![]() Data for 2011 are available through the Nomis website by the Office of National Statistics ( ) or from. The data for the first three of these years are available from the Casweb website (UK Data Service) of the Economic and Social Research Council ( ). London: we used national census data for London for 1981, 1991, 20. The 20 data are available through the e-Stat website of Statistics Bureau of Japan ( ). The 19 data are available from Statistical Information Institute for Consulting and Analysis ( ) for a fee. Tokyo: we used national census data for Tokyo for 1980, 1990, 20. ![]() Detailed information for each city is listed below. All data can be obtained from the original source. The data for each country are publicly available and owned by the respective governments (the US Census Bureau for New York the Office for National Statistics for London and the Statistics Bureau, Ministry of Internal Affairs and Communications for Tokyo). The main data used in our study are national census data for the United States, Japan and the United Kingdom. Professionalization of the workforce is accompanied by reduced levels of segregation by income, and two ongoing megatrends in urban change: gentrification of inner-city neighbourhoods and suburbanization of poverty, with larger changes in the social geography than in levels of segregation. In New York and London, individuals in high-income occupations are concentrating in the city centre, while low-income occupations are pushed to urban peripheries. Segregation was highest in New York and lowest in Tokyo. Our analysis shows an increase in the share of high-income occupations, accompanied by a fall in low-income occupations in all three cities, providing strong evidence for a consistent trend of professionalization of the workforce. ![]() Here, using data for New York City, London and Tokyo, we reframe and answer this question for recent decades. ![]() Based on data from the 1980s, Sassen’s influential book ‘The Global City’ interrogated how changes in the occupational structure affect socio-economic residential segregation in global cities. ![]()
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