4 stories matched Knowledge and Female and (31-45 or 46-60 or Over 60) 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? (54/100) 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: 3/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 90/100 (100% when every storytellers answer every question)
Diverse points of view: 30/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 91/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.
1 distinct clusters within this collection: 1 - (Uncategorized) - 4 stories
q2:Kenya Women is an organisation that is empowering woman in the Community.Women register themselves in groups where by the organisation itself give women Small. loans to boost their business in the community. It play big roles to the community. It has really changed many women.West Wonder was amongst the project which benefited rom it. Change our community and empower the needy.'Bravo' Kenya women Fund. Q3:Give Hope to Women Q4:Kenya women Fund Q6:Kenya Q7:Nairobi Q8:Ngando Q9:2-6 months ago Q10:Female Q12:Helped make it happen Q13:The right people Q15:Yes Q17:[HORIZON] <<2012-08-13-DAGORETI-S295-p#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Freedom Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:UNITED NATIONS
q2:My name is Grace. I have been staying with my grandmother But my grandmother died a year ago. I dropped out of school and started staying with my neighbours. Somebody come and reguested me to stay with him and Help him look after his children. I thought that was a good idea at happened that when i was given my first salary i used to serve some for my self young ladies surgested that we start a group and start merry go round. I joined the group we happened to be registered and started training on how to start some Businesses. After that we were given a loan and that's how I ended up Being a Businesses woman from being a maid. 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#087-P#02>>_ Q18:Hopeful Q19:Family and Friends,Knowledge,Self-esteem Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:It requires a continuous effort Q122:31-45 Q132:None Q133:None Q134:Wewasafo
q2:I belong to Wapendanao women group.we engage ourselves in income generating activities .We do it in groups so that we may be able to educate our children and also improve our living standards as a woman.Our challenge has always been finances to help us improve our business.We approached ABCD programe which is a community based orgainsation dealing with micro finances .They were able to give us loans with very low interest rates .We are now able to do our business without major financial challenges. Q3:TAKING OUR BUSINESS TO A ANOTHER LEVEL Q4:ABCD programme Q6:KENYA Q7:KAKAMEGA Q8:MUNICPALITY Q9:7-12 months ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<2012-05-05-KAKAMEGA-S#040-P#01>>_ Q18:Inspired Q19:Food and shelter,Family and Friends,Knowledge Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:None
q2:Traditionally women were given the responsibility of house chores and it is not exceptional in the moder world because many women have either lost their jobs because of pressure from their spouses or they are completely housewives. Housewives are undermined by their spouse because they do not have source of income and they are see as a burden and Men nowadays prefer working women to the non employed because they fear responsibility and so the woman can provide for the family. This is where KWFT comes in it has encouraged women to start IGA's amd they give them capital after which they pay back within a given time bound. They also offer loans for different purposes like business expansion which you pay with a lower rate of interest. Mrs. Manono has benefited from this organization and she is economically empowered. Q3:WOMEN EMPOWERMENT Q4:(KENYA WOMEN FINANCE TRUST) KWFT Q6:KENYA Q7:KISUMU Q8:SIAYA Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:No Q17:<<2011-03-04-SowetoMeryygoroundyouthgroup-s#018-p#01>>_ Q18:Inspired Q19:Security,Knowledge,Self-esteem Q23:-1 Q37:Good idea that succeeded Q38:Specific problem Q39:Mixed Q40:Lasting change Q122:31-45 Q132:-1.31195500000000 Q133:36.79538000000000 Q134:Kwft
 
Found 4 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Knowledge%' and q122 in ('31-45','46-60','Over 60') 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[48jAY1mEO8ow]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)