Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

10 stories matched Female and (31-45 or 46-60 or Over 60) and Self-esteem and problem and area and water

Your search did not match enough stories to do a complete analysis. Only basic information is showing.

How good is this collection? (50/100)
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: 8/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 96/100 (100% when every storytellers answer every question)
Diverse points of view: 0/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 98/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.

q2:In Soweto area when it rained, walking or even driving there used to be a problem because of mud anywhere, but with the councillor of he area who initiated the rehablitation of the roads within this area, has improved the situation . The locals do not strain in the mud as before, the way in which these roads have been put up helps in the drainage, therefore no stagnant water and there are no pot holes too. This has been a relief to many. They are grateful to the area councillor Mr. Rapando.
Q3:VOICE OF THE WANAINCHI
Q4:INDIVIDUAL
Q6:Kenya
Q7:Nairobi
Q8:SOWETO
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-07-12-KAYOLE-S#187-P#01>>_
Q18:Happy
Q19:Physical Needs,Self-esteem,Fun
Q23:50
Q37:Good idea that worked somewhat
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Individual

q2:In our area we thank the government which helped us to construct a bore hole which supplies us water something which solved the problem of water.
Q3:Solved the problem of water shortage
Q4:The government
Q6:Uganda
Q7:Kampala
Q8:Lubaga
Q9:More than 2 years ago
Q10:Female
Q12:Heard about it happening
Q13:The right people
Q15:No
Q17:<<2012-05-03-UGANDA-S#337-P#01>>_
Q18:Hopeful
Q19:Knowledge,Self-esteem,Fun
Q23:21
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:31-45

q2: An organisation named SWIM came to our area of residence and Idetified our problem.of having clean water for domestic use and subsistence farming.The CBO-SWIM has helped the community groups to identified water well spots.The community work on wells has been positive,major problem is to get the water on the surface for easy use.If the community would get the water on the surface easily for domestic use and subsistence farming.proverty would be eradicated
Q3:POVERTY ERADICATION
Q4:SWIM
Q6:KENYA
Q7:NYAHURURU
Q8:MUTHENGERA
Q9:2-6 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:Unknown
Q17:<<2012-02-15-KIBERA-S#020-P#01>>_
Q18:Inspired
Q19:Food and shelter,Creativity,Self-esteem
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:Over 60
Q132:None
Q133:None
Q134:Swim

q2:The ministry of Agriculture and animal husbandry helped to construct a water dam for our animals in Luwero district some thing which solved the problem of water shortage and promoted cattle rearing in the area.
Q3:Promoting animal rearing
Q4:Ministry of agriculture
Q6:Uganda
Q7:Luwero
Q8:Ngoma
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17:<13-11-2011-CEPO-S#107-P#01>>_
Q18:Happy
Q19:Security,Knowledge,Self-esteem
Q23:94
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:It requires a continuous effort
Q122:31-45
Q132:-0.76444000000000
Q133:30.16667000000000
Q134:Gvernment

q2:Hon. AualaKyambade the area Mp mawokota north improved the road net work in her constituency through paying a tractor to level all the holes in the road. She also provided a borehole to the community to solve the problem in water shortage.
Q3:IMPROVING ROAD NET WORK
Q4:INDIVIDUAL
Q6:UGANDA
Q7:MPIGI
Q8:KAMENGO
Q9:More than 2 years ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:<<28-10-2011-UGANDA-S#297-P#01>>_
Q18:Important
Q19:Physical Needs,Knowledge,Self-esteem
Q37:mixed
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:0.61667000000000
Q133:32.70000000000000
Q134:Individual

q2:In 1992 an organisation called concern helped our village to construct a shallow well and a borehole.This has helped to solve the problem ofwater shortagein the area and spread of water born diseases
Q3:Empowering the community through constructing borehole
Q4:Concern
Q6:UGANDA
Q7:Mbarara
Q8:Kizungu
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17: <<28/10/11-UGANDA-P#001-S#383>>_
Q18:Happy
Q19:Knowledge,Respect,Self-esteem
Q23:37
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:Over 60
Q132:-0.60800000000000
Q133:30.65000000000000
Q134:Concern

q2: There is a problem of water in the rural areas especially during the dry season so people are complaining for helping because they were promised to construct government dams by the government where people are still waiting for what was promised by the government up to now, they are not seeing any dam being constructed and people are complaining while saying that the government sent money for constructing dams and when it reaches to the local leaders, the money disappear from there that's why the programme failed.
Q3:GOVERNMENT
Q4:WATER PROJECT
Q6:UGANDA
Q7:RAKAI
Q8:LWAMAGGWA
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:The wrong people
Q15:No
Q17:<<2011-05-11-Kacheera-Sacco-S#009-P#001-P#003>>_
Q18:Horrible
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:Good idea that failed
Q38:Broad need
Q39:Physical well-being
Q40:Lasting change
Q122:31-45
Q132:-0.72000000000000
Q133:31.48389000000000
Q134:None

q2:I am a Kenyan citizen within Laikipia West, Muhotetu Division. In 1997, an organization called ASAL which was started a project which drew water to Karaba. As we had registered for the water project and being a member, the funny thing is that, my shamba is an hill and the water was maintained for ground flow, thus it was not piped water since then I have not had water. Due to the hot weather seasons, and being an arid area, there is a serious problem with water. Only if I could get an organization/individual who will assist me, I would be grateful. The water will assist me farming both both animals, grains, vegetables and kitchen.
Q3:WATER PROBLEM
Q4:ASAL
Q6:KENYA
Q7:NAIROBI
Q8:MUHOTETU/LALIAK
Q9:Unknown
Q10:Female
Q12:Was affected by what happened
Q13:Mixed
Q15:Unknown
Q17:<<2011-03-31-NorthCentralRegion-John-Swim-S#074-P#001-P#003>> SIDA QUESTIONS # 12 and 17 do not have answers_
Q18:Important
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:Good idea that failed
Q38:Mixed
Q39:Economic opportunity
Q40:Lasting change
Q122:46-60
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Asal

q2:-I am a kenyan citizen a residence of LAIKIPIA WEST CONSTITUENCY.An area of low income where security is a problem water is a major threat.Due to these problems life has become very hard to sustain on life.Organizations has come to give assistant in offering water giving us.options of providing 30% of the money needed to give assistance but due to the problems listed above we were not able to raise the 30% so no assistance was provided.i would like to request assistance from any organization inorder to raise our way of life and improve country as a whole.
Q3:LIFE THREAT
Q4:SWIM
Q6:KENYA
Q7:NYAHURURU
Q8:KARABA
Q9:2-6 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The wrong people
Q15:Yes
Q17:ROSEMARY MUTHONI GITAHI.[HORIZON]In question 4 i joined the dots.<<2011-03-31-NorthCentralRegion-John-Swim-S#041-P#01>>_
Q18:Inspired
Q19:Security,Self-esteem,Freedom
Q23:-1
Q37:Good idea that failed
Q38:Mixed
Q39:Physical well-being
Q40:Lasting change
Q122:31-45
Q132:-1.31195500000000
Q133:36.79538000000000
Q134:Swim

q2:It is now 7-12 month since I meet with the organization of Mr. Nicholas of Shallow Well International he encourage people to set group and being united to be locating wells. In my area we had no problems of water coz we used to go for long to find water, also we couldn't kept the domestic animals, becasue of the shortage of water. nowaday in our area people coud kept those animals search as cows, goats, and sheep. Also we able on farmong woth out drought.
Q3:Water is Basic
Q4:SHALLOW WELLS INTERNATIONAL MANAGEMENT
Q6:KENYA
Q7:KIPIPIRI
Q8:MAREWA
Q9:7-12 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17:[HORIZON]I joined the dots in no. 4&5<<2011-03-31-NorthCentralRegion-John-Swim-s#101-p#01>>_
Q18:Inspired
Q19:Security,Knowledge,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:46-60
Q132:-0.43832000000000
Q133:36.54733000000000
Q134:Swim

Found 10 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 '%problem%' and q2 like '%area%' and q2 like '%water%' ) or ( q3 like '%problem%' and q3 like '%area%' and q3 like '%water%' ) or ( q4 like '%problem%' and q4 like '%area%' and q4 like '%water%' ) or ( q5 like '%problem%' and q5 like '%area%' and q5 like '%water%' ) or ( q6 like '%problem%' and q6 like '%area%' and q6 like '%water%' ) or ( q7 like '%problem%' and q7 like '%area%' and q7 like '%water%' ) or ( q8 like '%problem%' and q8 like '%area%' and q8 like '%water%' ) or ( q11 like '%problem%' and q11 like '%area%' and q11 like '%water%' ) or ( q17 like '%problem%' and q17 like '%area%' and q17 like '%water%' ) or ( q26 like '%problem%' and q26 like '%area%' and q26 like '%water%' ) or ( q27 like '%problem%' and q27 like '%area%' and q27 like '%water%' ) or ( q28 like '%problem%' and q28 like '%area%' and q28 like '%water%' ) or ( q29 like '%problem%' and q29 like '%area%' and q29 like '%water%' ) or ( q35 like '%problem%' and q35 like '%area%' and q35 like '%water%' ) or ( q41 like '%problem%' and q41 like '%area%' and q41 like '%water%' ) or ( q42 like '%problem%' and q42 like '%area%' and q42 like '%water%' ) or ( q43 like '%problem%' and q43 like '%area%' and q43 like '%water%' ) or ( q46 like '%problem%' and q46 like '%area%' and q46 like '%water%' ) or ( q47 like '%problem%' and q47 like '%area%' and q47 like '%water%' ) or ( q60 like '%problem%' and q60 like '%area%' and q60 like '%water%' ) or ( q65 like '%problem%' and q65 like '%area%' and q65 like '%water%' ) or ( q70 like '%problem%' and q70 like '%area%' and q70 like '%water%' ) or ( q71 like '%problem%' and q71 like '%area%' and q71 like '%water%' ) or ( q72 like '%problem%' and q72 like '%area%' and q72 like '%water%' ) or ( q73 like '%problem%' and q73 like '%area%' and q73 like '%water%' ) or ( q74 like '%problem%' and q74 like '%area%' and q74 like '%water%' ) or ( q75 like '%problem%' and q75 like '%area%' and q75 like '%water%' ) or ( q76 like '%problem%' and q76 like '%area%' and q76 like '%water%' ) or ( q77 like '%problem%' and q77 like '%area%' and q77 like '%water%' ) or ( q80 like '%problem%' and q80 like '%area%' and q80 like '%water%' ) or ( q81 like '%problem%' and q81 like '%area%' and q81 like '%water%' ) or ( q86 like '%problem%' and q86 like '%area%' and q86 like '%water%' ) or ( q87 like '%problem%' and q87 like '%area%' and q87 like '%water%' ) or ( q88 like '%problem%' and q88 like '%area%' and q88 like '%water%' ) or ( q89 like '%problem%' and q89 like '%area%' and q89 like '%water%' ) or ( q98 like '%problem%' and q98 like '%area%' and q98 like '%water%' ) or ( q99 like '%problem%' and q99 like '%area%' and q99 like '%water%' ) or ( q110 like '%problem%' and q110 like '%area%' and q110 like '%water%' ) or ( q111 like '%problem%' and q111 like '%area%' and q111 like '%water%' ) or ( q116 like '%problem%' and q116 like '%area%' and q116 like '%water%' ) or ( q117 like '%problem%' and q117 like '%area%' and q117 like '%water%' ) or ( q123 like '%problem%' and q123 like '%area%' and q123 like '%water%' ) or ( q125 like '%problem%' and q125 like '%area%' and q125 like '%water%' ) or ( q132 like '%problem%' and q132 like '%area%' and q132 like '%water%' ) or ( q133 like '%problem%' and q133 like '%area%' and q133 like '%water%' ) or ( q134 like '%problem%' and q134 like '%area%' and q134 like '%water%' ) or ( q135 like '%problem%' and q135 like '%area%' and q135 like '%water%' ) or ( q136 like '%problem%' and q136 like '%area%' and q136 like '%water%' ) or ( q138 like '%problem%' and q138 like '%area%' and q138 like '%water%' ) or ( q141 like '%problem%' and q141 like '%area%' and q141 like '%water%' ) or ( q142 like '%problem%' and q142 like '%area%' and q142 like '%water%' ) or ( q151 like '%problem%' and q151 like '%area%' and q151 like '%water%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[OdACJqenJsZZ]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)