Transcript Document

//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
introduction
The Housing Development Agency (“HDA”) is a national
public development agency that promotes sustainable
communities by making well located and appropriately
planned land and buildings available for the development of
human settlements. The Agency has developed and
deployed an information system which includes municipal
profiles for selected municipalities. The intent of this profile
is to provide guidelines and advice to Provincial Department
of Human Settlements as well as municipalities on efficient
utilization of land and economic government infrastructure
investments in support of integrated human settlements
development.
about the template
The template was compiled for the Housing Development
Agency using a number of different data sources. The 2011
Census information from StatsSA was used extensively to
represent socio-economic information.
The financial profile data was extracted from the
municipalities’ most recent financial statements. The
Integrated Development Plan (IDP), Housing Development
Plan (MHDP) and Spatial Development Framework of each
municipality also provided inputs into the municipal profile.
Where possible, each source of information is quoted as
part of the specific figure, table or chart.
The municipal profile is structured in the following sections:
• Section 1 provides background information on the
municipality, including land use data;
• Section 2 deals with demographic information such as
population growth and income;
• Section 3 provides an economic overview of the
municipality;
• Section 4 investigates the financial status of the
municipality;
• Section 5 gives headline data on the property market in
the municipality;
• Section 6 looks at housing demand and historic delivery
of RDP houses;
• Section 7 displays a land rent analysis;
• Section 8 provides a snapshot of water, sanitation and
electricity delivery;
• Section 9 displays a cost surface analysis;
• Section 10 deals with budget implications of servicing the
housing backlog,
• Section 11 analyse the performance of the planning
function at municipal level.
about //Khara Hais Local Municipality
Source: Municipal Demarcation Board (2013)
//Khara Hais Municipality is located in the Northern
Cape Province (refer to the figure above). In the Nama
language //Khara Hais means ‘the place of trees’ or ‘the
place of the big tree’. This, apparently, refers to a large
tree under which Koranna-leader Klaas Lucas had his
kraal. //Khara Hais is a Local (Category B) Municipality
(NC083) and is located in the ZF Mgcawu District
Municipality (DC8). The ZF Mgcawu District Municipality
is the second largest district in the Northern Cape.
Contact Details:
Postal: Private Bag X6003, Upington, 8800
Physical: Market Street, Upington
Tel: 054 338 7000
Fax: 054 338 7350
Web: www.kharahais.gov.za
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 1
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 1: Background
Land Cover Category
Woodland
Thicket, Bushland, Bush Clumps &
High Fynbos
Shrubland & Low Fynbos
Grassland
Degraded land
Cultivated land
Urban / Builtup : rural cluster
Urban / Built-up : residential
Urban / Built-up : smallholdings
Urban / Built-up : industrial /
transport
Mines and quarries
%
8,94%
38,02%
38,60%
13,73%
0,25%
0,34%
0,00%
0,05%
0,01%
0,04%
0,01%
Source: National Geo-spatial Information (NGI),
National Land Cover 2000 (NLC 2000).
The total extent of //Khara Hais LM
is 2 209 237 hectares.
Almost 38,60% (in terms of geographic
area) of //Khara Hais LM is covered in
Shrubland & Low Fynbos. Another
38,02% of the geographic area is
Thicket, Bushland, Bush Clumps & High
Fynbos
Mining, although a very important
economic industry, consumes only
about 0,01% of the surface area of
//Khara Hais LM.
Source: National Geo-spatial Information (NGI), National Land Cover 2000 (NLC 2000).
//Khara Hais LM has no Tribal / Traditional villages within the
municipal boundary. More than 99,89% of the municipality is
currently vacant/undeveloped.
% population
residing on farms
5,25%
StatsSA -2011
% population
residing in Urban
Areas
Demarcation Board - 2011
94,75%
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 2
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 2: Demographics
population
//Khara Hais LM has a population of 93 493
people (StatsSA, 2011). Although the population
density has increased since 2002, it is still well
below the metro average. In 2011, 0,18% of RSA
population lived in //Khara Hais LM.
Population 1996 - 2020
y = 118.77x2 - 474,866.89x + 474,738,589.72
R² = 1.00
Source: Statistics South Africa, 2011
93,493
77,945
77,189
Year
RSA Population
//Khara Hais LM
%
1996
40 583 573
77 945
0,19%
2001
44 819 778
77 189
0,17%
2011
51 770 560
93 493
0,18%
2020
2018
2016
2014
2012
2010
2008
2006
2004
2002
2000
1998
1996
Growth
//Khara Hais has a LOW POPULATION DENSITY OF
0,04 people per hectare, largely due to 99,89% of the
municipality not being developed.
income
-0,19%
2,11%
1996 to 2001
2001 to 2011
By 2020, the population of //Khara Hais LM is
expected to be 343 198
Households that may qualify for subsidies
based on income - 2001
Household Monthly Income 2011
Number of households
6,000
From 2001 - 2011,
the % people
earning less than
R3500/month
reduced with:
0,47% per annum.
5,000
4,000
3,000
2,000
3,628
13,525
1,000
Less than R 3500/month
R 3 500 - R12 801/Month
0
Households that may qualify for subsidies based
on income - 2011
Monthly income category
Households in //Khara Hais LM are relatively poor
with almost 10,57% earning no income at all. There
has been significant growth in the income bracket
earning between R3 500 and R12 800/month – a
clear signal for rental or gap market housing options.
From 2001 - 2011,
the % people
earning between
R 3500 and R12
801/month grew
at: 8,19% per
annum.
6,600
Less than R 3500/month
12,890
R 3 500 - R12 801/Month
Source: Statistics South Africa, 2011
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 3
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 2: Demographics
level of education
Highest level of education achieved in 2011
Highest level of education 2011
The percentage of
population with no
schooling decreased
between 2001 and
2011 with 8,29%
7: Other
28: Higher Degree (Masters / PhD)
27: Honours degree
26: Bachelors Degree and Post graduate Diploma
25: Bachelors Degree
24: Post Higher Diploma (Masters, Doctoral Diploma)
23: Higher Diploma
22: Diploma with Grade 12 / Std 10
21: Certificate with Grade 12 / Std 10
18: NTC VI / N6
17: NTC V / N5
16: NTC IV / N4
15: NTC III / N3 / NIC / (V) Level 4
12: Grade 12 / Standard 10 / Form 5 / Matric / NTC111
5: Grade 12 / Std 10 / Form 5
20: Diploma with less than Grade 12 / Std 10
19: Certificate with less than Grade 12 / Std 10
14: NTC II / N2 / NIC / (V) Level 3
13: NTC I / N1 / NIC / (V) Level 2
11: Grade 11 / Standard 9 / Form 4
10: Grade 10 / Standard 8 / Form 3
09: Grade 9 / Standard 7 / Form 2 / ABET 4
08: Grade 8 / Standard 6 / Form 1
07: Grade 7 / Standard 5 / ABET 3
06: Grade 6 / Standard 4
05: Grade 5 / Standard 3 / ABET 2
04: Grade 4 / Standard 2
03: Grade 3 / Standard 1 / ABET 1 (Kha Ri Gude,SANLI)
02: Grade 2 / Sub B
01: Grade 1 / Sub A
00: Grade 0
1: No schooling
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
Number of people
Source: Statistics South Africa, 2011
gender distribution
Gender Distribution 1996 - 2011
51.25%
52%
Number of people
50.92%
50.83%
51%
51%
50%
50%
49.17%
49.08%
48.75%
49%
49%
48%
48%
1996
2001
Male
The female gender
constitutes
approximately 50,92%
of the total population.
This trend is unlikely to
observed in mining
towns as the mining
industry is
predominantly male
orientated.
2011
Female
Source: Statistics South Africa, 2011
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 4
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 3: Economics
economic sector & strength
Economic Strength - GVA (R Millions)
Based on constant 2005 prices
Economic strength
Share of GVA
% Share
30%
Share of employment
2011
26.38%
23.34%
2010
2009
20%
2008
10%
2007
0%
2006
2005
2004
0
Economic sector
The dominant economic sector in //Khara Hais LM is Retail,
which contributes to more than 23,34% of the GVA of the
municipality. This industry employs more than 26,38% of
//Khara Hais’s people. All other economic sectors contribute
less than 16% each of the GVA of //Khara Hais LM. Mining
contributes only 2,62% of the municipal GVA
50,000
Metro Average
8%
6%
150,000
//Khara Hais LM
In 2011, //Khara Hais LM contributed to 0,18%
of the National GVA.
Economic Growth Rate
Municipality
Comparison of Economic Growth Rates (2007 2011)
100,000
2008
2009 2010 2011 Average
City of Cape Town
4,0%
-1,1% 3,0% 3,0%
3,1%
Buffalo City LM
3,3%
-1,3% 1,2% 2,1%
2,0%
Nelson Mandela Bay
0,0%
Metro
-4,6% 0,6% 0,6%
-0,2%
4%
Mangaung
4,8%
-0,9% 1,8% 2,4%
2,8%
2%
eThekwini
2,9%
-1,6% 2,1% 2,4%
2,2%
Ekurhuleni
4,1%
-3,5% 3,3% 3,8%
2,7%
City of Johannesburg 5,7%
-1,0% 2,9% 3,8%
3,6%
0%
-2%
2007
2008
2009
2010
-4%
//Khara Hais LM
Metro Average
Northern Cape
National GDP
In 2011, the
unemployment
rate was:
22,1%
2011
City of Tshwane
2,6%
3,1% 3,0% 3,1%
3,7%
//Khara Hais LM
4,3%
-1,1% 1,0% 2,7%
2,5%
Of the 8 metropolitan municipalities in South
Africa, only Buffalo City, Nelson Mandela Bay
and eThekwini exhibit a lower average annual
economic growth rate than //Khara Hais LM.
Source: Statistics South Africa, 2011
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 5
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 4: Financial Status of the
municipality
annual collection rate
95%
RAND/MILLION
has been
collected, the
benchmark is
The payment level of
96,09% resulted in a loss of
R12 million in cash flow
which should have been
utilised in service delivery or
in capital investment.
Annual Collection Rate (2013)
96,09% of all
billed revenue
R 350
R 300
R 250
R 200
R 150
R 100
R 50
R0
Future sustainability and
growth is dependent on a
collection rate of
approximately 95% and a
focused revenue collection
strategy should be
implemented.
2013 (Rand/million)
R 319
Revenue billed
Renevue collected
R 306
Loss in cash flow
R 12
own revenue to total operating revenue
Although 84,19% of the
Municipality’s revenue is
was internally generated in
2013, this has decreased
from 84,95% during 2012,
which indicates an
Total Revenue (excl. Capital grants), R 406
Own revenue, R 342
Operational grants, R 64
increasing dependency
on government grants to
sustain operations.
R0
R 100
R 200
R 300
R 400
R 500
RAND/MILLION
asset turnover
Service revenue to assets employed (asset
turnover) measures whether there is sufficient
investment in economic assets. The benchmark is
20%.
The historic infrastructure base is sufficient to
support the current service delivery demands.
R 1,500
R 1,000
17,31%
20,17%
R 500
The upward trend indicates the municipalities
growth in economic assets thus ensuring excellent
revenue growth.
Infrastructure carrying value
Service charges
R0
2012 (Rand/million) 2013 (Rand/million)
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 6
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 4: Financial status of the
municipality
budget implementation
Indicates to what extent the Municipality is
able to deliver on its planned budget. The
target is 100%
Revenue and expenditure management
91,57% actual expenditure on
capital budget
142,26%
R 1,000,000,000
94,07% actual expenditure on
R 800,000,000
94,07%
operational budget
R 600,000,000
142,26% actual revenue
realised
R 400,000,000
91,57%
R 200,000,000
R0
Capital Expenditure
Operating
Expenditure
Budgeted
Operating Revenue
The consistent realisation of
revenue below the budgeted
revenue over the past three years is
indicative of unrealistic revenue
projections
Actual
Section 5: Property market
Average land value(R/m²) per land use - based on 2013/2014 Valuation Roll
R 11.30
R 0.34
R 439.96
R 245.10
R 645.22
R 0.87
R 44.37
R 116.90
R 96.15
R 312.72
R 0.19
R 5.88
Total Number of Transfers
50
40
30
20
10
0
BELLVUE (UPINGTON)
BLYDEVERD…
DIE RAND…
FLORA PARK…
KEIDEBEES…
LABORIA (UPINGTON)
LEMOENDRAAI…
MIDDELPOS…
MORNING GLORY…
OOSTERVILLE…
PABALLELO C…
PABALLELO E…
PROGRESS (…
ROSENDALE…
ROSENDALE EXT 1…
ROSENDALE EXT 2…
SECTIONAL TITLES…
UPINGTON
UPINGTON
VAALKROEK(…
No of Transfers
60
Highest Transfers
R 14000000
R 12000000
R 10000000
R 8000000
R 6000000
R 4000000
R 2000000
R0
BELLVUE (UPINGTON)
BLYDEVERD…
DIE RAND (UPIINGTON)
FLORA PARK…
KEIDEBEES…
LABORIA (UPINGTON)
LEMOENDRAAI…
MIDDELPOS…
MORNING GLORY…
OOSTERVILLE…
PABALLELO C…
PABALLELO E…
PROGRESS (…
ROSENDALE…
ROSENDALE EXT 1…
ROSENDALE EXT 2…
SECTIONAL TITLES…
UPINGTON
UPINGTON
VAALKROEK(…
Vacant
State Owned
Residential
Public Worship
Public Benefit Organisation
Municipal
Multiple Use
Industrial
Educational
Business
Agriculture
Agricultural Holding
Source: Khara Hais Valuation Roll 2014-2018
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 7
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 6: Housing demand and supply
dwelling type & housing backlog
Dwelling type
234
Other
Housing backlog
Servants quarters/granny…
5,384
4616
727
Backyard shack
House/flat/room in…
2,938
2001
1996
The municipal housing backlog increases
between 1996 and 2001 with 8,51% and with
8,33% between 2001 and 2011.
575
221
Semi-detached house
2,061
2011
61
Informal settlement
Townhouse
59
Cluster house
49
Flat or apartment
447
Traditional dwelling
138
16,087
House
0
5,000
Source: Statistics South Africa, 2011
10,000
15,000
20,000
Households
housing delivery
Annual Delivery of RDP Houses
Number of Residential Buildings Completed
822
900
800
900
700
800
600
700
500
600
400
300
500
118
200
400
262
221
98
3
100
300
0
2007
200
100
2008
2009
2010
2011
2012
Dwelling Houses Smaller than 80 (m2)
0
Dwelling Houses
Completed
2007
2008
Flats & Townhouses
Completed
2009
2010
Dwelling Houses
Smaller than 80 (m2)
2011
2012
Project Name
Number of
units
Cost
Construction of rental stock Rosedale; Jurgenskamp;
Progress & Town Area
250
R 35 000 000
The building plan statistics indicates that 3 RDP
house were built in 2012.
Annual housing delivery target (2012/2017):
(IDP 2013/2014)
Average annual delivery:
(StatsSA Building plans approved 2009-2012)
Current total number of units planned:
(IDP 2013/2014)
Construction of BNG;
Subsidy and alternative
housing (13 000 houses)
13 000
R 396 725 910
Current own fund committed towards
housing development:
(Draft IDP 2014/2015)
2 208
296
13 250
R 431
(mill)
Source: Statistics South Africa, 2011
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 8
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 7: Land Rent Analysis
land rent analysis
The land rent theory is a geographical economic theory that refers to how the price and demand for real estate
change as the distance from the central business district (CBD) increases. It states that different land users will
compete with one another for land close to the city centre.
Average Total Property value –
Residential Properties
Average Total Property value –
Municipal Properties
R 1400
R 1000
Rand/m²
Rand/m²
R 1200
R 800
R 600
R 400
R 200
R0
R 1800
R 1600
R 1400
R 1200
R 1000
R 800
R 600
R 400
R 200
R0
Time in min from CBD
Time in min from CBD
Average Total Property value –
Government Properties
Average Total Property value –
Business Properties
R 700
R 2500
R 2000
R 500
Rand/m²
Rand/m²
R 600
R 400
R 300
R 200
R 100
R 1500
R 1000
R 500
R0
R0
0-5
5-10
Time in min from CBD
R 600
R 60
R 500
R 50
R 300
R 200
R 100
60+
Average Total Property value –
Vacant Properties
Rand/m²
Rand/m²
Average Total Property value –
Agriculture Properties
R 400
10-15 15-20 20-25 25-30
Time in min from CBD
R 40
R 30
R 20
R 10
R0
R0
0-5
Time in min from CBD
5-10
10-15
15-20
20-25
25-30
30-35
Time in min from CBD
Source: Khara Hais Valuation Roll 2014-2018
//Khara Hais LM: Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 9
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 8: Water, sanitation & electricity
water
% Access to Piped Water: 2001-2011
Access to Piped Water: 2011
No access to piped water
100%
No access to piped water
80%
Water on community stand: >200m
from dwelling
Water on community stand: <200m
from dwelling
Water on community
stand: >200m from
dwelling
Water on community
stand: <200m from
dwelling
Water inside yard
60%
Water inside yard
40%
Water inside dwelling
20%
0
4,000
8,000
12,000
16,000
Number of Households
Water inside dwelling
0%
% in 2001
Source: Statistics South Africa, 2011
sanitation
% in 2011
% Sanitation: 2001- 2011
Sanitation 2011
Other
100%
Other
Bucket toilet
80%
Bucket toilet
60%
Pit toilet without
ventilation
Pit toilet without ventilation
Pit toilet with ventilation (VIP)
Chemical toilet
40%
Flush toilet (with septic tank)
Pit toilet with
ventilation (VIP)
Flush toilet (connected to sewerage…
20%
None
Chemical toilet
Sanitation
0
4000
8000
12000
16000
0%
% in 2001
% in 2011
Number of Households
Source: Statistics South Africa, 2011
electricity
% Source of Lighting: 2001- 2011
Source of Lighting 2011
100%
None
80%
None
Solar
Solar
60%
Candles
Candles
Paraffin
40%
Paraffin
Gas
Gas
20%
Electricity
0
5,000
10,000
15,000
Number of Households
20,000
25,000
Electricity
0%
% in 2001
% in 2011
Source: Statistics South Africa, 2011
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 10
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 9: Cost surface analysis
cost surface analysis
To develop land everywhere in the municipality does not necessarily cost the same. Often vacant land is
developed at a cost significantly higher than elsewhere in the municipality. This cost surface map for the
municipality will indicate the premium payable based on certain environmental and geological constraints.
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 11
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 10: Spatial development framework
spatial development framework
Source: //Khara Hais Spatial Development Framework: Volume 2, April 2009
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 12
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 10: Spatial development framework
accessibility analysis -CBD
This map tests housing projects identified in the SDF in terms of how accessible these projects are to the CBD of
the Municipality (essentially a test to see if proposals attempt a “compact city” design).From the map it is clear
that the majority of projects would take longer than 25 minutes to access the CBD of Upington.
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 13
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 10: Spatial development framework
accessibility analysis – active mines
This map tests housing projects identified in the SDF in terms of how accessible these projects are to employment
opportunities. Since mining is the major employer in the municipality, all active mines were used as origins. The
map clearly indicates that a number of SDF residential proposals are located on the periphery of the municipality,
more than 10 minutes away from employment opportunities.
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 14
//KHARA HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 10: Spatial development
framework
budget implications of the SDF
The Housing Demand Data Base/ Housing Needs Register are functional but the municipality still encounters login
problems on a daily basis. Four temporary data capturers were employed to daily upload information on the system.
Provincial government was requested to budget for training of these temporary employees. A lot of technical
problems are encountered with the Housing Needs Register system. Total demand is estimated to be ± 7450.
The current housing backlog for //Khara Hais is approximately 5 384 units.
Budget required to service Total Housing Backlog (at different
densities)
R1,600,000,000
R1,400,000,000
R1,200,000,000
R1,000,000,000
R800,000,000
R600,000,000
R400,000,000
R200,000,000
R0
35
69
140
200
GROSS DENSITY (UNITS/HECTARE
Water
Sewer
Electricity
Roads & Storm water
Top Structures
The annual housing target must be 2 208 units in order to complete the planned projects by 2017.
Budget required to service Annual Housing Target (at different densities)
R700,000,000
R600,000,000
R500,000,000
R400,000,000
R300,000,000
R200,000,000
R100,000,000
R0
35
69
140
200
GROSS DENSITY (UNITS/HECTARE
Water
Sewer
Electricity
Roads & Storm water
Top Structures
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 15
//KHAIS HAIS LOCAL MUNICIPALITY
Municipal Profile
Section 11: Planning practises assessment
summary
The purpose of this practises assessment for the
Town Planning Practices Assessment
municipality was to:
• audit planning capacity within the municipality, as it
relates to;
• land use management capacity;
Statutory Compliance
• spatial planning capacity;
• audit the actual planning systems, tools and
methodologies of the municipality;
Non-statutory Plans/Policies
• long term development strategy;
• spatial development frameworks;
• integrated development plans;
Town Planning Activities
• land use management systems, land use
schemes, zoning schemes or town planning
schemes;
Information Systems
• other policies and frameworks such as
densification policies, nodal plans etc.;
• audit planning governance within the municipality;
Organisational Tactics
• processes used to compile and implement
the plans listed in the previous point;
• audit any software tools, systems and data used in the
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
compilation of the above planning products or in
support of planning governance.
Long
term
Integrated
strategic Development Plan (IDP) Spatial Development Framework
plan
in place
(SDF) in place
Land Use Management Scheme (LUMS) in
place
scope of planning practises
Any requirements to include in future LUS? Elements the LUS is lacking?
Is staff adequately trained to deal with land use management issues?
Linkage with billing systems / LIS to record changes in land use / zoning / tariffs
Adequate number of staff to deal with land use management in the municipality
Information system in place to deal with amendments to the LUMS
Land use data updated annually
Land use data available
LUMS include innovative practises to promote integration between strategic…
"Informality" (this can refer to informal settlements, rural villages, or informal…
Map 3s in place
All development controls reflected in the Scheme Clauses
Scheme Clauses in place
Amendments to the LUMS recorded
LUMS updated on a regular basis
Wall-to-wall land use management scheme in place
Any requirements to include in future SDF? Elements the SDF is lacking?
Staff adequately skilled to deal with SDF
Adequate number of staff to deal with SDF
Include basic guidelines/implications for the LUMS of the municipality
Quantifies current social facilities and number of facilities needed to…
Implementation of urban edge or urban growth boundary
Indicates areas of protection and conservation
SDF defines the linkage and corridors between nodes or settlements
SDF identifies growth areas, nodes and priority investment areas
SDF includes desired spatial form and land use patterns for municipality
SDF a reflection of the current development status in municipality
Any requirements to include in future IDP? Elements the IDP is lacking?
Includes key performance indicators and performance targets.
Includes three year capital budget allocation
Includes Spatial Development Framework (SDF)
Identifies communities which do not have access to basic municipal services
Assesses the existing level of development in the municipality,
Expresses the municipality’s most critical developmental and internal…
Incorporates the long term vision from GDS
Incorporates national and provincial planning directives
Identify long term development objectives
Sets out 20 year(+) vision of the municipality in achieving its development…
75%
80%
85%
90%
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
95%
100%
Page 16
//Khara Hais LOCAL MUNICIPALITY
Municipal Profile
Section 11: Planning practises assessment
planning activities
Development applications
Con
sult
atio
n
This section investigates the legislative requirements of having an IDP, SDF and land use scheme in place. Though not legislated, it also
includes a long term strategic plan (e.g. a growth and development strategy). On the whole it the planning scope of practises in the
municipality can be seen as “competent” . All the requirements of legislation are met.
Internal and external stakeholders consulted
Application finalised within allocated time span
Town planning recommendation formulated
Comments from stakeholders collated
Applications distributed to internal and external stakeholders
Regular site inspections held
Electronic system available to deal with development applications
Up to date amendment scheme register in place
Linkage with valuation roll system to inform supplementary valuations
Processes (including legal) in place to deal with non compliance of building regulations or illegal…
Building Plan Approval
Certificates issued within allocated timespan
Inspections carried out
Application finalised within allocated time span
Recommendation formulated
Comments from stakeholders collated
Applications distributed to internal and external stakeholders
Regular site inspections held
Electronic system available to deal with development applications
Up to date building plan register in place
75%
80%
85%
90%
95%
100%
systems
Land information system
LIS is 'user-friendly' and readily accessible to all staff
Spatial analysis
and modelling
tools
The various planning tools and products at the disposal of a municipally are supported by various information systems. These systems can
be relatively large and complex (e.g. an agent based transport and land use modelling system) or relatively simple (such as an excel spread
sheet calculating the number of social facilities to be provided as for different population scenarios). Information systems can thus be defined
in this particular context as the means by which skilled municipal officials use software and information to support the process of spatial
restructuring.
Models available to measure level of service for social facilities
System stores historical data
System links with LUMS
System links with valuation roll
System links with billing systems
System links with GIS
Models available to quantify need for social facilities
Models available to forecast future land use based on population and economic growth (from GDS)
Models available to forecast population growth (in Support of GDS)
Networking with and participation at district or provincial GIS forums
Partnerships in place to ensure access to provincial and national datasets
GIS strategy in place
GIS
Staff use system and system functionality as appropriate for their role
GIS is 'user-friendly' and readily accessible to all staff
GIS is linked to the LUMS
GIS stores historical data
Cadastral records are accurately described using the Surveyor General standardised 21 digit identifier
GIS can be linked to other systems (Billing, valuation roll, LIS)
Cadastral changes are recorded and updated on a regular basis
0%
10%
20%
30%
40%
50%
60%
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
70%
80%
90%
100%
Page 17
//Khara Hais LOCAL MUNICIPALITY
Municipal Profile
Section 11: Planning practises assessment
organisational tactics
Change control
The organisational tactics, or rather the extent to which the organisation support the Planning function can at best be described as being in
its “awareness” phase. It is largely left up to individuals to up skill themselves or to acquire necessary information required for personal
growth. More interaction with planning role-players are required for the planning function to grow the municipality. This includes access to
information and networking with planners at other municipalities or other spheres of government.
Organisation takes an active role in participating in steering groups/working parties and or preparing
submissions on proposed legislative changes
Organisation informs staff of legislative changes affecting their work
Organisation monitors possible legislative changes or changes in standards that may have an impact
on its operations or policies
Human resources
Is any skills required to ensure detail project proposals (e.g. design framework) is implemented?
Project packaging and implementation?
Is the planning function adequate (capacity, trainining, skills etc) to give effect to proposals from the
SDF / other plans?
Level of Town Planning expertise is appropriate to each job
Staff regularly attend workshops as appropriate to close skill gaps
Strategic alignment
Skill gaps in Town Planning are assessed
Corporate data required for Strategic Planning is easily available and used consistently across the
organisation
Customer KPIs for IDP and Planning function are aligned
Town Planning policies and plans are well aligned and have strong linkages to ensure corporate
objectives are achieved
75%
80%
85%
90%
95%
100%
human resources
Function/Section
Management & other
Planning & Human Settlement
Building Control & Regulations
Development Planning
Housing & Properties
Environmental Management
No. of Posts
No. of employees
Vacancies
3
3
0
6
5
1
3
3
0
8
8
0
4
4
0
//Khara Hais LM : Municipal Profile. Developed by i@Consulting (Pty) Ltd on behalf of the Housing Development Agency - 2014
Page 18