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10 stories matched Food and shelter and (31-45 or 46-60 or Over 60) and Male and problem and area and water

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How good is this collection? (46/100)
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: 97/100 (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: 77/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2: In Kivagala village in vihiga county the community has been having a big problem for water.They go long distance to fetch water for domestic use especially women and girls are the most sufferers. Thank you for Umande foundation through supporting from donors in a broad now they can access clean water through borehole. The community will be able to use both clean water for house hold level as well for looking after their livestock.Thus improve the community development on water and sanitation in poor community rural areas
Q3:Give water to poor
Q4:Kivagala community
Q6:Kenya
Q7:Nairobi
Q8:Mivagala
Q9:2-6 months ago
Q10:Male
Q12:Heard about it happening
Q13:The right people
Q15:Yes
Q17:<<2012-07-06-KAYOLE-S#274-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Respect
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Economic opportunity
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:communities

q2: Water taps have been constructed in our community by our LCIV chairperson to cater for the problem of inadequate water supply in the area.People used to congest on the available water supply which are not enough for them.
Q3:Provides water taps
Q4:Individual
Q6:Uganda
Q7:Kampala
Q8:Ntebe
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Unknown
Q17:<<2012-12-21-UGANDA-S#992-P#01>>_
Q18:Happy
Q19:Food and shelter,Security,Family and Friends
Q23:50
Q37:Unknown
Q38:Specific problem
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Individual

q2: The main causes of pollution in urban areas are industrial wastes and vehicle exhaust fumes Industrial wastes include gases which pollute the atmosphere and solids and liquids which pollute water resources and soils.These forms of pollution damage the physical environment in general and are harmful to health Atmospheric pollution causes lung diseases.pollution of water resources and soils can kill of plant and animal life. the problem of pollution in kenya is nowhere near as bad as it is, in some more highly industrialized countries but it is getting worse, especially i n Nairobi and Mombasa. We must not forget what has been called noise pollutionTown especially big industrial towns are noisy places.
Q3:Pollution
Q4:Environmental programme
Q6:KENYA
Q7:NAIROBI
Q8:KISUMU DOGO
Q9:Less than 2 months ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:<<2012-04-28-KAWANGWARE-S#070-P#01 _hezekiah.ogira@yahoo.com
Q18:Inspired
Q19:Food and shelter,Physical Needs,Freedom
Q23:90
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Economic opportunity
Q40:Lasting change
Q122:31-45
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:V.I

q2:In last five years ago our area suffered alot with the problem of water scarcity because the area is a semi- desert as you see it.But we thank the government which managed to give us piped water something which is good to our health.
Q3:giving people clean water
Q4:The government
Q6:Uganda
Q7:Nakasongola
Q8:Mujera
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<10-11-11-CEPO-S#062-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Knowledge
Q23:7
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45

q2:In last five years ago our area suffered alot with the problem of water scarcity because the area is a semi- desert as you see it.But we thank the government which managed to give us piped water something which is good to our health.
Q3:giving people clean water
Q4:The government
Q6:Uganda
Q7:Nakasongola
Q8:Mujera
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<10-11-11-CEPO-S#001-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Knowledge
Q23:7
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:1.30889000000000
Q133:32.45639000000000
Q134:Government

q2:My name is Peter, I am a farmer But my farm is close to a catchment area. Sometimes during dry season, I use irrigation to plant some vegetables for sale. But since last year, I never planted any vegetables because there was no water any more. I was invited by our community Development worker at the D.O's office for a seminar on Agro-forestry. Funny enough, I found a solution to my problem after going through the teachings planned by an N.G.O in our region. I realized on my farm I had 2 big trees that were consuming water, i was advised to cut them down and plant the local trees. They said its good in retaining the water table. I have seen am improvement since those are the trees I planted.
Q3:Tree planting
Q4:ICRAF
Q5:agro-forestry, year, local, region, farm
Q6:Kenya
Q7:KAKAMEGA
Q8:AMALEMBA
Q9:7-12 months ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17:[HORIZON]<<2011-03-08-WEWASOFA-KAKAMEGA-S#433-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Family and Friends,Physical Needs
Q23:21
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:It requires a continuous effort
Q122:31-45
Q132:0.26675000000000
Q133:34.89439000000000
Q134:Icraf

q2:Water is health as they say, I live in a slum in Nairobi. People here have the problem I lack of water because of this problem i decided to write a letter to one of the internal Ministry of water suppliers. they replayed me, I wanted to know the area I was residing, hopefully they builded a borehole in the area. Am from Makweni area one the dry areas in Kenya, Am very thankful for the Minsitry of water, currently the community is benefiting.
Q3:WATER PROJECT
Q4:THE GOVT & UNICEF
Q5:residing, slum, &, health, live
Q6:Kenya
Q7:Nairobi
Q8:N/A
Q9:1-2 years ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:No
Q17:[HORIZON]<<2011-08-11-MATHARE-S#057-P#01>>_
Q18:Inspired
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:No Answer

q2: There was a problem of water shortage in Kalagala VCT Masaka district, the village council managed to collect some money to solve the problem but they failed due to poverty problem in the area but world vission helped and construct & bore holes which had solved the problem.
Q3:CONSTRUCTING WATER SOURCE
Q4:WORLD VISSION
Q6:UGANDA
Q7:MASAKA
Q8:KALAGALA
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:POVERTY. <<2011-04-19-CEPO-NDEGEYA-S#072-P#01>> _
Q18:Important
Q19:Food and shelter,Family and Friends,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Physical well-being
Q40:Lasting change
Q122:31-45
Q132:-0.50000000000000
Q133:31.75000000000000
Q134:World Vision

q2:I learnt about SWM from a friend and concluded that SWIM can solve or meet my water needs. Our area is a semi arid area and water problems are experienced all the time long. My plot is situated near the area through where the rain water passes during the rainy season and i have no resources to enable me harvest this water. My shamba is potentially useful if i have water to irrigate it. The local community will equally benefit from all kinds of vegetable and also my family and my animals. I hope that SWIM will consider my cases and do the needful. Thank you.
Q3:REQUEST FOR WATER PROVISION
Q4:SWIM
Q6:KENYA
Q7:NYAHURURU
Q8:KARABA
Q9:2-6 months ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:JAMES NDIRITU WANYAMU ID 50084880. <<2011-03-31-NorthCentralRegion-John-Swim-S#153-P#-01>>_
Q18:Inspired
Q19:Food and shelter,Family and Friends,Freedom
Q23:-1
Q37:Good idea that failed
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:Over 60
Q132:-1.31195500000000
Q133:36.79538000000000
Q134:Swim

q2: There was once a breakout of dysentry due to lack of clean water and also flooding water in the area and some people were hospitalized and the government through the ministry of health responded by sending a team of experts to give proper medication to the affected people and also another team was sent to improve the drainage out of the area to avoid the problem from happening again.
Q3:hosptals
Q4:gerverment
Q5:hospitalized, clean, health, due, lack
Q6:KENYA
Q7:NAIROBI
Q8:D.C ground Kibera
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:Mixed
Q15:Yes
Q17:<<2011-02-27-Kibera-Magoso-028-01>>_
Q18:Important
Q19:Food and shelter,Family and Friends,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:31-45
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Government

Found 10 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Food and shelter%' 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[eZOhantJlmWc]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)