Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

7 stories matched Female and (31-45 or 46-60 or Over 60) and Family and development and brought

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

How good is this collection? (64/100)
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: 7/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 98/100 (100% when every storytellers answer every question)
Diverse points of view: 56/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 93/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.

q2: In one meeting of Wabulanga Youth Development Association,the medical assistant of the organization convinced fellow youths to test for HIV/AIDS and know their status. At a free coast he brought medical person from TASO on an agree day so that the youths would test and know their HIV/AIDS status. Unfortunately many youths never turned on that day only 4 had come to know their HIV/AIDS status. Some of the youths are orphans and no wonder they never mind of knowing their HIV/AIDS status till how.
Q3:Development
Q4:Wabulenga Youth Development Association
Q6:UGANDA
Q7:JINJA
Q8:WABULENGA
Q9:2-6 months ago
Q10:Female
Q12:Helped make it happen
Q13:Mixed
Q15:Yes
Q17:<<13-12-2011-WEDI-S#015-P#01>>_
Q18:Disappointed
Q19:Security,Family and Friends,Respect
Q23:96
Q37:Good idea that should have worked but did not
Q38:Specific problem
Q39:Mixed
Q40:It requires a continuous effort
Q122:31-45
Q132:0.48389000000000
Q133:33.21028000000000
Q134:Wabulenga Youth Development Association

q2:EADD-East Dairy Development project.Uganda. Is Heifer international project in Uganda.It has Technical support at household level,has facilitated farmers to boost their animals' nutrition and production levels.Improved breeding technologies have helped farmers to acquire high quality animal breeds.Trainings have equipped them with the necessary knowledge and skills in dairy farming.Dairy Business,Development services and products have been brought nearer to farmers for easy and affordable access.A competent committed support Farmers to improve their livelihoods through Dairy Farming.At times they transport the farmers to go and visit other farmers indiffrent places,like kenya,masaka,lakayi,mpigi and Ntungamu.
Q3:Heifer Internation project,Uganda
Q4:East Africa Dairy Development EADD.
Q5:heifer, high quality, household, development, services
Q6:Country
Q7:District
Q8:Village
Q9:Less than 2 months ago
Q10:Female
Q12:Helped make it happen
Q13:The wrong people
Q15:Yes
Q17:[HORIZON] QUESTION 9 NOT FULLY ANSWERED <<13-12-2011-WEDI-S#016-P#01>>_
Q18:Hopeful
Q19:Family and Friends,Knowledge
Q23:50
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:46-60
Q132:-1.46667000000000
Q133:37.31667000000000
Q134:ACTION ON DISABILITY AND DEVELOPMENT(ADD)

q2:Once living in Siaya, we had a major problem of food because the land was a wilderness full of shrubs and thickets. Most of the land remained unused, expect for the heard of cattle that grazed life in the area and brought about development in the rears cattles, chicken, goats, dairy cows and he even constructed four fish ponds and this changed the wasteland into a productive land that has left the mouth of many wide open.
Q3:wasteland into food
Q4:individual
Q5:wilderness, land, major, open, development
Q6:KENYA
Q7:SIAYA
Q8:gemu
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<>_
Q18:Inspired
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that succeeded
Q38:Broad need
Q39:Physical well-being
Q40:Mixed
Q122:46-60
Q132:0.04000000000000
Q133:34.30000000000000
Q134:Individual

q2:When people come together for a common course they make things much better and faster. Groups formed and run well are in most cases the ones to watch since they play a big role in development at the society & community level. I being a member of one of the women groups in my area, I have had a lot of gains from the group since we carry out many projects together. These group was formed after a training in group dynamics and cohesiveness by a gender & governance department of Western water & sanitation forum which brought together a total of 120 participants in two different forums in my location. I urge all the women to realize their dream and form such groups then borrow loans or mortgages for their better life.
Q3:TWO IS BETTER THAN ONE
Q4:Western water & Sanitation Forum
Q5:participants, dynamics, women groups, loans, common
Q6:KENYA
Q7:Kakamega North
Q8:Mwayala
Q9:2-6 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The wrong people
Q15:Yes
Q17:HORIZON<<2011-05-11-KAKAMEGA GROUPS-S#149-P#01>>_
Q18:Important
Q19:Food and shelter,Family and Friends,Physical Needs
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:0E-14
Q133:0E-14
Q134:Wewasafo

q2:BRAC, Uganda helped us to develop,it gave us loans on a very low interest rate,it gaves us chicken to near,it gave us new improved seeds to boast our agriculture. Today there is a very significant change in our lifes due to the development that brac brought to us and we hope to develop the more God willing.
Q3:BRAC DEVELOPS VILLAGE FARMERS
Q4:BRAC UGANDA
Q6:Uganda
Q7:Rakai
Q8:Nkenge
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-05-14-CHEDRA-S#019-P#01>>_
Q18:Inspired
Q19:Food and shelter,Security,Family and Friends
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:31-45
Q132:-0.61667000000000
Q133:31.51667000000000
Q134:Brac Uganda

q2: Holly cross ministrige came in Bugembe around 1990.This an organisation for catholic church people.they introduced schools both formally and secondary.These schools have helped the people of Bugembe and we are now okay with students. Schools are nearby boarding and day.Students have acquired knowledge and religion.These have reached the extent of building hospital where there is a lot of care once you happen to go there. They have helped parents who have small children to give them transport to and from, and their kept and school until evening when they are brought back home.
Q3:DEVELOPMENT THAT IS BROUGHT BY RELIGIOUS PEOPLE
Q4:COMMUNITY
Q5:boarding, evening, secondary, schools, building
Q6:Uganda
Q7:Jinja
Q8:Namwesa
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:0781454718_<<13-12-2011-WEDI-S#017-P#01>>
Q18:Happy
Q19:Family and Friends,Physical Needs,Freedom
Q23:54
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:46-60
Q132:0.38333000000000
Q133:32.55000000000000
Q134:Community

q2: The idea brought in about the constituency development funds by the government has helped change positively many constitiencies with better management and which leaders act well. To some with poor management it has not been well for them. The CDF money has help build better roads, expand many schools and even support many pupils and students who are unable to those constituencies with better management. It has been realised that the amount of money given by the government as a constituency development funds is not enough for the underdevelopment constituency and an appeal has been made to them to be considering each and every constituency because underdeveloped area should not be compared to development area.
Q3:constituency development funds
Q4:THE GOVERNMENT
Q5:compared, students, change, better, given
Q6:KENYA
Q7:NAIROBI
Q8:kibera makina
Q9:2-6 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:<<2011-03-07-kibera-Ogigara-unknown-052-01>>_
Q18:Important
Q19:Family and Friends,Physical Needs,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:31-45
Q132:-1.31842600000000
Q133:36.79649600000000
Q134:Government

Found 7 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Family%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%development%' and q2 like '%brought%' ) or ( q3 like '%development%' and q3 like '%brought%' ) or ( q4 like '%development%' and q4 like '%brought%' ) or ( q5 like '%development%' and q5 like '%brought%' ) or ( q6 like '%development%' and q6 like '%brought%' ) or ( q7 like '%development%' and q7 like '%brought%' ) or ( q8 like '%development%' and q8 like '%brought%' ) or ( q11 like '%development%' and q11 like '%brought%' ) or ( q17 like '%development%' and q17 like '%brought%' ) or ( q26 like '%development%' and q26 like '%brought%' ) or ( q27 like '%development%' and q27 like '%brought%' ) or ( q28 like '%development%' and q28 like '%brought%' ) or ( q29 like '%development%' and q29 like '%brought%' ) or ( q35 like '%development%' and q35 like '%brought%' ) or ( q41 like '%development%' and q41 like '%brought%' ) or ( q42 like '%development%' and q42 like '%brought%' ) or ( q43 like '%development%' and q43 like '%brought%' ) or ( q46 like '%development%' and q46 like '%brought%' ) or ( q47 like '%development%' and q47 like '%brought%' ) or ( q60 like '%development%' and q60 like '%brought%' ) or ( q65 like '%development%' and q65 like '%brought%' ) or ( q70 like '%development%' and q70 like '%brought%' ) or ( q71 like '%development%' and q71 like '%brought%' ) or ( q72 like '%development%' and q72 like '%brought%' ) or ( q73 like '%development%' and q73 like '%brought%' ) or ( q74 like '%development%' and q74 like '%brought%' ) or ( q75 like '%development%' and q75 like '%brought%' ) or ( q76 like '%development%' and q76 like '%brought%' ) or ( q77 like '%development%' and q77 like '%brought%' ) or ( q80 like '%development%' and q80 like '%brought%' ) or ( q81 like '%development%' and q81 like '%brought%' ) or ( q86 like '%development%' and q86 like '%brought%' ) or ( q87 like '%development%' and q87 like '%brought%' ) or ( q88 like '%development%' and q88 like '%brought%' ) or ( q89 like '%development%' and q89 like '%brought%' ) or ( q98 like '%development%' and q98 like '%brought%' ) or ( q99 like '%development%' and q99 like '%brought%' ) or ( q110 like '%development%' and q110 like '%brought%' ) or ( q111 like '%development%' and q111 like '%brought%' ) or ( q116 like '%development%' and q116 like '%brought%' ) or ( q117 like '%development%' and q117 like '%brought%' ) or ( q123 like '%development%' and q123 like '%brought%' ) or ( q125 like '%development%' and q125 like '%brought%' ) or ( q132 like '%development%' and q132 like '%brought%' ) or ( q133 like '%development%' and q133 like '%brought%' ) or ( q134 like '%development%' and q134 like '%brought%' ) or ( q135 like '%development%' and q135 like '%brought%' ) or ( q136 like '%development%' and q136 like '%brought%' ) or ( q138 like '%development%' and q138 like '%brought%' ) or ( q141 like '%development%' and q141 like '%brought%' ) or ( q142 like '%development%' and q142 like '%brought%' ) or ( q151 like '%development%' and q151 like '%brought%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[LhLmsmkHvO1U]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)