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THE USE OF DATA FOR
IMPROVED SUB-NATIONAL
DEVELOPMENT IN ZAMBIA
Examining the use of data for development purposes in
the context community settings.
Presentation Outline
 Background
 Importance of Data in community development planning
 An example of Chienge Constituency in Luapula Province
 Conclusion
Introduction
• 2022 Budget proposes a shift
in the management of
finances to accelerate
development in rural areas
• Constituency Development
Fund increased from K1.6
Million to K25.7 Million
• Expected to contribute to
Economic Transformation and
Job Creation, Environmental
sustainability, Human and
Social Development and
Good Governance.
Importance of Data in Community Development
Planning
• Evidence based planning –
Using best available data,
information and knowledge to
support decision making
• Addressing identified gaps
• Data that is disaggregated to
the lower levels could improve
targeting of limited resources
for better development
results
• Easier to Monitor programme
and project implementation
and correct problems that are
identified
• Data presentation will need to
be simplified.
An example of Chienge Constituency in Luapula Province
Poverty and Education Education and Gender
Total Population – 115 803
Poor Population – 104 110
*Source – Sub National Analysis of the 2010 Census of Population and Housing Ministry of Finance and National Planning.
Possible Policy options for Chienge Constituency
• Increase funding to the
Education Sector (Build,
Rehabilitate, Expand)
• Promote programmes that
increase Primary and Secondary
school completion rates and
reduce the drop out rate
• Address factors that contribute
to dropout rates (Child
Marriages, Fishing, Distance to
education facilities etc)
• Aim to Keep Girls in School
• Improve targeting of social cash
transfer and subsidies to reduce
poverty
Conclusion
• Data is critical for evidence based development planning
• There is need to strengthen capacity at Community Levels in Zambia to effectively plan
and utilize the increased Constituency Development Plan
• Simplify the data that is produced in reports to ensure that it is understood and utilized
especially at community levels.

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The use of data for improved sub-National development in Zambia

  • 1. THE USE OF DATA FOR IMPROVED SUB-NATIONAL DEVELOPMENT IN ZAMBIA Examining the use of data for development purposes in the context community settings.
  • 2. Presentation Outline  Background  Importance of Data in community development planning  An example of Chienge Constituency in Luapula Province  Conclusion
  • 3. Introduction • 2022 Budget proposes a shift in the management of finances to accelerate development in rural areas • Constituency Development Fund increased from K1.6 Million to K25.7 Million • Expected to contribute to Economic Transformation and Job Creation, Environmental sustainability, Human and Social Development and Good Governance.
  • 4. Importance of Data in Community Development Planning • Evidence based planning – Using best available data, information and knowledge to support decision making • Addressing identified gaps • Data that is disaggregated to the lower levels could improve targeting of limited resources for better development results • Easier to Monitor programme and project implementation and correct problems that are identified • Data presentation will need to be simplified.
  • 5. An example of Chienge Constituency in Luapula Province Poverty and Education Education and Gender Total Population – 115 803 Poor Population – 104 110 *Source – Sub National Analysis of the 2010 Census of Population and Housing Ministry of Finance and National Planning.
  • 6. Possible Policy options for Chienge Constituency • Increase funding to the Education Sector (Build, Rehabilitate, Expand) • Promote programmes that increase Primary and Secondary school completion rates and reduce the drop out rate • Address factors that contribute to dropout rates (Child Marriages, Fishing, Distance to education facilities etc) • Aim to Keep Girls in School • Improve targeting of social cash transfer and subsidies to reduce poverty
  • 7. Conclusion • Data is critical for evidence based development planning • There is need to strengthen capacity at Community Levels in Zambia to effectively plan and utilize the increased Constituency Development Plan • Simplify the data that is produced in reports to ensure that it is understood and utilized especially at community levels.

Editor's Notes

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