Urban Informal Settlements Survey 2016
Bangladesh, 2016
Get Microdata
Reference ID
BGD_2016_UIS_v01_M
Producer(s)
Monica Yanez-Pagans
Metadata
Created on
Jul 20, 2017
Last modified
Jul 20, 2017
Page views
79927
Downloads
45600
District code were you were born (a1_8)
Data file: hh_sec_1_000_rev
Overview
Valid:
2516
Invalid:
0
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
22
End:
23
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
District code and upazila name were you were born
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Dinajpur | 13 |
0.5%
|
| 2 | Panchagarh | 5 |
0.2%
|
| 3 | Thakurgaon | 2 |
0.1%
|
| 4 | Rangpur | 45 |
1.8%
|
| 5 | Nilfamari | 9 |
0.4%
|
| 6 | Lalmonirhaat | 2 |
0.1%
|
| 7 | Kurigram | 17 |
0.7%
|
| 8 | Gaibandha | 21 |
0.8%
|
| 9 | Bogra | 16 |
0.6%
|
| 10 | Jaipurhaat | 2 |
0.1%
|
| 11 | Rajshahi | 8 |
0.3%
|
| 12 | Naogaon | 5 |
0.2%
|
| 13 | Chapainababgan | 2 |
0.1%
|
| 14 | Natore | 7 |
0.3%
|
| 15 | Pabna | 16 |
0.6%
|
| 16 | Sirajganj | 5 |
0.2%
|
| 17 | Dhaka | 395 |
15.7%
|
| 18 | Gazipur | 6 |
0.2%
|
| 19 | Manikgank | 7 |
0.3%
|
| 20 | Munshiganj | 29 |
1.2%
|
| 21 | Narayanganj | 19 |
0.8%
|
| 22 | Narshingdhi | 17 |
0.7%
|
| 23 | Faridpur | 32 |
1.3%
|
| 24 | Madaripur | 33 |
1.3%
|
| 25 | Shariatpur | 53 |
2.1%
|
| 26 | Rajbari | 0 |
0%
|
| 27 | Gopalganj | 10 |
0.4%
|
| 28 | Mymensingh | 117 |
4.7%
|
| 29 | Netrokona | 59 |
2.3%
|
| 30 | Kishoreganj | 193 |
7.7%
|
| 31 | Tangail, | 5 |
0.2%
|
| 32 | Jamalpur | 26 |
1%
|
| 33 | Sherpur | 16 |
0.6%
|
| 34 | Khulna | 17 |
0.7%
|
| 35 | Shathkhira | 9 |
0.4%
|
| 36 | Bagherhaat | 6 |
0.2%
|
| 37 | Jessore | 4 |
0.2%
|
| 38 | Narail | 1 |
0%
|
| 39 | Magura | 3 |
0.1%
|
| 40 | Jhinaidaha | 5 |
0.2%
|
| 41 | Kushtia, | 3 |
0.1%
|
| 42 | Chuadanga | 1 |
0%
|
| 43 | Meherpur | 0 |
0%
|
| 44 | Barisal | 101 |
4%
|
| 45 | Jhalakathi | 6 |
0.2%
|
| 46 | Pirojpur | 21 |
0.8%
|
| 47 | Bhola | 253 |
10.1%
|
| 48 | Patuakhali | 97 |
3.9%
|
| 49 | Barguna | 15 |
0.6%
|
| 50 | Chattagram | 1 |
0%
|
| 51 | Cox?sbazar | 1 |
0%
|
| 52 | Rangamati | 0 |
0%
|
| 53 | Khagrachori | 0 |
0%
|
| 54 | Bandarban | 0 |
0%
|
| 55 | Noakhali | 36 |
1.4%
|
| 56 | Lakhhipur | 15 |
0.6%
|
| 57 | Feni | 1 |
0%
|
| 58 | Comilla | 62 |
2.5%
|
| 59 | Chandpur | 46 |
1.8%
|
| 60 | Brammanbaria | 25 |
1%
|
| 61 | Sylhet | 4 |
0.2%
|
| 62 | Moulavibazar | 2 |
0.1%
|
| 63 | Habiganj, | 8 |
0.3%
|
| 64 | Sunamganj | 34 |
1.4%
|
| 77 | Abroad | 11 |
0.4%
|
| 88 | Come from other slum in the district | 16 |
0.6%
|
| 99 | Born in this slum | 520 |
20.7%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
If born in this slum write ‘99’ in district code and leave blank upazila name