Addressing Extreme Poverty in Bangladesh - The Case of Monga 2008-2009, Round 1

Bangladesh, 2008

Reference ID

BGD_2008_MONGA-R1_v01_M

Producer(s)

The World Bank

Metadata

DDI/XML JSON

Created on

Sep 29, 2011

Last modified

Mar 29, 2019

Page views

256467

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Name of Mouza (mouza)

Data file: monga_wb_cen_id_001

Overview

Valid: 32897

Invalid: 0

Type: Discrete

Decimal: 0

Start: 17

End: 19

Width: 3

Range: 1 - 125

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Aria	270	0.8%
2	Madhu Majhira	274	0.8%
3	Barbakpur	264	0.8%
4	Kuturbari	273	0.8%
5	Narali	300	0.9%
6	Rudrabaria	298	0.9%
7	Dhunat	305	0.9%
8	Gosainbari	323	1%
9	Ujalsingh	121	0.4%
10	Ujgram	273	0.8%
11	Amli Chukai	319	1%
12	Mendipur	286	0.9%
13	Hossainpur	281	0.9%
14	Char Dalika	315	1%
15	Chandan Baisha	273	0.8%
16	Khord Balali	283	0.9%
17	Pakuria	176	0.5%
18	Karnibari	270	0.8%
19	Debdanga	270	0.8%
20	Gilabari	208	0.6%
21	Gopalpur	244	0.7%
22	Lakshmikola	249	0.8%
23	Baksan	324	1%
24	Harirampur	324	1%
25	Roynagar	140	0.4%
26	Dhawagir	219	0.7%
27	Barabalua	347	1.1%
28	Purba Karamja	159	0.5%
29	Paschim Tekani	271	0.8%
30	Purba Tekani	341	1%
31	Kauabada	239	0.7%
32	Gazaria	128	0.4%
33	Burail	217	0.7%
34	Pearapur	263	0.8%
35	Karaibari	241	0.7%
36	Chapadaha	235	0.7%
37	Pollakhata	196	0.6%
38	Dhundia	277	0.8%
39	Jibanpur	268	0.8%
40	Shalmara	291	0.9%
41	Sarbanga Bhaduria	169	0.5%
42	Durgapur	291	0.9%
43	Suigram	267	0.8%
44	Faridpur	308	0.9%
45	Hatbamni	265	0.8%
46	Sakoa	187	0.6%
47	Shimultari (Uz.H.Q.)	275	0.8%
48	Amdir Para	312	0.9%
49	Chalk Datia	331	1%
50	Hasilkandi	226	0.7%
51	Chandipur	250	0.8%
52	Sundarganj	203	0.6%
53	Panchgachhi Shantiram	284	0.9%
54	Dakshin Sreepur	271	0.8%
55	Dhaurar Kuthi	269	0.8%
56	Dakshin Baldia	258	0.8%
57	Uttar Chhat Gopalpur	275	0.8%
58	Baliamari	245	0.7%
59	Sajai	187	0.6%
60	Datiar Char	281	0.9%
61	Dakshin Uari	310	0.9%
62	Baralai	300	0.9%
63	Kashipur	300	0.9%
64	Rasulpur	161	0.5%
65	Parbatipur	159	0.5%
66	Chandipur	266	0.8%
67	Uttar Dhakdahar	249	0.8%
68	Royganj	261	0.8%
69	Azmata	262	0.8%
70	Mirerbari	238	0.7%
71	Ghumaru Bhimsitla	154	0.5%
72	Char Saulmari	250	0.8%
73	Jhagrar Char	208	0.6%
74	Jadur Char	239	0.7%
75	Chuliar Char	252	0.8%
76	Bausmari	236	0.7%
77	Gopinathpur	300	0.9%
78	Apuarkhata	300	0.9%
79	Namajer Char	210	0.6%
80	Hokadanga	299	0.9%
81	Taluk Dulali	341	1%
82	Mahisheshwar	319	1%
83	Purba Fakir Para	275	0.8%
84	Dhubni	248	0.8%
85	Uttar Batris Hazari	256	0.8%
86	Taluk Sakhati	279	0.8%
87	Hira Manik	347	1.1%
88	Manoram	300	0.9%
89	Bhandardaha	262	0.8%
90	Burimari	235	0.7%
91	Sardarhat	251	0.8%
92	Dakshin Jhunagachh Chapan	253	0.8%
93	Chilahati	280	0.9%
94	Salmara	280	0.9%
95	Purba Balagram	366	1.1%
96	Kaimari	299	0.9%
97	Ghugumari	361	1.1%
98	Gopaljhar	334	1%
99	Khamar Garagram	229	0.7%
100	Musrut Panial Pukur	272	0.8%
101	Natib Chapra	243	0.7%
102	Kanialkhata	269	0.8%
103	Arazi Itakhola	296	0.9%
104	Daud	294	0.9%
105	Musarat Dhulia	298	0.9%
106	Dakshin Bauchandi	268	0.8%
107	Radhanagar	271	0.8%
108	Sherpur Kismat	285	0.9%
109	Char Marania	257	0.8%
110	Bishnupur	283	0.9%
111	Rajib	263	0.8%
112	Sekh Para	266	0.8%
113	Pashuram	335	1%
114	Arazi Mankhamar	143	0.4%
115	Ranachandi	251	0.8%
116	Betgara	295	0.9%
117	Mrizapur Digar	300	0.9%
118	Milanpur	293	0.9%
119	Tajnagar	299	0.9%
120	Nazar Mahammad	250	0.8%
121	Parul Taluk	162	0.5%
122	Tambulpur	298	0.9%
123	Hasanpur	256	0.8%
124	Dhollakandi	263	0.8%
125	Ujial	209	0.6%

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.

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