6 stories matched (16-21 or 22-30) and Knowledge and Female and business and loan and woman
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2 distinct clusters within this collection: 1 - Storyteller: #75823 - 3 stories 2 - Org: individual - 2 stories
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 Jane from kakamega. I'am a business woman, I started selling vegetables but now I'am a whole seller. I supply a lorry of cabbages every week . I'am happy to be at this level beacuse WEWASAFO an N.G.O surpoted us as a group. They gave us a loan of 50 thousand. A group of 10 women to expand our excisting Business . I am able to feed for my 2 children learning in a secondary school . I am able to feed them well My health and the health of my children is good. I am a single mother . I am working forward to by my own land and building it. wright now i stay in a 2 Roomed House (A Rental) house. I am going to work hard so as to improve in live more and more. Thanks very much WEWASAFO. 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 question 13 not answered]<<2012-05-05-KAKAMEGA-S#223-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q37:Good idea that succeeded Q38:Broad need Q39:Mixed Q40:Mixed 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: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 NO 15 WAS NOT ANSWERED]<<2012-06-18-Kakamega-S#088P#02>>_NONE Q18:Hopeful Q19:Family and Friends,Knowledge,Self-esteem 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: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
 
Found 6 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Knowledge%' 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[dSzePJW1rw0K]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)