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

256892

Downloads

6734

Name of union (union)

Data file: monga_wb_cen_id_001

Overview

Valid: 32897

Invalid: 0

Type: Discrete

Decimal: 0

Start: 20

End: 22

Width: 3

Range: 1 - 125

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Aria	270	0.8%
2	Lahiri Para	274	0.8%
3	Nishindara	264	0.8%
4	Rajapur	273	0.8%
5	Shabgram	300	0.9%
6	Chaukibari	298	0.9%
7	Dhunat	305	0.9%
8	Gosainbari	323	1%
9	Mathurapur	121	0.4%
10	Dakshinpara Union	273	0.8%
11	Kagail	319	1%
12	Naruamala	286	0.9%
13	Rameshwarpur	281	0.9%
14	Chaluabari	315	1%
15	Chandan Baisha	273	0.8%
16	Hat Sherpur	283	0.9%
17	Kazla	176	0.5%
18	Karnibari	270	0.8%
19	Kutubpur	270	0.8%
20	Garidaha	208	0.6%
21	Khanpur	244	0.7%
22	Deuli	249	0.8%
23	Maidanhata	324	1%
24	Mokamtala	324	1%
25	Roynagar	140	0.4%
26	Shibganj	219	0.7%
27	Balua	347	1.1%
28	Jorgachha	159	0.5%
29	Madhupur	271	0.8%
30	Tekani Chukainagar	341	1%
31	Fazlupur	239	0.7%
32	Gazaria	128	0.4%
33	Udakhali	217	0.7%
34	Boali	263	0.8%
35	Kamarjani	241	0.7%
36	Kuptala	235	0.7%
37	Ramchandrapur	196	0.6%
38	Harirampur	277	0.8%
39	Mahimaganj	268	0.8%
40	Shalmara	291	0.9%
41	Barisal	169	0.5%
42	Mohadipur	291	0.9%
43	Palashbari	267	0.8%
44	Faridpur	308	0.9%
45	Kamar Para	265	0.8%
46	Bhartkhali	187	0.6%
47	Bonar Para	275	0.8%
48	Jummerbari	312	0.9%
49	Padumsahar	331	1%
50	Shaghata	226	0.7%
51	Chandipur	250	0.8%
52	Dahabanda	203	0.6%
53	Shantiram	284	0.9%
54	Sreepur	271	0.8%
55	Andhari Jhar	269	0.8%
56	Boldia	258	0.8%
57	Shilkhuri	275	0.8%
58	Char Rajibpur	245	0.7%
59	Kodailkati	187	0.6%
60	Ashtamir Char	281	0.9%
61	Raniganj	310	0.9%
62	Bara Bhita	300	0.9%
63	Kashipur	300	0.9%
64	Ghogadaha	161	0.5%
65	Jatrapur	159	0.5%
66	Bhitarband	266	0.8%
67	Narayanpur	249	0.8%
68	Royganj	261	0.8%
69	Ramkhana	262	0.8%
70	Chhinai	238	0.7%
71	Omar Majid	154	0.5%
72	Bandaber	250	0.8%
73	Dantbhanga	208	0.6%
74	Jadur Char	239	0.7%
75	Raumari	252	0.8%
76	Saulmari	236	0.7%
77	Durgapur	300	0.9%
78	Pandul	300	0.9%
79	Saheber Alga	210	0.6%
80	Thetroy	299	0.9%
81	Bhelabari	341	1%
82	Palashi	319	1%
83	Barakhata	275	0.8%
84	Shingimari	248	0.8%
85	Chandrapur	256	0.8%
86	Madati	279	0.8%
87	Harati	347	1.1%
88	Mahendranagar	300	0.9%
89	Jagatber	262	0.8%
90	Sreerampur	235	0.7%
91	Dimla	251	0.8%
92	Jhunagachh Chapani	253	0.8%
93	Bhogdabari	280	0.9%
94	Harinchara	280	0.9%
95	Balagram	366	1.1%
96	Kaimari	299	0.9%
97	Shimulbari	361	1.1%
98	Saulmari	334	1%
99	Garagram	229	0.7%
100	Nitai	272	0.8%
101	Chapra Saramjani	243	0.7%
102	Itakhola	269	0.8%
103	Palashbari	296	0.9%
104	Tupamari	294	0.9%
105	Khata Madhupur	298	0.9%
106	Kutubpur	268	0.8%
107	Radhanagar	271	0.8%
108	Betgari	285	0.9%
109	Marania	257	0.8%
110	Kursha	283	0.9%
111	Tepa Madhupur	263	0.8%
112	Darshana	266	0.8%
113	Pashuram	335	1%
114	Tamphat	143	0.4%
115	Uttam	251	0.8%
116	Bhangni	295	0.9%
117	Emadpur	300	0.9%
118	Milanpur	293	0.9%
119	Rani Pukur	299	0.9%
120	Kaikuri	250	0.8%
121	Parul	162	0.5%
122	Tambulpur	298	0.9%
123	Mithapur	256	0.8%
124	Shanerhat	263	0.8%
125	Hariarkuti	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.

Back to Catalog