NGOs in Bangladesh: Activities, Resources, and Governance 2003
Bangladesh, 2003
Get Microdata
Reference ID
BGD_2003_NGO_v01_M
Producer(s)
Varun Gauri and Julia Galef
Collection(s)
Metadata
Created on
Jul 02, 2012
Last modified
Sep 26, 2013
Page views
170453
Downloads
9175
- Data files
- BGD_2003_NGO_v01_M
How would you describe NGO’s target group? (1/4) (q71_3)
Data file: BGD_2003_NGO_v01_M
Overview
Valid:
310
Invalid:
0
Type:
Discrete
Start:
1544
End:
1588
Width:
45
Range:
-
Format:
character
Questions and instructions
Literal question
[If Yes] How would you describe [NGO]’s target group?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 181 |
58.4%
|
|
| 100 Labour sells | 1 |
0.3%
|
|
| 18 to 50 Years poor people | 1 |
0.3%
|
|
| Above 18 Years age | 2 |
0.6%
|
|
| Age 18 - 50 | 1 |
0.3%
|
|
| Age 18-45 | 2 |
0.6%
|
|
| Age 18-50 | 1 |
0.3%
|
|
| Age Agriculture-50 | 1 |
0.3%
|
|
| Capable People | 1 |
0.3%
|
|
| Daily Labour | 1 |
0.3%
|
|
| Day Labour | 2 |
0.6%
|
|
| Day Labourer | 3 |
1%
|
|
| Day Lobour | 1 |
0.3%
|
|
| Day labour working others land about 100 days | 1 |
0.3%
|
|
| Distress | 2 |
0.6%
|
|
| Distressed women | 1 |
0.3%
|
|
| Divorced | 7 |
2.3%
|
|
| Divorced women | 1 |
0.3%
|
|
| Faemer | 1 |
0.3%
|
|
| Farmer | 1 |
0.3%
|
|
| Help less | 1 |
0.3%
|
|
| Helpsless | 1 |
0.3%
|
|
| Illiterate | 2 |
0.6%
|
|
| Kishore Crime | 1 |
0.3%
|
|
| Labour | 1 |
0.3%
|
|
| Labourer | 2 |
0.6%
|
|
| Land Less | 2 |
0.6%
|
|
| Land Less Farmer | 2 |
0.6%
|
|
| Land less | 1 |
0.3%
|
|
| Land less Farmer | 1 |
0.3%
|
|
| Landless | 8 |
2.6%
|
|
| Landless Farmer | 1 |
0.3%
|
|
| Less Poor | 1 |
0.3%
|
|
| Marginal | 2 |
0.6%
|
|
| Marginal Farmer | 3 |
1%
|
|
| Marginal farmer | 1 |
0.3%
|
|
| Micro Enterprise Landing | 1 |
0.3%
|
|
| Miginal farmer | 1 |
0.3%
|
|
| Occupation- agriculture | 1 |
0.3%
|
|
| Old Women | 1 |
0.3%
|
|
| Orphan | 3 |
1%
|
|
| Parmanent Resident | 1 |
0.3%
|
|
| Permanent Inhabitant | 1 |
0.3%
|
|
| Poor | 5 |
1.6%
|
|
| Poor & Marginal Farmer | 1 |
0.3%
|
|
| Poor Child | 1 |
0.3%
|
|
| Poor Children | 1 |
0.3%
|
|
| Poor Farmer | 1 |
0.3%
|
|
| Poor Man | 1 |
0.3%
|
|
| Poor Tribal | 1 |
0.3%
|
|
| Poor Women | 1 |
0.3%
|
|
| Poor woman | 1 |
0.3%
|
|
| Poorest People | 1 |
0.3%
|
|
| Pragnant women | 1 |
0.3%
|
|
| Rickshaw Puller | 1 |
0.3%
|
|
| Rickshaw/Van Driver | 1 |
0.3%
|
|
| Sex Worker | 1 |
0.3%
|
|
| Small Business | 1 |
0.3%
|
|
| Small Business Man | 2 |
0.6%
|
|
| Small Business men | 1 |
0.3%
|
|
| Small Businessman | 2 |
0.6%
|
|
| Small Bussiness | 1 |
0.3%
|
|
| Small Traders | 1 |
0.3%
|
|
| Teen age | 1 |
0.3%
|
|
| Unemployed youth | 1 |
0.3%
|
|
| Upper Middle class | 1 |
0.3%
|
|
| Varnaralde Women | 1 |
0.3%
|
|
| Very poor women | 2 |
0.6%
|
|
| Wedow | 1 |
0.3%
|
|
| Widow | 5 |
1.6%
|
|
| Widowed | 5 |
1.6%
|
|
| Widowed Women | 1 |
0.3%
|
|
| Widower | 9 |
2.9%
|
|
| Women headed house hold | 1 |
0.3%
|
|
| Working Child | 1 |
0.3%
|
|
| age 18-50 | 1 |
0.3%
|
|
| paltry | 1 |
0.3%
|
|
| poor | 1 |
0.3%
|
|
| unemployment Youth | 1 |
0.3%
|
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.