Best Cities to Start an Online Business - Canada - 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 Canada

How much savings you need to start a web-based venture in Canada (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 Canadian 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
CAD $
Average monthly living costs
CAD $
12 Month unemployment benefits
CAD $
Cost of venture & living expenses
CAD $
Required savings if receiving unemployment benefits
CAD $
Registration
CAD $
Online business setup fee
CAD $
Computer
CAD $
Capital
CAD $
Rent
CAD $
Cost of Living
CAD $
Internet Cost
CAD $
Healthcare
CAD $
Average Wage, Per Month
CAD $
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 2,000 1,883 26,259 24,600 0 199.95 106 1,694 0 684 1,029 58 112.23 5407.68 8 60.7
2 Winnipeg Canada 7.57 5.1 0.0 8.0 6.0 3.5 6.5 10.0 42.1 2,000 2,108 29,542 27,294 0 199.95 106 1,694 0 931 993 71 112.23 5407.68 9 60.7
3 Montreal Canada 7.51 5.3 0.0 8.0 6.0 3.5 6.5 10.0 43.9 2,000 2,210 29,542 28,517 0 199.95 106 1,694 0 1,038 995 65 112.23 5407.68 9 60.7
4 Ottawa-Gatineau Canada 7.36 5.9 1.0 8.0 6.0 3.5 6.5 10.0 48.7 2,000 2,468 26,259 31,613 4150 199.95 106 1,694 0 1,249 1,037 70 112.23 5407.68 8 60.7
5 Calgary Canada 7.35 5.9 0.0 8.0 6.0 3.5 6.5 10.0 49 2,000 2,486 32,824 31,829 0 199.95 106 1,694 0 1,192 1,107 75 112.23 5407.68 10 60.7
6 Vancouver Canada 6.95 7.4 2.6 8.0 6.0 3.5 6.5 10.0 61.5 2,000 3,161 26,259 39,926 10594 199.95 106 1,694 0 1,883 1,090 75 112.23 5407.68 8 60.7
7 Toronto Canada 6.93 7.5 2.7 8.0 6.0 3.5 6.5 10.0 62.3 2,000 3,202 26,259 40,421 10978 199.95 106 1,694 0 1,824 1,201 65 112.23 5407.68 8 60.7

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
CAD $
Average monthly living costs
CAD $
12 Month unemployment benefits
CAD $
Cost of venture & living expenses
CAD $
Required savings if receiving unemployment benefits
CAD $
Registration
CAD $
Online business setup fee
CAD $
Computer
CAD $
Capital
CAD $
Rent
CAD $
Cost of Living
CAD $
Internet Cost
CAD $
Healthcare
CAD $
Average Wage, Per Month
CAD $
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 2,000 1,883 26,259 24,600 0 199.95 106 1,694 0 684 1,029 58 112.23 5407.68 8 60.7
2 Winnipeg Canada 7.57 5.1 0.0 8.0 6.0 3.5 6.5 10.0 42.1 2,000 2,108 29,542 27,294 0 199.95 106 1,694 0 931 993 71 112.23 5407.68 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 2,219 2,005 4,093 26,275 17195 20.64 106 2,092 0 980 937 41 46.44 5015.52 6 13.6
4 Montreal Canada 7.51 5.3 0.0 8.0 6.0 3.5 6.5 10.0 43.9 2,000 2,210 29,542 28,517 0 199.95 106 1,694 0 1,038 995 65 112.23 5407.68 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 2,219 2,065 4,093 27,002 17759 20.64 106 2,092 0 971 1,006 41 46.44 5015.52 6 13.6
6 Leicester United Kingdom 8.97 5.4 4.6 6.0 7.9 10.0 2.9 9.2 45 2,219 2,070 4,093 27,064 17807 20.64 106 2,092 0 948 1,035 41 46.44 5015.52 6 13.6
7 Adelaide Australia 7.42 5.5 2.8 9.0 0.0 6.9 0.0 9.7 45.5 2,285 2,673 17,231 34,359 13278 441.18 106 1,738 0 1,303 1,093 74 203.82 6297.78 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 2,219 2,114 4,093 27,591 18215 20.64 106 2,092 0 1,035 984 49 46.44 5015.52 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 2,219 2,129 4,093 27,761 18347 20.64 106 2,092 0 1,085 955 43 46.44 5015.52 6 13.6
10 Marseille France 8.36 5.60 0.0 1.0 10.0 6.90 7.80 9.40 46.5 2,712 1,990 38,806 26,597 0 365.07 106 2,239 1 862 991 45 92.88 4762.68 12 67.9
11 Perth Australia 7.37 5.7 3.0 9.0 0.0 6.9 0.0 9.7 47.2 2,285 2,785 17,231 35,706 14322 441.18 106 1,738 0 1,375 1,135 71 203.82 6297.78 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 2,219 2,218 4,093 28,829 19157 20.64 106 2,092 0 1,093 1,023 55 46.44 5015.52 6 13.6
13 Cardiff United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 48 2,219 2,224 4,093 28,906 19235 20.64 106 2,092 0 1,173 957 48 46.44 5015.52 6 13.6
14 Lille France 8.30 5.8 0.0 1.0 10.0 6.9 7.8 9.4 48.6 2,712 2,087 38,806 27,758 0 365.07 106 2,239 1 928 1,028 39 92.88 4762.68 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 2,000 2,468 26,259 31,613 4150 199.95 106 1,694 0 1,249 1,037 70 112.23 5407.68 8 60.7
16 Calgary Canada 7.35 5.9 0.0 8.0 6.0 3.5 6.5 10.0 49 2,000 2,486 32,824 31,829 0 199.95 106 1,694 0 1,192 1,107 75 112.23 5407.68 10 60.7
17 Toulouse France 8.27 5.9 0.0 1.0 10.0 6.9 7.8 9.4 49.5 2,712 2,131 38,806 28,285 0 365.07 106 2,239 1 863 1,136 39 92.88 4762.68 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 2,219 2,310 4,093 29,943 20039 20.64 106 2,092 0 1,244 969 52 46.44 5015.52 6 13.6
19 Bordeaux France 8.24 6.0 0.0 1.0 10.0 6.9 7.8 9.4 50.3 2,712 2,171 38,806 28,764 0 365.07 106 2,239 1 873 1,161 44 92.88 4762.68 12 67.9
20 Brisbane Australia 7.27 6.1 3.4 9.0 0.0 6.9 0.0 9.7 50.4 2,285 2,985 17,231 38,105 16182 441.18 106 1,738 0 1,637 1,073 71 203.82 6297.78 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 5,079 2,567 21,929 35,884 10818 2734.8 106 2,238 0 1,242 1,188 55 81.27 5918.52 5 74.1
22 Eindhoven Netherlands 8.76 6.2 2.5 0.0 10.0 9.4 7.2 9.4 51.3 5,079 2,611 21,929 36,410 11226 2734.8 106 2,238 0 1,370 1,109 50 81.27 5918.52 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 2,219 2,394 4,093 30,950 20819 20.64 106 2,092 0 1,219 1,084 45 46.44 5015.52 6 13.6
24 Melbourne Australia 7.22 6.2 3.5 9.0 0.0 6.9 0.0 9.7 51.7 2,285 3,062 17,231 39,034 16902 441.18 106 1,738 0 1,673 1,120 66 203.82 6297.78 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 2,219 2,448 4,093 31,600 21323 20.64 106 2,092 0 1,280 1,071 52 46.44 5015.52 6 13.6
26 Rotterdam Netherlands 8.65 6.6 2.9 0.0 10.0 9.4 7.2 9.4 54.6 5,079 2,810 21,929 38,794 13074 2734.8 106 2,238 0 1,522 1,143 63 81.27 5918.52 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 2,219 2,565 4,093 32,993 22403 20.64 106 2,092 0 1,383 1,085 50 46.44 5015.52 6 13.6
28 Lyon France 8.10 6.6 0.0 1.0 10.0 6.9 7.8 9.4 54.8 2,712 2,385 38,806 31,334 0 365.07 106 2,239 1 1,028 1,219 45 92.88 4762.68 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 2,219 2,605 4,093 33,473 22775 20.64 106 2,092 0 1,418 1,071 70 46.44 5015.52 6 13.6
30 Nice France 8.04 6.8 0.0 1.0 10.0 6.9 7.8 9.4 56.6 2,712 2,472 38,806 32,371 0 365.07 106 2,239 1 1,148 1,193 37 92.88 4762.68 12 67.9
31 Utrecht Netherlands 8.59 6.8 3.2 0.0 10.0 9.4 7.2 9.4 56.7 5,079 2,935 21,929 40,296 14238 2734.8 106 2,238 0 1,588 1,215 50 81.27 5918.52 5 74.1
32 Osaka Japan 6.50 7.0 3.8 2.0 5.4 3.2 7.1 7.0 58.4 1,926 2,232 13,155 28,706 12055 165.12 106 1,655 0 888 1,207 53 83.85 4098.33 6 53.5
33 Naples Italy 5.82 7.1 0.0 0.0 10.0 0.0 1.2 8.6 59 3,990 1,850 28,537 26,188 0 1559.61 106 2,323 1 757 978 41 73.53 3698.43 12 64.3
34 Malmö Sweden 8.61 7.2 1.9 2.0 9.3 9.8 7.8 8.5 59.5 9,943 2,150 26,521 35,748 7153 279.93 106 2,206 7,352 1,007 1,020 44 78.69 5003.91 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 2,652 3,118 12,183 40,067 21616 870.75 106 1,676 0 1,389 1,080 76 572.76 5601.18 5 43.5
36 Oslo Norway 8.3 7.2 0.0 2.0 9.0 9.0 6.8 9.3 60.1 8,051 3,643 56,168 51,766 0 882.36 106 2,313 4,750 1,871 1,610 68 94.17 7178.85 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 2,652 2,992 13,727 38,550 19243 870.75 106 1,676 0 1,173 1,138 66 615.33 5259.33 6 43.5
38 Copenhagen Denmark 8.71 7.3 0.4 5.0 10.0 9.6 6.5 9.4 61.1 12,730 3,437 51,222 53,968 2129 136.74 106 2,303 10,185 1,953 1,353 49 81.27 7359.45 12 58.0
39 Graz Austria 7.10 7.4 3.6 2.0 10.0 5.9 0.8 4.5 61.4 13,028 2,245 20,884 39,963 14790 3086.97 106 2,239 7,596 839 1,262 41 103.2 5424.45 7 55.0
40 Vancouver Canada 6.95 7.4 2.6 8.0 6.0 3.5 6.5 10.0 61.5 2,000 3,161 26,259 39,926 10594 199.95 106 1,694 0 1,883 1,090 75 112.23 5407.68 8 60.7
41 Cincinnati United States 7.52 7.5 4.9 10.0 7.3 4.6 9.3 8.8 62 2,652 3,038 13,717 39,108 19683 870.75 106 1,676 0 1,271 1,071 72 624.36 5255.46 6 43.5
42 Toronto Canada 6.93 7.5 2.7 8.0 6.0 3.5 6.5 10.0 62.3 2,000 3,202 26,259 40,421 10978 199.95 106 1,694 0 1,824 1,201 65 112.23 5407.68 8 60.7
43 Turin Italy 5.71 7.5 0.0 0.0 10.0 0.0 1.2 8.6 62.5 3,990 1,978 28,537 27,721 0 1559.61 106 2,323 1 810 1,053 41 73.53 3698.43 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 2,652 2,924 12,963 37,745 19211 870.75 106 1,676 0 1,196 984 76 668.22 4966.5 6 43.5
45 Linz Austria 7.03 7.6 3.8 2.0 10.0 5.9 0.8 4.5 63.6 13,028 2,363 20,884 41,387 15894 3086.97 106 2,239 7,596 956 1,269 35 103.2 5424.45 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 2,652 2,933 12,945 37,854 19309 870.75 106 1,676 0 880 1,085 88 881.07 4960.05 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 2,652 3,299 14,380 42,235 21593 870.75 106 1,676 0 1,446 1,085 77 690.15 5509.59 6 43.5
48 Helsinki Finland 7.47 7.7 0.0 4.0 7.4 7.8 1.9 6.5 64.3 6,720 2,820 40,910 40,559 0 501.81 106 2,314 3,798 1,397 1,268 36 118.68 5252.88 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 2,652 2,905 12,652 37,513 19272 870.75 106 1,676 0 1,050 1,031 74 750.78 4847.82 6 43.5
50 Antwerp Belgium 7.20 7.8 0.0 0.0 10.0 5.5 4.0 9.3 64.5 14,683 2,357 44,419 42,965 0 2910.24 106 2,248 9,418 1,035 1,118 62 141.9 5549.58 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 2,652 3,515 15,101 44,835 23050 870.75 106 1,676 0 1,709 1,037 75 694.02 5785.65 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 2,652 3,398 14,643 43,427 22313 870.75 106 1,676 0 1,489 1,014 71 824.31 5610.21 6 43.5
53 Genova Italy 5.64 7.8 0.1 0.0 10.0 0.0 1.2 8.6 64.8 3,990 2,064 28,537 28,758 171 1559.61 106 2,323 1 778 1,173 40 73.53 3698.43 12 64.3
54 Gothenburg Sweden 8.44 7.8 2.5 2.0 9.3 9.8 7.8 8.5 65 9,943 2,423 26,521 39,015 9685 279.93 106 2,206 7,352 1,216 1,086 41 78.69 5003.91 10 53.0
55 Ghent Belgium 7.17 7.9 0.0 0.0 10.0 5.5 4.0 9.3 65.4 14,683 2,407 44,419 43,568 0 2910.24 106 2,248 9,418 1,071 1,131 63 141.9 5549.58 12 66.7
56 Sydney Australia 6.77 7.9 5.2 9.0 0.0 6.9 0.0 9.7 66.5 2,285 3,964 17,231 49,855 25290 441.18 106 1,738 0 2,474 1,222 65 203.82 6297.78 12 22.8
57 Dublin Ireland 6.58 7.9 5.0 5.0 5.7 4.2 3.0 9.0 66 2,678 3,714 17,927 47,245 22727 258 106 2,314 0 2,276 1,245 76 117.39 5963.67 9 33.4
58 Vienna Austria 6.94 8.0 4.2 2.0 10.0 5.9 0.8 4.5 66.3 13,028 2,512 20,884 43,167 17274 3086.97 106 2,239 7,596 1,227 1,138 44 103.2 5424.45 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 2,652 3,237 13,518 41,492 21685 870.75 106 1,676 0 1,209 1,129 83 816.57 5179.35 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 2,652 2,979 12,470 38,396 20097 870.75 106 1,676 0 1,158 1,055 83 682.41 4778.16 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 2,652 3,394 13 43,380 22736 870.75 106 1,676 0 1,376 1,116 74 828.18 5383.17 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 2,652 3,064 12,700 39,417 20711 870.75 106 1,676 0 980 1,042 93 948.15 4865.88 6 43.5
63 Bologna Italy 5.55 8.1 0.5 0.0 10.0 0.0 1.2 8.6 67.7 3,990 2,170 28,537 30,027 1155 1559.61 106 2,323 1 953 1,103 40 73.53 3698.43 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 2,652 3,817 15,434 48,458 25600 870.75 106 1,676 0 1,846 1,273 85 612.75 5913.36 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 2,652 3,172 12,926 40,718 21544 870.75 106 1,676 0 1,100 1,032 89 950.73 4952.31 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 2,652 3,563 14,380 45,408 24053 870.75 106 1,676 0 1,700 1,094 79 690.15 5509.59 6 43.5
67 Brussels Belgium 7.06 8.3 0.3 0.0 10.0 5.5 4.0 9.3 68.9 14,683 2,602 44,419 45,906 1153 2910.24 106 2,248 9,418 1,216 1,179 65 141.9 5549.58 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 2,652 3,208 6,419 41,151 26924 870.75 106 1,676 0 1,290 1,135 94 688.86 4918.77 3 43.5
69 Amsterdam Netherlands 8.17 8.4 4.7 0.0 10.0 9.4 7.2 9.4 69.8 5,079 3,710 21,929 49,599 21450 2734.8 106 2,238 0 2,278 1,291 59 81.27 5918.52 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 2,652 3,950 15,525 50,052 26765 870.75 106 1,676 0 1,983 1,242 81 643.71 5948.19 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 2,652 3,403 13,478 43,488 23264 870.75 106 1,676 0 1,509 1,134 80 679.83 5163.87 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 8,666 1,776 23,490 29,982 5033 1754.4 106 2,248 4,558 854 799 52 72.24 3552.66 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 2,652 4,138 16,104 52,312 28068 870.75 106 1,676 0 2,117 1,147 81 793.35 6170.07 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 2,652 3,545 13,888 45,191 24266 870.75 106 1,676 0 1,491 1,066 89 899.13 5321.25 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 2,652 3,553 13,919 45,284 24314 870.75 106 1,676 0 1,542 1,035 77 899.13 5332.86 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 2,652 4,609 17,710 57,962 31203 870.75 106 1,676 0 2,535 1,383 85 606.3 6785.4 6 43.5
77 Paris France 7.56 8.6 0.5 1.0 10.0 6.9 7.8 9.4 71.7 2,712 3,188 38,806 40,963 1672 365.07 106 2,239 1 1,722 1,330 43 92.88 4723.98 12 67.9
78 Valencia Spain 6.72 8.6 2.0 3.0 10.0 3.6 8.1 6.8 71.7 8,666 1,827 23,490 30,586 5501 1754.4 106 2,248 4,558 837 854 63 72.24 3552.66 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 2,652 5,125 22,641 64,154 32181 870.75 106 1,676 0 3,102 1,357 84 581.79 7435.56 7 43.5
80 Basel Switzerland 7.86 8.6 0.0 3.0 7.2 9.0 8.9 7.6 72 30,044 4,502 86,185 84,069 0 1082.31 106 1,953 26,903 1,647 2,043 76 735.3 9731.76 12 73.8
81 Seville Spain 6.70 8.7 2.1 3.0 10.0 3.6 8.1 6.8 72.4 8,666 1,851 23,490 30,880 5729 1754.4 106 2,248 4,558 859 864 55 72.24 3552.66 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 2,810 1,067 5,786 15,612 7617 374.1 106 2,330 0 372 649 21 25.8 1780.2 5 65.0
83 Albany United States 7.14 8.9 6.3 10 7.3 4.6 9.3 8.8 74 2,652 3,313 12,464 42,405 23210 870.75 106 1,676 0 1,193 1,224 79 816.57 4775.58 6 43.5
84 Florence Italy 5.35 8.9 1.2 0.0 10.0 0.0 1.2 8.6 74 3,990 2,403 28,537 32,829 3327 1559.61 106 2,323 1 1,116 1,173 41 73.53 3698.43 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 2,652 4,270 15,828 53,891 29506 870.75 106 1,676 0 2,401 1,166 86 616.62 6064.29 6 43.5
86 Columbus United States 7.10 9 6.5 10.0 7.3 4.6 9.3 8.8 75.2 2,652 3,284 12,171 42,064 23173 870.75 106 1,676 0 1,504 1,084 75 621.78 4663.35 6 43.5
87 Tokyo Japan 5.95 9.1 5.9 2.0 5.4 3.2 7.1 7.0 75.6 1,926 2,936 13,155 37,158 18607 165.12 106 1,655 0 1,362 1,434 55 83.85 4098.33 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 2,652 4,009 14,545 50,764 28077 870.75 106 1,676 0 2,096 1,147 77 688.86 5572.8 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 2,189 2,421 8,604 31,245 17551 150.93 106 1,932 0 979 1,336 31 74.82 3414.63 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 2,652 3,568 6,464 45,470 30237 870.75 106 1,676 0 1,680 1,121 79 688.86 4953.6 3 43.5
91 Stockholm Sweden 8.06 9.2 4.0 2.0 9.3 9.8 7.8 8.5 77 9,943 3,017 26,521 46,151 15217 279.93 106 2,206 7,352 1,692 1,205 41 78.69 5003.91 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 2,652 4,049 9,613 51,244 32272 870.75 106 1,676 0 1,944 1,196 81 828.18 5525.07 4 43.5
93 Leipzig Germany 7.42 9.3 2.3 5.0 7.2 8.6 3.7 7.5 77.7 22,367 2,015 35,355 46,547 8676 1034.58 106 2,239 18,988 735 1,107 45 127.71 4993.59 12 59.0
94 Orlando United States 7.01 9.4 8.1 10.0 7.3 4.6 9.3 8.8 78 2,652 3,504 6,231 44,696 29818 870.75 106 1,676 0 1,627 1,113 77 686.28 4774.29 3 43.5
95 Mannheim Germany 7.39 9.5 2.4 5.0 7.2 8.6 3.7 7.5 78.5 22,367 2,054 35,355 47,011 9036 1034.58 106 2,239 18,988 755 1,131 40 127.71 4993.59 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 2,652 4,361 15,195 54,990 30849 870.75 106 1,676 0 2,258 1,258 80 766.26 5821.77 6 43.5
97 Aachen Germany 7.37 9.5 2.5 5.0 7.2 8.6 3.7 7.5 79.3 22,367 2,098 35,355 47,538 9444 1034.58 106 2,239 18,988 813 1,112 45 127.71 4993.59 12 59.0
98 Zurich Switzerland 7.63 9.5 0.7 3.0 7.2 9.0 8.9 7.6 79.3 30,044 5,210 86,185 92,568 4948 1082.31 106 1,953 26,903 2,366 2,032 77 735.3 9731.76 12 73.8
99 Bremen Germany 7.36 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.5 22,367 2,108 35,355 47,662 9540 1034.58 106 2,239 18,988 797 1,136 46 127.71 4993.59 12 59.0
100 Karlsruhe Germany 7.35 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.7 22,205 2,114 35,065 47,571 9695 1025.55 106 2,239 18,833 827 1,121 39 127.71 4952.31 12 59.0
101 Geneva Switzerland 7.61 9.6 0.8 3.0 7.2 9.0 8.9 7.6 79.9 30,044 5,270 86,185 93,280 5500 1082.31 106 1,953 26,903 2,525 1,910 99 735.3 9731.76 12 73.8
102 Dresden Germany 7.34 9.6 2.6 5.0 7.2 8.6 3.7 7.5 80.1 22,367 2,135 35,355 47,987 9792 1034.58 106 2,239 18,988 823 1,144 40 127.71 4993.59 12 59.0
103 Rome Italy 5.15 9.6 2.0 0.0 10.0 0.0 1.2 8.6 80.3 3,990 2,638 28,537 35,647 5511 1559.61 106 2,323 1 1,441 1,082 41 73.53 3698.43 12 64.3
104 Hanover Germany 7.32 9.7 2.7 5.0 7.2 8.6 3.7 7.5 80.7 22,367 2,167 35,355 48,374 10092 1034.58 106 2,239 18,988 938 1,059 43 127.71 4993.59 12 59.0
105 Nuremberg Germany 7.28 9.8 2.8 5.0 7.2 8.6 3.7 7.5 81.9 22,367 2,225 35,355 49,070 10632 1034.58 106 2,239 18,988 935 1,113 49 127.71 4993.59 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 2,652 4,721 15,720 59,309 33790 870.75 106 1,676 0 2,748 1,286 75 612.75 6023.01 6 43.5
107 Milan Italy 5.08 9.9 2.2 0.0 10.0 0.0 1.2 8.6 82.4 3,990 2,714 28,537 36,560 6219 1559.61 106 2,323 1 1,456 1,143 41 73.53 3698.43 12 64.3
108 Düsseldorf Germany 7.22 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84 22,367 2,332 35,355 50,355 11628 1034.58 106 2,239 18,988 1,031 1,133 41 127.71 4993.59 12 59.0
109 Bonn Germany 7.21 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84.3 22,367 2,347 35,355 50,525 11760 1034.58 106 2,239 18,988 987 1,192 40 127.71 4993.59 12 59.0
110 Cologne Germany 7.20 10.2 3.1 5.0 7.2 8.6 3.7 7.5 84.5 22,367 2,358 35,355 50,665 11868 1034.58 106 2,239 18,988 1,059 1,124 48 127.71 4993.59 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 2,219 4,149 4,093 52,002 37139 20.64 106 2,092 0 2,744 1,307 52 46.44 5015.52 6 13.6
112 Madrid Spain 6.22 10.5 4.0 3.0 10.0 3.6 8.1 6.8 87.7 8,666 2,394 23,490 37,397 10781 1754.4 106 2,248 4,558 1,276 982 65 72.24 3552.66 12 55.1
113 Berlin Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88 22,367 2,532 35,355 52,755 13488 1034.58 106 2,239 18,988 1,215 1,143 46 127.71 4993.59 12 59.0
114 Stuttgart Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88.1 22,367 2,534 35,355 52,770 13500 1034.58 106 2,239 18,988 1,269 1,095 41 127.71 4993.59 12 59.0
115 Barcelona Spain 6.14 10.8 4.3 3.0 10.0 3.6 8.1 6.8 90.2 8,666 2,482 23,490 38,450 11597 1754.4 106 2,248 4,558 1,338 1,006 66 72.24 3552.66 12 55.1
116 Frankfurt Germany 7.01 10.9 3.8 5.0 7.2 8.6 3.7 7.5 90.4 22,210,367 2,648 35,355 54,148 14568 1034.58 106 2,239 18,988 1,287 1,189 44 127.71 4993.59 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 2,652 4,334 6,574 54,665 37280 870.75 106 1,676 0 2,288 1,278 79 688.86 5037.45 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 2,652 6,589 19,555 81,724 48193 870.75 106 1,676 0 4,363 1,518 81 626.94 7492.32 6 43.5
119 Hamburg Germany 7.00 10.9 3.9 5.0 7.2 8.6 3.7 7.5 91 22,367 2,682 35,355 54,550 14880 1034.58 106 2,239 18,988 1,277 1,229 48 127.71 4993.59 12 59.0
120 Porto Portugal 4.97 11.4 2.4 0.0 10.0 0.4 4.9 8.6 94.9 2,754 1,816 19,412 24,550 3983 334.11 106 2,314 0 904 791 44 77.4 2156.88 12 75.0
121 Munich Germany 6.77 11.8 4.7 5.0 7.2 8.6 3.7 7.5 98.1 22,367 3,035 35,355 58,792 18168 1034.58 106 2,239 18,988 1,656 1,205 46 127.71 4993.59 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 2,810 1,526 5,786 21,122 11889 374.1 106 2,330 0 737 738 26 25.8 1780.2 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 2,652 6,645 17,639 82,390 50194 870.75 106 1,676 0 4,127 1,620 79 819.15 6758.31 6 43.5
124 Katowice Poland 4.93 12.6 10.8 6.0 10.0 2.6 2.2 0.0 104.9 4,541 1,193 2,696 18,860 12530 410.22 106 2,255 1,770 473 655 18 46.44 1497.69 6 30.5
125 Lisbon Portugal 4.48 13.2 4.3 0.0 10.0 0.4 4.9 8.6 110.3 2,754 2,149 19,412 28,544 7079 334.11 106 2,314 0 1,198 827 46 77.4 2156.88 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 2,810 1,852 5,786 25,039 14925 374.1 106 2,330 0 988 810 28 25.8 1780.2 5 65.0
127 Kraków Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 4,541 1,480 2,696 22,296 15194 410.22 106 2,255 1,770 719 697 18 46.44 1497.69 6 30.0
128 Wroclaw Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 4,541 1,481 2,696 22,312 15206 410.22 106 2,255 1,770 719 697 19 46.44 1497.69 6 30.0
129 Warsaw Poland 4.03 16 14.3 6 10.0 2.6 2.2 0.0 133.4 4,541 1,620 2,696 23,984 16502 410.22 106 2,255 1,770 824 730 19 46.44 1497.69 6 30.0
130 Budapest Hungary 2.51 23.4 22.1 6.0 10.0 1.3 9.2 8.5 195.3 14,168 1,442 1,829 31,475 22981 4718.82 106 2,300 7,043 637 749 21 34.83 1342.89 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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