SlideShare a Scribd company logo
1 of 12
Human Sciences Research Council
(HSRC)
PHASE 1 RESEARCH REPORT
Developmental Outcomes of Land Restitution
PROVINCIAL OVERVIEW
EASTERN CAPE
16 July 2013
Prepared by:
Xolani January
HSRC Research Assistant
Outline
 Provincial summary statistics (Settled Claims)
 Data management system
 Brief description of settled claims
 Districts overview by settled claim category
land, cash, combined
 Challenges and recommendations
Provincial summary statistics (Settled
Claims)
Provincial summary statistics (Settled Claims)
District Municipality Number of Settled Claims Sampled Claims (15%)
Alfred Ndzo 69 10
Amatole 10612 1592
Cacadu 5247 787
Chris Hani 332 50
Joe Gqabi 179 27
O.R. Tambo 92 14
Total 16531 2479
Data management system
 The Research Team were expected to get an understanding of the databases the
Provincial/Regional Office (Information Management Unit) use which are:
 Magic
 Land base
 Umhlaba Wethu
 Saflii website
The main outcome of this exercise was to ascertain which system is the most reliable and
extensive and is the one that the study will be utilising
Data management system cont…
Land base system
 Since the start of the research exercise Land Base system has never been up and running, on the 27th of
June 2013 an attempt to fix it was made, but no progress was made
Electronic Data Management (EMD)
Scanned files
Used for Unsettled Claims
Challenges with EDM:
 Not all the settled claims are available in the system.
 Not all the necessary information needed is available in some instances Research Assistants would find a claim
with only valuation report or validation report no Gazette form nor Section 42D in some cases project name are
available but are un-accessible.
 Missing documents both electronically and in hardcopy files.
 Repetition of information in some claims
Brief description of settled claims
Municipal District Rural/Urban Cash
Settleme
nt
Land
Settlem
ent
Combined Land size Cash Monetary STANDARD CLAIMANT PROFILES
Average time
settled
Yes/No Yes/No Yes/No Hectares Value [Fin Comp] No. of Households
Alfred Nzo 790% Urban 100% 0 0 0 R 221 681,00 51
10% Rural
Amatole 880% Urban
20%Rural 70% 20% 10%595ha R 4 189 774,00 398
Cacadu 9100% Urban 100% 0 0605ha R 15 038 972, 06 1518
Chris Hani 860Urban 80% 0 20%83,931ha R 1 031 460,92 166
40% Rural
O.R. Tambo 10100% Rural 80% 10% 10% 22 213 853 R 20 014 086,35 16166
Districts overview by settled claim category
land, cash, combined
 In Amatole District the Sample Indicates that it took an average of 9 years to settle
claims, The sample also indicates that it can take a minimum of 6 years to 15 years to
settle claims, In Amatole District 80% of settled Claims are Urban claims and 20 % are
Rural Claims.
 70% of the Settled Claims are Cash Settled Claims 20% of the Settled Claims are Land
Settled Claims and 10% of Settled Claims and Combined Settled Claims
 The Sample indicates that out of the 20 % Land Settled Claims an average of 595 ha has
been settled
 100% of Settled Claims were Residential Land. In terms of Monetary value an average of
R 4 189 774 settled which an average of 398 household claimed
 In Cacadu Districts the Sample indicates that it took a an average of 9 years to
Settle Claims, whilst on the other hand it indicates it can take a minimum of 6 years
to a maximum of 12 years to settle claims
 Out of the Settled Claims in Cacadu 100% of the Settled Claims are Urban Claim. The
Sample indicates that an average of 605 ha of Land were claimed. The Sample also
indicates that 100% of Settled Claims were Residential land.
 The monetary value of settled claims in Cacadu is in an average of R 15 038 972,06
which was claimed by 1518 household
 Notes: In Chris Hani District the Sample indicates that it took an average of 8 years to settle a claim. The sample
also indicate that it can take a minimum of 4 years up to a maximum of 14 years to settle a claims
 Out of 100% Settled Claims in Chris Hani District 60% of the Claims are Urban Claims whilst 40% of Claims are
Rural Claims.
 In Chris Hani District 80% of Settled Claims are Cash Settled Claims, 20% of Settled Claims are Combined Settled
Claims.
 The Sample also indicates that out of the 20% Combined Claims an average of 83,931 ha were settled. The
Sample indicates that 100% of Settled Claims are Residential Claims.
 The monetary value of the settled claims in Chris Hani District is in an average of R 103 1460,92 , which was
claimed by 166 household.

 Note: In the Case of O.R. Tambo the Sample indicates that to settle a claim it takes an average of 10 years,
whilst it also indicate that it can take up to maximum of 14 years and also a minimum of 6 years.
 In O.R.Tambo 100% of Settled claims are Rural Claims, which 80% of the Settled claims are Cash Settlements,
10% of Settled Claims are Land Settlements and 10 % of the Settled Claims are Combine Settlements.
 In the 100 of Claimes in O.R. Tambo an average 22 213 853 ha was claimed, out of the 10% Land Claimed
90% land was for residential use 10% for conservation. The monetary value of Settled Claims in O.R.Tambo is
an average of R26 014 086, 36. The Total number of Household claimed in O.R. Tambo is an Average of 16166

Cont..
 Notes: It took an average of 9 years to settled the claims on the sample. In terms of
type of settlement 100% was Cash settlement, The average land sized claimed is not
available. The Claimed land was for residential use. The monetary value of the claims
is an average of R 582 400,00 which was claimed by 8 Households
Challenges and recommendations
 Misclassification of Files and Missing Reference numbers
 Cooperation of Project Officers
 Communication channels
 Project Duration

More Related Content

Featured

Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
Kurio // The Social Media Age(ncy)
 

Featured (20)

Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work
 
ChatGPT webinar slides
ChatGPT webinar slidesChatGPT webinar slides
ChatGPT webinar slides
 
More than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike RoutesMore than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike Routes
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
 

Land restitution Presentation final

  • 1. Human Sciences Research Council (HSRC) PHASE 1 RESEARCH REPORT Developmental Outcomes of Land Restitution PROVINCIAL OVERVIEW EASTERN CAPE 16 July 2013 Prepared by: Xolani January HSRC Research Assistant
  • 2. Outline  Provincial summary statistics (Settled Claims)  Data management system  Brief description of settled claims  Districts overview by settled claim category land, cash, combined  Challenges and recommendations
  • 3. Provincial summary statistics (Settled Claims) Provincial summary statistics (Settled Claims) District Municipality Number of Settled Claims Sampled Claims (15%) Alfred Ndzo 69 10 Amatole 10612 1592 Cacadu 5247 787 Chris Hani 332 50 Joe Gqabi 179 27 O.R. Tambo 92 14 Total 16531 2479
  • 4. Data management system  The Research Team were expected to get an understanding of the databases the Provincial/Regional Office (Information Management Unit) use which are:  Magic  Land base  Umhlaba Wethu  Saflii website The main outcome of this exercise was to ascertain which system is the most reliable and extensive and is the one that the study will be utilising
  • 5. Data management system cont… Land base system  Since the start of the research exercise Land Base system has never been up and running, on the 27th of June 2013 an attempt to fix it was made, but no progress was made Electronic Data Management (EMD) Scanned files Used for Unsettled Claims Challenges with EDM:  Not all the settled claims are available in the system.  Not all the necessary information needed is available in some instances Research Assistants would find a claim with only valuation report or validation report no Gazette form nor Section 42D in some cases project name are available but are un-accessible.  Missing documents both electronically and in hardcopy files.  Repetition of information in some claims
  • 6. Brief description of settled claims Municipal District Rural/Urban Cash Settleme nt Land Settlem ent Combined Land size Cash Monetary STANDARD CLAIMANT PROFILES Average time settled Yes/No Yes/No Yes/No Hectares Value [Fin Comp] No. of Households Alfred Nzo 790% Urban 100% 0 0 0 R 221 681,00 51 10% Rural Amatole 880% Urban 20%Rural 70% 20% 10%595ha R 4 189 774,00 398 Cacadu 9100% Urban 100% 0 0605ha R 15 038 972, 06 1518 Chris Hani 860Urban 80% 0 20%83,931ha R 1 031 460,92 166 40% Rural O.R. Tambo 10100% Rural 80% 10% 10% 22 213 853 R 20 014 086,35 16166
  • 7. Districts overview by settled claim category land, cash, combined  In Amatole District the Sample Indicates that it took an average of 9 years to settle claims, The sample also indicates that it can take a minimum of 6 years to 15 years to settle claims, In Amatole District 80% of settled Claims are Urban claims and 20 % are Rural Claims.  70% of the Settled Claims are Cash Settled Claims 20% of the Settled Claims are Land Settled Claims and 10% of Settled Claims and Combined Settled Claims  The Sample indicates that out of the 20 % Land Settled Claims an average of 595 ha has been settled  100% of Settled Claims were Residential Land. In terms of Monetary value an average of R 4 189 774 settled which an average of 398 household claimed
  • 8.  In Cacadu Districts the Sample indicates that it took a an average of 9 years to Settle Claims, whilst on the other hand it indicates it can take a minimum of 6 years to a maximum of 12 years to settle claims  Out of the Settled Claims in Cacadu 100% of the Settled Claims are Urban Claim. The Sample indicates that an average of 605 ha of Land were claimed. The Sample also indicates that 100% of Settled Claims were Residential land.  The monetary value of settled claims in Cacadu is in an average of R 15 038 972,06 which was claimed by 1518 household
  • 9.  Notes: In Chris Hani District the Sample indicates that it took an average of 8 years to settle a claim. The sample also indicate that it can take a minimum of 4 years up to a maximum of 14 years to settle a claims  Out of 100% Settled Claims in Chris Hani District 60% of the Claims are Urban Claims whilst 40% of Claims are Rural Claims.  In Chris Hani District 80% of Settled Claims are Cash Settled Claims, 20% of Settled Claims are Combined Settled Claims.  The Sample also indicates that out of the 20% Combined Claims an average of 83,931 ha were settled. The Sample indicates that 100% of Settled Claims are Residential Claims.  The monetary value of the settled claims in Chris Hani District is in an average of R 103 1460,92 , which was claimed by 166 household.
  • 10.   Note: In the Case of O.R. Tambo the Sample indicates that to settle a claim it takes an average of 10 years, whilst it also indicate that it can take up to maximum of 14 years and also a minimum of 6 years.  In O.R.Tambo 100% of Settled claims are Rural Claims, which 80% of the Settled claims are Cash Settlements, 10% of Settled Claims are Land Settlements and 10 % of the Settled Claims are Combine Settlements.  In the 100 of Claimes in O.R. Tambo an average 22 213 853 ha was claimed, out of the 10% Land Claimed 90% land was for residential use 10% for conservation. The monetary value of Settled Claims in O.R.Tambo is an average of R26 014 086, 36. The Total number of Household claimed in O.R. Tambo is an Average of 16166 
  • 11. Cont..  Notes: It took an average of 9 years to settled the claims on the sample. In terms of type of settlement 100% was Cash settlement, The average land sized claimed is not available. The Claimed land was for residential use. The monetary value of the claims is an average of R 582 400,00 which was claimed by 8 Households
  • 12. Challenges and recommendations  Misclassification of Files and Missing Reference numbers  Cooperation of Project Officers  Communication channels  Project Duration