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The Catchment Area People Print & Details Page

Table of Contents


General Analysis

Hamburg Airport Helmut Schmidt (HAM) Airport Detail · Passenger Development · Seasonality · Catchment Area Percentage Map · Drivetime Isochrones Map · Catchment Area Analysis · Other Sources

Route Level Detail

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Introduction provides Airport Catchment Area Analyses for airlines, airports and consultants. These analyses are based purely on statistical data. As passenger acceptance is based also on many more factors, such as planned flight times, frequency, prices, reputation and awareness. As such, these analyses are basis for experienced route development or marketing experts for further interpretation.

Different from other offers, has developed highly sophisticated algorithms to identify the impact of competitive airport on the decision of travelers having the choice of different airports to fly from. Plans exist to add further statistical data with impact to these decisions, such as cross-border impact, ethnic and commercial relations between regions, regional buying power and tourism, also on route specific level.

Access licenses are valid for one year, during which all data updates on our server are available without additional charge! We recommend you to print this page (i.e. to PDF) for archiving. You may keep using the printed/saved data beyond that licensed time frame, but we offer reduced renewal rates and urge you to not use data older than two or three years!

Our maps are based on OpenStreetMap. As of the very large amount of data we process for each and every map, the loading of the maps require some time and also download of data into your browser, even on high speed lines. We already apply quite some caching techniques to reduce the data amount and we cache default map settings to avoid time-costly recalculation. We use a default blue color (#0000a0, RGB 0,0,160) and default opacity values. Both values can be set globally, as well as individually per map in the user settings and the display of the competitive airports is optional as well. But we believe the resulting flexibility with the maps justify the little extra time they require.

In order to print or save our maps, please click the -icon next to the map headline in this document or the -icon in the dashboard on the map-widget to open the map in an empty browser window. There, the and are missing, but you can simply click into the map and use the + and - keys on your keyboard to resize the map and the mouse to center it as you like. If you change into full-screen mode (F11) you can do a screen shot and save that to a graphics program, Word or Powerpoint. A more detailed explanation in the Manual.

Important Demo Note: You get what you see. Nothing more. Nothing less. It took us four years and help from exceptionally competent people around the world to compile our database and develop the highly complex algorithms we use. No, we cannot recommend to repeat that "stunt". This is unique data in exceptional quality. And we will improve it. That is a promise! And from now on, we'd like to take you on the journey.

If you like what you see in the demo (supporting the airports of Hamburg, Munich and Paderborn), we strongly recommend you to log in or register. You will then get access on the dashboard to the basic airport data for currently +570 European airports, including the Isochrones Map (no competitive analysis) and the total population of the third isochrone. As you can see in our demos, our value is to calculate the detailed isochrones and especially the impact of the neighboring airports.

The new dashboard layout supporting two airports has been developed to support further route level calculations for the catchment area, which are expected to be released in 2016.

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General Airport Information: HAM

Airport Name (Code) Hamburg Airport Helmut Schmidt (HAM)
Location Hamburg, DE
GEOdata (lat/lon) 53.631975, 10.006387
Last Passengers (year) 17,234,229 (2018) Isochrones 60/90/120/180 min
Wikipedia: Hamburg Airport (IATA: HAM, ICAO: EDDH), known in German as Flughafen Hamburg, is the international airport of Hamburg, the second-largest city in Germany. It is located 8.5 km (5.3 mi) north of the city center in the Fuhlsbüttel quarter and serves as a base for Germanwings, Condor and easyJet.

Other Sources

All Airport Analysis Hamburg Airport Helmut Schmidt (HAM) Copyright © 2020

Passenger Development

Year2018 2017 2016 2015 2014
Passengers17,234,229 17,622,997 16,224,154 15,610,072 14,760,280

2013 2012 2011 2010 2009
13,502,553 13,697,402 13,558,261 12,962,429 12,229,319

The passenger development gives an indication of the past (max. 10) years of the airport's passenger trend. We emphasize that this is a pure look into the past and that difference makers are marketing, reputation, air services and price levels.


2018 01 02 03 04 05 06
Passengers 1,093,836 1,088,608 1,373,537 1,425,529 1,557,479 1,525,493

07 08 09 10 11 12
1,707,591 1,597,034 1,689,170 1,683,752 1,277,671 1,214,529 Seasonal Variation in Demand factor (SVID): 2.7 Good

Airlines operating year-round, it is vital to understand the seasonality. But keep in mind that these figures do not take into account seasonal (charter) flights i.e. from Northern Europe to the Mediterranean. So we recommend to discuss the real seasonality with the airport.

All Airport Analysis Hamburg Airport Helmut Schmidt (HAM) Copyright © 2020


Catchment Area Percentage Map

This map reflects the impact of the airport in the catchment area under consideration of the competing airports. For the analysis we have a European-wide population database on municipality level or similar. Based on this smallest common denominator, drive times to surrounding airports are calculated. Out of 979 airports in Europe in our database, 595 qualify for analysis as they publish passenger figures.

The default coloring starts at 8% opacity for 0-10% impact. It adds 8% opacity in steps by 10% until a theoretical impact of 100%. Registered users can adjust the opacity, in that case the copyright is followed by the icon and the multiplier applied.

Demo Note: This is a default setting. Customers can adjust the default opacity and color for airports they purchase(d) an analysis for in the settings. In that case, the copyright note contains an editor symbol and the multiplier applied to the opactiy and color code.

All Airport Analysis Hamburg Airport Helmut Schmidt (HAM) Copyright © 2020

Drivetimes Isochrones Map

Here we have the classic Isochrones Map. We are not convinced that this one is very helpful in reality, as in almost any case, we have competitive airports and the drive time to the airport is not really of relevance, except as a necessary base for the more detailed calculation of percentages as we do it in our Catchment Area Percentage Map.

The coloring for the isochrones starts at 15% opacity for Zone 4, 30% for Zone 3, 45% for Zone 2 and 60% for Zone 1 (core zone).

Demo Note: This is also just a default setting. Customers can adjust the color for airports they purchase(d) an analysis for in the settings. In general, we have made the experience that Zone 4 is rather "useless", more "statistical noise" than any real value. But many airports demand and imply the "higher reach". A registered user can enable to show a fourth Isochrone Zone.

All Airport Analysis Hamburg Airport Helmut Schmidt (HAM) Copyright © 2020

Catchment Area Analysis

Classic Competitive
Zone 1:
60 min
3,811,555 2,166,723 Zone 1:
0 - 60 min
3,811,555 2,166,723
Zone 2:
90 min
6,318,167 3,100,855 Zone 2:
+60 - 90 min
2,506,612 934,132
Zone 3:
120 min
9,540,130 3,683,272 Zone 3:
+90 - 120 min
3,221,963 582,417
Zone 4:
180 min
21,036,806 4,461,376 Zone 4:
+120 - 180 min
11,496,676 778,104

Passenger : Catchment Ratio (Zone 3) = 4.68 : 1 (Germany 2.79 : 1)

The Classic Isochrone calculation provided figures for the drive times zones. The new figures provide you instantly exact data on the reachable population under consideration of competitive airports.
Soon these calcuations will also be possible on a route level as well.

Top 20 Cities in the catchment area by population

# Municipality Catchment
1 Hamburg 1,036,314 15:54
2 Kiel 142,575 64:02
3 Bremen 68,903 86:77
4 Lübeck 67,403 53:31
5 Hannover 54,078 104:95
6 Norderstedt 51,476 13:04
7 Neumünster 46,579 47:71
8 Rostock 36,512 115:69
9 Schwerin 34,468 83:11
10 Lüneburg 34,403 52:42
11 Kleve 32,123 45:78
12 Elmshorn 31,663 27:85
13 Flensburg 30,454 98:78
14 Pinneberg 27,562 18:27
15 Stade 23,389 64:56
16 Wedel 20,898 28:87
17 Itzehoe 20,347 40:24
18 Seevetal 19,803 30:97
19 Buxtehude 19,022 46:02
20 Oldenburg 18,754 113:64

Other Sources