Cáceres: city in Mato Grosso, 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 Cáceres, Brazil on the sprawlmap
Most recent snapshot: Taking into account the entire (i.e. aggregate) street network in Cáceres as of 2014, the overall level of street-network sprawl is 0.37, which is very well-connected.
Trends in street network construction: The SNDis of street construction for the respective time periods are 0.28, nan, 0.47 and 0.87. Data was not available in 1976-1990.
Quantity of street network construction: The street network in Cáceres spans a total of 282 kilometers. It is dominated by roads constructed prior to 1975. These roads have an SNDi of 0.28, which is very well-connected.
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 0.28, 0.28, 0.32 and 0.37. Overall, the SNDi of the aggregate street network has risen: the street network in Cáceres has become more disconnected.
Cáceres and Mato Grosso 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 Mato Grosso rose steadily.
How do development practices in Cáceres fare in comparison to others in Mato Grosso? Most recently in 2001-2014, street construction in Cáceres was the 3rd-most disconnected out of the 7 cities in Mato Grosso. Its position in the ranks since 1975 has risen; relative to other cities in Mato Grosso, street construction in Cáceres has become more disconnected. Cáceres ranked 4th in 1975, 5th in 1991-2000 and 3rd in 2001-2014. There was no ranking in 1976-1990 due to unavailable data.
Cáceres 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 Cáceres fare in comparison to others in Brazil? Most recently in 2001-2014, street construction in Cáceres was the 303rd-most disconnected out of the 348 cities in Brazil. Its position in the ranks since 1975 has risen; relative to other cities in Brazil, street construction in Cáceres has become more disconnected. Cáceres ranked 262nd in 1975, 313th in 1991-2000 and 303rd in 2001-2014. There was no ranking in 1976-1990 due to unavailable data.
Cáceres and Mato Grosso do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Cáceres rose steadily, while the SNDi of street constructions in Mato Grosso rose steadily.
To date, Cáceres is the 5th-most disconnected out of the 7 cities in Mato Grosso. Its position in the ranks since 1975 has fallen; relative to other cities in Mato Grosso, the street network in Cáceres has become more connected. Cáceres ranked 4th in 1975, 5th in 1976-1990, 5th in 1991-2000 and 5th in 2001-2014.
Cáceres and Brazil do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Cáceres rose steadily, while the SNDi of street constructions in Brazil rose steadily.
To date, Cáceres is the 304th-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 Cáceres has become more connected. Cáceres ranked 262nd in 1975, 295th in 1976-1990, 302nd in 1991-2000 and 304th in 2001-2014.
As of 2015, Cáceres had a built-up area of 6.55 square kilometers, and a population of 65883 people.
These are some other cities with approximately the same population: