3 stories matched Self-esteem and (31-45 or 46-60 or Over 60) and Female and girl and police
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1 distinct clusters within this collection: 1 - (Uncategorized) - 3 stories
q2:I am a widowed womann aged 31 years old. I am a mother of four two girls and two boys. I lost my husband and children six years ago in a fierce fire suspected to have been lit by unkind relatives i lost all my property, documents that time.
I reported the case to the police station in kakamega town but not much help was given. My kind neighbour Mrs Bilha Logiri gave me shelter in her home. She offered me all the support i needed financially, heathwise and mentally she offered me a job as a cateress at her place of work. I am now developed a woman. I worked and saved enough money to rent my own house in kakamega Town and finish t. I thank God for Mrs lugiri's help. She is an angel sent by God to serve me and other members in my community. Q3:A LIFE SAVED Q4:MRS BILHA LUGIRI Q6:Kenya Q7:Nairobi Q8:Kakamega Q9:1-2 years ago Q10:Female Q12:Helped make it happen Q13:The right people Q15:Yes Q17:<<2012-05-05-KAKAMEGA-S#106-P#01>>_ Q18:Inspired Q19:Knowledge,Self-esteem,Fun Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:None
q2: There lived a girl named Wambua. She was orphan her parents died long time when she was delivered and her father died in a road accident. Wambua was staying with her Aunt who was living in Kibera. Her Aunt was mistreating her in a bad way. So one day she decided to walked long away from the place she was living.
Then After one year later she decided to go to the police station to report the matter. The police was shocked with the words the girl was telling her. Then she decided to take the girl and educate her. until the girl was married and helped other orphans. Q3:THE POOR GIRL Q4:POLICE OFFICER Q5:report, orphans, orphan, educate, parents Q6:KENYA Q7:KIBERA Q8:neighbourhood Q9:1-2 years ago Q10:Female Q12:Unknown Q13:The right people Q15:No Q17:[HORIZON]Questions 8 and 10 are not answered <<2011-10-18-KIBERA-S#007-P#01>>_ Q18:Unknown Q19:Physical Needs,Knowledge,Self-esteem Q23:8 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:It requires a continuous effort Q122:31-45 Q132:-1.28333000000000 Q133:36.76667000000000 Q134:Police
q2:The family of Okida's in my community had no children yet they had been married for more than ten years.They used everything and tried every means to get a baby but all was in vain and so to seek for a solution they gt this idea of visiting an orphanage and adopting a child,so the couple visited mam orphans orphanage and carried all the transaction and signed in proper documentation for the adoption of the child.
After everything was through they were given the eight years girl as a daughter.They lived with this child until things started to turn sour.the girl they were trying to help started to get involved into criminal activities.At first they thought the girl was very innocent but one evening as they were in the house the police arrived with girl who had been arrested for robbery with violence.What a shame ? The couple felt so low and shocked that Okidas wife fainted and went into a comma for period of six months but lacked had loomed in the family in the name of searching for a child. Q3:OKIDA'S FAMILY Q4:MAMA ORPHANS ORPHANAGE Q5:family family, girl, family, married, solution Q6:KENYA Q7:BUSIA Q8:NAMIKOYE Q9:Unknown Q10:Female Q12:Was affected by what happened Q13:Nobody Q15:Yes Q17:[HORIZON] Question 9 was not all answered. <>_ Q18:Important Q19:Security,Knowledge,Self-esteem Q37:Good idea that failed Q38:Broad need Q39:Social relations Q40:Mixed Q122:46-60 Q132:-2.01198000000000 Q133:37.17074000000000 Q134:No Answer
 
Found 3 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Self-esteem%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%girl%' and q2 like '%police%' ) or ( q3 like '%girl%' and q3 like '%police%' ) or ( q4 like '%girl%' and q4 like '%police%' ) or ( q5 like '%girl%' and q5 like '%police%' ) or ( q6 like '%girl%' and q6 like '%police%' ) or ( q7 like '%girl%' and q7 like '%police%' ) or ( q8 like '%girl%' and q8 like '%police%' ) or ( q11 like '%girl%' and q11 like '%police%' ) or ( q17 like '%girl%' and q17 like '%police%' ) or ( q26 like '%girl%' and q26 like '%police%' ) or ( q27 like '%girl%' and q27 like '%police%' ) or ( q28 like '%girl%' and q28 like '%police%' ) or ( q29 like '%girl%' and q29 like '%police%' ) or ( q35 like '%girl%' and q35 like '%police%' ) or ( q41 like '%girl%' and q41 like '%police%' ) or ( q42 like '%girl%' and q42 like '%police%' ) or ( q43 like '%girl%' and q43 like '%police%' ) or ( q46 like '%girl%' and q46 like '%police%' ) or ( q47 like '%girl%' and q47 like '%police%' ) or ( q60 like '%girl%' and q60 like '%police%' ) or ( q65 like '%girl%' and q65 like '%police%' ) or ( q70 like '%girl%' and q70 like '%police%' ) or ( q71 like '%girl%' and q71 like '%police%' ) or ( q72 like '%girl%' and q72 like '%police%' ) or ( q73 like '%girl%' and q73 like '%police%' ) or ( q74 like '%girl%' and q74 like '%police%' ) or ( q75 like '%girl%' and q75 like '%police%' ) or ( q76 like '%girl%' and q76 like '%police%' ) or ( q77 like '%girl%' and q77 like '%police%' ) or ( q80 like '%girl%' and q80 like '%police%' ) or ( q81 like '%girl%' and q81 like '%police%' ) or ( q86 like '%girl%' and q86 like '%police%' ) or ( q87 like '%girl%' and q87 like '%police%' ) or ( q88 like '%girl%' and q88 like '%police%' ) or ( q89 like '%girl%' and q89 like '%police%' ) or ( q98 like '%girl%' and q98 like '%police%' ) or ( q99 like '%girl%' and q99 like '%police%' ) or ( q110 like '%girl%' and q110 like '%police%' ) or ( q111 like '%girl%' and q111 like '%police%' ) or ( q116 like '%girl%' and q116 like '%police%' ) or ( q117 like '%girl%' and q117 like '%police%' ) or ( q123 like '%girl%' and q123 like '%police%' ) or ( q125 like '%girl%' and q125 like '%police%' ) or ( q132 like '%girl%' and q132 like '%police%' ) or ( q133 like '%girl%' and q133 like '%police%' ) or ( q134 like '%girl%' and q134 like '%police%' ) or ( q135 like '%girl%' and q135 like '%police%' ) or ( q136 like '%girl%' and q136 like '%police%' ) or ( q138 like '%girl%' and q138 like '%police%' ) or ( q141 like '%girl%' and q141 like '%police%' ) or ( q142 like '%girl%' and q142 like '%police%' ) or ( q151 like '%girl%' and q151 like '%police%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[m5rFdLGWM0DU]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)