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CASS (NAES) and UN–Habitat Jointly Release Global Urban Competitiveness Report 2017-2018

Publish Date:2017-10-30 13:24:58

CASS (NAES) andUN–Habitat Jointly Release Global UrbanCompetitiveness Report 2017-2018

The Global Development Pattern and Trendfrom the Perspective of Cities

The Annual Report Focuses on Global RealEstate Market and Competitiveness

The annualreport has measured the economic competitiveness index of 1,007 global citiesthrough the urban economic density index and the economic increment index fromthe perspective of display by adopting creative theories and methods. Theresults have refreshed people's cognition of the city rankings and verifiedthat technology innovation center cities and central cities of emergingeconomies are breaking the original global urban pattern and entering the rankof most competitive cities.

While comparing the competitiveness ofcities, this report further views global economic and social developmentpatterns and trends from the view of cities, with the following new findings:First, information technology is increasingly becoming the primary engine of urbandevelopment. Second, three longitudes have divided the differentiatedagglomeration of global urban population and economy. Third, soft ties betweencities are gradually dominating the global urban system. Fourth, new globalcities are taking shape.

The report is themed on "theHousing Price: Reshaping World Cities", including the four parts -overview of global real estate market, new discoveries and new theories,empirical analysis of global cities, global city stories. Empirical analysis isconducted from such five levels as the global region, different tiers ofcities, areas within major countries, urban agglomerations, typical cities,with the main findings as follows: The city's relative housing price and its competitivenessshow an inverted U-shaped changing trend, and too high or too low prices arenot conducive to the enhancement of urban competitiveness. The higher therelative housing price is, the stronger the competitiveness is. When thehousing price gap between big cities and small cities in a region is too large,the overall competitiveness of the region is low. When the housing price gapbetween big cities and small cities is narrow, the city's housing price isnegatively correlated to the competitiveness of other cities.

In order torealize urban sustainable development, in the process of urbanization, localgovernments should pay attention to: First, the urban planning should followthe five main principles for the urban design by the UN-HumanSettlements Programm(UNHabitat) (2014) - sufficient space, high density,compound use of land, social integration, and avoid functional simplification.Second, with respect to the financial framework and governance, a soundfinancial plan including reasonable budget, revenue generation and expendituremanagement should be developed. Third, as to the legal framework, laws andregulations help shape good urban forms and characteristics and play animportant role in the implementation of urban planning.

On October 30,2017, the World Cities Day - Global UrbanCompetitiveness Forum will be convened at Baiyun International ConferenceCenter in Guangzhou, and the National Academy of Economic Strategy (NAES) -Chinese Academy of Social Sciences (CASS) and the UN–Habitat will jointlyrelease the Global Urban CompetitivenessReport 2017-2018 – The Housing Price: changing World Cities (hereinafterreferred to as the "Report"). It took more than one year toaccomplish the report which was led by Professor Ni Pengfei, Director of Centerfor City and Competitiveness, CASS, chief city economist of CASS- UN-HABITAT jointproject group and Marco Kamiya, Coordinator of Urban Economy and Finance Branchof UN-Habitat, chief city economist of CASS- UN-HABITAT joint project group andpooled the efforts of many global urban competitiveness experts. The conferenceis organized by the UN–Habitat, undertaken by Guangzhou Academy of SocialSciences, and co-organized by Center for City and Competitiveness, CASS, GuangzhouUrban Strategy Academy, GASS and Guangzhou Radio Group.The report authorizes the first publishing of its English abstract to South China Morning Post and the firstpublishing of its Chinese abstract to the NationalBusiness Daily.

Wang Weiguang (Presidentof the CASS) sends a written address. Joan Clos (Under Secretary-General of theUN and Executive Director of UN-Habitat), He Dexu (Director of National Academyof Economic Strategy, CASS), Zhang Yueguo (Party Leading Group Secretary ofGASS), Bernadia Irawati Tjandradewi (Asia-Pacific Secretary-General of UnitedCities and Local Governments) attend the conference and gave speeches. JoanClos delivers a keynote speech, Professor Ni Pengfei and Marco Kamiya introducethe research results on behalf of the research team. Well-known experts andscholars attending the conference have indepth research and discussion on therelationship between housing prices and urban competitiveness around the themeof the report. Noted entrepreneurs and media elites hold roundtables on keyfactors affecting urban prosperity and development.


Through the long term research, following the principleof index minimization, the research team has built the index system of urbaneconomic competitiveness and sustainable competitiveness in the report. Theeconomic competitiveness refers to the city's capacity of creating value and obtainingeconomic rent. The research team has measured the economic competitivenessindex of 1,007 global cities through the urban economic density index and theeconomic increment index from the perspective of display by adopting creativetheories and methods. The sustainable competitiveness refers to the conditionsof urban elements and environment, and the sustainable competitiveness indexesof 1,035 global cities are measured with the following indicators from theexplanatory perspective: human capital potential, economic vitality, technologyinnovation, social inclusiveness, ecological environment, business environment,infrastructure, and global connection. The sample cities for statistics in thisreport are mainly in metropolitan areas.

The top ten globalcities of urban economic competitiveness index in 2016: New York, Los Angeles,Singapore, London, San Francisco, Shenzhen, Tokyo, San Jose, Munich, Dallas. The UnitedStates has obvious advantages, with its cities occupying half of the totalcities. 3 cities are from Asia and 2 cities are from Europe. Cities withbasically equal economic competitiveness aggregate, which highlights theimportance of urban agglomeration. The economic development of urbanagglomerations in European and North American countries are balanced, while indeveloping countries, it is concentrated in central cities. The echelon effectof urban economic competitiveness is obvious, and there exists differentiationof differences at different tiers. Promoting economic competitiveness andnarrowing differences have become the key for BRICS to catch up with developedcountries. The indexes of local demand, infrastructure and technologyinnovation are the driving factors which have great effects on the promotion ofglobal urban economic competitiveness. Technology innovation center cities andcentral cities of emerging economies are breaking the original global urbanpattern and entering the rank of most competitive cities.

The research finds that in terms of the global urbaneconomic competitiveness, America has obvious advantages, and China is risingrapidly. The overall advantages of American cities are obvious, and thedevelopment level is more balanced. Among the top 10 cities, there are 5 citiesfrom America. Among the top 20 cities, there are 9 cities from America. Amongthe top 100 cities, there are 36 cities from America. China's top cities showgood performance with rapid enhancement of the overall competitiveness level,and some strong tier-two cities have conspicuous achievements. Shenzhen hasentered the list of top 10 global cities, Hong Kong, Shanghai, Guangzhou andBeijing are on the list of top 20 global cities. A total of 21 cities areshortlisted for the top 100 global cities, which reflects that Chinese citieshave developed from "central aggregation" to the higher stage of"dispersion and spillover". At the current development level, China’soverall urban competitiveness in the global urban system is excellent, but weshould see that, the gap between China's cities is large. This report, from thedimension of global urban system, verifies the great judgement made by the 19thNational Congress that China has entered the new era, but China's urbancompetitiveness is facing the problem of uneven and insufficient development.

The top ten global cities of sustainable competitivenessin 2016 are: New York, London, Tokyo, Boston, Singapore, Zurich, Seoul,Houston, Paris, and Chicago. Among the topten cities, cities from Europe, North America and Asia constitute a situationof tripartite confrontation. In the top 100 global cities of sustainablecompetitiveness, European and North American cities have an absolutequantitative advantage. From the view of urban agglomerations, the proportionof central cities in America, Germany and the UK entering the list of top 100global cities in sustainable competitiveness is high. By contrast, although theurban agglomerations in China, India, Brazil and Indonesia and other developingcountries is large in size, the shortlisted central cities are few. Viewingfrom the indexes of aggregation degree and connection degree, for cities withlower degree of agglomeration and connection, the size of the high-incomepopulation has a greater impact on the urban sustainable competitiveness.

The research finds that G7countries have obvious leading advantages in global urban sustainablecompetitiveness, and the growth potential of BRICS is huge. Cities in developedcountries represented by America are the most dynamic, and the BRICS are increasinglybecoming an important part of global connection, but their innovationcapabilities and government governance levels need to be enhanced. The urbaninfrastructure in emerging market countries represented by BRICS is catchingup, especially in China, the urban infrastructure has been on a par with thatof developed countries. There are 9 cities in China entering the list of top100 global cities in sustainable competitiveness, namely, Beijing, Hong Kong,Shanghai, Shenzhen, Guangzhou, Taipei, Nanjing, Tianjin and Xiamen.

According to theresearch, Technology, finance, ecology, culture and housing prices areinfluencing and changing today's urban worldinformation technology is increasinglybecoming the primary engine of global urban development. First, informationtechnology turns direct connection between global cities to indirectconnection, the connection of several cities to a full-scale connection, looseconnection to close connection, slow connection to instantaneous connection,and high-cost connection to low-cost connection. Second, information technologyis changing the focus of the global urban network system, which is transferringfrom coastal areas to inland areas, from Europe and North America to Asia.Third, information technology is changing the spatial pattern of global cities.

The research finds that, three longitudes have dividedthe differentiated agglomeration of global urban population and economy. Urbanaggregation is the first feature of a city, and global urban aggregation is acomprehensive reflection of the spatial differences and changes of globaleconomy. As to the population agglomeration: First, the population growth inmetropolitan areas is faster and the agglomeration in coastal areas is becomingintensive. Second, the population size in global high-tier cities grows continuouslywhile that in low-tier cities appear differentiation. In regard to the economicagglomeration: the new agglomeration of global economy shows the double-crescentdistribution and the distribution along three longitudes. The cities with thehighest economic density and higher income levels are concentrated in NorthAmerica and Eurasia, showing one small and one big crescent agglomerationareas. The distribution along three longitudes refers to that, global citieswith high economic density are mainly distributed on both sides of 20° east longitude, 100° west longitude and 110° east longitude in the shape of cliffof displacement.

It is found thatthe soft ties between cities are gradually dominating the world urban system. Informationtechnology and mega cities dominate the soft connection ofglobal cities. As the soft link center, Europe dominates the internal andexternal connection of global cities. Africa has the lowest connectivity, farbehind the global level. There are significant differences in the number ofconnections at different city tiers. Tier-A cities dominate the internal andexternal connection of global cities while tier-B cities are more closely andwidely linked. Cities at the same level of economic development are moreclosely linked and information technology dominates the soft connection betweencities. Cities with the same function are more closely linked, and globalcities have formed the multi-center network. Soft ties are more extensive,unbalanced, and differentiated than hard ties.

The researchfinds that new global cities are taking shape. The currentglobal urban system is neither a hierarchical system determined by the verticaldivision of industry, nor a network system determined by the horizontaldivision of industry, but a chain system that is a combination of the hierarchicaland network systems. New global cities are taking shape, which is evidenced by:First, technology and finance are dominating the global economy, constitutingmain part of the global value chain. Second, from the influence of globalenterprises, information technology enterprises are becoming more and moreinfluential. Third, the status of technology center cities in the global urbansystem keeps rising. The higher the technological innovation index of a city,the higher its per capita GDP, and the stronger its sustainable competitivenessand economic competitiveness.

The thematicreport argues that, in terms of the conditions of global real estate market, the regionswith high housing prices are distributed in circum-oceanic "three centersand four zones", that is, high housing price cities show a clear circum-oceanicdistribution, concentrating in North America, Western Europe and East Asia, andextending along 120° west longitude, 80° west longitude, 20° east longitude and110° east longitude. The urban agglomerations near the boundaries of countrieshave developed into large transnational urban agglomerations, and the highhousing price area has restrained the cities far away, showing the Migration effect.Main urban agglomerations of the world still present the Siphon effect, and theurban agglomeration with stronger Siphon effect usually has higher housingprices in central cities. Economic geography is the basic impetus to thedevelopment of urban real estate: The main geographical driving force istransportation, which determines the upper and lower limits of the city realestate market; the economic and social driving force is highly related to thedifferentiation of the real estate market; the service driving force is thebasic guarantee of the real estate market. The Matthew effect of urban realestate continuously enlarges the differentiation degree of the real estatemarket between cities, and cities of the developing economies and the emergingeconomies cities see more significant Matthew effect. The effectiveness ofgovernmental real estate policies is based on long-term expectation and thedecentralization of policies.

The themed report deeply analyzes the effect mechanism ofhouse price on competitiveness. Housing is a necessity of human survival anddevelopment, with the dual attributes of consumer goods and investment goods.Housing and its price are always important factors affecting a city's economicgrowth and structural transformation. The theoretical model draws the followingconclusions: The city's relative housing price and its competitiveness show aninverted "U" changing trend, and too high or too low prices are notconducive to the enhancement of urban competitiveness. The higher the relativehousing price is, the stronger the competitiveness is. When the housing pricegap between big cities and small cities is too large, the overallcompetitiveness of cities in the region is low. When the housing price gapbetween big cities and small cities is narrow, the city's housing price isnegatively correlated to the competitiveness of other cities. The empiricalanalysis has verified the above inferences, analyzed the relationship betweenthe housing price to income ratio, house price, income and population from theoverall perspective, described the patterns and trends of global region,different tiers of cities, national regions and urban agglomerations, anddemonstrated the effect of housing prices on urban competitiveness andpopulation. And it is finally found that, the impact of housing prices on urbancompetitiveness wanes and waxes with the concentration force and dispersionforce, going through the stages of ascending to descending, namely, the invertedU-shaped trend.

The themed report suggests that, in order to achievesustainable urbanization, in the process of urbanization, local governmentsshould pay attention to the following aspects: First, the urban planning shouldfollow the five main principles for the urban design by the UN–Habitat (2014) -sufficient space, high density, compound use of land, social integration, andavoid functional simplification. Second, with respect to the financialframework and governance, a sound financial plan including reasonable budget,revenue generation and expenditure management should be developed. Third, as tothe legal framework, laws and regulations help shape good urban forms andcharacteristics and play an important role in the implementation of urbanplanning.

In the city story part of the themed report, centering onthe relationship between housing prices and urban competitiveness, from morethan 1,000 cities in the world, 11 typical cities of Silicon Valley,Pittsburgh, Singapore, Melbourne, Tokyo, Guangzhou, Taipei, Foshan, Madrid,Lima, Buenos Aires are screened out and their experiences and practices in developingthe real estate and enhancing the competitiveness have been summarized for thereference of global cities.

The report is jointly launched by the National Academy ofEconomic Strategy, CASS and the UN-Habitat, which is the second edition of theglobal urban reporting series. Through the indicator system and objective data,the report has evaluated in detail the competitiveness of 1,035 global cities. Besides,the report has measured the development pattern ofglobal urban competitiveness on the whole, as well as the gap from the idealstate in relevant aspects. The report is of crucial decision-making referentialsignificance and research referential value for global urban governmentdepartments, domestic and foreign enterprises, relevant research institutionsand the public.

For moreinformation, please visit the website of Center for City and Competitiveness, CASS. http://www.gucp.org/GUCP/Main/English



Appendix:Annualranking of general global urban competitiveness 2017-2018

(Top 200)

Metropolitan area

Metropolitan area evel

Country/Area

Economic Competitiveness Index

Rank

Sustainable Competitiveness Index

Rank

New York

A+

United States

1.0000

1

1.0000

1

Los Angeles

A

United States

0.9992

2

0.6519

16

Singapore

A

Singapore

0.9708

3

0.7082

5

London

A+

United Kingdom

0.9578

4

0.8756

2

San Francisco

A

United States

0.9408

5

0.6554

14

Shenzhen

B

China

0.9337

6

0.5761

35

Tokyo

A-

Japan

0.9205

7

0.7371

3

San Jose

A

United States

0.9158

8

0.6342

22

Munich

B+

Germany

0.9053

9

0.6402

18

Dallas

A-

United States

0.9026

10

0.5805

32

Houston

A-

United States

0.9000

11

0.6792

8

Hong Kong

A

Hong Kong,China

0.8873

12

0.6581

13

Seoul

A-

Korea, South

0.8478

13

0.7023

7

Shanghai

A-

China

0.8367

14

0.6110

27

Guangzhou

B+

China

0.8346

15

0.5746

36

Miami

B+

United States

0.8162

16

0.5305

53

Chicago

A-

United States

0.8151

17

0.6711

10

Boston

A-

United States

0.8121

18

0.7166

4

Dublin

A-

Ireland

0.8109

19

0.5796

33

Beijing

A-

China

0.8102

20

0.6708

11

Paris

A-

France

0.8060

21

0.6771

9

Frankfurt

A-

Germany

0.7993

22

0.6305

23

Tianjin

B-

China

0.7866

23

0.4735

93

Stockholm

B+

Sweden

0.7862

24

0.6373

21

Philadelphia

B+

United States

0.7837

25

0.6232

24

Seattle

B+

United States

0.7808

26

0.6530

15

Kinki

B-

Japan

0.7699

27

0.5826

31

Suzhou

C+

China

0.7648

28

0.4227

160

Stamford

B

United States

0.7644

29

0.4751

90

Tel Aviv-Yafo

B-

Israel

0.7642

30

0.4018

189

Baltimore

B-

United States

0.7602

31

0.5738

37

Stuttgart

B-

Germany

0.7497

32

0.5482

48

Istanbul

B

Turkey

0.7480

33

0.5850

30

Geneva

B

Switzerland

0.7449

34

0.5496

47

Toronto

B+

Canada

0.7414

35

0.6431

17

Cleveland

B-

United States

0.7366

36

0.4779

85

Atlanta

B+

United States

0.7351

37

0.6397

19

Dusseldorf

B-

Germany

0.7333

38

0.5187

62

Perth

B

Australia

0.7326

39

0.4413

131

Wuhan

C+

China

0.7310

40

0.4535

116

Vienna

B-

Austria

0.7300

41

0.5690

41

San Diego

B

United States

0.7291

42

0.6148

25

Denver

B

United States

0.7272

43

0.4879

76

Nanjing

B-

China

0.7261

44

0.4845

79

Doha

B-

Qatar

0.7261

45

0.4358

140

Detroit

B-

United States

0.7247

46

0.4652

102

Taipei

B-

Taiwan,China

0.7232

47

0.5255

57

Hamburg

B-

Germany

0.7175

48

0.5587

45

Cologne

C+

Germany

0.7151

49

0.4867

77

Zurich

A-

Switzerland

0.7147

50

0.7063

6

Nashville

B-

United States

0.7132

51

0.4085

178

Minneapolis

A-

United States

0.7090

52

0.5346

51

Berlin

C+

Germany

0.7055

53

0.5628

43

Charlotte

B-

United States

0.7048

54

0.5062

67

Moscow

B

Russia

0.7042

55

0.5231

59

Las Vegas

C+

United States

0.6990

56

0.4154

168

Raleigh

C+

United States

0.6973

57

0.5111

66

Abu Dhabi

B+

United Arab Emirates

0.6959

58

0.5198

60

Milwaukee

C+

United States

0.6908

59

0.4083

180

Austin

B-

United States

0.6835

60

0.5736

38

Salt Lake City

C+

United States

0.6816

61

0.5263

56

Chengdu

C+

China

0.6775

62

0.4315

148

Copenhagen

B

Denmark

0.6773

63

0.6016

29

Orlando

C+

United States

0.6772

64

0.4815

82

Sydney

A-

Australia

0.6730

65

0.6071

28

Richmond

C+

United States

0.6704

66

0.4558

112

Dubai

B+

United Arab Emirates

0.6701

67

0.4982

71

Wuxi

C-

China

0.6697

68

0.3553

268

Birmingham

B-

United Kingdom

0.6694

69

0.5170

63

Brussels

B

Belgium

0.6657

70

0.5311

52

Changsha

C

China

0.6657

71

0.4125

173

Hannover

C

Germany

0.6655

72

0.4668

100

Vancouver

B-

Canada

0.6616

73

0.5709

40

Hangzhou

C+

China

0.6601

74

0.4655

101

Essen

C

Germany

0.6598

75

0.4688

98

Columbus

B-

United States

0.6597

76

0.4752

89

Riyadh

B-

Saudi Arabia

0.6589

77

0.3924

202

Baton Rouge

C+

United States

0.6586

78

0.4083

179

Louisville

C+

United States

0.6585

79

0.3804

224

Barcelona

B-

Spain

0.6580

80

0.5714

39

Calgary

B-

Canada

0.6557

81

0.5444

49

Ulsan

C

Korea, South

0.6527

82

0.4525

117

Oslo

A-

Norway

0.6513

83

0.6138

26

Manchester

C+

United Kingdom

0.6471

84

0.5762

34

Qingdao

C+

China

0.6462

85

0.4202

164

Chongqing

C+

China

0.6461

86

0.4545

114

Dortmund

C+

Germany

0.6454

87

0.4673

99

Chukyo

C+

Japan

0.6451

88

0.5051

69

Kuala Lumpur

B-

Malaysia

0.6351

89

0.4773

86

Amsterdam

B+

Netherlands

0.6346

90

0.6378

20

Foshan

C

China

0.6319

91

0.3805

221

Antwerp

C+

Belgium

0.6285

92

0.4118

174

Washington

A-

United States

0.6257

93

0.6606

12

Oklahoma City

C+

United States

0.6228

94

0.3890

209

Sendai

C

Japan

0.6186

95

0.4514

118

Melbourne

B

Australia

0.6182

96

0.5376

50

Virginia Beach

C

United States

0.6165

97

0.3850

214

Phoenix

C+

United States

0.6160

98

0.4453

127

Zhengzhou

C

China

0.6151

99

0.3824

217

Tampa

C+

United States

0.6149

100

0.4220

161

Ningbo

C

China

0.6144

101

0.3625

258

Changzhou

C

China

0.6125

102

0.3450

289

Jedda

C

Saudi Arabia

0.6075

103

0.3359

303

Hamilton

B-

Canada

0.6066

104

0.4906

75

Hiroshima

C-

Japan

0.6065

105

0.3991

192

Jakarta

B-

Indonesia

0.6055

106

0.4370

138

Montreal

B-

Canada

0.6048

107

0.5546

46

Indianapolis

B-

United States

0.6038

108

0.4266

156

Macao

B-

Macao,China

0.6029

109

0.3962

196

Gold Coast

C

Australia

0.6025

110

0.3782

230

Bristol

C+

United Kingdom

0.6003

111

0.5243

58

San Antonio

C+

United States

0.5985

112

0.4344

141

Cincinnati

B-

United States

0.5962

113

0.4859

78

Kansas City

C+

United States

0.5955

114

0.4087

177

Kaosiung

C

Taiwan,China

0.5951

115

0.4001

191

Haifa

C

Israel

0.5945

116

0.4235

159

Hague, The

C+

Netherlands

0.5936

117

0.4456

125

Birmingham

C+

United States

0.5932

118

0.4411

132

Madrid

B-

Spain

0.5904

119

0.5663

42

Rome

C+

Italy

0.5896

120

0.4793

84

Pittsburgh

C+

United States

0.5896

121

0.5288

55

Provo-Orem

C

United States

0.5893

122

0.3253

321

Hartford

C

United States

0.5891

123

0.4027

185

Dongguan

C

China

0.5885

124

0.4257

157

Dalian

C-

China

0.5876

125

0.3908

204

Nantong

C-

China

0.5874

126

0.3583

264

Ottawa

C+

Canada

0.5838

127

0.5137

65

Rotterdam

C+

Netherlands

0.5820

128

0.4619

105

Mexico City

B-

Mexico

0.5793

129

0.4126

172

Dresden

C

Germany

0.5786

130

0.4631

104

Buenos Aires

C+

Argentina

0.5770

131

0.4031

184

Bangkok

C+

Thailand

0.5740

132

0.5060

68

Charleston

C

United States

0.5727

133

0.3837

216

Helsinki

B-

Finland

0.5693

134

0.5608

44

Incheon

C

Korea, South

0.5693

135

0.4974

72

Leipzig

C

Germany

0.5688

136

0.4501

122

Hefei

C

China

0.5686

137

0.4026

187

Providence

C+

United States

0.5674

138

0.4751

91

Sapporo

C+

Japan

0.5673

139

0.4715

96

Glasgow

C+

United Kingdom

0.5665

140

0.4972

73

Xiamen

C

China

0.5660

141

0.4692

97

Brisbane

C

Australia

0.5660

142

0.5192

61

Milan

B-

Italy

0.5657

143

0.4970

74

Allentown

C

United States

0.5649

144

0.3526

273

Lille

C-

France

0.5626

145

0.3902

206

Worcester

C+

United States

0.5623

146

0.4336

145

Colorado Springs

C

United States

0.5606

147

0.3458

286

West Yorkshire

C

United Kingdom

0.5590

148

0.4285

152

Riverside-San Bernardino

C

United States

0.5584

149

0.3707

240

Jinan

C

China

0.5570

150

0.3949

197

Grand Rapids

C

United States

0.5570

151

0.3768

232

Gothenburg

C+

Sweden

0.5559

152

0.4750

92

San Jose

C

Costa Rica

0.5554

153

0.3093

347

Liverpool

C+

United Kingdom

0.5538

154

0.4570

109

Zhenjiang

C-

China

0.5518

155

0.3234

323

Quanzhou

C-

China

0.5513

156

0.3383

298

New Haven

C

United States

0.5455

157

0.5018

70

Xi'an

C

China

0.5454

158

0.4043

182

Shenyang

C

China

0.5442

159

0.3876

211

Dayton

C

United States

0.5431

160

0.3891

208

Edmonton

C

Canada

0.5429

161

0.4808

83

Fuzhou(Fj)

C-

China

0.5420

162

0.3706

242

Changwon

C-

Korea, South

0.5415

163

0.4252

158

Lyon

C+

France

0.5413

164

0.4838

80

Fort Myers

C

United States

0.5399

165

0.3261

319

Yantai

C-

China

0.5391

166

0.3628

257

Knoxville

C

United States

0.5388

167

0.4214

162

Samut Prakan

C-

Thailand

0.5386

168

0.3632

255

Fukuoka

C

Japan

0.5373

169

0.4368

139

Honolulu

C+

United States

0.5371

170

0.3494

277

Columbia

C

United States

0.5371

171

0.4303

149

Zhongshan

C-

China

0.5371

172

0.3881

210

Santiago

C+

Chile

0.5364

173

0.3665

245

Mecca

C-

Saudi Arabia

0.5363

174

0.2905

408

Medina

C-

Saudi Arabia

0.5352

175

0.3274

315

Busan

C-

Korea, South

0.5336

176

0.4570

110

Yangzhou

C-

China

0.5327

177

0.3176

331

Akron

C

United States

0.5291

178

0.3805

223

Delhi

C+

India

0.5282

179

0.3817

218

Adelaide

C

Australia

0.5253

180

0.4573

108

Gebze

C

Turkey

0.5241

181

0.3863

213

Auckland

C+

New Zealand

0.5239

182

0.5168

64

Lima

C+

Peru

0.5233

183

0.3457

288

Ogden

C-

United States

0.5232

184

0.3643

250

Bogota

C+

Colombia

0.5214

185

0.3630

256

Jerusalem

C-

Israel

0.5201

186

0.4115

175

Xuzhou

C-

China

0.5201

187

0.3300

311

Bucharest

C

Romania

0.5199

188

0.4151

169

Zhuhai

C-

China

0.5186

189

0.3534

272

Buffalo

C

United States

0.5181

190

0.3985

193

Marseille

C

France

0.5179

191

0.4209

163

Nottingham

C-

United Kingdom

0.5168

192

0.4562

111

Omaha

C+

United States

0.5158

193

0.3799

225

Shaoxing

C-

China

0.5157

194

0.2953

384

Leicester

C

United Kingdom

0.5156

195

0.4341

143

Daegu

C

Korea, South

0.5155

196

0.4504

121

Montevideo

C

Uruguay

0.5140

197

0.3447

290

Dongying

C-

China

0.5132

198

0.2717

514

Taizhou(Js)

C-

China

0.5128

199

0.2991

373

Panama City

C

Panama

0.5114

200

0.3728

236