Best Cities to Start an Online Business - Australia - 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 Australia

How much savings you need to start a web-based venture in Australia (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 Australian 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
AUD $
Average monthly living costs
AUD $
12 Month unemployment benefits
AUD $
Cost of venture & living expenses
AUD $
Required savings if receiving unemployment benefits
AUD $
Registration
AUD $
Online business setup fee
AUD $
Computer
AUD $
Capital
AUD $
Rent
AUD $
Cost of Living
AUD $
Internet Cost
AUD $
Healthcare
AUD $
Average Wage, Per Month
AUD $
Unemployment Benefits Granted, Months
Unemployment Benefits as % of Average Wage (%)
%
1 Adelaide Australia 7.42 5.5 2.8 9.0 0.0 6.9 0.0 9.7 45.5 2,426 2,839 18,299 36,490 13278 468.54 112 1,845 0 1,384 1,160 78 216.46 6688.34 12 22.8
2 Perth Australia 7.37 5.7 3.0 9.0 0.0 6.9 0.0 9.7 47.2 2,426 2,958 18,299 37,920 14322 468.54 112 1,845 0 1,460 1,206 75 216.46 6688.34 12 22.8
3 Brisbane Australia 7.27 6.1 3.4 9.0 0.0 6.9 0.0 9.7 50.4 2,426 3,170 18,299 40,468 16182 468.54 112 1,845 0 1,739 1,140 75 216.46 6688.34 12 22.8
4 Melbourne Australia 7.22 6.2 3.5 9.0 0.0 6.9 0.0 9.7 51.7 2,426 3,252 18,299 41,455 16902 468.54 112 1,845 0 1,777 1,189 70 216.46 6688.34 12 22.8
5 Sydney Australia 6.77 7.9 5.2 9.0 0.0 6.9 0.0 9.7 66.5 2,426 4,210 18,299 52,946 25290 468.54 112 1,845 0 2,628 1,297 69 216.46 6688.34 12 22.8

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
AUD $
Average monthly living costs
AUD $
12 Month unemployment benefits
AUD $
Cost of venture & living expenses
AUD $
Required savings if receiving unemployment benefits
AUD $
Registration
AUD $
Online business setup fee
AUD $
Computer
AUD $
Capital
AUD $
Rent
AUD $
Cost of Living
AUD $
Internet Cost
AUD $
Healthcare
AUD $
Average Wage, Per Month
AUD $
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 2,124 2,000 27,888 26,126 0 212.35 112 1,799 0 726 1,093 62 119.19 5743.04 8 60.7
2 Winnipeg Canada 7.57 5.1 0.0 8.0 6.0 3.5 6.5 10.0 42.1 2,124 2,239 31,374 28,986 0 212.35 112 1,799 0 989 1,055 75 119.19 5743.04 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 2,356 2,129 4,347 27,904 17195 21.92 112 2,222 0 1,041 995 44 49.32 5326.56 6 13.6
4 Montreal Canada 7.51 5.3 0.0 8.0 6.0 3.5 6.5 10.0 43.9 2,124 2,347 31,374 30,285 0 212.35 112 1,799 0 1,103 1,056 69 119.19 5743.04 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 2,356 2,193 4,347 28,677 17759 21.92 112 2,222 0 1,032 1,069 44 49.32 5326.56 6 13.6
6 Leicester United Kingdom 8.97 5.4 4.6 6.0 7.9 10.0 2.9 9.2 45 2,356 2,199 4,347 28,743 17807 21.92 112 2,222 0 1,007 1,099 44 49.32 5326.56 6 13.6
7 Adelaide Australia 7.42 5.5 2.8 9.0 0.0 6.9 0.0 9.7 45.5 2,426 2,839 18,299 36,490 13278 468.54 112 1,845 0 1,384 1,160 78 216.46 6688.34 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 2,356 2,245 4,347 29,302 18215 21.92 112 2,222 0 1,099 1,045 52 49.32 5326.56 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 2,356 2,261 4,347 29,482 18347 21.92 112 2,222 0 1,152 1,014 45 49.32 5326.56 6 13.6
10 Marseille France 8.36 5.60 0.0 1.0 10.0 6.90 7.80 9.40 46.5 2,880 2,114 41,212 28,247 0 387.71 112 2,378 1 915 1,052 48 98.64 5058.04 12 67.9
11 Perth Australia 7.37 5.7 3.0 9.0 0.0 6.9 0.0 9.7 47.2 2,426 2,958 18,299 37,920 14322 468.54 112 1,845 0 1,460 1,206 75 216.46 6688.34 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 2,356 2,355 4,347 30,617 19157 21.92 112 2,222 0 1,160 1,086 59 49.32 5326.56 6 13.6
13 Cardiff United Kingdom 8.88 5.8 5.0 6.0 7.9 10.0 2.9 9.2 48 2,356 2,362 4,347 30,699 19235 21.92 112 2,222 0 1,245 1,017 51 49.32 5326.56 6 13.6
14 Lille France 8.30 5.8 0.0 1.0 10.0 6.9 7.8 9.4 48.6 2,880 2,217 41,212 29,480 0 387.71 112 2,378 1 985 1,092 41 98.64 5058.04 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 2,124 2,621 27,888 33,573 4150 212.35 112 1,799 0 1,326 1,101 74 119.19 5743.04 8 60.7
16 Calgary Canada 7.35 5.9 0.0 8.0 6.0 3.5 6.5 10.0 49 2,124 2,640 34,860 33,803 0 212.35 112 1,799 0 1,266 1,175 79 119.19 5743.04 10 60.7
17 Toulouse France 8.27 5.9 0.0 1.0 10.0 6.9 7.8 9.4 49.5 2,880 2,263 41,212 30,039 0 387.71 112 2,378 1 917 1,207 41 98.64 5058.04 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 2,356 2,454 4,347 31,800 20039 21.92 112 2,222 0 1,321 1,029 55 49.32 5326.56 6 13.6
19 Bordeaux France 8.24 6.0 0.0 1.0 10.0 6.9 7.8 9.4 50.3 2,880 2,306 41,212 30,548 0 387.71 112 2,378 1 927 1,233 47 98.64 5058.04 12 67.9
20 Brisbane Australia 7.27 6.1 3.4 9.0 0.0 6.9 0.0 9.7 50.4 2,426 3,170 18,299 40,468 16182 468.54 112 1,845 0 1,739 1,140 75 216.46 6688.34 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 5,394 2,726 23,289 38,109 10818 2904.4 112 2,377 0 1,319 1,262 59 86.31 6285.56 5 74.1
22 Eindhoven Netherlands 8.76 6.2 2.5 0.0 10.0 9.4 7.2 9.4 51.3 5,394 2,773 23,289 38,668 11226 2904.4 112 2,377 0 1,455 1,178 53 86.31 6285.56 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 2,356 2,543 4,347 32,869 20819 21.92 112 2,222 0 1,295 1,151 48 49.32 5326.56 6 13.6
24 Melbourne Australia 7.22 6.2 3.5 9.0 0.0 6.9 0.0 9.7 51.7 2,426 3,252 18,299 41,455 16902 468.54 112 1,845 0 1,777 1,189 70 216.46 6688.34 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 2,356 2,600 4,347 33,560 21323 21.92 112 2,222 0 1,359 1,137 55 49.32 5326.56 6 13.6
26 Rotterdam Netherlands 8.65 6.6 2.9 0.0 10.0 9.4 7.2 9.4 54.6 5,394 2,984 23,289 41,200 13074 2904.4 112 2,377 0 1,617 1,214 67 86.31 6285.56 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 2,356 2,724 4,347 35,039 22403 21.92 112 2,222 0 1,469 1,152 53 49.32 5326.56 6 13.6
28 Lyon France 8.10 6.6 0.0 1.0 10.0 6.9 7.8 9.4 54.8 2,880 2,533 41,212 33,277 0 387.71 112 2,378 1 1,092 1,295 48 98.64 5058.04 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 2,356 2,766 4,347 35,549 22775 21.92 112 2,222 0 1,506 1,137 74 49.32 5326.56 6 13.6
30 Nice France 8.04 6.8 0.0 1.0 10.0 6.9 7.8 9.4 56.6 2,880 2,625 41,212 34,379 0 387.71 112 2,378 1 1,219 1,267 40 98.64 5058.04 12 67.9
31 Utrecht Netherlands 8.59 6.8 3.2 0.0 10.0 9.4 7.2 9.4 56.7 5,394 3,117 23,289 42,795 14238 2904.4 112 2,377 0 1,686 1,291 53 86.31 6285.56 5 74.1
32 Osaka Japan 6.50 7.0 3.8 2.0 5.4 3.2 7.1 7.0 58.4 2,045 2,370 13,971 30,487 12055 175.36 112 1,758 0 943 1,282 56 89.05 4352.49 6 53.5
33 Naples Italy 5.82 7.1 0.0 0.0 10.0 0.0 1.2 8.6 59 4,237 1,965 30,307 27,812 0 1656.33 112 2,467 1 804 1,038 44 78.09 3927.79 12 64.3
34 Malmö Sweden 8.61 7.2 1.9 2.0 9.3 9.8 7.8 8.5 59.5 10,560 2,284 28,166 37,965 7153 297.29 112 2,343 7,808 1,070 1,084 47 83.57 5314.23 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 2,817 3,311 12,938 42,552 21616 924.75 112 1,780 0 1,475 1,147 81 608.28 5948.54 5 43.5
36 Oslo Norway 8.3 7.2 0.0 2.0 9.0 9.0 6.8 9.3 60.1 8,550 3,869 59,651 54,977 0 937.08 112 2,456 5,044 1,987 1,710 73 100.01 7624.05 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 2,817 3,177 14,578 40,941 19243 924.75 112 1,780 0 1,245 1,208 70 653.49 5585.49 6 43.5
38 Copenhagen Denmark 8.71 7.3 0.4 5.0 10.0 9.6 6.5 9.4 61.1 13,519 3,650 54,399 57,315 2129 145.22 112 2,445 10,816 2,074 1,437 52 86.31 7815.85 12 58.0
39 Graz Austria 7.10 7.4 3.6 2.0 10.0 5.9 0.8 4.5 61.4 13,836 2,384 22,179 42,441 14790 3278.41 112 2,378 8,067 891 1,340 44 109.6 5760.85 7 55.0
40 Vancouver Canada 6.95 7.4 2.6 8.0 6.0 3.5 6.5 10.0 61.5 2,124 3,357 27,888 42,402 10594 212.35 112 1,799 0 2,000 1,158 79 119.19 5743.04 8 60.7
41 Cincinnati United States 7.52 7.5 4.9 10.0 7.3 4.6 9.3 8.8 62 2,817 3,226 14,567 41,533 19683 924.75 112 1,780 0 1,349 1,137 77 663.08 5581.38 6 43.5
42 Toronto Canada 6.93 7.5 2.7 8.0 6.0 3.5 6.5 10.0 62.3 2,124 3,400 27,888 42,928 10978 212.35 112 1,799 0 1,937 1,275 69 119.19 5743.04 8 60.7
43 Turin Italy 5.71 7.5 0.0 0.0 10.0 0.0 1.2 8.6 62.5 4,237 2,100 30,307 29,440 0 1656.33 112 2,467 1 860 1,118 44 78.09 3927.79 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 2,817 3,106 13,767 40,086 19211 924.75 112 1,780 0 1,270 1,045 81 709.66 5274.5 6 43.5
45 Linz Austria 7.03 7.6 3.8 2.0 10.0 5.9 0.8 4.5 63.6 13,836 2,510 22,179 43,954 15894 3278.41 112 2,378 8,067 1,015 1,348 37 109.6 5760.85 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 2,817 3,115 13,748 40,201 19309 924.75 112 1,780 0 934 1,152 93 935.71 5267.65 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 2,817 3,503 15,271 44,854 21593 924.75 112 1,780 0 1,536 1,152 82 732.95 5851.27 6 43.5
48 Helsinki Finland 7.47 7.7 0.0 4.0 7.4 7.8 1.9 6.5 64.3 7,136 2,995 43,447 43,074 0 532.93 112 2,458 4,033 1,484 1,347 38 126.04 5578.64 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 2,817 3,085 13,437 39,840 19272 924.75 112 1,780 0 1,115 1,095 78 797.34 5148.46 6 43.5
50 Antwerp Belgium 7.20 7.8 0.0 0.0 10.0 5.5 4.0 9.3 64.5 15,593 2,503 47,173 45,629 0 3090.72 112 2,388 10,002 1,099 1,188 66 150.7 5893.74 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 2,817 3,733 16,037 47,616 23050 924.75 112 1,780 0 1,815 1,101 79 737.06 6144.45 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 2,817 3,609 15,551 46,120 22313 924.75 112 1,780 0 1,581 1,077 75 875.43 5958.13 6 43.5
53 Genova Italy 5.64 7.8 0.1 0.0 10.0 0.0 1.2 8.6 64.8 4,237 2,192 30,307 30,541 171 1656.33 112 2,467 1 826 1,245 42 78.09 3927.79 12 64.3
54 Gothenburg Sweden 8.44 7.8 2.5 2.0 9.3 9.8 7.8 8.5 65 10,560 2,573 28,166 41,434 9685 297.29 112 2,343 7,808 1,292 1,154 44 83.57 5314.23 10 53.0
55 Ghent Belgium 7.17 7.9 0.0 0.0 10.0 5.5 4.0 9.3 65.4 15,593 2,556 47,173 46,270 0 3090.72 112 2,388 10,002 1,137 1,201 67 150.7 5893.74 12 66.7
56 Sydney Australia 6.77 7.9 5.2 9.0 0.0 6.9 0.0 9.7 66.5 2,426 4,210 18,299 52,946 25290 468.54 112 1,845 0 2,628 1,297 69 216.46 6688.34 12 22.8
57 Dublin Ireland 6.58 7.9 5.0 5.0 5.7 4.2 3.0 9.0 66 2,844 3,944 19,039 50,175 22727 274 112 2,458 0 2,417 1,322 81 124.67 6333.51 9 33.4
58 Vienna Austria 6.94 8.0 4.2 2.0 10.0 5.9 0.8 4.5 66.3 13,836 2,667 22,179 45,844 17274 3278.41 112 2,378 8,067 1,303 1,208 47 109.6 5760.85 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 2,817 3,437 14,356 44,065 21685 924.75 112 1,780 0 1,284 1,199 88 867.21 5500.55 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 2,817 3,163 13,244 40,777 20097 924.75 112 1,780 0 1,230 1,121 88 724.73 5074.48 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 2,817 3,604 14 46,070 22736 924.75 112 1,780 0 1,462 1,185 78 879.54 5717.01 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 2,817 3,254 13,488 41,862 20711 924.75 112 1,780 0 1,041 1,107 99 1006.95 5167.64 6 43.5
63 Bologna Italy 5.55 8.1 0.5 0.0 10.0 0.0 1.2 8.6 67.7 4,237 2,304 30,307 31,889 1155 1656.33 112 2,467 1 1,012 1,171 42 78.09 3927.79 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 2,817 4,054 16,391 51,463 25600 924.75 112 1,780 0 1,960 1,352 90 650.75 6280.08 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 2,817 3,369 13,727 43,243 21544 924.75 112 1,780 0 1,169 1,096 95 1009.69 5259.43 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 2,817 3,784 15,271 48,224 24053 924.75 112 1,780 0 1,806 1,162 84 732.95 5851.27 6 43.5
67 Brussels Belgium 7.06 8.3 0.3 0.0 10.0 5.5 4.0 9.3 68.9 15,593 2,763 47,173 48,753 1153 3090.72 112 2,388 10,002 1,292 1,252 69 150.7 5893.74 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 2,817 3,407 6,817 43,703 26924 924.75 112 1,780 0 1,370 1,206 100 731.58 5223.81 3 43.5
69 Amsterdam Netherlands 8.17 8.4 4.7 0.0 10.0 9.4 7.2 9.4 69.8 5,394 3,940 23,289 52,675 21450 2904.4 112 2,377 0 2,419 1,371 63 86.31 6285.56 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 2,817 4,195 16,488 53,156 26765 924.75 112 1,780 0 2,106 1,319 86 683.63 6317.07 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 2,817 3,614 14,314 46,185 23264 924.75 112 1,780 0 1,603 1,204 85 721.99 5484.11 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 9,204 1,886 24,946 31,842 5033 1863.2 112 2,388 4,840 907 848 55 76.72 3772.98 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 2,817 4,395 17,103 55,556 28068 924.75 112 1,780 0 2,248 1,218 86 842.55 6552.71 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 2,817 3,765 14,749 47,994 24266 924.75 112 1,780 0 1,584 1,132 95 954.89 5651.25 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 2,817 3,773 14,782 48,092 24314 924.75 112 1,780 0 1,637 1,099 82 954.89 5663.58 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 2,817 4,895 18,809 61,557 31203 924.75 112 1,780 0 2,692 1,469 90 643.9 7206.2 6 43.5
77 Paris France 7.56 8.6 0.5 1.0 10.0 6.9 7.8 9.4 71.7 2,880 3,385 41,212 43,503 1672 387.71 112 2,378 1 1,829 1,412 45 98.64 5016.94 12 67.9
78 Valencia Spain 6.72 8.6 2.0 3.0 10.0 3.6 8.1 6.8 71.7 9,204 1,940 24,946 32,483 5501 1863.2 112 2,388 4,840 889 907 67 76.72 3772.98 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 2,817 5,443 24,045 68,133 32181 924.75 112 1,780 0 3,295 1,441 89 617.87 7896.68 7 43.5
80 Basel Switzerland 7.86 8.6 0.0 3.0 7.2 9.0 8.9 7.6 72 31,907 4,781 91,530 89,283 0 1149.43 112 2,074 28,571 1,749 2,170 81 780.9 10335.28 12 73.8
81 Seville Spain 6.70 8.7 2.1 3.0 10.0 3.6 8.1 6.8 72.4 9,204 1,966 24,946 32,795 5729 1863.2 112 2,388 4,840 912 918 59 76.72 3772.98 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 2,984 1,133 6,144 16,580 7617 397.3 112 2,474 0 395 689 22 27.4 1890.6 5 65.0
83 Albany United States 7.14 8.9 6.3 10 7.3 4.6 9.3 8.8 74 2,817 3,518 13,237 45,035 23210 924.75 112 1,780 0 1,267 1,300 84 867.21 5071.74 6 43.5
84 Florence Italy 5.35 8.9 1.2 0.0 10.0 0.0 1.2 8.6 74 4,237 2,552 30,307 34,865 3327 1656.33 112 2,467 1 1,185 1,245 44 78.09 3927.79 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 2,817 4,535 16,810 57,233 29506 924.75 112 1,780 0 2,550 1,238 92 654.86 6440.37 6 43.5
86 Columbus United States 7.10 9 6.5 10.0 7.3 4.6 9.3 8.8 75.2 2,817 3,488 12,926 44,673 23173 924.75 112 1,780 0 1,597 1,151 79 660.34 4952.55 6 43.5
87 Tokyo Japan 5.95 9.1 5.9 2.0 5.4 3.2 7.1 7.0 75.6 2,045 3,118 13,971 39,463 18607 175.36 112 1,758 0 1,447 1,523 59 89.05 4352.49 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 2,817 4,258 15,447 53,912 28077 924.75 112 1,780 0 2,226 1,218 82 731.58 5918.4 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 2,325 2,571 9,138 33,183 17551 160.29 112 2,052 0 1,040 1,419 33 79.46 3626.39 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 2,817 3,789 6,865 48,290 30237 924.75 112 1,780 0 1,784 1,191 84 731.58 5260.8 3 43.5
91 Stockholm Sweden 8.06 9.2 4.0 2.0 9.3 9.8 7.8 8.5 77 10,560 3,204 28,166 49,013 15217 297.29 112 2,343 7,808 1,797 1,280 44 83.57 5314.23 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 2,817 4,300 10,209 54,422 32272 924.75 112 1,780 0 2,065 1,270 86 879.54 5867.71 4 43.5
93 Leipzig Germany 7.42 9.3 2.3 5.0 7.2 8.6 3.7 7.5 77.7 23,754 2,140 37,548 49,434 8676 1098.74 112 2,378 20,165 781 1,175 48 135.63 5303.27 12 59.0
94 Orlando United States 7.01 9.4 8.1 10.0 7.3 4.6 9.3 8.8 78 2,817 3,721 6,617 47,468 29818 924.75 112 1,780 0 1,728 1,182 82 728.84 5070.37 3 43.5
95 Mannheim Germany 7.39 9.5 2.4 5.0 7.2 8.6 3.7 7.5 78.5 23,754 2,181 37,548 49,927 9036 1098.74 112 2,378 20,165 801 1,201 42 135.63 5303.27 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 2,817 4,632 16,137 58,400 30849 924.75 112 1,780 0 2,398 1,336 85 813.78 6182.81 6 43.5
97 Aachen Germany 7.37 9.5 2.5 5.0 7.2 8.6 3.7 7.5 79.3 23,754 2,228 37,548 50,486 9444 1098.74 112 2,378 20,165 863 1,181 48 135.63 5303.27 12 59.0
98 Zurich Switzerland 7.63 9.5 0.7 3.0 7.2 9.0 8.9 7.6 79.3 31,907 5,533 91,530 98,308 4948 1149.43 112 2,074 28,571 2,513 2,158 82 780.9 10335.28 12 73.8
99 Bremen Germany 7.36 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.5 23,754 2,239 37,548 50,617 9540 1098.74 112 2,378 20,165 847 1,207 49 135.63 5303.27 12 59.0
100 Karlsruhe Germany 7.35 9.6 2.5 5.0 7.2 8.6 3.7 7.5 79.7 23,582 2,245 37,239 50,521 9695 1089.15 112 2,378 20,001 878 1,191 41 135.63 5259.43 12 59.0
101 Geneva Switzerland 7.61 9.6 0.8 3.0 7.2 9.0 8.9 7.6 79.9 31,907 5,596 91,530 99,065 5500 1149.43 112 2,074 28,571 2,681 2,029 105 780.9 10335.28 12 73.8
102 Dresden Germany 7.34 9.6 2.6 5.0 7.2 8.6 3.7 7.5 80.1 23,754 2,267 37,548 50,963 9792 1098.74 112 2,378 20,165 874 1,215 42 135.63 5303.27 12 59.0
103 Rome Italy 5.15 9.6 2.0 0.0 10.0 0.0 1.2 8.6 80.3 4,237 2,802 30,307 37,857 5511 1656.33 112 2,467 1 1,530 1,149 44 78.09 3927.79 12 64.3
104 Hanover Germany 7.32 9.7 2.7 5.0 7.2 8.6 3.7 7.5 80.7 23,754 2,302 37,548 51,374 10092 1098.74 112 2,378 20,165 996 1,125 45 135.63 5303.27 12 59.0
105 Nuremberg Germany 7.28 9.8 2.8 5.0 7.2 8.6 3.7 7.5 81.9 23,754 2,363 37,548 52,113 10632 1098.74 112 2,378 20,165 993 1,182 52 135.63 5303.27 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 2,817 5,014 16,695 62,987 33790 924.75 112 1,780 0 2,918 1,366 79 650.75 6396.53 6 43.5
107 Milan Italy 5.08 9.9 2.2 0.0 10.0 0.0 1.2 8.6 82.4 4,237 2,882 30,307 38,827 6219 1656.33 112 2,467 1 1,547 1,214 44 78.09 3927.79 12 64.3
108 Düsseldorf Germany 7.22 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84 23,754 2,477 37,548 53,478 11628 1098.74 112 2,378 20,165 1,095 1,203 44 135.63 5303.27 12 59.0
109 Bonn Germany 7.21 10.1 3.1 5.0 7.2 8.6 3.7 7.5 84.3 23,754 2,492 37,548 53,659 11760 1098.74 112 2,378 20,165 1,048 1,266 42 135.63 5303.27 12 59.0
110 Cologne Germany 7.20 10.2 3.1 5.0 7.2 8.6 3.7 7.5 84.5 23,754 2,504 37,548 53,807 11868 1098.74 112 2,378 20,165 1,125 1,193 51 135.63 5303.27 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 2,356 4,406 4,347 55,227 37139 21.92 112 2,222 0 2,914 1,388 55 49.32 5326.56 6 13.6
112 Madrid Spain 6.22 10.5 4.0 3.0 10.0 3.6 8.1 6.8 87.7 9,204 2,543 24,946 39,716 10781 1863.2 112 2,388 4,840 1,355 1,043 69 76.72 3772.98 12 55.1
113 Berlin Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88 23,754 2,689 37,548 56,026 13488 1098.74 112 2,378 20,165 1,291 1,214 49 135.63 5303.27 12 59.0
114 Stuttgart Germany 7.09 10.6 3.5 5.0 7.2 8.6 3.7 7.5 88.1 23,754 2,691 37,548 56,043 13500 1098.74 112 2,378 20,165 1,348 1,163 44 135.63 5303.27 12 59.0
115 Barcelona Spain 6.14 10.8 4.3 3.0 10.0 3.6 8.1 6.8 90.2 9,204 2,636 24,946 40,834 11597 1863.2 112 2,388 4,840 1,421 1,069 70 76.72 3772.98 12 55.1
116 Frankfurt Germany 7.01 10.9 3.8 5.0 7.2 8.6 3.7 7.5 90.4 23,587,754 2,813 37,548 57,506 14568 1098.74 112 2,378 20,165 1,367 1,263 47 135.63 5303.27 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 2,817 4,603 6,982 58,055 37280 924.75 112 1,780 0 2,430 1,358 84 731.58 5349.85 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 2,817 6,998 20,768 86,792 48193 924.75 112 1,780 0 4,633 1,612 86 665.82 7956.96 6 43.5
119 Hamburg Germany 7.00 10.9 3.9 5.0 7.2 8.6 3.7 7.5 91 23,754 2,848 37,548 57,933 14880 1098.74 112 2,378 20,165 1,356 1,306 51 135.63 5303.27 12 59.0
120 Porto Portugal 4.97 11.4 2.4 0.0 10.0 0.4 4.9 8.6 94.9 2,925 1,929 20,616 26,072 3983 354.83 112 2,458 0 960 840 47 82.2 2290.64 12 75.0
121 Munich Germany 6.77 11.8 4.7 5.0 7.2 8.6 3.7 7.5 98.1 23,754 3,224 37,548 62,438 18168 1098.74 112 2,378 20,165 1,759 1,280 49 135.63 5303.27 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 2,984 1,621 6,144 22,432 11889 397.3 112 2,474 0 782 784 27 27.4 1890.6 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 2,817 7,057 18,733 87,499 50194 924.75 112 1,780 0 4,383 1,721 84 869.95 7177.43 6 43.5
124 Katowice Poland 4.93 12.6 10.8 6.0 10.0 2.6 2.2 0.0 104.9 4,822 1,267 2,863 20,029 12530 435.66 112 2,395 1,880 503 696 19 49.32 1590.57 6 30.5
125 Lisbon Portugal 4.48 13.2 4.3 0.0 10.0 0.4 4.9 8.6 110.3 2,925 2,282 20,616 30,314 7079 354.83 112 2,458 0 1,273 878 49 82.2 2290.64 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 2,984 1,967 6,144 26,592 14925 397.3 112 2,474 0 1,049 860 30 27.4 1890.6 5 65.0
127 Kraków Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 4,822 1,571 2,863 23,679 15194 435.66 112 2,395 1,880 763 740 19 49.32 1590.57 6 30.0
128 Wroclaw Poland 4.32 14.9 13.1 6.0 10.0 2.6 2.2 0.0 124.1 4,822 1,573 2,863 23,696 15206 435.66 112 2,395 1,880 763 740 21 49.32 1590.57 6 30.0
129 Warsaw Poland 4.03 16 14.3 6 10.0 2.6 2.2 0.0 133.4 4,822 1,721 2,863 25,471 16502 435.66 112 2,395 1,880 875 775 21 49.32 1590.57 6 30.0
130 Budapest Hungary 2.51 23.4 22.1 6.0 10.0 1.3 9.2 8.5 195.3 15,047 1,532 1,943 33,427 22981 5011.46 112 2,443 7,480 677 796 22 36.99 1426.17 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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