6 stories matched Respect and business and woman and job
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2 distinct clusters within this collection: 1 - Org: individual - 4 stories 2 - City: kampala - 2 stories
q2:I am Tumwine Willy, 28 years old. I passed through a hard situation after looking for a job for a long tine and i could not find onne, i finished University 6 years ago and in these six years i have been looking for a job.
So, a certain woman from America heard my story and was touched she gave me capital to start my business she was faithful and gave me money, and by now i started an internet cafe and i am now earning money. Q3:Economic Oppurtunity Q4:Individual Q6:UGANDA Q7:Kampala Q8:Kawuku Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-12-21-UGANDA-S#2506-P#01>>_ Q18:Happy Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:Lasting change Q122:22-30 Q132:None Q133:None Q134:Individual
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:I was a hocker in my town and i used to get money from that business and i was happy about my job but there came a woman who counciled me and i spoted hocking on the streets. She also started feeding me with everything that i wanted. Q3:Hockers on streets Q4:Individual Q6:Uganda Q7:Kampala Q8:Namanre Q9:Less than 2 months ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<2012-10-16 Uganda S#618-P#01>>_ Q18:Hopeful Q19:Food and shelter,Physical Needs,Respect Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Physical well-being Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
q2:A friend of mine had no job in Kenya yet she was married and with two kids a boy and a girl. The husband was not providing for the family and so it was the duty of the woman to feed for her children and even ensure that the children got education. After election, now that she was a Kikuyu living in Kakamega, her house was broken into and everything rooted. They went to Kabete Nairobi where her husband came from but then hat to come back and stay with her mother in Kakamega since she had no job. The husband also came back and put up in a relatives hotel and did not look for a job. The lady wanted good life for her kids so she went to Saudi Arabia to work as a househelp and educate her children support her mother as well as her husband. While at Saudi Arabia she used to send her mother her salary to support her children and husband. The husband when he got the money did not invest on any business but instead used it on prostitutes and even forgot that he had a family. The lady was then raped at Saudi Arabia and pushed away from her job.
Coming back to Kenya, she was rejected by her own family members including her mother. She had no money since she was sending her salary to support her mother, children and husband who remarried. Q3:Woman head family Q4:individual Q6:KENYA Q7:Kakamega Q8:Otiende Estate Q9:More than 2 years ago Q10:Decline to identify Q12:Was affected by what happened Q13:The wrong people Q15:Yes Q17:<<2012-06-18-Kakamega-S#180-P#01>>[Horizon]Question 8 was not answered_ Q18:Unknown Q19:Food and shelter,Physical Needs,Respect Q23:58 Q37:Good idea that should have worked but did not Q38:Specific problem Q39:Economic opportunity Q40:Lasting change Q122:22-30 Q132:None Q133:None Q134:Individual
q2:A woman had no job and she was staying is slums houses. One time she decided to start make ice cream and taking them round to the schools. She was making them thrice per day.
These small business enable her to move from a slum to a good rental house. She is stable and continue with the business Q3:Small business Q4:Individual Q6:Kenya Q7:Trans-zoia east Q8:Musemwa Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<29-2-2012-KAYOLE/SOWETO/KIOI-S#305-P#01>>_ Q18:Hopeful Q19:Physical Needs,Knowledge,Respect Q23:89 Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:It requires a continuous effort Q122:22-30 Q132:-1.48333000000000 Q133:37.28333000000000 Q134:Individual
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
 
Found 6 records. mysql icon_filters: group_id between 0 and 5000 and q19 like '%Respect%' 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 ['q19'] merge:ignore A[vB77SbLVs63H]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)