3 stories matched Female and (31-45 or 46-60 or Over 60) and business and woman and job
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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:One woman in Mbarara told young girls not to wait for their husband to give them what to do. She advised them to start making their selves creative as they learn how to create jobs which they can manage through that they will be with responsibility and nobody can blame them when they are working every one will respect them which encourages girls to start their small business to avoid being undermined by men. Q3:Teaching the way of creating jobs Q4:Individual Q6:Uganda Q7:Mbarara Q8:Ibanda Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-05-13-UGANDA-S#887-P#01>>_ Q18:Happy Q19:Knowledge,Respect,Self-esteem Q23:11 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:It requires a continuous effort Q122:31-45 Q132:-1.31201900000000 Q133:36.77454400000000 Q134:Individual
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 3 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%business%' and q2 like '%woman%' and q2 like '%job%' ) or ( q3 like '%business%' and q3 like '%woman%' and q3 like '%job%' ) or ( q4 like '%business%' and q4 like '%woman%' and q4 like '%job%' ) or ( q5 like '%business%' and q5 like '%woman%' and q5 like '%job%' ) or ( q6 like '%business%' and q6 like '%woman%' and q6 like '%job%' ) or ( q7 like '%business%' and q7 like '%woman%' and q7 like '%job%' ) or ( q8 like '%business%' and q8 like '%woman%' and q8 like '%job%' ) or ( q11 like '%business%' and q11 like '%woman%' and q11 like '%job%' ) or ( q17 like '%business%' and q17 like '%woman%' and q17 like '%job%' ) or ( q26 like '%business%' and q26 like '%woman%' and q26 like '%job%' ) or ( q27 like '%business%' and q27 like '%woman%' and q27 like '%job%' ) or ( q28 like '%business%' and q28 like '%woman%' and q28 like '%job%' ) or ( q29 like '%business%' and q29 like '%woman%' and q29 like '%job%' ) or ( q35 like '%business%' and q35 like '%woman%' and q35 like '%job%' ) or ( q41 like '%business%' and q41 like '%woman%' and q41 like '%job%' ) or ( q42 like '%business%' and q42 like '%woman%' and q42 like '%job%' ) or ( q43 like '%business%' and q43 like '%woman%' and q43 like '%job%' ) or ( q46 like '%business%' and q46 like '%woman%' and q46 like '%job%' ) or ( q47 like '%business%' and q47 like '%woman%' and q47 like '%job%' ) or ( q60 like '%business%' and q60 like '%woman%' and q60 like '%job%' ) or ( q65 like '%business%' and q65 like '%woman%' and q65 like '%job%' ) or ( q70 like '%business%' and q70 like '%woman%' and q70 like '%job%' ) or ( q71 like '%business%' and q71 like '%woman%' and q71 like '%job%' ) or ( q72 like '%business%' and q72 like '%woman%' and q72 like '%job%' ) or ( q73 like '%business%' and q73 like '%woman%' and q73 like '%job%' ) or ( q74 like '%business%' and q74 like '%woman%' and q74 like '%job%' ) or ( q75 like '%business%' and q75 like '%woman%' and q75 like '%job%' ) or ( q76 like '%business%' and q76 like '%woman%' and q76 like '%job%' ) or ( q77 like '%business%' and q77 like '%woman%' and q77 like '%job%' ) or ( q80 like '%business%' and q80 like '%woman%' and q80 like '%job%' ) or ( q81 like '%business%' and q81 like '%woman%' and q81 like '%job%' ) or ( q86 like '%business%' and q86 like '%woman%' and q86 like '%job%' ) or ( q87 like '%business%' and q87 like '%woman%' and q87 like '%job%' ) or ( q88 like '%business%' and q88 like '%woman%' and q88 like '%job%' ) or ( q89 like '%business%' and q89 like '%woman%' and q89 like '%job%' ) or ( q98 like '%business%' and q98 like '%woman%' and q98 like '%job%' ) or ( q99 like '%business%' and q99 like '%woman%' and q99 like '%job%' ) or ( q110 like '%business%' and q110 like '%woman%' and q110 like '%job%' ) or ( q111 like '%business%' and q111 like '%woman%' and q111 like '%job%' ) or ( q116 like '%business%' and q116 like '%woman%' and q116 like '%job%' ) or ( q117 like '%business%' and q117 like '%woman%' and q117 like '%job%' ) or ( q123 like '%business%' and q123 like '%woman%' and q123 like '%job%' ) or ( q125 like '%business%' and q125 like '%woman%' and q125 like '%job%' ) or ( q132 like '%business%' and q132 like '%woman%' and q132 like '%job%' ) or ( q133 like '%business%' and q133 like '%woman%' and q133 like '%job%' ) or ( q134 like '%business%' and q134 like '%woman%' and q134 like '%job%' ) or ( q135 like '%business%' and q135 like '%woman%' and q135 like '%job%' ) or ( q136 like '%business%' and q136 like '%woman%' and q136 like '%job%' ) or ( q138 like '%business%' and q138 like '%woman%' and q138 like '%job%' ) or ( q141 like '%business%' and q141 like '%woman%' and q141 like '%job%' ) or ( q142 like '%business%' and q142 like '%woman%' and q142 like '%job%' ) or ( q151 like '%business%' and q151 like '%woman%' and q151 like '%job%' )) LIMIT 4000; filter_questions ['q10', 'q122'] merge:ignore A[TcObAyU1Q7zp]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)