4 stories matched Fun and business and loan and woman
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q2:I was a busines woman who lives in pader district i used to trade in food items but those money could not sustain my family cause i used to bave a large family and my husband passed away.
One day out local leaders in the village gathered widows and told us to form groups in our village,i had there was an NGO called NAADS who were giving loans i was so happy i knew there would be a good oppurtuniity to me they gave us money and they told us to start a new business of rearing goats in a group of 10 people by God's grace we manage our business so well that our goats multiplied that gave much profit out of of the project that help me start a side business beside that project were farming ground nuts, that made me sucessful. Because of NAAD am so grateful because that changed me and the people around me. Q3:AIM Higher Always Q4:NAADS Q6:Uganda Q7:Pader Q8:Patruso Q9:Less than 2 months ago Q10:Male Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:
<<2012-12-21-UGANDA-S#568P#01>>_ Q18:Hopeful Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that worked somewhat Q38:Broad need Q39:Economic opportunity Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:Naads
q2:Miriam is a single mother and leaves at Mukuru kwa Njenga slums, she goes door to door in estates to buy old newspapers and sell them to a grocery shop keepers, she discovered that the shop keepers makes toilet paper with the old newspapers.She asked for a job in the grocery shop and was given her aim was to turn the old papers to toilet papers she was taken to the old industry where she learned the technics. She later joined the women group and through it she applied for a loan at the Kenya Women's Trust Fund she was able to start her own industry- making toilet papers. Now she has grown into a big business woman and has employed people. She has really contributed to the economy of the company Q3:Building the Economy Q4:Kenya Women Trust Fund Q6:Kenya Q7:Nairobi Q8:Mukuru Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:_ Q18:Inspired Q19:Family and Friends,Respect,Fun Q37:Good idea that succeeded Q38:Broad need Q39:Economic opportunity Q40:Mixed Q122:46-60 Q132:None Q133:None Q134:UNITED NATIONS
q2:Kononia is a community under shalom centre. It is ;
helping women with loans to start small businesses they
are giving a loan a about ten thousand upto twenty
thousand. After every month the interest is ten percent.
many woman are beneffitting with loan in uplifting their
business and they are happy with Kononia group. Q3:BUSINESS LOANS Q4:KONONIA COMMUNITY Q6:KENYA Q7:NAIROBI Q8:KONGO Q9:2-6 months ago Q10:Female Q12:Heard about it happening Q13:The right people Q15:Yes Q17:<<2012-08-13-DAGORETI-S#392-p#01>>_ Q18:Happy Q19:Physical Needs,Self-esteem,Fun Q23:50 Q37:Good idea that should have worked but did not Q38:Mixed Q39:Economic opportunity Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:communities
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
 
Found 4 records. mysql icon_filters: group_id between 0 and 5000 and q19 like '%Fun%' 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 ['q19'] merge:ignore A[sEdMT5pNMRUX]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)