Sansanné-Mango: city in Savanes, Togo
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 Sansanné-Mango, Togo on the sprawlmap
Most recent snapshot: Taking into account the entire (i.e. aggregate) street network in Sansanné-Mango as of 2014, the overall level of street-network sprawl is 0.15, which is very well-connected.
Trends in street network construction: The SNDis of street construction for the respective time periods are nan, 0.02, -1.2 and 1.88. Data was not available in 1975.
Quantity of street network construction: The street network in Sansanné-Mango spans a total of 49 kilometers. It is dominated by roads constructed prior to 1975. These roads have an SNDi of nan, 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 nan, 0.02, -0.13 and 0.15. Data was not available in 1975.
Sansanné-Mango and Savanes 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 Savanes rose steadily.
How do development practices in Sansanné-Mango fare in comparison to others in Savanes? Most recently in 2001-2014, street construction in Sansanné-Mango was the 2nd-most disconnected out of the 4 cities in Savanes. Its position in the ranks since 1975 has risen; relative to other cities in Savanes, street construction in Sansanné-Mango has become more disconnected. Sansanné-Mango ranked 4th in 1976-1990, 2nd in 1991-2000 and 2nd in 2001-2014. There was no ranking in 1975 due to unavailable data.
Sansanné-Mango and Togo 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 Togo rose steadily.
How do development practices in Sansanné-Mango fare in comparison to others in Togo? Most recently in 2001-2014, street construction in Sansanné-Mango was the 11th-most disconnected out of the 20 cities in Togo. Its position in the ranks since 1975 has risen; relative to other cities in Togo, street construction in Sansanné-Mango has become more disconnected. Sansanné-Mango ranked 15th in 1976-1990, 16th in 1991-2000 and 11th in 2001-2014. There was no ranking in 1975 due to unavailable data.
Sansanné-Mango and Savanes do not follow the same trend in the disconnectivity of their aggregate street networks. There was not enough data from the city, while the SNDi of street constructions in Savanes rose steadily.
To date, Sansanné-Mango is the 4th-most disconnected out of the 4 cities in Savanes. Its position in the ranks since 1975 has not changed. Sansanné-Mango ranked 4th in 1976-1990, 4th in 1991-2000 and 4th in 2001-2014. There was no ranking in 1975 due to unavailable data.
Sansanné-Mango and Togo do not follow the same trend in the disconnectivity of their aggregate street networks. There was not enough data from the city, while the SNDi of street constructions in Togo rose steadily.
To date, Sansanné-Mango is the 17th-most disconnected out of the 20 cities in Togo. Its position in the ranks since 1975 has fallen; relative to other cities in Togo, the street network in Sansanné-Mango has become more connected. Sansanné-Mango ranked 16th in 1976-1990, 18th in 1991-2000 and 17th in 2001-2014. There was no ranking in 1975 due to unavailable data.
As of 2015, Sansanné-Mango had a built-up area of 0.39 square kilometers, and a population of 139701 people.
These are some other cities with approximately the same population: