Least Dense in Dhaka Division

Top 41 cities ranked by least dense

Least Dense - Dhaka Division

1 Green Model Town 35/mi²
2 Nawāb Char 40/mi²
3 Mātuail 118/mi²
4 Dukuria 130/mi²
5 Dhanmondi 186/mi²
6 Pālang 231/mi²
7 Madaripur 290/mi²
8 Kishorganj 358/mi²
9 Farīdpur 384/mi²
10 Bājitpur 402/mi²
11 Narsingdi 420/mi²
12 Ramna Maidan 493/mi²
13 Dohār 522/mi²
14 Motijheel 694/mi²
15 Bhatara 1,113/mi²
16 Kafrul 1,166/mi²
17 Sonārgaon 1,215/mi²
18 Mānikganj 1,249/mi²
19 Bhairab Bāzār 1,680/mi²
20 Mirpur Model Thana 1,875/mi²
21 Tungipara 1,943/mi²
22 Char Bhadrāsan 1,967/mi²
23 Gopālganj 2,043/mi²
24 Pallabi 2,050/mi²
25 Bhanga 3,063/mi²
26 Sakhipur 3,087/mi²
27 Sayani 3,485/mi²
28 Khanbaniara 3,485/mi²
29 Ramnagar 3,485/mi²
30 Singair 3,485/mi²
31 Nagar Naluākot 3,760/mi²
32 Savar 9,253/mi²
33 Gazipur 10,392/mi²
34 Mirzāpur 12,428/mi²
35 Tangail 18,991/mi²
36 Tungi 29,094/mi²
37 Nāgarpur 46,613/mi²
38 Narayanganj 74,688/mi²
39 Dhaka 118,235/mi²
40 Azimpur 214,758/mi²
41 Paltan 335,440/mi²

The least densely populated cities in Dhaka Division offer spacious living with more land per resident. Green Model Town has just 35 people per square mile. These cities provide room to spread out with larger lot sizes and more open space.

Low-density cities typically feature more single-family homes with larger yards, easier parking, and less traffic congestion. They appeal to families seeking space, privacy, and access to nature without moving to a fully rural area.

While the spread-out nature of these cities means longer drives to amenities and greater reliance on personal vehicles, many residents value the trade-off for quieter neighborhoods and a more relaxed pace of life.

Did You Know?

  • 1. In Green Model Town, there are only 35 people per square mile - each resident has roughly 785,971 square feet of city space.
  • 2. Low-density cities often have significantly lower housing costs due to more available land for development.
  • 3. Many of the least dense cities are located in the western United States, where vast open spaces define the landscape.

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