“mismatch between demand & supply of affordable...
TRANSCRIPT
“Mismatch Between Demand & Supply Of
Affordable Housing”
National Property Information Centre (NAPIC)
Valuation & Property Services Department (JPPH)
Ministry of Finance Malaysia (MOF)
01
02
03
Existing supplystood at 5.4 million houses
Incoming supplynearly 0.45 million
Planned supplyat more 0.45 million
Residential Market Inventory (2018)
1
Residential Market – New Launches (2013 – 2017)
Average 48,000 units
2
Residential
Market
Volume & Value of Residential Transaction (Q1 2014- Q1 2018)
5
VO
LU
ME V
AL
UE
Volume & Value of Residential Transaction by Price Range (Q1 2014- Q1 2018)
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VO
LU
ME
VA
LU
E (R
M m
illion
)
Unsold Under Construction 61,266 units3
4
Completions Q1 21,641 units5
Overhang 23,193 unitsRM15.68 billion6
Incoming Supply 453,175 units 1
2
Overall Performance Residential Stock and Status (Q1 2018)
Unsold Not Constructed 14,00 units
Existing Stock 5,489,518 units
Future Supply902,849 units
Planned Supply449,674 units
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Residential Future Supply (Planned Supply & Incoming Supply (Q1 2018)
High-rise buildings continue to dominate the future supply, followed by terrace houses.
vo
lum
e
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Residential Future Supply -Planned Supply + Incoming Supply by State (Q1 2018)
High-rise buildings continue to dominate the future supply, followed by terrace houses.
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Volume
Residential Market Status
2016
14,792 units
2014
8,839 units
2015
10,285 units
2017
24,738 unitsQ1-2018
25,196 units
Types : Flat/condo/Apartment: 10,238 units (40.6%)
Price range : 1. Below RM100k – 7,931 units (31.5%)2. RM300k – RM500k – 7,447 units (29.6%)3. RM500k – RM1 Mil – 6,179 units (24.55)
State : 1. Johor - 5,002 units2. Penang - 4,092 units3. Selangor – 3,765 units
Overhang (Completed)
1.8%Value : RM15.68 bil
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Residential Market Status
Type : 1. Flat/condo/Apartment: 28,761 units (46.9%)2. Terraces : 22,123 units (36.1%)
Price range : 1. Below RM300k – 19,825 units (32.4%)2. RM300k – RM500k – 16,413 units (26.8%)3. RM500k – RM1 Mil – 19,677 units (32.1%)4. > RM1 Mil – 5,351 units (8.7%)
State : 1. Selangor - 11,191 units2. Johor - 10,880 units3. Penang – 8,625 units
Unsold Under Construction
2014 2015 2016 2017 Q1 -2018
40,791 units 49,568 units 64,077 units 61,882 units 61,266 units
-1.0%
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Residential Market Status
Type : 1. Condo/Apartment: 10,449 units (74.6%)2. Terraces : 2,272 units (16.2%)
Price range : 1. Below RM100k – 7,221 units (51.6%)2. RM300k – RM500k – 4,136 units (29.5%)3. RM500k – RM1 Mil – 2,172 units (15.5%)4. > RM1 Mil – 471 units (3.4%)
State : 1.Kuala Lumpur - 8,008 units 2.Sabah – 992 units3.Terengganu – 932 units
Unsold Not Constructed
2014
2016 2017 Q1 -2018
8,372 units 8,032 units 11,622 units 12,626 units 14,000 units
10.9%
2015 2016 2017 Q1 -2018
1
Affordable Housing Issues
(Demand And Supply
Mismatch)
Affordable Housing
Demand And Supply
● 77.3% of transaction is below RM500k and 52.5% is below RM300k (on par with
national affordability level of median household).
● Therefore, we will assume affordable housing will fall in this price range.
● This presentation will now onwards focus on below RM500k price range.
2016 - Q1 2018
• Overall market preference slated towards Terraced and Condominium/Apartment
2016 - Q1 2018
PERCENTAGE OF TRANSACTION BY PROPERTY TYPE AND
PRICE RANGE
Generally, 1- storey terraced house between RM100k-RM300k is the most
transacted in Malaysia
2016 - Q1 2018
Affordable House Price for Median Income Household by Income
Group
Malaysians are categorised into three different income groups:
Top 20% (T20), Middle 40% (M40), and Bottom 40% (B40). Over the years, the bar for
each group’s income level has increased and this is one of the indicators of economic
growth.
Here’s the affordability to buy houses according the income group:
Househo
ld Group
Media
n
Income
2016
(RM)
Percentage
of monthly
income for
housing loan
repayment
Monthly
Loan
Repayme
nt (RM)
Mont
hs
Per
Year
Yearly Loan
Repayment
(RM)
Loan
Term
(Year)
Total Loan
Payment
(RM)
House
Value
Afforded
(interest
@4.5% per
year)
T20 13,148 30% 3,944 12 47,333 35 1,656,648 643,358
M40 6,275 30% 1,883 12 22,590 35 813,240 307,049
B40 3,000 30% 900 12 10,800 35 378,000 146,796
Affordable House Price for Median Income Household by Selective
District
Source by DOSM Calculated by NAPICEven in the same State, the household income differ. Hence,
different affordable house price range needed between big cities
and small cities.
Differences Between
Demand and Supply For
Affordable Housing
REFERENCE:
DEMAND:
BASED ON NUMBER OF TRANSACTIONS IN 2016-Q1 2018 (PRIMARY & SECONDARY)
TRANSACTION)
SUPPLY:
BASED ON (NO. OF UNITS LAUNCHED IN 2016-Q1 2018 (PRIMARY ONLY)
NOTE: THE DIFFERENCES ARE TO SHOW THE TRENDS OF DEMAND AND SUPPLY
DIFFERENCES BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN (Sec. 1-100) KUALA LUMPUR TOWN
MISMATCH
2016 - Q1 2018
DIFFERENCES BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN MUKIM KUALA LUMPUR
MISMATCH
2016 - Q1 2018
DIFFERENCES BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN MUKIM PETALING, KUALA LUMPUR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
PETALING, SELANGOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN HULU LANGAT, SELANGOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
GOMBAK, SELANGOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN SEREMBAN, NEGERI SEMBILAN
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
PORT DICKSON, NEGERI SEMBILAN
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
JOHOR BAHRU, JOHOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN KULAIJAYA, JOHOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
MUAR, JOHOR
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
MELAKA TENGAH, MELAKA
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN
ALOR GAJAH, MELAKA
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN DAERAH
TIMUR LAUT, PULAU PINANG
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN DAERAH TENGAH, PULAU PINANG
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN KOTA
SETAR, KEDAH
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN KUALA MUDA, KEDAH
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN KOTA BHARU, KELANTAN
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF
LAUNCHES) IN KUALA TERENGGANU, TERENGGANU
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN KUALA
TERENGGANU, TERENGGANU
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES) IN KUALA
SANDAKAN, SABAH
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN KUCHING, SARAWAK
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN MIRI, SARAWAK
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN SIBU, SARAWAK
MISMATCH
2016 - Q1 2018
DIFFERENCE BETWEEN DEMAND (TRANSACTIONS) AND SUPPLY (NO. OF LAUNCHES)
IN SIBU, SARAWAK
MISMATCH
2016 - Q1 2018
ConclusionRecommendations● Prices of land is beyond government control. It was based on
demand and supply. But, Federal and State authorities could help by reducing or waiving land premium or development charges, provide facilitation fund or provide land for affordable housing projects.
● Government funded agency should be helped by the state government to obtain better location land and a better infractructure (by pass to nearest highway) and frequent public transportation for projects further from working area.
● Industrialised Building System (IBS) could be a way to lower the cost of construction. Government should support by funding R&Dto suit it for local preferences.
Conclusion...continueRecommendations● As for suppliers or vendor, they could play a part by reducing their
transportation charges to reduce the construction cost.
● Projects with affordable housing elements should be given approval priority by state governments. State government should monitor the approvals according to the market demand in order to avoid oversupply. Hence, they need to have their own database.
● Every state should implement 40% of approvals in a year should comprise affordable housing based on affordability in specific area.
● More incentives or tax relieves for those developers that build more than 30% affordable housing in a year.
Conclusion...continueRecommendations● NAPIC publications is based on the feedback by the stakeholders
(developers, property managers, local authority and etc). Lack of cooperation from stakeholders (data providers) is the main challenges faced by NAPIC data collector in order to report more precise reporting.
● Maximize the usage of the data provided in the report. Join study with other agencies reporting such as DOSM is needed for a more thorough and precise feasiblity study. Maximize profit by meeting the correct demand, not by selling the highest price and when can’t achieve selling target, build low quality houses or worse, abandoned.
Conclusion...continue
Recommendations● Malaysia already have existing centralised Property Data
Warehouse which called Property Information System Malaysia(PRISM). napic.jpph.gov.my
● A join online system between JPN and NAPIC for a single platform property data collection is underway, currently called Sistem Perumahan Negara. Expected to operate in 2019.
Thank You