Salvador: city in Bahia, Brazil
What exactly constitutes the spatial extent of the city? For these aggregations, we used the Global Human Settlement Layer Urban Center Database (GHS-UCDB) to define the boundaries of the city. These cities -- or urban centers -- cover areas that are densely populated and built-up, and so may extend beyond the spatial borders of these cities that we may be familiar with. The GHS area is shaded in blue.
View Salvador, Brazil on the sprawlmap
Most recent snapshot: Taking into account the entire (i.e. aggregate) street network in Salvador as of 2014, the overall level of street-network sprawl is 4.82, which is highly disconnected.
Trends in street network construction: The SNDis of street construction for the respective time periods are 4.66, nan, 6.77 and 6.65. Data was not available in 1976-1990.
Quantity of street network construction: The street network in Salvador spans a total of 3445 kilometers. It is dominated by roads constructed prior to 1975. These roads have an SNDi of 4.66, which is highly disconnected.
Effect on the aggregate network: New construction in each period adds to the total stock of streets, but does not change streets that have already been built. Therefore, it has a limited effect on the street network as a whole. The SNDis of the aggregate street network in the respective time periods are 4.66, 4.66, 4.78 and 4.82. Overall, the SNDi of the aggregate street network has risen: the street network in Salvador has become more disconnected.
Salvador and Bahia do not follow the same trend in the disconnectivity of their street network constructions. There was not enough data from the city, while the SNDi of street constructions in Bahia was at its lowest in 1976-1990.
How do development practices in Salvador fare in comparison to others in Bahia? Most recently in 2001-2014, street construction in Salvador was the 2nd-most disconnected out of the 21 cities in Bahia. Its position in the ranks since 1975 has fallen; relative to other cities in Bahia, street construction in Salvador has become more connected. Salvador ranked 3rd in 1975, 1st in 1991-2000 and 2nd in 2001-2014. There was no ranking in 1976-1990 due to unavailable data.
Salvador and Brazil do not follow the same trend in the disconnectivity of their street network constructions. There was not enough data from the city, while the SNDi of street constructions in Brazil rose steadily.
How do development practices in Salvador fare in comparison to others in Brazil? Most recently in 2001-2014, street construction in Salvador was the 22nd-most disconnected out of the 348 cities in Brazil. Its position in the ranks since 1975 has fallen; relative to other cities in Brazil, street construction in Salvador has become more connected. Salvador ranked 8th in 1975, 18th in 1991-2000 and 22nd in 2001-2014. There was no ranking in 1976-1990 due to unavailable data.
Salvador and Bahia do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Salvador rose steadily, while the SNDi of street constructions in Bahia was at its lowest in 1976-1990.
To date, Salvador is the 1st-most disconnected out of the 21 cities in Bahia. Its position in the ranks since 1975 has risen; relative to other cities in Bahia, the street network in Salvador has become more disconnected. Salvador ranked 3rd in 1975, 3rd in 1976-1990, 1st in 1991-2000 and 1st in 2001-2014.
Salvador and Brazil do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Salvador rose steadily, while the SNDi of street constructions in Brazil rose steadily.
To date, Salvador is the 10th-most disconnected out of the 348 cities in Brazil. Its position in the ranks since 1975 has fallen; relative to other cities in Brazil, the street network in Salvador has become more connected. Salvador ranked 8th in 1975, 12th in 1976-1990, 10th in 1991-2000 and 10th in 2001-2014.
As of 2015, Salvador had a built-up area of 105.3 square kilometers, and a population of 3030495 people.
These are some other cities with approximately the same population: