Best Cities to Start an Online Business - UK - Sellics

2018 Shipping Price Index

One of the most important factors for E-commerce businesses is the cost of shipping. It not only affects profit margins but a company’s ability to stay competitive. This map reveals how the average cost of sending a package differs in 40 G20 and EU countries around the world.

The heat map below illustrates the average cost of sending a 2kg package using local express shipping.

The scale reveals how expensive or inexpensive it is to ship a package, with red indicating very expensive, amber indicating an average cost and green indicating inexpensive comparable costs. These numbers are then expressed as a deviation percentage, as can be seen in the data table.

Country
% Medium Deviation*
Romania-71.96%
Indonesia -70.25%
Bulgaria -70.18%
Turkey -65.91%
China -63.38%
Austria -63.17%
Latvia -56.94%
South Korea -55.49%
Cyprus -54.84%
Hungary -53.97%
Czech Republic -52.08%
Belgium -51.77%
Croatia -46.94%
Slovakia -46.07%
Japan -42.31%
Russia -32.71%
Switzerland -31.13%
South Africa -31.06%
Lithuania -23.18%
Portugal -21.51%
Mexico -21.33%
Estonia -18.79%
Spain-17.21%
Poland-16.48%
Slovenia-10.11%
Malta 0.85%
Sweden3.53%
Greece5.06%
Canada7.23%
Italy13.13%
Denmark29.33%
Finland39.44%
Ireland56.98%
United Kingdom67.41%
Saudi Arabia74.18%
Germany83.29%
Australia102.89%
France103.72%
Netherlands114.42%
United States 385.78%
* % Difference Of Local Costs Compared To World Average

Best Cities for Launching

an Online Business in the UK

How much savings you need to start a web-based venture in the UK (and around the world)

  • Calculating how many months you need to save if you want to quit your job
  • Detailing if unemployment benefits are sufficient to start a business if you get laid off
  • Revealing the locations with the best online business infrastructure

At Sellics, our mission is to help entrepreneurs optimize their success on the Amazon Marketplace. As we work with sellers from all over the globe, we thought it would be interesting to find out which cities around the world are the best for launching an online business. With the evolution of modern e-commerce solutions such as dropshipping, companies no longer require inventory to get their business off the ground, and millions are now taking the opportunity to make a living online.

Whether an individual is looking to quit their job and want to know how many months they should save for, or if they’ve just been laid off and want to know if it’s possible to start a new venture solely on unemployment benefits, this study highlights that the feasibility of launching a web business depends mostly on the affordability of the location.

Read More
  •  Access to financing
  •  Ease of import/export
  •  Online purchasing popularity
  •  Internet Speed
  •  Time to register new venture
  •  Cost of venture & living expenses (% of annual wages)
  •  Total venture setup costs
  •  Average monthly living costs
  •  12 Month unemployment benefits
  •  Cost of venture & living expenses
  •  Required savings if receiving unemployment benefits
  •  Registration
  •  Online business setup fee
  •  Computer
  •  Capital
  •  Rent
  •  Cost of Living
  •  Internet Cost
  •  Healthcare
  •  Average monthly wage
  •  Unemployment benefits granted (# of months)
  •  Unemployment benefits (as % of average wage)

Best UK Cities to Start an Online Business

The following table is sorted by the fifth column named “Monthly salary to save for the start of the online business WITHOUT unemployment benefits” which accounts for the number of monthly salaries a person needs to save in each city without unemployment benefits.

  Reference Costs
  Savings Required to Start an Online Business Online Venture Infrastructure (Scores) Costs & Benefits One-Off Costs Monthly Costs Income & Benefits
Rank City Country Best City to Start an Online Business Months required Without benefits Months required With benefits
Access To Financing
Ease of import/export
Online purchasing popularity
Internet Speed
Time to register new venture
Cost of Venture & Living Expenses, % of Annual Wages (%)
%
Total venture setup costs
£
Average monthly living costs
£
12 Month unemployment benefits
£
Cost of venture & living expenses
£
Required savings if receiving unemployment benefits
£
Registration
£
Online business setup fee
£
Computer
£
Capital
£
Rent
£
Cost of Living
£
Internet Cost
£
Healthcare
£
Average Wage, Per Month
£
Unemployment Benefits Granted, Months
Unemployment Benefits as % of Average Wage (%)
%
1 Sheffield United Kingdom 9.01 5.2 4.5 6.0 7.9 10.0 2.9 9.2 43.7 1,290 1,166 2,380 15,276 17195 12 62 1,217 0 570 545 24 27 2916 6 13.6
2 Nottingham United Kingdom 8.98 5.4 4.6 6.0 7.9 10.0 2.9 9.2 44.9 1,290 1,201 2,380 15,699 17759 12 62 1,217 0 565 585 24 27 2916 6 13.6
3 Leicester United Kingdom 8.97 5.4 4.6 6.0 7.9 10.0 2.9 9.2 45 1,290 1,204 2,380 15,735 17807 12 62 1,217 0 551 602 24 27 2916 6 13.6
4 Glasgow United Kingdom 8.95 5.5 4.8 6.0 7.9 10.0 2.9 9.2 45.8 1,290 1,229 2,380 16,041 18215 12 62 1,217 0 602 572 29 27 2916 6 13.6
5 Liverpool United Kingdom 8.94 5.5 4.8 6.0 7.9 10.0 2.9 9.2 46.1 1,290 1,238 2,380 16,140 18347 12 62 1,217 0 631 555 25 27 2916 6 13.6
6 Leeds United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 47.9 1,290 1,289 2,380 16,761 19157 12 62 1,217 0 635 595 32 27 2916 6 13.6
7 Cardiff United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 48 1,290 1,293 2,380 16,806 19235 12 62 1,217 0 682 557 28 27 2916 6 13.6
8 Birmingham (UK) United Kingdom 8.82 6.0 5.2 6.0 7.9 10.0 2.9 9.2 49.8 1,290 1,343 2,380 17,409 20039 12 62 1,217 0 723 563 30 27 2916 6 13.6
9 Manchester United Kingdom 8.77 6.2 5.4 6.0 7.9 10.0 2.9 9.2 51.4 1,290 1,392 2,380 17,994 20819 12 62 1,217 0 709 630 26 27 2916 6 13.6
10 Edinburgh United Kingdom 8.73 6.3 5.5 6.0 7.9 10.0 2.9 9.2 52.5 1,290 1,424 2,380 18,372 21323 12 62 1,217 0 744 623 30 27 2916 6 13.6
11 Bristol United Kingdom 8.66 6.6 5.8 6.0 7.9 10.0 2.9 9.2 54.8 1,290 1,491 2,380 19,182 22403 12 62 1,217 0 804 631 29 27 2916 6 13.6
12 Newcastle United Kingdom 8.64 6.7 6.0 6.0 7.9 10.0 2.9 9.2 55.6 1,290 1,514 2,380 19,461 22775 12 62 1,217 0 824 623 41 27 2916 6 13.6
13 London United Kingdom 7.66 10.4 9.6 6.0 7.9 10.0 2.9 9.2 86.4 1,290 2,412 2,380 30,234 37139 12 62 1,217 0 1,595 760 30 27 2916 6 13.6

Best International Cities to Start an Online Business

The following table is sorted by the fifth column named “Monthly salary to save for the start of the online business WITHOUT unemployment benefits” which accounts for the number of monthly salaries a person needs to save in each city without unemployment benefits.

  Reference Costs
  Savings Required to Start an Online Business Online Venture Infrastructure (Scores) Costs & Benefits One-Off Costs Monthly Costs Income & Benefits
Rank City Country Best City to Start an Online Business Months required Without benefits Months required With benefits
Access To Financing
Ease of import/export
Online purchasing popularity
Internet Speed
Time to register new venture
Cost of Venture & Living Expenses, % of Annual Wages (%)
%
Total venture setup costs
£
Average monthly living costs
£
12 Month unemployment benefits
£
Cost of venture & living expenses
£
Required savings if receiving unemployment benefits
£
Registration
£
Online business setup fee
£
Computer
£
Capital
£
Rent
£
Cost of Living
£
Internet Cost
£
Healthcare
£
Average Wage, Per Month
£
Unemployment Benefits Granted, Months
Unemployment Benefits as % of Average Wage (%)
%
1 Quebec Canada 7.70 4.6 0.0 8.0 6.0 3.5 6.5 10.0 37.9 1,163 1,095 15,267 14,303 0 116.25 62 985 0 398 599 34 65.25 3144 8 60.7
2 Winnipeg Canada 7.57 5.1 0.0 8.0 6.0 3.5 6.5 10.0 42.1 1,163 1,226 17,176 15,869 0 116.25 62 985 0 542 578 41 65.25 3144 9 60.7
3 Sheffield United Kingdom 9.01 5.2 4.5 6.0 7.9 10.0 2.9 9.2 43.7 1,290 1,166 2,380 15,276 17195 12 62 1,217 0 570 545 24 27 2916 6 13.6
4 Montreal Canada 7.51 5.3 0.0 8.0 6.0 3.5 6.5 10.0 43.9 1,163 1,285 17,176 16,580 0 116.25 62 985 0 604 578 38 65.25 3144 9 60.7
5 Nottingham United Kingdom 8.98 5.4 4.6 6.0 7.9 10.0 2.9 9.2 44.9 1,290 1,201 2,380 15,699 17759 12 62 1,217 0 565 585 24 27 2916 6 13.6
6 Leicester United Kingdom 8.97 5.4 4.6 6.0 7.9 10.0 2.9 9.2 45 1,290 1,204 2,380 15,735 17807 12 62 1,217 0 551 602 24 27 2916 6 13.6
7 Adelaide Australia 7.42 5.5 2.8 9.0 0.0 6.9 0.0 9.7 45.5 1,328 1,554 10,018 19,976 13278 256.5 62 1,010 0 758 635 43 118.5 3661.5 12 22.8
8 Glasgow United Kingdom 8.95 5.5 4.8 6.0 7.9 10.0 2.9 9.2 45.8 1,290 1,229 2,380 16,041 18215 12 62 1,217 0 602 572 29 27 2916 6 13.6
9 Liverpool United Kingdom 8.94 5.5 4.8 6.0 7.9 10.0 2.9 9.2 46.1 1,290 1,238 2,380 16,140 18347 12 62 1,217 0 631 555 25 27 2916 6 13.6
10 Marseille France 8.36 5.60 0.0 1.0 10.0 6.90 7.80 9.40 46.5 1,577 1,157 22,562 15,464 0 212.25 62 1,302 1 501 576 26 54 2769 12 67.9
11 Perth Australia 7.37 5.7 3.0 9.0 0.0 6.9 0.0 9.7 47.2 1,328 1,619 10,018 20,759 14322 256.5 62 1,010 0 800 660 41 118.5 3661.5 12 22.8
12 Leeds United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 47.9 1,290 1,289 2,380 16,761 19157 12 62 1,217 0 635 595 32 27 2916 6 13.6
13 Cardiff United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 48 1,290 1,293 2,380 16,806 19235 12 62 1,217 0 682 557 28 27 2916 6 13.6
14 Lille France 8.30 5.8 0.0 1.0 10.0 6.9 7.8 9.4 48.6 1,577 1,214 22,562 16,139 0 212.25 62 1,302 1 539 598 23 54 2769 12 67.9
15 Ottawa-Gatineau Canada 7.36 5.9 1.0 8.0 6.0 3.5 6.5 10.0 48.7 1,163 1,435 15,267 18,380 4150 116.25 62 985 0 726 603 41 65.25 3144 8 60.7
16 Calgary Canada 7.35 5.9 0.0 8.0 6.0 3.5 6.5 10.0 49 1,163 1,445 19,084 18,506 0 116.25 62 985 0 693 644 44 65.25 3144 10 60.7
17 Toulouse France 8.27 5.9 0.0 1.0 10.0 6.9 7.8 9.4 49.5 1,577 1,239 22,562 16,445 0 212.25 62 1,302 1 502 661 23 54 2769 12 67.9
18 Birmingham (UK) United Kingdom 8.82 6.0 5.2 6.0 7.9 10.0 2.9 9.2 49.8 1,290 1,343 2,380 17,409 20039 12 62 1,217 0 723 563 30 27 2916 6 13.6
19 Bordeaux France 8.24 6.0 0.0 1.0 10.0 6.9 7.8 9.4 50.3 1,577 1,262 22,562 16,724 0 212.25 62 1,302 1 508 675 26 54 2769 12 67.9
20 Brisbane Australia 7.27 6.1 3.4 9.0 0.0 6.9 0.0 9.7 50.4 1,328 1,736 10,018 22,154 16182 256.5 62 1,010 0 952 624 41 118.5 3661.5 12 22.8
21 The Hague Netherlands 8.78 6.1 2.4 0.0 10.0 9.4 7.2 9.4 50.5 2,953 1,493 12,749 20,863 10818 1590 62 1,301 0 722 691 32 47.25 3441 5 74.1
22 Eindhoven Netherlands 8.76 6.2 2.5 0.0 10.0 9.4 7.2 9.4 51.3 2,953 1,518 12,749 21,169 11226 1590 62 1,301 0 797 645 29 47.25 3441 5 74.1
23 Manchester United Kingdom 8.77 6.2 5.4 6.0 7.9 10.0 2.9 9.2 51.4 1,290 1,392 2,380 17,994 20819 12 62 1,217 0 709 630 26 27 2916 6 13.6
24 Melbourne Australia 7.22 6.2 3.5 9.0 0.0 6.9 0.0 9.7 51.7 1,328 1,781 10,018 22,694 16902 256.5 62 1,010 0 973 651 38 118.5 3661.5 12 22.8
25 Edinburgh United Kingdom 8.73 6.3 5.5 6.0 7.9 10.0 2.9 9.2 52.5 1,290 1,424 2,380 18,372 21323 12 62 1,217 0 744 623 30 27 2916 6 13.6
26 Rotterdam Netherlands 8.65 6.6 2.9 0.0 10.0 9.4 7.2 9.4 54.6 2,953 1,634 12,749 22,555 13074 1590 62 1,301 0 885 665 37 47.25 3441 5 74.1
27 Bristol United Kingdom 8.66 6.6 5.8 6.0 7.9 10.0 2.9 9.2 54.8 1,290 1,491 2,380 19,182 22403 12 62 1,217 0 804 631 29 27 2916 6 13.6
28 Lyon France 8.10 6.6 0.0 1.0 10.0 6.9 7.8 9.4 54.8 1,577 1,387 22,562 18,218 0 212.25 62 1,302 1 598 709 26 54 2769 12 67.9
29 Newcastle United Kingdom 8.64 6.7 6.0 6.0 7.9 10.0 2.9 9.2 55.6 1,290 1,514 2,380 19,461 22775 12 62 1,217 0 824 623 41 27 2916 6 13.6
30 Nice France 8.04 6.8 0.0 1.0 10.0 6.9 7.8 9.4 56.6 1,577 1,437 22,562 18,821 0 212.25 62 1,302 1 668 694 22 54 2769 12 67.9
31 Utrecht Netherlands 8.59 6.8 3.2 0.0 10.0 9.4 7.2 9.4 56.7 2,953 1,706 12,749 23,428 14238 1590 62 1,301 0 923 707 29 47.25 3441 5 74.1
32 Osaka Japan 6.50 7.0 3.8 2.0 5.4 3.2 7.1 7.0 58.4 1,120 1,298 7,649 16,690 12055 96 62 962 0 516 702 31 48.75 2382.75 6 53.5
33 Naples Italy 5.82 7.1 0.0 0.0 10.0 0.0 1.2 8.6 59 2,320 1,076 16,592 15,226 0 906.75 62 1,351 1 440 569 24 42.75 2150.25 12 64.3
34 Malmö Sweden 8.61 7.2 1.9 2.0 9.3 9.8 7.8 8.5 59.5 5,781 1,250 15,419 20,784 7153 162.75 62 1,283 4,274 586 593 26 45.75 2909.25 10 53.0
35 Detroit United States 7.60 7.2 5.0 10.0 7.3 4.6 9.3 8.8 59.6 1,542 1,813 7,083 23,295 21616 506.25 62 974 0 808 628 44 333 3256.5 5 43.5
36 Oslo Norway 8.3 7.2 0.0 2.0 9.0 9.0 6.8 9.3 60.1 4,681 2,118 32,656 30,097 0 513 62 1,345 2,762 1,088 936 40 54.75 4173.75 12 65.2
37 Cleveland United States 7.55 7.3 4.8 10.0 7.3 4.6 9.3 8.8 61.1 1,542 1,739 7,981 22,413 19243 506.25 62 974 0 682 662 38 357.75 3057.75 6 43.5
38 Copenhagen Denmark 8.71 7.3 0.4 5.0 10.0 9.6 6.5 9.4 61.1 7,401 1,998 29,780 31,377 2129 79.5 62 1,339 5,921 1,136 787 29 47.25 4278.75 12 58.0
39 Graz Austria 7.10 7.4 3.6 2.0 10.0 5.9 0.8 4.5 61.4 7,574 1,305 12,142 23,234 14790 1794.75 62 1,302 4,416 488 734 24 60 3153.75 7 55.0
40 Vancouver Canada 6.95 7.4 2.6 8.0 6.0 3.5 6.5 10.0 61.5 1,163 1,838 15,267 23,213 10594 116.25 62 985 0 1,095 634 44 65.25 3144 8 60.7
41 Cincinnati United States 7.52 7.5 4.9 10.0 7.3 4.6 9.3 8.8 62 1,542 1,766 7,975 22,737 19683 506.25 62 974 0 739 623 42 363 3055.5 6 43.5
42 Toronto Canada 6.93 7.5 2.7 8.0 6.0 3.5 6.5 10.0 62.3 1,163 1,862 15,267 23,501 10978 116.25 62 985 0 1,061 698 38 65.25 3144 8 60.7
43 Turin Italy 5.71 7.5 0.0 0.0 10.0 0.0 1.2 8.6 62.5 2,320 1,150 16,592 16,117 0 906.75 62 1,351 1 471 612 24 42.75 2150.25 12 64.3
44 San Antonio United States 7.48 7.6 5.0 10.0 7.3 4.6 9.3 8.8 63.3 1,542 1,700 7,537 21,945 19211 506.25 62 974 0 695 572 44 388.5 2887.5 6 43.5
45 Linz Austria 7.03 7.6 3.8 2.0 10.0 5.9 0.8 4.5 63.6 7,574 1,374 12,142 24,062 15894 1794.75 62 1,302 4,416 556 738 20 60 3153.75 7 55.0
46 Tucson United States 7.47 7.6 5.1 10.0 7.3 4.6 9.3 8.8 63.6 1,542 1,706 7,526 22,008 19309 506.25 62 974 0 512 631 51 512.25 2883.75 6 43.5
47 Fort Worth United States 7.46 7.7 5.1 10.0 7.3 4.6 9.3 8.9 63.9 1,542 1,918 8,360 24,555 21593 506.25 62 974 0 841 631 45 401.25 3203.25 6 43.5
48 Helsinki Finland 7.47 7.7 0.0 4.0 7.4 7.8 1.9 6.5 64.3 3,907 1,640 23,785 23,581 0 291.75 62 1,346 2,208 812 737 21 69 3054 12 64.9
49 Louisville United States 7.44 7.7 5.2 10.0 7.3 4.6 9.3 8.8 64.5 1,542 1,689 7,356 21,810 19272 506.25 62 974 0 611 599 43 436.5 2818.5 6 43.5
50 Antwerp Belgium 7.20 7.8 0.0 0.0 10.0 5.5 4.0 9.3 64.5 8,537 1,370 25,825 24,980 0 1692 62 1,307 5,476 602 650 36 82.5 3226.5 12 66.7
51 Houston United States 7.44 7.8 5.2 10.0 7.3 4.6 9.3 8.8 64.6 1,542 2,044 8,780 26,067 23050 506.25 62 974 0 994 603 44 403.5 3363.75 6 43.5
52 Madison United States 7.44 7.8 5.2 10.0 7.3 4.6 9.3 8.8 64.5 1,542 1,976 8,513 25,248 22313 506.25 62 974 0 866 590 41 479.25 3261.75 6 43.5
53 Genova Italy 5.64 7.8 0.1 0.0 10.0 0.0 1.2 8.6 64.8 2,320 1,200 16,592 16,720 171 906.75 62 1,351 1 452 682 23 42.75 2150.25 12 64.3
54 Gothenburg Sweden 8.44 7.8 2.5 2.0 9.3 9.8 7.8 8.5 65 5,781 1,409 15,419 22,683 9685 162.75 62 1,283 4,274 707 632 24 45.75 2909.25 10 53.0
55 Ghent Belgium 7.17 7.9 0.0 0.0 10.0 5.5 4.0 9.3 65.4 8,537 1,400 25,825 25,331 0 1692 62 1,307 5,476 623 658 37 82.5 3226.5 12 66.7
56 Sydney Australia 6.77 7.9 5.2 9.0 0.0 6.9 0.0 9.7 66.5 1,328 2,305 10,018 28,985 25290 256.5 62 1,010 0 1,439 710 38 118.5 3661.5 12 22.8
57 Dublin Ireland 6.58 7.9 5.0 5.0 5.7 4.2 3.0 9.0 66 1,557 2,159 10,423 27,468 22727 150 62 1,346 0 1,323 724 44 68.25 3467.25 9 33.4
58 Vienna Austria 6.94 8.0 4.2 2.0 10.0 5.9 0.8 4.5 66.3 7,574 1,460 12,142 25,097 17274 1794.75 62 1,302 4,416 713 662 26 60 3153.75 7 55.0
59 Buffalo United States 7.73 8.0 5.5 10.0 7.3 4.6 9.3 8.8 66.8 1,542 1,882 7,859 24,123 21685 506.25 62 974 0 703 656 48 474.75 3011.25 6 43.5
60 Las Vegas United States 7.36 8.0 5.5 10.0 7.3 4.6 9.3 8.8 67 1,542 1,732 7,250 22,323 20097 506.25 62 974 0 674 614 48 396.75 2778 6 43.5
61 Milwaukee United States 7.36 8.1 5.5 10.0 7.3 4.6 9.3 8.8 67.2 1,542 1,973 8 25,221 22736 506.25 62 974 0 800 649 43 481.5 3129.75 6 43.5
62 Tulsa United States 7.35 8.1 5.5 10.0 7.3 4.6 9.3 8.9 67.5 1,542 1,781 7,384 22,917 20711 506.25 62 974 0 570 606 54 551.25 2829 6 43.5
63 Bologna Italy 5.55 8.1 0.5 0.0 10.0 0.0 1.2 8.6 67.7 2,320 1,262 16,592 17,458 1155 906.75 62 1,351 1 554 641 23 42.75 2150.25 12 64.3
64 Sacramento/Roseville United States 7.32 8.2 5.6 10.0 7.3 4.6 9.3 8.8 68.3 1,542 2,219 8,973 28,173 25600 506.25 62 974 0 1,073 740 50 356.25 3438 6 43.5
65 Oklahoma city United States 7.32 8.2 5.7 10.0 7.3 4.6 9.3 8.8 68.5 1,542 1,844 7,515 23,673 21544 506.25 62 974 0 640 600 52 552.75 2879.25 6 43.5
66 Dallas United States 7.31 8.3 5.7 10.0 7.3 4.6 9.3 8.8 68.7 1,542 2,072 8,360 26,400 24053 506.25 62 974 0 989 636 46 401.25 3203.25 6 43.5
67 Brussels Belgium 7.06 8.3 0.3 0.0 10.0 5.5 4.0 9.3 68.9 8,537 1,513 25,825 26,690 1153 1692 62 1,307 5,476 707 686 38 82.5 3226.5 12 66.7
68 Jacksonville United States 7.28 8.4 7.1 10.0 7.3 4.6 9.3 8.8 69.7 1,542 1,865 3,732 23,925 26924 506.25 62 974 0 750 660 55 400.5 2859.75 3 43.5
69 Amsterdam Netherlands 8.17 8.4 4.7 0.0 10.0 9.4 7.2 9.4 69.8 2,953 2,157 12,749 28,837 21450 1590 62 1,301 0 1,325 751 35 47.25 3441 5 74.1
70 Portland United States 7.26 8.4 5.9 10.0 7.3 4.6 9.3 8.8 70.1 1,542 2,297 9,026 29,100 26765 506.25 62 974 0 1,153 722 47 374.25 3458.25 6 43.5
71 Indianapolis United States 7.26 8.4 5.9 10.0 7.3 4.6 9.3 8.8 70.2 1,542 1,979 7,836 25,284 23264 506.25 62 974 0 878 659 47 395.25 3002.25 6 43.5
72 Las Palmas Spain 6.77 8.4 1.9 3.0 10.0 3.6 8.1 6.8 70.3 5,039 1,033 13,657 17,432 5033 1020 62 1,307 2,650 497 464 30 42 2065.5 12 55.1
73 Denver United States 7.25 8.5 5.9 10.0 7.3 4.6 9.3 8.8 70.7 1,542 2,406 9,363 30,414 28068 506.25 62 974 0 1,231 667 47 461.25 3587.25 6 43.5
74 Phoenix United States 7.24 8.5 5.9 10.0 7.3 4.6 9.3 8.8 70.8 1,542 2,061 8,075 26,274 24266 506.25 62 974 0 867 620 52 522.75 3093.75 6 43.5
75 Salt Lake City United States 7.24 8.5 5.9 10.0 7.3 4.6 9.3 8.8 70.8 1,542 2,066 8,093 26,328 24314 506.25 62 974 0 896 602 45 522.75 3100.5 6 43.5
76 Seattle United States 7.23 8.6 6.0 10.0 7.3 4.6 9.3 8.8 71.2 1,542 2,680 10,297 33,699 31203 506.25 62 974 0 1,474 804 50 352.5 3945 6 43.5
77 Paris France 7.56 8.6 0.5 1.0 10.0 6.9 7.8 9.4 71.7 1,577 1,853 22,562 23,816 1672 212.25 62 1,302 1 1,001 773 25 54 2746.5 12 67.9
78 Valencia Spain 6.72 8.6 2.0 3.0 10.0 3.6 8.1 6.8 71.7 5,039 1,062 13,657 17,783 5501 1020 62 1,307 2,650 487 497 37 42 2065.5 12 55.1
79 Boston United States 7.21 8.6 5.6 10.0 7.3 4.6 9.3 8.8 71.9 1,542 2,980 13,163 37,299 32181 506.25 62 974 0 1,804 789 49 338.25 4323 7 43.5
80 Basel Switzerland 7.86 8.6 0.0 3.0 7.2 9.0 8.9 7.6 72 17,468 2,618 50,108 48,878 0 629.25 62 1,136 15,641 958 1,188 44 427.5 5658 12 73.8
81 Seville Spain 6.70 8.7 2.1 3.0 10.0 3.6 8.1 6.8 72.4 5,039 1,076 13,657 17,954 5729 1020 62 1,307 2,650 500 503 32 42 2065.5 12 55.1
82 Ostrava Czech Republic 6.54 8.8 5.6 5.0 10.0 4.7 1.2 3.5 73.1 1,634 620 3,364 9,077 7617 217.5 62 1,355 0 216 377 12 15 1035 5 65.0
83 Albany United States 7.14 8.9 6.3 10 7.3 4.6 9.3 8.8 74 1,542 1,926 7,247 24,654 23210 506.25 62 974 0 694 712 46 474.75 2776.5 6 43.5
84 Florence Italy 5.35 8.9 1.2 0.0 10.0 0.0 1.2 8.6 74 2,320 1,397 16,592 19,087 3327 906.75 62 1,351 1 649 682 24 42.75 2150.25 12 64.3
85 San Diego United States 7.14 8.9 6.3 10.0 7.3 4.6 9.3 8.8 74.1 1,542 2,483 9,203 31,332 29506 506.25 62 974 0 1,396 678 50 358.5 3525.75 6 43.5
86 Columbus United States 7.10 9 6.5 10.0 7.3 4.6 9.3 8.8 75.2 1,542 1,910 7,076 24,456 23173 506.25 62 974 0 875 630 44 361.5 2711.25 6 43.5
87 Tokyo Japan 5.95 9.1 5.9 2.0 5.4 3.2 7.1 7.0 75.6 1,120 1,707 7,649 21,604 18607 96 62 962 0 792 834 32 48.75 2382.75 6 53.5
88 Austin United States 7.08 9.1 6.5 10.0 7.3 4.6 9.3 8.8 75.9 1,542 2,331 8,456 29,514 28077 506.25 62 974 0 1,219 667 45 400.5 3240 6 43.5
89 Seoul Incheon South Korea 7.02 9.2 6.7 4.0 7.5 5.3 10.0 9.3 76.3 1,273 1,408 5,003 18,166 17551 87.75 62 1,124 0 569 777 18 43.5 1985.25 6 42.0
90 Tampa United States 7.06 9.2 7.9 10.0 7.3 4.6 9.3 8.8 76.5 1,542 2,075 3,758 26,436 30237 506.25 62 974 0 977 652 46 400.5 2880 3 43.5
91 Stockholm Sweden 8.06 9.2 4.0 2.0 9.3 9.8 7.8 8.5 77 5,781 1,754 15,419 26,832 15217 162.75 62 1,283 4,274 984 701 24 45.75 2909.25 10 53.0
92 Atlanta United States 7.04 9.3 7.6 10.0 7.3 4.6 9.3 8.8 77.3 1,542 2,354 5,589 29,793 32272 506.25 62 974 0 1,130 695 47 481.5 3212.25 4 43.5
93 Leipzig Germany 7.42 9.3 2.3 5.0 7.2 8.6 3.7 7.5 77.7 13,004 1,172 20,555 27,062 8676 601.5 62 1,302 11,039 428 644 26 74.25 2903.25 12 59.0
94 Orlando United States 7.01 9.4 8.1 10.0 7.3 4.6 9.3 8.8 78 1,542 2,037 3,623 25,986 29818 506.25 62 974 0 946 647 45 399 2775.75 3 43.5
95 Mannheim Germany 7.39 9.5 2.4 5.0 7.2 8.6 3.7 7.5 78.5 13,004 1,194 20,555 27,332 9036 601.5 62 1,302 11,039 439 658 23 74.25 2903.25 12 59.0
96 Chicago United States 6.99 9.5 6.9 10.0 7.3 4.6 9.3 8.8 78.7 1,542 2,536 8,834 31,971 30849 506.25 62 974 0 1,313 731 47 445.5 3384.75 6 43.5
97 Aachen Germany 7.37 9.5 2.5 5.0 7.2 8.6 3.7 7.5 79.3 13,004 1,220 20,555 27,638 9444 601.5 62 1,302 11,039 473 647 26 74.25 2903.25 12 59.0
98 Zurich Switzerland 7.63 9.5 0.7 3.0 7.2 9.0 8.9 7.6 79.3 17,468 3,029 50,108 53,819 4948 629.25 62 1,136 15,641 1,376 1,181 45 427.5 5658 12 73.8
99 Bremen Germany 7.36 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.5 13,004 1,226 20,555 27,710 9540 601.5 62 1,302 11,039 464 661 27 74.25 2903.25 12 59.0
100 Karlsruhe Germany 7.35 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.7 12,910 1,229 20,387 27,658 9695 596.25 62 1,302 10,949 481 652 23 74.25 2879.25 12 59.0
101 Geneva Switzerland 7.61 9.6 0.8 3.0 7.2 9.0 8.9 7.6 79.9 17,468 3,064 50,108 54,233 5500 629.25 62 1,136 15,641 1,468 1,111 58 427.5 5658 12 73.8
102 Dresden Germany 7.34 9.6 2.6 5.0 7.2 8.6 3.7 7.5 80.1 13,004 1,241 20,555 27,899 9792 601.5 62 1,302 11,039 479 665 23 74.25 2903.25 12 59.0
103 Rome Italy 5.15 9.6 2.0 0.0 10.0 0.0 1.2 8.6 80.3 2,320 1,534 16,592 20,725 5511 906.75 62 1,351 1 838 629 24 42.75 2150.25 12 64.3
104 Hanover Germany 7.32 9.7 2.7 5.0 7.2 8.6 3.7 7.5 80.7 13,004 1,260 20,555 28,124 10092 601.5 62 1,302 11,039 545 616 25 74.25 2903.25 12 59.0
105 Nuremberg Germany 7.28 9.8 2.8 5.0 7.2 8.6 3.7 7.5 81.9 13,004 1,294 20,555 28,529 10632 601.5 62 1,302 11,039 544 647 29 74.25 2903.25 12 59.0
106 Los Angeles United States 6.88 9.9 7.3 10.0 7.3 4.6 9.3 8.8 82.1 1,542 2,745 9,140 34,482 33790 506.25 62 974 0 1,598 748 44 356.25 3501.75 6 43.5
107 Milan Italy 5.08 9.9 2.2 0.0 10.0 0.0 1.2 8.6 82.4 2,320 1,578 16,592 21,256 6219 906.75 62 1,351 1 847 665 24 42.75 2150.25 12 64.3
108 Düsseldorf Germany 7.22 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84 13,004 1,356 20,555 29,276 11628 601.5 62 1,302 11,039 599 659 24 74.25 2903.25 12 59.0
109 Bonn Germany 7.21 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84.3 13,004 1,364 20,555 29,375 11760 601.5 62 1,302 11,039 574 693 23 74.25 2903.25 12 59.0
110 Cologne Germany 7.20 10.2 3.1 5.0 7.2 8.6 3.7 7.5 84.5 13,004 1,371 20,555 29,456 11868 601.5 62 1,302 11,039 616 653 28 74.25 2903.25 12 59.0
111 London United Kingdom 7.66 10.4 9.6 6.0 7.9 10.0 2.9 9.2 86.4 1,290 2,412 2,380 30,234 37139 12 62 1,217 0 1,595 760 30 27 2916 6 13.6
112 Madrid Spain 6.22 10.5 4.0 3.0 10.0 3.6 8.1 6.8 87.7 5,039 1,392 13,657 21,743 10781 1020 62 1,307 2,650 742 571 38 42 2065.5 12 55.1
113 Berlin Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88 13,004 1,472 20,555 30,671 13488 601.5 62 1,302 11,039 707 665 27 74.25 2903.25 12 59.0
114 Stuttgart Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88.1 13,004 1,473 20,555 30,680 13500 601.5 62 1,302 11,039 738 637 24 74.25 2903.25 12 59.0
115 Barcelona Spain 6.14 10.8 4.3 3.0 10.0 3.6 8.1 6.8 90.2 5,039 1,443 13,657 22,355 11597 1020 62 1,307 2,650 778 585 38 42 2065.5 12 55.1
116 Frankfurt Germany 7.01 10.9 3.8 5.0 7.2 8.6 3.7 7.5 90.4 12,913,004 1,540 20,555 31,481 14568 601.5 62 1,302 11,039 749 692 26 74.25 2903.25 12 59.0
117 Miami United States 6.62 10.9 9.6 10.0 7.3 4.6 9.3 8.8 90.4 1,542 2,520 3,822 31,782 37280 506.25 62 974 0 1,331 743 46 400.5 2928.75 3 43.5
118 San Francisco United States 6.60 10.9 8.3 10.0 7.3 4.6 9.3 8.8 90.9 1,542 3,831 11,369 47,514 48193 506.25 62 974 0 2,537 883 47 364.5 4356 6 43.5
119 Hamburg Germany 7.00 10.9 3.9 5.0 7.2 8.6 3.7 7.5 91 13,004 1,559 20,555 31,715 14880 601.5 62 1,302 11,039 743 715 28 74.25 2903.25 12 59.0
120 Porto Portugal 4.97 11.4 2.4 0.0 10.0 0.4 4.9 8.6 94.9 1,601 1,056 11,286 14,273 3983 194.25 62 1,346 0 526 460 26 45 1254 12 75.0
121 Munich Germany 6.77 11.8 4.7 5.0 7.2 8.6 3.7 7.5 98.1 13,004 1,765 20,555 34,181 18168 601.5 62 1,302 11,039 963 701 27 74.25 2903.25 12 59.0
122 Brno Czech Republic 5.72 11.9 8.7 5.0 10.0 4.7 1.2 3.5 98.9 1,634 887 3,364 12,281 11889 217.5 62 1,355 0 428 429 15 15 1035 5 65.0
123 New York United States 6.26 12.2 9.6 10.0 7.3 4.6 9.3 8.8 101.6 1,542 3,863 10,256 47,901 50194 506.25 62 974 0 2,399 942 46 476.25 3929.25 6 43.5
124 Katowice Poland 4.93 12.6 10.8 6.0 10.0 2.6 2.2 0.0 104.9 2,640 694 1,568 10,965 12530 238.5 62 1,311 1,029 275 381 11 27 870.75 6 30.5
125 Lisbon Portugal 4.48 13.2 4.3 0.0 10.0 0.4 4.9 8.6 110.3 1,601 1,250 11,286 16,595 7079 194.25 62 1,346 0 697 481 27 45 1254 12 75.0
126 Prague Czech Republic 5.14 14.1 10.9 5.0 10.0 4.7 1.2 3.5 117.2 1,634 1,077 3,364 14,558 14925 217.5 62 1,355 0 575 471 17 15 1035 5 65.0
127 Kraków Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 2,640 860 1,568 12,963 15194 238.5 62 1,311 1,029 418 405 11 27 870.75 6 30.0
128 Wroclaw Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 2,640 861 1,568 12,972 15206 238.5 62 1,311 1,029 418 405 11 27 870.75 6 30.0
129 Warsaw Poland 4.03 16 14.3 6 10.0 2.6 2.2 0.0 133.4 2,640 942 1,568 13,944 16502 238.5 62 1,311 1,029 479 425 11 27 870.75 6 30.0
130 Budapest Hungary 2.51 23.4 22.1 6.0 10.0 1.3 9.2 8.5 195.3 8,237 839 1,064 18,299 22981 2743.5 62 1,337 4,095 371 436 12 20.25 780.75 3 45.4

brian-johnson
Brian Johnson
“Any city that has seen the financial crisis, and still provides the minimum required infrastructure to its citizens to connect to the Internet, is an opportunity for community residents to pay their own income to provide better options and opportunities for the future. The extra work and hours and weekends are worth the result for the pride, income, and family health longterm.”

METHODOLOGY

This study determines the best cities for launching an online business, based on 22 factors relating to the online venture infrastructure, and the cost of both living and launching a business. *To choose the cities for the study, OECD nations were analyzed according to their available business infrastructure statistics in order to determine a final list of 130 cities.

Scoring


Scores are normalized such that 0=the lowest value in the final dataset and 10=the highest value in the final dataset. For columns where a low value is better, the score is inverted such that a high score is always better.

The score is inverted for the following columns:
“Time To Register New Venture”
“Cost of Venture & Living Expenses, % of Annual Wages”

Therefore, the higher the score, the better the city ranks for that factor in comparison to the other cities in the index. For example, a score of ‘9’ for “Time To Register New Venture” indicates that the city has a low number of days to register a new venture.

The equation for normalization is as follows:

score = 10 *x - min(X)max(X) - min(X); or scoreinverted = 10 -10 *x - min(X)max(X) - min(X)for inverted scores

Metropolitan Areas - Definition and Selection

The analysis was performed on metropolitan areas as defined by Eurostat/OECD. The shape and size of the metropolitan areas are determined through a data-driven process that identifies high-density urban centres and extends them to incorporate the commutable area surrounding the centre. The aim of the exercise is to create so-called “Functional Urban Areas” that represent the entire labour and commercial market of a city. In the United States, metropolitan areas are constructed through a similar process that also attempts to capture the extent of media markets.

The full methodology for the construction of “Functional Urban Areas” can be found here:
http://www.oecd.org/regional/regional-policy/Definition-of-Functional-Urban-Areas-for-the-OECD-metropolitan-database.pdf

The shapefiles for the “Functional Urban Areas” can be found here:
http://www.oecd.org/cfe/regional-policy/functionalurbanareasbycountry.htm

Savings Required to Start an Online Business
Online Venture Infrastructure (Scores)
Costs & Benefits
Reference One-Off Costs
Reference Monthly Costs
Reference Income & Benefits
Reference Aggregate Calculations
All currency exchanges correct as of 20/09/2018
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