“The Growth of the nation depends not on cities, but [on] its villages” 2 .15 -.05 0 .05 .1 Average Population Change, 2000-2010 24000 22000 20000 18000 16000 0 4 6 Population Density 8 Per Capita Income, 2000 Population Change, 2000-2010 Source: U.S. Census 10 .25 Change in Housing Prices, 2001-2006 vs. 2006-2011 0 Houston -.25 New York DC -.5 Detroit -.75 Phoenix -1 Las Vegas 0 .2 .4 .6 Change in FHFA Price, 2001-2006 .8 0 .05 .1 .15 .2 Change in FHFA, 1996-2012 by Quintile of Population Density, 2010 1 2 3 Note: For MSAs with populations greater than 250,000 in 2010. 4 5 0 2 4 6 8 Life Satisfaction by Percent Urbanization (Quintiles) 1 2 3 4 5 The Central Paradox • Why is it that in an era in which transportation and communication costs have virtually vanished, cities have become more important than ever? • Urban resurgence is visible in high income levels, robust housing prices, and a concentration of innovation in urban areas. • This is even clearer in the developing world. City 1950 Pop. 2010 Pop. Change New York 7,891,957 8,175,133 +4 % Chicago 3,620,962 2,695,598 -26% Philadelphia 2,071,605 1,526,006 -26% Los Angeles 1,970,358 3,792,621 +92% Detroit 1,849,568 713,777 -61% Baltimore 949,708 620,961 -34% Cleveland 914,808 396,815 -56% St. Louis 856,796 319,294 -63% Washington 802,178 601,723 -25% Boston 617,594 -23% 801,444 Ford’s Big Idea (River Rouge) The Decline of the Costs of Moving Goods Dollars per Ton Mile (Real) .185063 .02323 1890 2000 year Railroad Revenue per Ton Mile 0 .02 .04 .06 .08 .1 Average Population Growth by Average January Temperature (Quintiles) 1 2 3 4 5 Will the last person to leave Seattle please turn out the lights? Alfred Peet Photo by Postdil The Philips Phenomenon Photo by BotMultichillT 0 .05 .1 .15 Average Population Growth by Share with BA in 2000 (Quintiles) 1 2 3 4 5 Per Capita GDP 2010 . 100000 SAN JOSE 80000 WASHINGT SAN FRAN o o o BOSTON o NEW YORK o oo o o o o DALLAS o oo o LOS ANGE CHICAGO o o oo oo o ATLANTA o o o o o ooo o oooooo ooo o o o LAS VEGA o oo o oDETROIT o o o o oo oo o o oo o o o o o oo o o o o o o o o oo o ooooo ooo o o o o o o o oo o o o o o ooo o o o oo o o ooo o o o o o o oo o o o ooo oo o oo o o oo o o o oo o o o RIVERSIDo o o o o o 60000 40000 20000 .1 .2 .3 Share w. BAs 2000 o o o .4 .5 8 Qujing 6 Chongzuo 0 2 4 Hezhou Lanzhou Laibin Guangyuan Bazhong Suining Loudi Baiyin Zhangjiakou Nanchong Dazhou Yiyang HeyuanHechi Yaan Deyang Mianyang Xiangtan Tianjin Chengdu Yichang Guyuan Yulin Ziyang YuxiBaoshan Kunming Xiaogan Nanning Suizhou Hefei Xiangfan Leshan Fuyang Chongqing Qingyuan Guangan Meishan Zhangjiajie Meizhou Hengyang Yulin Shangqiu Hebi Guigang Shaoyang Beihai Yangjiang Zhoukou Maoming Bengbu Zhumadian Tangshan Datong Tongling Nantong Nanyang Shenzhen Chaohu Ankang Shiyan Hanzhong Changsha Huangshi Yibin Liuzhou Xinyang Zhuzhou Qinhuangdao Changde Xuzhou Longnan Shijiazhuang Heze Qingdao Weihai Jieyang Luohe Wuhan Xiamen Shantou Zigong Maanshan Beijing Jining Liuan Xianning Shuozhou Suzhou Yueyang Huizhou Zhengzhou Laiwu Yongzhou Luzhou Guangzhou Zaozhuang Anshun Zhanjiang Jingmen Tianshui Cangzhou Huaihua Sanya Baoding Yunfu Taian Chuzhou Anqing Guilin Yangzhou Jingzhou Xingtai Yangquan Quanzhou Chenzhou Xuchang Linyi Xianyang Pingdingshan Shaoguan Ganzhou Taizhou Pingliang Hengshui Xian Puyang Jiujiang Taiyuan ZhongShan Chizhou Handan Qingyang Huanggang Wuzhou Suqian Wuhu Anyang Zhaoqing Sanmenxia Ningde Baoji Luoyang Jinan Langfang Huaian Jiangmen Shangluo Tongchuan Haikou Taizhou Xinxiang Putian Pingxiang Liaocheng Dongying Longyan Zibo Zhangzhou Yantai Dezhou Xinzhou Weinan Kaifeng Jiaozuo Zhoushan Lvliang Yanan Wenzhou Nanjing Chaozhou Dongguan RizhaoWeifang Linfen Foshan Yuncheng Jinzhong Shanghai Binzhou Nanchang Shangrao Shaoxing Hangzhou Zhenjiang Changzhou Xuancheng Ningbo Changzhi Jingdezhen Wuxi Sanming Yingtan Jinhua Yichun Xinyu Jincheng Quzhou Lishui Huangshan Nanping Suzhou Huzhou Jian Jiaxing Fuzhou 0 .5 1 1.5 # of Jinshi in Ming/Bianhu 2 2.5 Log GDP PER Person 2010 . 12 Norway Switzerl Denmark Sweden United S Belgium Netherla Canada Ireland Austria FinlandSingapor Japan Germany Iceland France United K Italy China, H Spain Israel Greece Slovenia Portugal Korea Czech Re Slovak R Trinidad Croatia Hungary Estonia Poland Uruguay Chile Lithuani Brazil Latvia Russian Turkey Mexico Argentin Kazakhst Panama Romania ColombiaMonteneg Bulgaria Azerbaij Serbia Peru Thailand Jordan Tunisia Albania Indonesi 10 8 Kyrgyzst 6 300 400 500 PISA Math Score 2009 600 Source: Hanushek, Peterson and Woessman Chinitz: Contrasts in Agglomeration: New York and Pittsburgh Economic Growth and Firm Size 0 .5 1 1.5 2 MSA Employment Growth (1977-2010) by Average Firm Size (1977) Quintiles 1 2 Smallest firms are in Quintile 1 3 4 5 1.5 1 .5 0 Employment Growth, 1977-2009 2 Employment Growth 1977-2009 (by Quintiles of 1977 Firm Size ) 1 2 3 4 5 Venture Capital (1990-1998) and New Industries (2010) 0 5 10 15 20 25 Number of Internet Related Industries (2010) by Number of VC Firms in Zip Code (1990-1998) Quantiles 1 2 3 Fewest Number of VC Establishments are in Quantile 1 4 5 Logan Airport Downtown South Boston Waterfront Innovation District Attract and train smart people and then get out of there way. Quality of life as economic development strategy. Taming the demons of density and providing affordable housing. Congestion in Singapore New Technologies and the City Photo by Mario Roberto Duran Ortiz The High Cost of Overregulating Height Image by QuarterCircleS