow-Fläming63.18272.049.319.25.3 %91.7
Segeberg63.18064.960.422.06.4 %105.1
Germersheim63.07664.461.032.86.1 %96.6
Zollernalbkreis62.97953.777.526.95.6 %107.6
Rhein-Neckar-Kreis62.87549.976.827.99.0 %110.2
Rheingau-Taunus-Kreis62.87760.464.622.76.8 %109.7
Rhön-Grabfeld62.77662.163.915.95.5 %125.6
Landsberg am Lech62.67663.360.817.37.8 %115.1
Starnberg62.27450.574.825.09.4 %156.5
Lüchow-Dannenberg62.17772.646.720.74.9 %89.0
Enzkreis62.06752.872.223.66.6 %108.8
Helmstedt62.08061.661.821.45.7 %98.9
Jerichower Land61.97767.753.923.63.5 %92.6
Harburg61.97761.163.822.36.4 %113.1
Augsburg61.87758.665.520.46.4 %109.5
Lichtenfels61.77966.354.721.14.4 %98.3
Calw61.67559.363.118.07.1 %102.6
Main-Taunus-Kreis61.06146.076.021.06.8 %118.5
Rheinisch-Bergischer Kreis60.76646.375.325.17.0 %114.6
Märkisch-Oderland60.77769.848.721.24.5 %93.7
Haßberge60.67566.451.117.25.3 %101.9
Altenkirchen (Westerwald)60.57654.370.332.35.8 %92.2
Olpe60.57153.367.828.96.3 %116.8
Lippe60.58260.460.325.16.2 %99.0
Reutlingen60.37161.757.317.06.4 %105.5
Stormarn60.37361.458.317.67.3 %115.7
Rottal-Inn60.17659.361.521.15.6 %103.3
Miltenberg60.17259.060.924.05.5 %103.5
Cuxhaven60.07966.550.018.94.9 %98.9
Trier-Saarburg59.97864.554.220.8*6.3 %100.6
Donau-Ries59.87561.356.716.25.8 %114.5
Steinburg59.78060.557.521.15.4 %102.0
Ahrweiler59.67361.056.717.65.5 %100.7
Sigmaringen59.57559.259.721.95.4 %100.4
Kronach59.37868.045.514.74.5 %105.3
Prignitz59.37267.546.118.53.0 %88.3
Darmstadt59.05960.059.019.08.8 %96.1
Weißenburg-Gunzenhausen58.77365.547.114.75.5 %98.9
Herzogtum Lauenburg58.67561.854.520.35.9 %104.8
Rosenheim58.57060.854.714.46.6 %116.3
Coburg58.56767.746.716.25.4 %103.3
Odenwaldkreis58.47561.254.424.05.4 %95.3
Diepholz58.47666.747.616.16.4 %104.5
Lüneburg58.37863.448.917.96.4 %95.6
Neuburg-Schrobenhausen58.27359.754.817.55.2 %102.6
Bamberg58.27662.351.716.55.2 %102.1
Wetteraukreis58.27751.065.222.86.5 %104.4
Osnabrück58.27559.955.821.36.5 %102.7
Rendsburg-Eckernförde58.27561.653.816.36.4 %109.0
Esslingen58.16949.167.119.58.0 %109.2
Rhein-Lahn-Kreis58.17658.456.825.25.6 %93.9
Ebersberg58.07154.362.016.68.0 %123.2
Fürth58.06739.078.024.06.3 %114.2
Neuwied58.06947.470.021.45.7 %125.8
Nordsachsen58.07170.440.314.83.6 %91.9
Main-Spessart57.97362.351.615.15.7 %103.7
Kaiserslautern57.86957.557.532.95.5 %89.4
Euskirchen57.78447.368.946.511.0 %95.7
Oberhavel57.77463.949.418.75.4 %98.3
Barnim57.77369.141.915.04.9 %95.5
Heidenheim57.67457.357.918.95.0 %99.2
Siegen-Wittgenstein57.57954.560.725.16.3 %100.7
Unstrut-Hainich-Kreis57.56869.039.716.14.2 %86.7
Nürnberger Land57.46952.563.219.06.6 %113.9
Bergstraße57.46655.858.418.06.4 %104.7
Bad Kissingen57.47558.555.119.45.4 %102.7
Bad Tölz-Wolfratshausen57.27164.648.013.66.1 %116.3
Pfaffenhofen a.d.Ilm57.27556.356.714.86.3 %109.5
Bad Kreuznach57.27557.354.820.75.5 %92.1
München57.06041.771.721.212.2 %137.4
Ludwigslust-Parchim56.97274.731.111.43.0 %95.9
Stade56.97658.454.520.26.1 %102.1
Fürstenfeldbruck56.87051.561.517.46.5 %115.6
Südliche Weinstraße56.87953.660.228.55.9 %101.1
Amberg-Sulzbach56.87360.950.717.75.9 %100.9
Aschaffenburg56.86753.660.418.06.7 %107.8
Rastatt56.67259.150.915.56.4 %100.2
Straubing-Bogen56.67361.050.016.75.5 %103.2
Kulmbach56.66968.339.610.95.2 %104.2
Nienburg (Weser)56.67262.347.817.45.2 %92.6
Aichach-Friedberg56.57650.464.419.26.3 %112.6
Altmarkkreis Salzwedel56.57272.932.413.23.3 %90.8
Ostalbkreis56.47359.451.515.16.0 %107.1
Landshut56.37456.256.116.76.7 %107.7
Dahme-Spreewald56.37368.737.113.35.2 %95.2
Hochsauerlandkreis56.27556.254.918.66.0 %107.7
Rhein-Pfalz-Kreis56.06349.062.427.15.7 %112.3
Ennepe-Ruhr-Kreis56.06450.461.222.05.9 %106.2
Forchheim55.87056.854.316.85.9 %108.2
Rhein-Hunsrück-Kreis55.67557.551.416.35.5 %100.1
Rotenburg (Wümme)55.67261.247.515.35.8 %102.8
Osterholz55.66753.457.719.05.9 %101.9
Greiz55.57063.445.519.23.1 %92.8
Mühldorf a.Inn55.36756.053.017.46.0 %105.9
Roth55.37157.651.412.26.1 %111.0
St. Wendel55.26654.258.223.15.1 %99.8
Weilheim-Schongau55.17458.250.616.16.1 %112.1
Vogelsbergkreis55.16865.740.614.05.0 %94.7
Böblingen55.06043.566.515.711.8 %109.3
Cochem-Zell55.07058.849.017.25.2 %92.9
Rhein-Sieg-Kreis55.06246.863.023.46.2 %105.8
Börde54.96972.529.710.83.5 %93.4
Ludwigsburg54.86447.362.318.07.3 %111.7
Steinfurt54.87250.759.822.67.0 %99.4
Tuttlingen54.77156.151.916.06.4 %111.2
Erding54.66656.353.113.96.1 %111.8
Rhein-Kreis Neuss54.66348.661.418.16.6 %110.1
Sömmerda54.66467.439.117.63.4 %88.9
Pinneberg54.67751.957.118.46.3 %110.2
Hildburghausen54.56570.730.511.13.0 %93.9
Bernkastel-Wittlich54.47161.741.913.85.1 %94.7
Neustadt a.d.Waldnaab54.17258.748.116.75.3 %98.5
Tirschenreuth54.07557.746.713.14.8 %109.4
Rhein-Erft-Kreis54.06445.163.023.86.2 %99.1
Leverkusen54.05442.067.020.07.1 %93.9
Kyffhäuserkreis54.07070.032.314.12.7 %85.5
Krefeld54.05441.066.025.45.7 %93.8
Heilbronn53.96354.452.014.87.0 %106.3
Hildesheim53.97060.545.215.65.8 %93.6
Nordwestmecklenburg53.97170.231.713.23.8 %89.3
Waldeck-Frankenberg53.87062.439.913.85.5 %95.1
Regensburg53.77056.649.517.26.4 %105.8
Offenbach53.75743.365.020.16.2 %103.8
Plön53.67254.851.815.55.9 %105.9
Worms53.56551.554.523.95.2 %86.7
Verden53.57552.853.018.66.1 %103.5
Leipzig53.47057.447.315.34.1 %97.7
Elbe-Elster53.47467.633.715.32.7 %86.8
Ammerland53.46955.150.019.46.3 %99.8
Neustadt a.d.Aisch-Bad Windsheim53.37258.945.314.76.2 %102.2
Märkischer Kreis53.36652.854.320.25.4 %103.9
Düsseldorf53.35842.064.015.111.6 %114.0
Soest53.37355.550.218.86.9 %102.3
Bodenseekreis53.26948.558.717.07.4 %114.1
Miesbach53.27453.951.811.67.0 %143.2
Alzey-Worms53.26348.559.223.95.9 %97.2
Saalekreis53.26759.345.116.13.7 %92.2
Peine53.26353.551.821.96.0 %95.3
Cham53.17157.945.515.55.2 %101.5
Coesfeld53.16851.155.919.86.8 %108.5
Schwäbisch Hall53.07055.349.114.86.1 %103.4
Main-Tauber-Kreis53.06764.836.110.65.3 %101.3
Birkenfeld53.07657.046.520.73.9 %89.2
Mettmann53.06343.063.615.97.2 %108.9
Unterallgäu52.96760.939.69.65.4 %111.5
Eichsfeld52.96768.633.113.64.8 %93.5
Karlsruhe52.86446.260.118.46.6 %105.8
Freising52.66459.342.49.46.7 %106.8
Eichstätt52.66958.244.012.75.7 %105.2
Westerwaldkreis52.56648.156.921.36.4 %101.0
Kitzingen52.46661.339.39.46.1 %104.4
Darmstadt-Dieburg52.46143.361.620.06.7 %106.0
Göttingen52.47158.842.816.55.9 %92.0
Sächsische Schweiz-Osterzgebirge52.36765.435.413.63.4 %93.7
Görlitz52.36769.925.711.32.3 %85.8
Hameln-Pyrmont52.36454.150.922.95.5 %95.9
Werra-Meißner-Kreis52.26561.141.718.25.0 %90.0
Vulkaneifel52.16667.929.111.25.0 %94.3
Main-Kinzig-Kreis52.07254.547.915.45.6 %102.5
Meißen52.06861.040.313.93.5 %96.1
Minden-Lübbecke52.07047.457.325.86.3 %99.7
Bautzen51.96962.834.212.43.2 %93.3
Lörrach51.87446.558.319.16.5 %111.9
Waldshut51.87254.947.215.96.5 %103.2
Mittelsachsen51.86862.038.114.93.0 %91.7
Oberbergischer Kreis51.76544.059.125.26.1 %102.9
Wittmund51.66565.532.011.94.2 %93.4
Günzburg51.37047.355.013.95.9 %108.1
Freudenstadt51.26654.744.712.55.8 %107.2
Rostock51.27163.233.812.14.0 %94.2
München51.05225.376.024.611.4 %134.2
Tübingen51.05753.049.312.86.9 %103.4
Kelheim51.07556.143.213.65.4 %103.4
Erlangen51.05136.066.015.07.2 %105.8
Limburg-Weilburg51.06050.751.717.76.4 %97.2
Remscheid51.05141.060.018.16.0 %94.4
Schleswig-Flensburg51.06859.736.911.55.9 %98.7
Gütersloh50.96247.154.820.36.8 %108.3
Dithmarschen50.96967.626.48.14.5 %102.4
Rems-Murr-Kreis50.86745.955.317.16.8 %107.9
Deggendorf50.66157.640.110.56.0 %110.8
Saarlouis50.66639.863.428.15.2 %94.3
Neckar-Odenwald-Kreis50.66856.841.714.35.2 %98.8
Grafschaft Bentheim50.57151.647.317.97.4 %94.4
Vogtlandkreis50.46761.136.613.63.1 %91.0
Saale-Holzland-Kreis50.46362.933.99.13.9 %93.5
Warendorf50.47052.148.617.25.9 %105.6
Herford50.46543.457.224.96.6 %101.4
Höxter50.27056.840.716.36.1 %98.3
Ravensburg50.16454.941.911.16.3 %105.9
Rottweil50.15646.354.016.65.9 %105.7
Baden-Baden50.05935.066.014.87.4 %123.5
Ansbach49.86555.441.211.35.7 %104.9
Emsland49.87055.639.813.57.1 %99.3
Lahn-Dill-Kreis49.76951.946.919.05.9 %94.3
Traunstein49.66450.148.814.56.5 %110.3
Wunsiedel i.Fichtelgebirge49.67449.647.912.75.0 %116.6
Schwarzwald-Baar-Kreis49.56749.548.414.85.9 %101.9
Wesel49.56249.848.514.95.9 %97.2
Mecklenburgische Seenplatte49.56567.821.59.93.0 %88.1
Köln49.35429.069.716.48.9 %101.1
Anhalt-Bitterfeld49.36567.224.710.23.2 %89.3
Schmalkalden-Meiningen49.16266.026.710.93.4 %92.7
Schwalm-Eder-Kreis49.16354.143.116.55.7 %94.2
Potsdam49.04946.051.015.75.9 %96.0
Uckermark49.06371.713.57.93.0 %85.7
Wilhelmshaven49.04959.031.013.54.1 %80.0
Nordfriesland49.06857.037.49.57.0 %117.0
Vechta48.97047.150.917.77.8 %106.5
Schweinfurt48.86648.448.916.76.2 %101.3
Altenburger Land48.86658.334.313.83.0 %90.0
Burgenlandkreis48.86160.932.912.23.2 %88.5
Salzlandkreis48.76664.725.210.92.9 %86.3
Alb-Donau-Kreis48.55957.535.09.46.0 %103.8
Breisgau-Hochschwarzwald48.36748.747.213.66.4 %107.2
Hohenlohekreis48.36551.741.611.77.5 %106.2
Mayen-Koblenz48.26042.754.219.65.9 %94.8
Schwandorf48.16553.939.913.35.3 %99.0
Gotha48.06457.034.811.93.9 %89.4
Mansfeld-Südharz48.06167.121.98.92.8 %86.7
Oberallgäu47.96852.039.99.15.9 %109.7
Düren47.95753.241.013.96.0 %94.2
Kassel47.96754.040.215.76.6 %96.0
Fulda47.86353.839.312.06.0 %98.5
Vorpommern-Greifswald47.86668.919.39.72.8 %84.7
Recklinghausen47.75344.551.017.25.0 %90.3
Harz47.76466.723.110.23.5 %89.5
Schaumburg47.76847.048.015.55.6 %96.7
Leer47.76651.042.517.04.9 %88.7
Marburg-Biedenkopf47.66851.641.215.25.3 %91.4
Wiesbaden47.54926.570.520.712.9 %118.8
Borken47.56550.942.612.77.5 %103.0
Oder-Spree47.56168.013.65.94.4 %92.5
Saale-Orla-Kreis47.25867.517.26.12.7 %90.9
Vorpommern-Rügen47.16271.310.45.93.2 %88.6
Frankfurt am Main47.04922.571.517.711.1 %103.5
Sonneberg47.05659.329.012.13.1 %91.3
Saalfeld-Rudolstadt47.06662.623.510.13.4 %91.7
Ostallgäu46.96452.139.110.75.9 %107.2
Gießen46.76343.849.315.96.4 %89.4
Wolfsburg46.76637.355.722.220.5 %99.3
Weimarer Land46.66257.332.311.24.1 %93.0
Ostprignitz-Ruppin46.66265.318.27.93.2 %88.1
Dingolfing-Landau46.46258.227.27.46.0 %104.0
Wesermarsch46.46859.729.911.55.2 %96.0
Lindau (Bodensee)46.35339.552.312.75.8 %110.0
Ilm-Kreis46.36255.234.211.44.2 %88.8
Hersfeld-Rotenburg46.26549.541.113.35.1 %94.1
Northeim46.16656.132.311.75.5 %95.8
Aschaffenburg46.04621.072.021.88.8 %104.9
Erzgebirgskreis46.06956.531.812.73.0 %90.9
Bottrop46.05644.047.513.75.0 %91.8
Konstanz45.77140.449.914.86.4 %104.5
Heinsberg45.75946.144.716.85.7 %91.1
Nordhausen45.76260.424.09.73.2 %86.4
Regen45.66156.229.710.25.2 %97.6
Hof45.66747.042.412.45.0 %97.2
Viersen45.65741.449.615.65.9 %103.0
Unna45.66144.147.115.75.8 %93.8
Friesland45.67145.144.415.25.4 %95.2
Göppingen45.45536.455.213.06.1 %105.5
Region Hannover45.46750.037.311.56.9 %94.2
Passau45.26250.836.611.65.9 %98.0
Mannheim45.04734.055.514.67.6 %94.4
Solingen45.04529.062.015.76.6 %100.6
Goslar45.05953.534.713.75.2 %94.9
Stendal45.06168.212.06.93.1 %87.7
Freyung-Grafenau44.95662.520.07.95.0 %96.9
Merzig-Wadern44.86247.840.618.94.7 %83.4
Groß-Gerau44.85442.446.011.48.7 %91.7
Emmendingen44.76254.230.38.95.9 %101.8
Aurich44.57450.537.116.35.1 %92.5
Garmisch-Partenkirchen44.47054.730.37.45.2 %113.9
Berchtesgadener Land44.46453.032.78.55.0 %102.8
Hamburg44.37240.645.811.68.8 %104.1
Ortenaukreis44.16446.639.311.35.6 %99.7
Mainz44.04437.050.013.57.4 %95.4
Wuppertal44.04427.061.021.86.0 %88.9
Zwickau43.85659.325.19.13.7 %92.9
Ostholstein43.86750.933.99.35.3 %107.1
Saarpfalz-Kreis43.66136.650.818.35.5 %100.5
Münster43.54423.564.017.18.5 %102.5
Oberspreewald-Lausitz43.16257.019.68.92.9 %88.4
Essen43.04320.067.017.67.1 %90.9
Cloppenburg42.76652.830.412.16.3 %95.4
Neunkirchen42.54526.061.530.15.0 %90.9
Kleve42.35742.541.616.45.7 %91.1
Bielefeld42.34928.756.320.07.9 %95.1
Freiburg im Breisgau42.04948.533.58.27.5 %95.5
Nürnberg41.04427.055.09.86.8 %95.6
Bochum41.04133.049.013.96.3 %87.3
Bonn40.54221.558.514.610.3 %102.2
Oldenburg (Oldb)40.54122.558.520.98.4 %92.5
Berlin40.44630.550.110.66.6 %92.1
Neu-Ulm40.36335.344.811.25.8 %106.3
Städteregion Aachen40.35943.635.311.76.8 %89.9
Heidekreis40.16151.223.58.55.1 %92.1
Regionalverband Saarbrücken40.05833.048.020.95.4 %88.0
Braunschweig40.04229.050.510.28.7 %97.7
Altötting39.65842.235.611.56.5 %102.9
Paderborn39.64744.734.414.17.4 %96.3
Suhl39.55648.527.09.43.8 %93.7
Mülheim an der Ruhr39.03930.049.014.96.3 %100.5
Stuttgart38.53922.054.59.213.0 %110.3
Karlsruhe38.54020.057.016.48.6 %100.1
Chemnitz38.54729.547.510.44.5 %87.5
Gelsenkirchen38.54239.537.512.24.6 %70.8
Rostock38.55151.023.59.04.4 %84.3
Wartburgkreis38.15545.828.510.03.5 %93.5
Rosenheim38.03823.054.014.76.1 %99.2
Heilbronn38.03830.046.05.06.1 %142.9
Dortmund36.34229.743.015.06.8 %85.1
Ingolstadt36.03621.052.010.816.1 %100.7
Mönchengladbach36.04027.545.010.75.8 %89.6
Herne36.03627.045.014.64.0 %77.1
Hamm35.34731.339.713.05.1 %81.7
Neustadt an der Weinstraße35.03526.047.014.76.3 %110.8
Heidelberg35.03527.042.06.17.8 %108.1
Ludwigshafen am Rhein35.03523.046.013.26.1 %81.8
Amberg35.03522.052.020.96.9 %95.3
Trier35.03523.046.020.8*6.3 %91.8
Hagen35.03533.037.015.24.8 %84.2
Osnabrück35.03521.049.012.48.1 %99.3
Brandenburg an der Havel35.05842.024.011.54.5 %81.8
Kiel35.03518.052.011.76.1 %88.1
Pforzheim34.03416.052.011.66.5 %94.3
Würzburg33.53525.042.08.77.5 %102.9
Ansbach33.03313.053.012.16.3 %94.9
Coburg33.03317.060.017.26.4 %107.9
Bremen33.03723.743.310.26.1 %94.4
Duisburg32.53524.041.09.54.5 %74.2
Bremerhaven32.53424.542.019.65.1 %77.2
Weimar32.03234.029.08.45.4 %88.5
Neumünster32.03733.531.09.56.3 %86.5
Dresden31.73824.039.39.84.9 %90.3
Regensburg31.03122.039.06.18.7 %103.2
Cottbus30.75440.318.310.63.8 %85.9
Salzgitter30.73938.021.37.44.3 %83.3
Koblenz30.03013.047.012.98.4 %93.1
Jena30.03028.033.07.35.3 %91.2
Magdeburg29.53024.534.59.44.8 %85.3
Pirmasens29.02914.049.026.35.0 %80.9
Erfurt28.73223.734.010.95.4 %88.8
Landshut28.02818.037.014.16.4 %110.4
Dessau-Roßlau27.53528.526.511.83.8 %88.6
Kassel26.02917.034.59.97.3 %85.5
Leipzig25.02617.533.08.85.3 %83.2
Kaiserslautern24.02419.029.08.86.5 %79.5
Lübeck24.02417.030.08.06.0 %90.1
Halle (Saale)23.02316.032.011.13.7 %80.3
Schwerin23.02323.023.08.84.5 %85.5
Landau in der Pfalz22.02220.025.011.86.9 %92.1
Flensburg22.02218.025.09.36.9 %83.3
Frankfurt (Oder)20.02021.019.07.93.5 %78.9
Gera17.01711.024.06.83.6 %86.4

How it is calculated

Each factor is mapped onto 0–100 through a scoring curve; between the support points it is interpolated linearly. The overall value is the weighted average of the available factors. If a factor lacks a basis it is dropped, and the remaining weights are put back into proportion.

Taken into account: charge points and operators nearby, charging power, distance to the nearest fast charger, charge-point density, development of the stock, reported outages and occupancy of local charge points, electric cars per district (KBA), daily traffic at permanent counting stations (BASt), disposable income per inhabitant (VGRdL).

Deliberately not taken into account: commuter flows, parking space, destinations such as retail, restaurants and workplaces, traffic on state, district and municipal roads. This data is not available to the application. It is neither estimated nor derived from proxy figures.

Sources:

The same programmatically via the interface