From: Building-related health impacts in European and Chinese cities: a scalable assessment method
City | Populationa | Population density / km2a | Area (km2) | Annual mean temperatureb | Total annual precipitationb | GHG emissions Mt CO2-eq | Life expectancy male/female |
---|---|---|---|---|---|---|---|
Basel | 192 000 | 7 564 | 23.9 | 9.5 | 784 | 2.4 | 76.1 / 81.6 |
Kuopio | 105 000 | 46 | 3165.0 | 2.7 | 498 | 1.02 | 76.7 / 83.2d |
Rotterdam | 550 000 | 2 952 | 325.8 | 10.4 | 856 | 32.6 | 75.7 / 81.2 |
Stuttgart | 590 000 | 2 958 | 207.4 | 9.6 | 689 | 5.1 | 78 / 83e |
Suzhou | 10.6 million (urban 5.5 million) | 1 200 (urban 2 000) | 8 488 (urban 2 743) | 17.0 | 932 | 181 | 74 / 77f |
Thessaloniki | 1.1 million (urban 790 000) | 692 (urban 7 080) | 1 456 (urban 112) | 15.6 | 458 | 78 / 84g | |
Xi’an | 8.5 million (urban 6.5 million) | 850 (urban 7 900) | 9 983 (urban 826) | average high 19.3, average low 9.2 | 553 | road traffic 15c | 73.3 / 78.3 |