Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

8 stories matched (16-21 or 22-30) and Food and shelter and Female and business and loan and woman

Your search did not match enough stories to do a complete analysis. Only basic information is showing.

How good is this collection? (52/100)
When making inferences, it is important to have many perspectives. Running our story quality test will measure this using the diversity of story collectors, named organizations, locations, and the balance in story point of view and tone to estimate the collection's suitability for meta-analysis.
Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.

Diverse sources: 5/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 92/100 (100% when every storytellers answer every question)
Diverse points of view: 25/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 88/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2: Once in a village known as soweto lived a mother who had two children and the husband who was the father of her children had run a way from her to another lady who was staying just around. the woman who was the mother of two had difficult time by taking care of her children since she was jobless. The woman did not struggle to fight for her husband but instead decided to look for something to do for sustainability. The woman engaged in a small business and by good luck, she managed to apply some loan in a sacco and she boosted her mutumba business. The woman is now able to take care of her two children and her business is nw doing very well.
Q3: The jobless Woman
Q4:Individual
Q6:Kenya
Q7:Nairobi
Q8:Soweto
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:HORIZON Question 7,1013 not answered <<2012-12-18-SOWETO-S#39-P#01>> _
Q18:Disappointed
Q19:Food and shelter,Security,Knowledge
Q23:50
Q37:Bad idea that worked despite itself
Q38:Specific problem
Q39:Economic opportunity
Q40:Temporary change
Q122:16-21
Q132:None
Q133:None
Q134:Individual

q2:My name is Stella. Iam 18yrs old. My parents are very poor we are staying with them with a family of about 6 children. I Dropped from school Due to hardships we are were getting from the slums. my mother is a small business woman and my father is a Drunkard. So we just depend on our mother. one Day I Decided to look for a job and managed to get a job as a maid. I was not secure but after a year. I Decided to Join a youth group. this group was well known we were Helped to get a loan, Receive training on How you can start a business.I left Being a maid and started Business. I have also Helped my mother expand his
Q3:INCOME GENERATING ACTIVITY
Q4:WEWASAFO
Q9:7-12 months ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[horizon quest 15 was not answered]<<2012-06-18-Kakamega-S#002-P#088>>_none
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Physical Needs
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:It requires a continuous effort
Q122:22-30
Q132:None
Q133:None
Q134:Wewasafo

q2:I am Brenda. I am 20 years of age. I dropped out of school 5 yars ago due to lack of fees. I decided to move in town and dropped in hands of a certain woman whom I worked for as a maid. Working as a maid I did for 3 years and decided to start a business of selling vegetables. I joined Baraka women group. Through this group I was able to secure training, a loan and decided to expand my business. I am now doing well, selling cereals and getting good income per month. I am self employed. I am also able to surport my parents back at home. I am also surporting my sisters and brotehrs go to school. I assist them because I wouldnt want them to miss education the way I did.
Q3:Income generating activity
Q4:WEWASAFO
Q9:7-12 months ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Q15NOT ANSWERED<<2012-06-18-Kakamega-S#001-P#01>>_n/a
Q18:Inspired
Q19:Food and shelter,Security,Knowledge
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Mixed
Q40:It requires a continuous effort
Q122:22-30
Q132:None
Q133:None
Q134:Wewasafo

q2:One woman was living in house that was made of mud and roof made of grass. She joined a women group and got loan. She started a small business. She collected money that she bouth iron sheets and build a nice house which she was dreaming of . And now she feels much comfortable staying in a house built with iron sheets on the roof.
Q3:House made of grass to roof
Q4:Individual
Q6:KENYA
Q7:TRANS-NZOIA EAST
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Q19PHONE NUMBER MISSING<<08-03-2012-MACHAKOS-S#001-P#295>>_
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Self-esteem
Q23:89
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Lasting change
Q122:22-30
Q132:-0.07861100000000
Q133:34.77684100000000
Q134:Individual

q2:BLACC is one of the non-governmental organisation which are famous for theur helping hand to the individuals and the community at large the organisation is determined to change people live's by majoring in woman affairs.The organisation teaches the women and advices them hoe to do their own business and earn a living On addition to the technical advice the organisation also gives people starting capital in order to sustain them in business this capital is given to them in form of loan which is returned with a limited profit
Q3:TEACHING PEOPLE HOW TO HANDLE BUSINESS
Q4:BLACC
Q5:limited, earn, woman, teaching, individuals
Q6:Uganda
Q7:MUBENDE
Q8:kisekende
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<26-10-11-UGANDA-S#388-P#01>> _
Q18:Inspired
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Mixed
Q122:22-30
Q132:0.75000000000000
Q133:31.16667000000000
Q134:Blacc

q2:Mary came from USA five months ago. Mary comes from Vihiga district, kisangila village Mary has changed village women in her community.She came with idea that to train women in weaving traditional baskets and mats.They have open a woman group.They are exporting the baskets and mats to the project. women have been given loans fees to change and business to pay school fees to change and eradicate poverty in the community
Q3:EMPOWER WOMEN
Q4:Kwosi women group
Q6:Nairobi
Q7:Vihiga
Q8:Kisangula
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-08-13-DAGORETI-S#092 -p#01>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Respect
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:22-30
Q132:None
Q133:None
Q134:OSI's

q2:Mr. Kalonge a prominent business man in Lukaya town council assisted Twekambe woman's women group with cash. This came after encouraging the organization's role towards availing loans/credits to farmers enabling then buy agriculture inputs promoting agriculture hence fourth educating their status having been blocked with finance, this was seen as a solution.
Q3:Financial boosting
Q4:Individual
Q5:enabling, inputs, buy, business, agriculture
Q6:Uganda
Q7:Kalungo
Q8:Lukaya
Q9:7-12 months ago
Q10:Female
Q12:Heard about it happening
Q13:The right people
Q15:Yes
Q17:<<05-12-2011-CEPO-S#031-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Security,Knowledge
Q23:7
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-0.60800000000000
Q133:30.65000000000000
Q134:Individual

q2:My name is Agnes atieno living in Kurabangi North Estate. I am business-woman the problem we have is getting loan to run our business/start a business. With that we formed group known as Wamama pamoja. The group has 40 member and opeing with tyme the group/project will grow we do contribul 50 shilling per day in one week is 10,000 and then we give to people to put on there business stocks and with that the business are growing for now the woman in Wamama pamoja group are more than happer.
Q3:Women group
Q4:Individual
Q6:Kenya
Q7:Nairobi
Q8:Kariobangi North
Q9:7-12 months ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:No
Q17:<<2011-08-11-MATHARE-S#058-P#01>>_
Q18:Inspired
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Social relations
Q40:Mixed
Q122:22-30
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Individual

Found 8 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Food and shelter%' and q122 in ('16-21','22-30') and (( q2 like '%business%' and q2 like '%loan%' and q2 like '%woman%' ) or ( q3 like '%business%' and q3 like '%loan%' and q3 like '%woman%' ) or ( q4 like '%business%' and q4 like '%loan%' and q4 like '%woman%' ) or ( q5 like '%business%' and q5 like '%loan%' and q5 like '%woman%' ) or ( q6 like '%business%' and q6 like '%loan%' and q6 like '%woman%' ) or ( q7 like '%business%' and q7 like '%loan%' and q7 like '%woman%' ) or ( q8 like '%business%' and q8 like '%loan%' and q8 like '%woman%' ) or ( q11 like '%business%' and q11 like '%loan%' and q11 like '%woman%' ) or ( q17 like '%business%' and q17 like '%loan%' and q17 like '%woman%' ) or ( q26 like '%business%' and q26 like '%loan%' and q26 like '%woman%' ) or ( q27 like '%business%' and q27 like '%loan%' and q27 like '%woman%' ) or ( q28 like '%business%' and q28 like '%loan%' and q28 like '%woman%' ) or ( q29 like '%business%' and q29 like '%loan%' and q29 like '%woman%' ) or ( q35 like '%business%' and q35 like '%loan%' and q35 like '%woman%' ) or ( q41 like '%business%' and q41 like '%loan%' and q41 like '%woman%' ) or ( q42 like '%business%' and q42 like '%loan%' and q42 like '%woman%' ) or ( q43 like '%business%' and q43 like '%loan%' and q43 like '%woman%' ) or ( q46 like '%business%' and q46 like '%loan%' and q46 like '%woman%' ) or ( q47 like '%business%' and q47 like '%loan%' and q47 like '%woman%' ) or ( q60 like '%business%' and q60 like '%loan%' and q60 like '%woman%' ) or ( q65 like '%business%' and q65 like '%loan%' and q65 like '%woman%' ) or ( q70 like '%business%' and q70 like '%loan%' and q70 like '%woman%' ) or ( q71 like '%business%' and q71 like '%loan%' and q71 like '%woman%' ) or ( q72 like '%business%' and q72 like '%loan%' and q72 like '%woman%' ) or ( q73 like '%business%' and q73 like '%loan%' and q73 like '%woman%' ) or ( q74 like '%business%' and q74 like '%loan%' and q74 like '%woman%' ) or ( q75 like '%business%' and q75 like '%loan%' and q75 like '%woman%' ) or ( q76 like '%business%' and q76 like '%loan%' and q76 like '%woman%' ) or ( q77 like '%business%' and q77 like '%loan%' and q77 like '%woman%' ) or ( q80 like '%business%' and q80 like '%loan%' and q80 like '%woman%' ) or ( q81 like '%business%' and q81 like '%loan%' and q81 like '%woman%' ) or ( q86 like '%business%' and q86 like '%loan%' and q86 like '%woman%' ) or ( q87 like '%business%' and q87 like '%loan%' and q87 like '%woman%' ) or ( q88 like '%business%' and q88 like '%loan%' and q88 like '%woman%' ) or ( q89 like '%business%' and q89 like '%loan%' and q89 like '%woman%' ) or ( q98 like '%business%' and q98 like '%loan%' and q98 like '%woman%' ) or ( q99 like '%business%' and q99 like '%loan%' and q99 like '%woman%' ) or ( q110 like '%business%' and q110 like '%loan%' and q110 like '%woman%' ) or ( q111 like '%business%' and q111 like '%loan%' and q111 like '%woman%' ) or ( q116 like '%business%' and q116 like '%loan%' and q116 like '%woman%' ) or ( q117 like '%business%' and q117 like '%loan%' and q117 like '%woman%' ) or ( q123 like '%business%' and q123 like '%loan%' and q123 like '%woman%' ) or ( q125 like '%business%' and q125 like '%loan%' and q125 like '%woman%' ) or ( q132 like '%business%' and q132 like '%loan%' and q132 like '%woman%' ) or ( q133 like '%business%' and q133 like '%loan%' and q133 like '%woman%' ) or ( q134 like '%business%' and q134 like '%loan%' and q134 like '%woman%' ) or ( q135 like '%business%' and q135 like '%loan%' and q135 like '%woman%' ) or ( q136 like '%business%' and q136 like '%loan%' and q136 like '%woman%' ) or ( q138 like '%business%' and q138 like '%loan%' and q138 like '%woman%' ) or ( q141 like '%business%' and q141 like '%loan%' and q141 like '%woman%' ) or ( q142 like '%business%' and q142 like '%loan%' and q142 like '%woman%' ) or ( q151 like '%business%' and q151 like '%loan%' and q151 like '%woman%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[92IFITcg1CYF]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)