Dhaka Low Income Area Gender, Inclusion, and Poverty Survey 2018
Bangladesh, 2018
Get Microdata
Reference ID
BGD_2018_DIGNITY_v01_M
Producer(s)
The World Bank Group
Metadata
Created on
Mar 05, 2020
Last modified
Mar 09, 2020
Page views
44667
Downloads
3283
- Data files
- hh_sec_02
- hh_sec_03
- hh_sec_04a
- hh_sec_04b
- hh_sec_04c
- hh_sec_05
- ind_sec_02a
- ind_sec_02b
- ind_sec_03
- ind_sec_04a
- ind_sec_04b
- ind_sec_05a
- ind_sec_05b
- ind_sec_06
- ind_sec_07a
- ind_sec_07b
- ind_sec_08a
- ind_sec_09
- ind_sec_10
- ind_sec_11
- ind_sec_12
- ind_sec_13
- ind_sec_14a
- ind_sec_14b
- ind_sec_14c
- ind_sec_15
- ind_sec_16a
- ind_sec_16b
- weight
SI6_02d What is the name of the Zilla you were living before? (si6_02d)
Data file: ind_sec_06
Overview
Valid:
2001
Invalid:
0
Type:
Discrete
Start:
33
End:
48
Width:
16
Range:
-
Format:
character
Questions and instructions
Literal question
SI6_02d What is the name of the Zilla you were living before?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 5 |
0.2%
|
|
| ALDI | 1 |
0%
|
|
| B BARIYA | 3 |
0.1%
|
|
| B-BARIA | 1 |
0%
|
|
| B.BARIYA | 1 |
0%
|
|
| BAGARHAT | 1 |
0%
|
|
| BAGER HAT | 2 |
0.1%
|
|
| BAGERHAT | 5 |
0.2%
|
|
| BAGORA | 1 |
0%
|
|
| BANBARIYA | 1 |
0%
|
|
| BARAMONBARIYA | 1 |
0%
|
|
| BARGHUNA | 1 |
0%
|
|
| BARGUNA | 1 |
0%
|
|
| BARISAL | 42 |
2.1%
|
|
| BARISHAL | 13 |
0.6%
|
|
| BAROMONBARIYA | 1 |
0%
|
|
| BHOLA | 9 |
0.4%
|
|
| BHULA | 3 |
0.1%
|
|
| BHULLA | 1 |
0%
|
|
| BIBARIA | 1 |
0%
|
|
| BIBARIYA | 2 |
0.1%
|
|
| BIKROMPUR | 3 |
0.1%
|
|
| BIRAMMANBARIYA | 1 |
0%
|
|
| BIRAMMON BARIYA | 1 |
0%
|
|
| BIRAMMONBARIYA | 1 |
0%
|
|
| BOGORA | 1 |
0%
|
|
| BOGURA | 9 |
0.4%
|
|
| BOGURA SADAR | 1 |
0%
|
|
| BOLA | 1 |
0%
|
|
| BONANI | 1 |
0%
|
|
| BONSHAL | 1 |
0%
|
|
| BORESAL | 2 |
0.1%
|
|
| BORESHAL | 6 |
0.3%
|
|
| BORGHUNA | 1 |
0%
|
|
| BORGONA | 3 |
0.1%
|
|
| BORGUNA | 18 |
0.9%
|
|
| BORISAL | 32 |
1.6%
|
|
| BORISHAL | 23 |
1.1%
|
|
| BORISHSL | 1 |
0%
|
|
| BORUSAL | 1 |
0%
|
|
| BRAHMANBARIA | 1 |
0%
|
|
| BRAHMONBARIA | 1 |
0%
|
|
| BRAMBRIA | 1 |
0%
|
|
| BRAMHANBARIA | 1 |
0%
|
|
| BRAMMAN BARIA | 1 |
0%
|
|
| BRAMONBARIA | 5 |
0.2%
|
|
| BRAMONBARIYA | 1 |
0%
|
|
| BRANMONBARIA | 1 |
0%
|
|
| BRMONBARIA | 2 |
0.1%
|
|
| BROMMONBARIA | 1 |
0%
|
|
| BROMMONBARIYA | 1 |
0%
|
|
| BURGUNA | 2 |
0.1%
|
|
| CADPUR | 4 |
0.2%
|
|
| CAMILLA | 1 |
0%
|
|
| CAPAINOBABGONG | 1 |
0%
|
|
| CHAD PUR | 1 |
0%
|
|
| CHADPUR | 25 |
1.2%
|
|
| CHAKBAZZAR | 1 |
0%
|
|
| CHAND PUR | 1 |
0%
|
|
| CHANDPOR | 1 |
0%
|
|
| CHANDPUR | 4 |
0.2%
|
|
| CHATAGANK | 1 |
0%
|
|
| CHITAGANG | 2 |
0.1%
|
|
| CHITAGANJ | 1 |
0%
|
|
| CHITAGONG | 2 |
0.1%
|
|
| CHITTAGONG | 7 |
0.3%
|
|
| CHUMILLA | 1 |
0%
|
|
| COMILA | 2 |
0.1%
|
|
| COMILLA | 16 |
0.8%
|
|
| COTTOGRAM | 1 |
0%
|
|
| COX BAZAR | 2 |
0.1%
|
|
| CUMILLA | 2 |
0.1%
|
|
| CUMILLAH | 1 |
0%
|
|
| DHAJS | 1 |
0%
|
|
| DHAKA | 628 |
31.4%
|
|
| DHWKA | 1 |
0%
|
|
| DINAJ PUR | 1 |
0%
|
|
| DINAJPUR | 11 |
0.5%
|
|
| DINASPUR | 3 |
0.1%
|
|
| DINAZPUR | 4 |
0.2%
|
|
| DOMDOMA KALKATA | 1 |
0%
|
|
| FARIDFUR | 1 |
0%
|
|
| FARIDPUR | 10 |
0.5%
|
|
| FEROJPUR | 1 |
0%
|
|
| FORID PUR | 6 |
0.3%
|
|
| FORIDPUR | 19 |
0.9%
|
|
| FORITPUR | 1 |
0%
|
|
| FULPUR | 2 |
0.1%
|
|
| GAI BANDA | 1 |
0%
|
|
| GAIBANDA | 4 |
0.2%
|
|
| GAIBANDHA | 16 |
0.8%
|
|
| GAIBANFHA | 1 |
0%
|
|
| GAJIPUR | 3 |
0.1%
|
|
| GAYBANDA | 1 |
0%
|
|
| GAZIPUR | 10 |
0.5%
|
|
| GHAIBANGHA | 1 |
0%
|
|
| GOLSAN | 1 |
0%
|
|
| GOPAL GONG | 2 |
0.1%
|
|
| GOPAL GONJ | 1 |
0%
|
|
| GOPAL JONG | 1 |
0%
|
|
| GOPALGOJ | 1 |
0%
|
|
| GOPALGONJ | 4 |
0.2%
|
|
| GUIBANDA | 3 |
0.1%
|
|
| HIBANDA | 1 |
0%
|
|
| HOBBI GONG | 1 |
0%
|
|
| HOBIGONG | 6 |
0.3%
|
|
| HOBIGONJ | 5 |
0.2%
|
|
| HOBIJONG | 1 |
0%
|
|
| HOMNA | 1 |
0%
|
|
| INDIA | 1 |
0%
|
|
| JALOKATE | 1 |
0%
|
|
| JALOKATI | 3 |
0.1%
|
|
| JALOKHATE | 1 |
0%
|
|
| JALUKATHI | 1 |
0%
|
|
| JAMAL PUR | 3 |
0.1%
|
|
| JAMALPOR | 1 |
0%
|
|
| JAMALPUR | 35 |
1.7%
|
|
| JASOR | 1 |
0%
|
|
| JENAIDAH | 1 |
0%
|
|
| JESSOR | 1 |
0%
|
|
| JESSORE | 2 |
0.1%
|
|
| JESSRE | 1 |
0%
|
|
| JHALKATI | 1 |
0%
|
|
| JHALOKATHI | 1 |
0%
|
|
| JHALOTKATHI | 1 |
0%
|
|
| JHENIDAH | 1 |
0%
|
|
| JINAIDOHO | 1 |
0%
|
|
| JJHALOKATI | 1 |
0%
|
|
| JOSHOR | 1 |
0%
|
|
| JOSOR | 1 |
0%
|
|
| JOSSEOR | 1 |
0%
|
|
| JOSSOR | 1 |
0%
|
|
| KAMRANGICHOR | 1 |
0%
|
|
| KAMRANGIR CHOR | 1 |
0%
|
|
| KAPASIYA | 1 |
0%
|
|
| KARANIGONG | 1 |
0%
|
|
| KEMELLA | 1 |
0%
|
|
| KERANIGANJ DHAKA | 1 |
0%
|
|
| KESHORGONG | 3 |
0.1%
|
|
| KESHORGUNS | 1 |
0%
|
|
| KESORGONG | 4 |
0.2%
|
|
| KHAGRACORI | 1 |
0%
|
|
| KHILGAON | 1 |
0%
|
|
| KHULANA | 1 |
0%
|
|
| KHULNA | 19 |
0.9%
|
|
| KISHARGONJ | 1 |
0%
|
|
| KISHOR HONJ | 1 |
0%
|
|
| KISHORGONG | 5 |
0.2%
|
|
| KISHORGONJ | 17 |
0.8%
|
|
| KISJORGONJ | 1 |
0%
|
|
| KISOR GONJ | 4 |
0.2%
|
|
| KISOREGONG | 1 |
0%
|
|
| KISORGOANG | 1 |
0%
|
|
| KISORGOJ | 1 |
0%
|
|
| KISORGON | 2 |
0.1%
|
|
| KISORGONG | 24 |
1.2%
|
|
| KISORGONJ | 15 |
0.7%
|
|
| KOMILLA | 7 |
0.3%
|
|
| KOMMILLA | 1 |
0%
|
|
| KOMOLNAGOR | 1 |
0%
|
|
| KOREGRAM | 1 |
0%
|
|
| KORIGERAM | 1 |
0%
|
|
| KOSSOBPUR | 1 |
0%
|
|
| KOSTIYA | 1 |
0%
|
|
| KOTILEY | 1 |
0%
|
|
| KULNA | 2 |
0.1%
|
|
| KULPUDDI | 1 |
0%
|
|
| KUMILLA | 7 |
0.3%
|
|
| KUMILLAH | 1 |
0%
|
|
| KUREGRAM | 1 |
0%
|
|
| KURI GRAM | 1 |
0%
|
|
| KURIGRAM | 11 |
0.5%
|
|
| KUSTIA | 2 |
0.1%
|
|
| KUSTIYA | 1 |
0%
|
|
| KUSTRIYA | 1 |
0%
|
|
| LAKHIPOR | 1 |
0%
|
|
| LAKSMIPUR | 1 |
0%
|
|
| LALBAG | 1 |
0%
|
|
| LALBUGH | 1 |
0%
|
|
| LALMOHON | 1 |
0%
|
|
| LALMONI HAT | 1 |
0%
|
|
| LALMONIHAT | 3 |
0.1%
|
|
| LALMONIR HAT | 2 |
0.1%
|
|
| LALMONIRHAT | 5 |
0.2%
|
|
| LOKHMIPUR | 1 |
0%
|
|
| LOKKHIPUR | 1 |
0%
|
|
| LOKKI PUR | 1 |
0%
|
|
| LOKKIPUR | 1 |
0%
|
|
| MADARE PUR | 1 |
0%
|
|
| MADAREPUR | 4 |
0.2%
|
|
| MADARI PUR | 3 |
0.1%
|
|
| MADARIPUR | 45 |
2.2%
|
|
| MADARPUR | 1 |
0%
|
|
| MADARUPUR | 1 |
0%
|
|
| MADBOR BAZIR | 1 |
0%
|
|
| MADDARIPUR | 1 |
0%
|
|
| MADIRIDPUR | 1 |
0%
|
|
| MADRIPUR | 2 |
0.1%
|
|
| MAGORA | 1 |
0%
|
|
| MAGURA | 6 |
0.3%
|
|
| MANIKGHONG | 1 |
0%
|
|
| MANIKGONG | 2 |
0.1%
|
|
| MANIKGONJ | 2 |
0.1%
|
|
| MATHARIPUR | 1 |
0%
|
|
| MAYMAN SING | 2 |
0.1%
|
|
| MAYMANSHING | 3 |
0.1%
|
|
| MAYMANSING | 10 |
0.5%
|
|
| MAYMANSINH | 1 |
0%
|
|
| MAYMENSING | 1 |
0%
|
|
| MAYMENSINGH | 2 |
0.1%
|
|
| MAYMONSING | 3 |
0.1%
|
|
| MIRPUR | 1 |
0%
|
|
| MOGBAZAR | 1 |
0%
|
|
| MOHAKHALI | 1 |
0%
|
|
| MOIMONSHING | 2 |
0.1%
|
|
| MOIMUNSIN | 1 |
0%
|
|
| MONSHE GONG | 1 |
0%
|
|
| MONSHEGONG | 1 |
0%
|
|
| MONSHIGONG | 1 |
0%
|
|
| MONSHIGONJ | 2 |
0.1%
|
|
| MONSIGONG | 2 |
0.1%
|
|
| MONSIGONJ | 2 |
0.1%
|
|
| MOTHERIPUR | 2 |
0.1%
|
|
| MOUAGHAT | 1 |
0%
|
|
| MOYMANSHING | 2 |
0.1%
|
|
| MOYMANSING | 1 |
0%
|
|
| MOYMINSING | 1 |
0%
|
|
| MOYMKNSHINGHO | 1 |
0%
|
|
| MOYMONSHIN | 1 |
0%
|
|
| MOYMONSHING | 1 |
0%
|
|
| MOYMONSHINGH | 1 |
0%
|
|
| MOYMONSHINGHO | 9 |
0.4%
|
|
| MOYMONSHINH | 1 |
0%
|
|
| MOYMONSHINHO | 1 |
0%
|
|
| MOYMONSING | 12 |
0.6%
|
|
| MOYMONSINGH | 1 |
0%
|
|
| MOYMONSINGHO | 2 |
0.1%
|
|
| MOYMONSINH | 2 |
0.1%
|
|
| MUDRIAPUR | 1 |
0%
|
|
| MUMENSINGH | 3 |
0.1%
|
|
| MUNCIGONG | 1 |
0%
|
|
| MUNSHIGONG | 1 |
0%
|
|
| MUNSHIGONJ | 2 |
0.1%
|
|
| MUNSIGANG | 1 |
0%
|
|
| MUNSIGONG | 8 |
0.4%
|
|
| MUNSIGONJ | 3 |
0.1%
|
|
| MUNSIJONG | 2 |
0.1%
|
|
| MYMANSHING | 6 |
0.3%
|
|
| MYMANSING | 1 |
0%
|
|
| MYMENSHING | 4 |
0.2%
|
|
| MYMENSHINGH | 1 |
0%
|
|
| MYMENSING | 17 |
0.8%
|
|
| MYMENSINGH | 12 |
0.6%
|
|
| MYMOHONSHING | 1 |
0%
|
|
| MYMONSHING | 7 |
0.3%
|
|
| MYMONSHINGHO | 3 |
0.1%
|
|
| MYMONSING | 7 |
0.3%
|
|
| MYMONSINGH | 2 |
0.1%
|
|
| MYMONSINHO | 1 |
0%
|
|
| MYMRNSINGH | 1 |
0%
|
|
| MYOMONSHINGHO | 1 |
0%
|
|
| MYSMENSING | 1 |
0%
|
|
| NAOGAON | 1 |
0%
|
|
| NARAINGONG | 1 |
0%
|
|
| NARAIONGONG | 1 |
0%
|
|
| NARANGHONG | 1 |
0%
|
|
| NARANGONG | 6 |
0.3%
|
|
| NARANGONJ | 2 |
0.1%
|
|
| NARANONGONG | 1 |
0%
|
|
| NARAONGONG | 2 |
0.1%
|
|
| NARAYAN GONJ | 2 |
0.1%
|
|
| NARAYANGANJ | 1 |
0%
|
|
| NARAYANGONG | 1 |
0%
|
|
| NARAYANGONJ | 8 |
0.4%
|
|
| NARAYANHONJ | 1 |
0%
|
|
| NARAYNGONJ | 2 |
0.1%
|
|
| NARAYON GONG | 1 |
0%
|
|
| NARAYON GONJ | 2 |
0.1%
|
|
| NARAYONGONG | 7 |
0.3%
|
|
| NARAYONGONJ | 2 |
0.1%
|
|
| NARIONGONG | 1 |
0%
|
|
| NAROUNGONG | 1 |
0%
|
|
| NATOKONA | 1 |
0%
|
|
| NATOR | 4 |
0.2%
|
|
| NATRO KONA | 2 |
0.1%
|
|
| NATROKONA | 9 |
0.4%
|
|
| NETRAKONA | 4 |
0.2%
|
|
| NETRO KONA | 1 |
0%
|
|
| NETROCKONA | 1 |
0%
|
|
| NETROKHONA | 1 |
0%
|
|
| NETROKONA | 30 |
1.5%
|
|
| NETRUKUNA | 1 |
0%
|
|
| NETTROKONA | 1 |
0%
|
|
| NIL FAMARI | 1 |
0%
|
|
| NILFAMARE | 1 |
0%
|
|
| NILFAMARI | 9 |
0.4%
|
|
| NILPHAMARI | 3 |
0.1%
|
|
| NILPHAMARY | 2 |
0.1%
|
|
| NITROKONA | 2 |
0.1%
|
|
| NOAGAN | 2 |
0.1%
|
|
| NOAGOAN | 2 |
0.1%
|
|
| NOAKHALI | 4 |
0.2%
|
|
| NOHAKHALI | 1 |
0%
|
|
| NORSHINGDI | 2 |
0.1%
|
|
| NORSINDI | 3 |
0.1%
|
|
| NORSINGDI | 6 |
0.3%
|
|
| NOUAKHALY | 1 |
0%
|
|
| NOWAKHALI | 3 |
0.1%
|
|
| NOWGA | 2 |
0.1%
|
|
| NOYAKHALAY | 1 |
0%
|
|
| NOYAKHALI | 5 |
0.2%
|
|
| PABNA | 11 |
0.5%
|
|
| PANCHOGOR | 1 |
0%
|
|
| PATARGHATA | 1 |
0%
|
|
| PATUAKHALI | 10 |
0.5%
|
|
| PATUYAKHALI | 4 |
0.2%
|
|
| PAUTAKHALI | 2 |
0.1%
|
|
| PIROJPOR | 1 |
0%
|
|
| PIROJPUR | 7 |
0.3%
|
|
| PIROZPUR | 2 |
0.1%
|
|
| PIRUJPUR | 1 |
0%
|
|
| PONCHOGOR | 1 |
0%
|
|
| POSHCHIM PARA | 1 |
0%
|
|
| POTHUAKHALI | 1 |
0%
|
|
| POTOAKHALI | 2 |
0.1%
|
|
| POTOAKHALY | 1 |
0%
|
|
| POTOWA KHALI | 2 |
0.1%
|
|
| POTOWA KHALY | 1 |
0%
|
|
| POTOWAKHALI | 1 |
0%
|
|
| POTOYAKHALI | 1 |
0%
|
|
| POTUA KHALI | 1 |
0%
|
|
| POTUAKHALI | 24 |
1.2%
|
|
| POTUAKHLAI | 1 |
0%
|
|
| POTUKHALI | 1 |
0%
|
|
| POTUKHLI | 1 |
0%
|
|
| POTUYA KHALI | 1 |
0%
|
|
| POTUYAKALI | 2 |
0.1%
|
|
| POTUYAKHALI | 6 |
0.3%
|
|
| POUTAKHALI | 1 |
0%
|
|
| POUTUKHALI | 1 |
0%
|
|
| POYUAKALI | 1 |
0%
|
|
| PRICEPUR | 1 |
0%
|
|
| PROAJPUR | 1 |
0%
|
|
| PURASPUR | 1 |
0%
|
|
| PUTIAKHLI | 1 |
0%
|
|
| PUTOYAKHALI | 1 |
0%
|
|
| RAJ BARI | 1 |
0%
|
|
| RAJ SHAHI | 1 |
0%
|
|
| RAJBARI | 2 |
0.1%
|
|
| RAJSHAHI | 10 |
0.5%
|
|
| RAJSHAI | 1 |
0%
|
|
| RANGPUR | 6 |
0.3%
|
|
| RONGPUR | 12 |
0.6%
|
|
| RONPUR | 1 |
0%
|
|
| SAHRIOTPUR | 1 |
0%
|
|
| SARIOTPUR | 2 |
0.1%
|
|
| SARPUR | 1 |
0%
|
|
| SATANI | 1 |
0%
|
|
| SATHKHIRA | 1 |
0%
|
|
| SATKHIRA | 4 |
0.2%
|
|
| SAVER | 1 |
0%
|
|
| SELIT | 1 |
0%
|
|
| SERPUR | 6 |
0.3%
|
|
| SHARIATPUR | 2 |
0.1%
|
|
| SHARIOTPUR | 3 |
0.1%
|
|
| SHARITPUR | 1 |
0%
|
|
| SHARIYETPUR | 1 |
0%
|
|
| SHATKHERA | 1 |
0%
|
|
| SHELET | 1 |
0%
|
|
| SHERPUR | 15 |
0.7%
|
|
| SHIRAJGONJ | 3 |
0.1%
|
|
| SHONAM GONG | 4 |
0.2%
|
|
| SHOREOT PUR | 1 |
0%
|
|
| SHOREOTPUR | 1 |
0%
|
|
| SHORET PUR | 1 |
0%
|
|
| SHORIET PUR | 1 |
0%
|
|
| SHORIOTPUR | 3 |
0.1%
|
|
| SHORITPUR | 3 |
0.1%
|
|
| SHORIWOTPUR | 1 |
0%
|
|
| SHORIYOT PUR | 1 |
0%
|
|
| SHYLET | 1 |
0%
|
|
| SILET | 2 |
0.1%
|
|
| SIRAJ GONG | 1 |
0%
|
|
| SIRAJGONG | 3 |
0.1%
|
|
| SIRAJGONJ | 2 |
0.1%
|
|
| SIRAZGONG | 1 |
0%
|
|
| SIRIYATPUR | 1 |
0%
|
|
| SOBUJBAGH | 1 |
0%
|
|
| SOEDPOR | 1 |
0%
|
|
| SOIDPUR | 1 |
0%
|
|
| SONAMGONG | 2 |
0.1%
|
|
| SONAMGONJ | 1 |
0%
|
|
| SORAITPUR | 1 |
0%
|
|
| SOREATPUR | 1 |
0%
|
|
| SOREOTPUR | 2 |
0.1%
|
|
| SOREYOT PUR | 1 |
0%
|
|
| SORIAT PUR | 1 |
0%
|
|
| SORIATPUR | 3 |
0.1%
|
|
| SORIHOTPUR | 1 |
0%
|
|
| SORIOTPUR | 12 |
0.6%
|
|
| SORIUTPUR | 2 |
0.1%
|
|
| SORIWOTPUR | 1 |
0%
|
|
| SORIYATPUR | 2 |
0.1%
|
|
| SORIYOT PUR | 1 |
0%
|
|
| SORIYOTPUR | 9 |
0.4%
|
|
| SORIYOTPUT | 1 |
0%
|
|
| SORUPKHATHI | 1 |
0%
|
|
| SORYOTPUR | 1 |
0%
|
|
| SRRPUR | 1 |
0%
|
|
| SUNAM GOANG | 1 |
0%
|
|
| SUNAM GONJ | 2 |
0.1%
|
|
| SUNAMEJONG | 1 |
0%
|
|
| SUNAMGONG | 2 |
0.1%
|
|
| SUNAMGONJ | 10 |
0.5%
|
|
| SUSAMGONJ | 1 |
0%
|
|
| SYLET | 2 |
0.1%
|
|
| TAKURGAON | 1 |
0%
|
|
| TAKURGAW | 1 |
0%
|
|
| TANGAIL | 5 |
0.2%
|
|
| TANGIAL | 1 |
0%
|
|
| TATULIYA | 1 |
0%
|
|
| THAKURGAW | 1 |
0%
|
|
| TITASH | 1 |
0%
|
|
| VHOLA | 9 |
0.4%
|
|
| VHULA | 1 |
0%
|
|
| VJOLA | 1 |
0%
|
|
| VOLA | 31 |
1.5%
|
|
| VOOLA | 2 |
0.1%
|
|
| VULA | 2 |
0.1%
|
|
| ZALOKATHI | 1 |
0%
|
|
| ZAMALPUR | 2 |
0.1%
|
|
| ZASOR | 1 |
0%
|
|
| ZHALOKATHI | 1 |
0%
|
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.