INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE … · INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE...

Jan 2017 - Mac 2017 Q1P 2017

INDEKS HARGA RUMAH MALAYSIAMALAYSIAN HOUSE PRICE INDEX

Jabatan Penilaian dan Perkhidmatan HartaKementerian Kewangan MalaysiaAras 7, Perbendaharaan 2,No.7, Persiaran Perdana, Presint 262592 PUTRAJAYA

P - Preliminary

No. Tel.: 03-8886 9000No. Faks : 03-8886 9007

Laman Web: www.jpph.gov.my

The Malaysian House Price Index 3

INTRODUCTION

MHPI was first released in 1997 with 1990 as the base year. In 2003, MHPI was first reviewed and the base year was updated to 2000. Beginning Q1 2017, MHPI has been revised and the revision begins with the first quarter 2010 data. The base year has been updated from 2000 to 2010.

The key concepts in the construction of MHPI since its inception in 1997 remain unchanged. It is a transaction - based house price index intended to estimate the changes in prices of representative house over time. The full description of the methodology is given in “The Malaysian House Price Index : Explanatory Notes”.

THE NEED FOR NEW REBASE

The rebasing is deemed necessary as property market landscape changes over time. The changing trend in market preferences, house types and geographical locations are considered in the new rebase exercise. This is to ensure that MHPI continues to provide an accurate, reliable and credible measures in the index construction. The changes made for the 2010 rebase are as follows :-

a. New Weightage

The weights for the index computation are determined for each house type, housing neighbourhood, district, and state in accordance to the volume of residential transactions in the year 2010. The new weights in percentages are as shown in Table 1 and Table 2.

Table 1: Weights used in calculating the Malaysian All House Price Index (%)( Comparative Table on Weightage for Base Year 2000 and 2010 )

StateTerraced High-Rise Detached Semi-Detached Total

Base Year Base Year Base Year Base Year Base Year2000 2010 2000 2010 2000 2010 2000 2010 2000 2010

Kuala Lumpur 2.4 2.9 2.4 6.9 0.3 0.4 0.2 0.3 5.3 10.6Selangor 14.9 18.4 2.5 8.8 0.7 1.8 0.9 1.6 19.0 30.5Johor 12.9 10.7 0.5 1.2 0.5 0.6 0.8 1.3 14.7 13.7Pulau Pinang 3.6 3.5 4.8 5.3 0.3 0.4 0.7 1.0 9.4 10.1Negeri Sembilan 6.3 3.3 0.2 0.4 0.4 0.6 0.7 0.4 7.6 4.6Perak 11.1 6.3 0.0 0.0 1.3 1.3 1.3 0.8 13.7 8.5Melaka 3.8 2.3 0.3 0.5 0.1 0.2 0.2 0.3 4.4 3.2Kedah 7.6 3.1 0.0 0.0 0.2 0.2 2.1 1.2 9.9 4.6Pahang 3.7 2.2 0.0 0.0 0.7 0.6 0.6 0.3 5.0 3.1Terengganu 0.8 0.5 0.0 0.0 0.3 0.4 0.2 0.3 1.3 1.3Kelantan 0.2 0.2 0.0 0.0 0.1 0.2 0.1 0.0 0.4 0.4Perlis 0.7 0.3 0.0 0.0 0.0 0.0 0.1 0.1 0.8 0.4Sabah 1.2 1.3 0.3 1.2 0.2 0.2 0.5 0.4 2.2 3.2Sarawak 3.1 3.0 0.0 0.0 0.7 0.8 2.5 2.0 6.3 5.8MALAYSIA 72.3 58.0 11.0 24.2 5.8 7.7 10.9 10.0 100 100

TECHNICAL NOTES

REBASING OF MHPI TO BASE YEAR 2010

4 Indeks Harga Rumah Malaysia

Table 2 : Weights used in calculating the All House Price Index by State (%)(Comparative Table on Weightage for Base Year 2000 and 2010)

StateTerraced High-Rise Detached Semi-Detached Total

Base Year Base Year Base Year Base Year Base Year2000 2010 2000 2010 2000 2010 2000 2010 2000 2010

Kuala Lumpur 49.3 27.8 42.6 65.1 5.0 4.0 3.1 3.1 100.0Selangor 79.1 60.2 12.9 28.9 3.5 5.8 4.5 5.1 100.0Johor 88.0 77.9 3.5 8.5 3.3 4.2 5.2 9.4 100.0Pulau Pinang 38.0 34.2 50.7 52.2 2.9 3.6 8.4 9.9 100.0Negeri Sembilan 83.0 70.7 2.8 7.8 5.5 13.0 8.7 8.5 100.0Perak 81.6 74.1 0.0 0.0 9.3 15.9 9.1 9.9 100.0Melaka 86.4 70.4 6.4 15.9 2.0 4.9 5.2 8.8 100.0Kedah 76.5 68.9 0.0 0.0 2.1 5.4 21.4 25.7 100.0Pahang 74.4 71.9 0.0 0.0 13.3 18.4 12.3 9.8 100.0Terengganu 62.8 41.3 0.0 0.0 20.9 33.0 16.3 25.6 100.0Kelantan 50.5 39.7 0.0 0.0 29.5 51.8 20.0 8.5 100.0Perlis 85.3 82.1 0.0 0.0 0.0 0.0 14.7 17.9 100.0Sabah 53.5 42.0 14.0 38.4 10.1 6.8 22.4 12.9 100.0Sarawak 49.2 51.7 0.0 0.0 11.1 13.5 39.7 34.8 100.0

b. Addition of new regions and exclusion of existing regions

There is an addition of six new regions for terrace, two in Selangor (Kuala Selangor and Sepang), three in Johor (Johor Bahru, Kulai Jaya and Kota Tinggi / Pontian) and one in Perak (Larut Matang), which makes up a total of 123 series of quarterly and 123 series of annual house price indices. The extension of coverage in these states reflects the market activity density of the new regions. Johor Bahru - Kota Tinggi - Pontian region in base year 2000 has been separated into a stand alone Johor Bahru region and Kota Tinggi - Pontian region. The separation denotes the maturity of Johor Bahru market, which is now able to support its own indices.

In Perak, Kuala Kangsar region has been replaced by Larut Matang as the latter region offers larger market coverage and more transaction activity compared to the former region. In Sabah, Kota Kinabalu / Penampang region is now a stand alone Kota Kinabalu region with the exclusion of Penampang due to its insignificant market activity.

The additional regions are as shown in Table 3 and the index series are as shown in Table 4.


Table 3: Comparative Table on Regions for Base Year 2000 and 2010

State Base Year 2000 Base Year 2010Kuala Lumpur Kuala Lumpur Central

Kuala Lumpur NorthKuala Lumpur South

Kuala Lumpur CentralKuala Lumpur NorthKuala Lumpur South

Selangor Petaling, Klang, Gombak, Hulu Langat

Petaling, Klang, Gombak, Hulu Langat, Kuala Selangor**Sepang**

Johor Johor Bahru – Kota Tinggi – Pontian, Batu Pahat,Muar, Kluang, Segamat

Johor Bahru* Batu Pahat,Muar, Kluang,Segamat, Kulaijaya**Kota Tinggi / Pontian*

Pulau Pinang Pulau Pinang (Island), Seberang Perai

Pulau Pinang (Island), Seberang Perai

Negeri Sembilan Seremban, Port Dickson, Tampin & Others

Seremban, Port Dickson, Tampin & Others

Perak Kinta, Manjung, Batang Padang, Hilir Perak, Kuala Kangsar

Kinta, Manjung, Batang Padang, Hilir Perak, Larut Matang*

Melaka Melaka Tengah, Alor Gajah-Jasin

Melaka Tengah, Alor Gajah-Jasin

Kedah Kota Setar, Kuala Muda, Kubang Pasu, Kulim

Kota Setar, Kuala Muda, Kubang Pasu, Kulim

Pahang Kuantan, Temerloh, Bentong, Jerantut- Lipis-Raub

Kuantan, Temerloh, Bentong, Jerantut- Lipis-Raub

Terengganu Kuala Terengganu, Kemaman

Kuala Terengganu, Kemaman

KelantanPerlis

Sabah Kota Kinabalu / PenampangSandakan, Tawau

Kota Kinabalu,*Sandakan, Tawau

Sarawak Kuching, Miri, Sibu

Kuching, Miri, Sibu

Notes : * denotes the new regions ** extension of coverage


Table 4 : Number of House Price Index Series (Comparative Table on Number of House Price Index Series For Base Year 2000 and 2010)

Base Year 2000 2010Quarterly Annually Quarterly Annually

District / Regional House Price IndexTerraced House 40 40 46 46High-Rise Unit 7 7 7 7

Semi-Detached House 3 3 3 3

State Level House Price IndexTerraced House 14 14 14 14

High-Rise Unit 7 7 7 7Detached House 13 13 13 13Semi-Detached House 14 14 14 14

All House 14 14 14 14National LevelTerraced House 1 1 1 1High-Rise Unit 1 1 1 1Detached House 1 1 1 1Semi-Detached House 1 1 1 1All House 1 1 1 1TOTAL 117 117 123 123

c. Additional Price Models

The revised MHPI saw 86 price models being constructed. There are 46 models for terraced houses, 11 models for high-rise units, 13 models for detached houses and 16 models for semi-detached houses. The distribution of the 86 models by state, district/regions and house types are as shown in Table 5.

Table 5: Number of Models by State and House Types

StateTerraced High-Rise Semi-Detached Detached

TotalDistrict/Region

State District/Region



State

Kuala Lumpur 3 0 3 0 0 1 0 1 8

Selangor 6 0 2 0 0 1 0 1 10Johor 7 0 0 1 0 1 0 1 10Pulau Pinang 2 0 2 0 0 1 0 1 6Negeri Sembilan 3 0 0 1 0 1 0 1 6Perak 5 0 0 0 0 1 0 1 7Melaka 2 0 0 1 0 1 0 1 5Kedah 4 0 0 0 3 0 0 1 8Pahang 4 0 0 0 0 1 0 1 6Terengganu 2 0 0 0 0 1 0 1 4Kelantan 0 1 0 0 0 1 0 1 3Perlis 0 1 0 0 0 1 0 0 2Sabah 3 0 0 1 0 1 0 1 6Sarawak 3 0 0 0 0 1 0 1 5TOTAL 44 2 7 4 3 13 0 13 86


The Malaysian House Price Index

Indeks Harga Rumah Malaysia pada Q1P 2017 meningkat sebanyak 5.3% berbanding Q1 2016.

The Malaysian House Price Index increased by 5.3% in Q1P 2017 relative to Q1 2016.

Jadual Perubahan IHRM dan Harga Semua Rumah Tahunan 2009 - Q1P 2017Table I. MHPI and All House Price Annual Change 2009 - Q1P 2017

Index

2010=100

Change

Over 12 Months (%)

All House Price

(RM)

2009 Q1 - Q4 Q1 Q2 Q3 Q4

94.8 92.4 94.3 95.6 96.7

-----

204,470 199,431 203,511 206,268 208,670

2010 Q1 - Q4 Q1 Q2 Q3 Q4

100.0 97.2100.4102.0104.3

5.5 5.2 6.5 6.7 7.9

215,678 209,763 216,561 220,154 224,952

2011 Q1 - Q4 Q1 Q2 Q3 Q4

110.9 106.4109.2112.0116.0

10.9 9.5 8.8 9.811.2

239,295 229,561 235,706 241,626 250,289

2012 Q1 - Q4 Q1 Q2 Q3 Q4

125.8 119.9123.9126.8132.6

13.412.713.513.214.3

271,384 258,614 267,359 273,552 286,011

2013 Q1 - Q4 Q1 Q2 Q3 Q4

140.0 133.1138.1143.6145.0

11.211.011.513.2 9.4

301,964 287,181 297,885 309,849 312,940

2014 Q1 - Q4 Q1 Q2 Q3 Q4

153.2 146.7152.0156.3157.6

9.410.210.1 8.8 8.7

330,428 316,415 327,900 337,307 340,089

2015 Q1 - Q4 Q1 Q2 Q3 Q4

164.5 160.2162.8167.1167.8

7.4 9.2 7.1 6.9 6.5

354,741 345,541 351,149 360,338 361,934

2016 Q1 - Q4 Q1 Q2 Q3 Q4

176.1 171.8174.4178.5179.5

7.1 7.2 7.1 6.9 7.0

379,843 370,667 376,247 385,201 387,258

2017 Q1 - Q4 Q1P 180.9 5.3

390,386

P - Preliminary


All Terraced High-Rise Detached Semi- House Detached Weight (2010 =100) 100.0 58.0 24.2 7.7 10.0 Index 1-Yr % Change Annual (1990 = 100) 1988 92.2 93.4 78.1 97.1 95.6 1989 96.1 4.3 95.0 1.8 92.6 18.6 98.7 1.7 96.2 0.7 1990 100.0 4.1 100.0 5.3 100.0 8.0 100.0 1.4 100.0 4.0 1991 125.5 25.5 113.5 13.5 107.2 7.2 114.3 14.3 110.0 10.0 1992 140.7 12.2 123.5 8.9 107.3 0.1 125.8 10.1 118.2 7.5 1993 147.5 4.9 128.9 4.4 105.8 -1.4 135.2 7.5 122.1 3.3 1994 159.3 8.0 140.1 8.7 112.2 6.1 148.7 10.0 130.0 6.5 1995 188.5 18.4 158.4 13.1 116.9 4.2 172.0 15.7 142.7 9.8 1996 212.8 12.9 174.5 10.2 115.7 -1.1 196.2 14.1 154.2 8.1 1997 216.8 1.9 192.0 10.1 110.2 -4.8 204.6 4.3 158.6 2.9 1998 196.4 -9.5 182.7 -4.9 103.4 -6.2 176.7 -13.7 145.7 -8.2 1999 191.8 -2.4 176.4 -3.5 99.6 -3.7 164.9 -6.7 139.3 -4.4

Annual (2000 = 100) 1999 94.3 93.7 98.1 95.0 94.1 2000 100.0 6.0 100.0 6.7 100.0 1.9 100.0 5.3 100.0 6.3 2001 101.1 1.1 100.0 0.0 102.8 2.8 104.6 4.6 102.6 2.6 2002 103.6 2.5 104.7 4.7 96.7 -5.9 105.4 0.8 102.0 -0.6 2003 107.7 4.0 107.7 2.9 111.3 15.1 106.8 1.3 106.1 4.0 2004 112.9 4.8 111.7 3.7 113.0 1.5 116.1 8.7 115.8 9.1 2005 115.6 2.4 114.0 2.1 114.1 1.0 120.9 4.1 119.9 3.5 2006 117.8 1.9 115.8 1.6 115.5 1.2 128.3 6.1 121.4 1.3 2007 124.0 5.3 121.1 3.9 118.8 2.9 137.5 7.2 130.3 7.2 2008 129.8 4.7 127.2 4.9 121.7 2.4 146.1 6.3 135.8 4.1 2009 131.8 1.5 129.7 2.0 123.4 1.4 142.8 -2.3 138.6 2.1

Annual (2010 = 100) 2009 94.8 95.1 93.8 95.3 94.6 2010 100.0 5.5 100.0 5.2 100.0 6.6 100.0 4.9 100.0 5.7 2011 110.9 10.9 112.0 12.0 111.7 11.7 105.2 5.2 111.5 11.5 2012 125.8 13.4 126.7 13.1 129.6 16.0 118.8 12.9 124.2 11.5 2013 140.0 11.2 138.5 9.3 147.2 13.6 135.2 13.8 139.3 12.2 2014 153.2 9.4 153.2 10.6 160.9 9.3 148.0 9.5 148.0 6.2 2015 164.5 7.4 163.8 6.9 173.3 7.7 157.4 6.4 157.9 6.7 2016 176.1 7.1 176.0 7.4 189.0 9.0 168.2 6.8 165.4 4.8 Quarterly (2010 = 100) 2009 Q1 92.4 92.7 90.8 92.5 93.5 Q2 94.3 94.8 92.4 95.4 94.5 Q3 95.6 96.7 93.5 95.5 95.0 Q4 96.7 96.2 98.4 97.8 95.5 2010 Q1 97.2 5.2 96.4 4.0 97.0 6.8 98.0 5.9 99.2 6.1 Q2 100.4 6.5 102.1 7.7 99.5 7.7 96.2 0.8 99.7 5.5 Q3 102.0 6.7 103.0 6.5 101.4 8.4 100.5 5.2 101.3 6.6 Q4 104.3 7.9 104.3 8.4 104.6 6.3 104.3 6.6 103.7 8.6 2011 Q1 106.4 9.5 107.4 11.4 106.6 9.9 102.5 4.6 106.3 7.2 Q2 109.2 8.8 110.7 8.4 109.0 9.5 105.2 9.4 108.6 8.9 Q3 112.0 9.8 113.5 10.2 112.3 10.7 105.8 5.3 112.2 10.8 Q4 116.0 11.2 116.2 11.4 118.9 13.7 107.3 2.9 118.7 14.5 2012 Q1 119.9 12.7 120.4 12.1 122.5 14.9 113.6 10.8 120.0 12.9 Q2 123.9 13.5 124.6 12.6 127.9 17.3 118.4 12.5 121.6 12.0 Q3 126.8 13.2 129.3 13.9 131.2 16.8 118.1 11.6 121.2 8.0 Q4 132.6 14.3 132.3 13.9 136.9 15.1 125.0 16.5 134.1 13.0 2013 Q1 133.1 11.0 131.7 9.4 141.4 15.4 125.9 10.8 133.0 10.8 Q2 138.1 11.5 136.2 9.3 145.0 13.4 132.3 11.7 139.6 14.8 Q3 143.6 13.2 141.7 9.6 151.3 15.3 139.9 18.5 142.7 17.7 Q4 145.0 9.4 144.3 9.1 151.1 10.4 142.5 14.0 142.0 5.9 2014 Q1 146.7 10.2 145.4 10.4 155.3 9.8 142.5 13.2 143.3 7.7 Q2 152.0 10.1 152.4 11.9 159.4 9.9 147.3 11.3 145.6 4.3 Q3 156.3 8.8 156.7 10.6 165.0 9.1 149.8 7.1 150.2 5.3 Q4 157.6 8.7 158.2 9.6 163.8 8.4 152.4 6.9 152.7 7.5 2015 Q1 160.2 9.2 158.3 8.9 167.4 7.8 154.2 8.2 154.6 7.9 Q2 162.8 7.1 161.7 6.1 171.3 7.5 154.8 5.1 157.0 7.8 Q3 167.1 6.9 167.0 6.6 176.4 6.9 161.0 7.5 159.3 6.1 Q4 167.8 6.5 168.2 6.3 178.2 8.8 159.6 4.7 160.6 5.2 2016 Q1 171.8 7.2 170.4 7.6 182.9 9.3 165.5 7.3 161.8 4.7 Q2 174.4 7.1 174.8 8.1 187.0 9.2 168.3 8.7 162.9 3.8 Q3 178.5 6.9 178.6 6.9 191.4 8.5 170.6 6.0 168.0 5.5 Q4 179.5 7.0 180.0 7.0 194.6 9.2 168.2 5.4 168.9 5.2 2017 Q1P 180.9 5.3 181.1 6.3 196.1 7.2 172.0 3.9 169.5 4.8

P - Preliminary

1.0 Indeks Harga Rumah Malaysia Mengikut Jenis Rumah The Malaysian House Price Index by House Type


All Terraced High-Rise Detached Semi- House Detached Weight (2010 =100) 100.0 58.0 24.2 7.7 10.0 Price Quarterly % (RM) Change

Annual (2010 = 100) 2009 204,470 176,413 161,863 364,424 354,540 2010 215,678 185,505 172,651 382,512 374,697 2011 239,295 207,702 192,852 402,124 417,563 2012 271,384 234,934 223,735 454,186 465,612 2013 301,964 256,910 254,115 516,750 522,062 2014 330,428 284,136 277,729 565,869 554,402 2015 354,741 303,826 299,182 601,785 591,575 2016 379,843 326,445 326,204 642,775 619,767

Quarterly (2010 = 100) 2009 Q1 199,431 172,036 156,670 353,710 350,410 Q2 203,511 2.0 175,808 2.2 159,517 1.8 364,794 3.1 354,098 1.1 Q3 206,268 1.4 179,409 2.0 161,469 1.2 365,154 0.1 355,874 0.5 Q4 208,670 1.2 178,402 -0.6 169,793 5.2 374,039 2.4 357,777 0.5 2010 Q1 209,763 0.5 178,880 0.3 167,479 -1.4 374,696 0.2 371,556 3.9 Q2 216,561 3.2 189,412 5.9 171,798 2.6 367,983 -1.8 373,479 0.5 Q3 220,154 1.7 191,055 0.9 174,984 1.9 384,411 4.5 379,579 1.6 Q4 224,952 2.2 193,481 1.3 180,593 3.2 398,960 3.8 388,561 2.4 2011 Q1 229,561 2.0 199,318 3.0 184,030 1.9 391,737 -1.8 398,144 2.5 Q2 235,706 2.7 205,378 3.0 188,141 2.2 402,109 2.6 406,799 2.2 Q3 241,626 2.5 210,482 2.5 193,905 3.1 404,527 0.6 420,531 3.4 Q4 250,289 3.6 215,631 2.4 205,332 5.9 410,123 1.4 444,779 5.8 2012 Q1 258,614 3.3 223,425 3.6 211,391 3.0 434,512 5.9 449,719 1.1 Q2 267,359 3.4 231,139 3.5 220,731 4.4 452,515 4.1 455,812 1.4 Q3 273,552 2.3 239,812 3.8 226,445 2.6 451,654 -0.2 454,276 -0.3 Q4 286,011 4.6 245,359 2.3 236,374 4.4 478,062 5.8 502,642 10.6 2013 Q1 287,181 0.4 244,300 -0.4 244,140 3.3 481,197 0.7 498,195 -0.9 Q2 297,885 3.7 252,729 3.5 250,249 2.5 505,848 5.1 523,254 5.0 Q3 309,849 4.0 262,925 4.0 261,194 4.4 535,070 5.8 534,875 2.2 Q4 312,940 1.0 267,687 1.8 260,876 -0.1 544,884 1.8 531,925 -0.6 2014 Q1 316,415 1.1 269,683 0.7 268,111 2.8 544,657 0.0 537,109 1.0 Q2 327,900 3.6 282,752 4.8 275,184 2.6 563,131 3.4 545,448 1.6 Q3 337,307 2.9 290,619 2.8 284,869 3.5 572,895 1.7 562,790 3.2 Q4 340,089 0.8 293,488 1.0 282,751 -0.7 582,794 1.7 572,262 1.7 2015 Q1 345,541 1.6 293,572 0.0 288,996 2.2 589,698 1.2 579,384 1.2 Q2 351,149 1.6 300,062 2.2 295,723 2.3 591,866 0.4 588,157 1.5 Q3 360,338 2.6 309,722 3.2 304,449 3.0 615,422 4.0 596,904 1.5 Q4 361,934 0.4 311,948 0.7 307,559 1.0 610,156 -0.9 601,855 0.8 2016 Q1 370,667 2.4 316,104 1.3 315,650 2.6 632,607 3.7 606,321 0.7 Q2 376,247 1.5 324,354 2.6 322,787 2.3 643,330 1.7 610,398 0.7 Q3 385,201 2.4 331,363 2.2 330,461 2.4 652,089 1.4 629,636 3.2 Q4 387,258 0.5 333,961 0.8 335,917 1.7 643,074 -1.4 632,713 0.5 2017 Q1P 390,386 0.8 335,943 0.6 338,486 0.8 657,557 2.3 635,224 0.4

P - Preliminary

1.01 Harga Purata Rumah Malaysia Mengikut Jenis Rumah The Malaysian Average House Price by House Type


Kuala Lumpur

All Terraced High-Rise Detached Semi- House Detached Weight (2010 =100) 100.0 27.8 65.1 4.0 3.1

Index 1-Yr % Change Annual (2010 = 100) 2009 91.9 94.8 90.6 91.0 91.4 2010 100.0 8.8 100.0 5.5 100.0 10.4 100.0 9.9 100.0 9.4 2011 112.5 12.5 119.0 19.0 113.2 13.2 99.6 -0.4 114.4 14.4 2012 128.0 13.8 132.6 11.4 131.7 16.4 115.2 15.7 129.8 13.5 2013 146.1 14.1 148.8 12.3 149.4 13.5 144.5 25.4 138.9 7.0 2014 159.4 9.1 165.6 11.3 161.9 8.3 153.5 6.2 143.7 3.5 2015 171.1 7.3 180.4 8.9 174.6 7.9 163.9 6.8 151.1 5.2 2016 184.4 7.8 194.8 8.0 190.0 8.8 176.0 7.4 160.8 6.4

Quarterly (2010 = 100) 2009 Q1 88.8 92.6 87.8 86.1 88.5 Q2 90.9 92.4 89.4 91.5 91.0 Q3 92.9 96.4 90.8 93.0 92.1 Q4 95.0 97.9 94.4 93.4 94.0 2010 Q1 95.6 7.7 93.9 1.4 92.1 4.9 99.7 15.8 103.9 17.4 Q2 99.5 9.5 104.3 12.9 99.6 11.4 92.0 0.5 102.6 12.7 Q3 100.9 8.6 102.2 6.0 102.2 12.6 111.8 20.2 102.0 10.7 Q4 103.4 8.8 103.6 5.8 103.7 9.9 97.6 4.5 109.8 16.8 2011 Q1 105.9 10.8 107.1 14.1 104.8 13.8 98.1 -1.6 105.8 1.8 Q2 111.6 12.2 120.0 15.1 110.9 11.3 99.8 8.5 110.9 8.1 Q3 114.4 13.4 122.8 20.2 115.6 13.1 103.4 -7.5 110.9 8.7 Q4 118.0 14.1 125.9 21.5 121.4 17.1 96.9 -0.7 129.8 18.2 2012 Q1 124.7 17.8 125.9 17.6 128.7 22.8 110.3 12.4 136.7 29.2 Q2 122.6 9.9 126.9 5.8 128.1 15.5 110.2 10.4 117.3 5.8 Q3 125.9 10.1 132.8 8.1 130.4 12.8 117.8 13.9 109.5 -1.3 Q4 138.8 17.6 144.6 14.9 139.5 14.9 122.6 26.5 155.6 19.9 2013 Q1 139.7 12.0 139.8 11.0 143.9 11.8 137.7 24.8 128.2 -6.2 Q2 142.5 16.2 142.5 12.3 148.1 15.6 151.8 37.8 136.7 16.5 Q3 149.8 19.0 154.5 16.3 152.9 17.3 142.4 20.9 142.8 30.4 Q4 152.2 9.7 158.4 9.5 152.8 9.5 146.1 19.2 147.7 -5.1 2014 Q1 152.5 9.2 157.9 12.9 155.1 7.8 146.5 6.4 142.8 11.4 Q2 157.6 10.6 164.1 15.2 159.5 7.7 153.9 1.4 143.0 4.6 Q3 163.6 9.2 169.2 9.5 165.9 8.5 156.1 9.6 141.5 -0.9 Q4 163.8 7.6 171.1 8.0 167.1 9.4 157.5 7.8 147.4 -0.2 2015 Q1 166.8 9.4 175.8 11.3 169.7 9.4 158.8 8.4 150.4 5.3 Q2 167.9 6.5 178.7 8.9 172.3 8.0 156.8 1.9 149.0 4.2 Q3 174.2 6.5 182.6 7.9 177.2 6.8 169.6 8.6 152.4 7.7 Q4 175.3 7.0 184.4 7.8 179.3 7.3 170.4 8.2 152.7 3.6 2016 Q1 177.4 6.4 188.8 7.4 182.8 7.7 173.9 9.5 155.2 3.2 Q2 183.3 9.2 192.5 7.7 188.5 9.4 174.9 11.5 159.4 7.0 Q3 188.2 8.0 196.9 7.8 192.9 8.9 181.8 7.2 163.3 7.2 Q4 188.7 7.6 200.9 8.9 195.7 9.1 173.2 1.6 165.3 8.3 2017 Q1P 191.5 7.9 203.1 7.6 196.7 7.6 180.3 3.7 167.3 7.8

P - Preliminary

2. 0 Indeks Harga Rumah Kuala Lumpur Mengikut Jenis Rumah Kuala Lumpur House Price Index by House Type



P - Preliminary

2.01 Harga Purata Rumah Kuala Lumpur Mengikut Jenis Rumah Kuala Lumpur Average House Price by House Type

Annual (2010 = 100) 2009 364,924 358,224 221,697 2,033,383 1,285,094 2010 397,013 377,667 244,773 2,235,456 1,405,440 2011 446,596 449,250 276,907 2,223,895 1,607,732 2012 508,243 500,472 322,187 2,574,842 1,824,886 2013 579,992 561,917 365,643 3,229,201 1,952,332 2014 632,961 625,200 396,150 3,429,596 2,020,230 2015 679,215 681,130 427,295 3,662,632 2,125,044 2016 732,257 735,551 464,907 3,932,001 2,260,779

Quarterly (2010 = 100) 2009 Q1 352,531 349,857 214,855 1,924,863 1,243,791 Q2 360,813 2.3 349,087 -0.2 218,867 1.9 2,044,262 6.2 1,279,835 2.9 Q3 368,944 2.3 364,146 4.3 222,172 1.5 2,077,733 1.6 1,294,637 1.2 Q4 377,406 2.3 369,807 1.6 230,893 3.9 2,086,673 0.4 1,322,112 2.1 2010 Q1 379,441 0.5 354,521 -4.1 225,350 -2.4 2,226,660 6.7 1,460,860 10.5 Q2 394,928 4.1 393,730 11.1 243,799 8.2 2,054,714 -7.7 1,442,877 -1.2 Q3 400,493 1.4 385,976 -2.0 250,158 2.6 2,496,990 21.5 1,433,548 -0.6 Q4 410,511 2.5 391,263 1.4 253,829 1.5 2,181,805 -12.6 1,543,173 7.6 2011 Q1 420,488 2.4 404,590 3.4 256,397 1.0 2,191,785 0.5 1,488,342 -3.6 Q2 443,055 5.4 453,322 12.0 271,321 5.8 2,229,958 1.7 1,558,802 4.7 Q3 454,316 2.5 463,705 2.3 282,840 4.2 2,309,661 3.6 1,558,802 0.0 Q4 468,527 3.1 475,383 2.5 297,069 5.0 2,164,177 -6.3 1,824,982 17.1 2012 Q1 495,241 5.7 475,391 0.0 314,978 6.0 2,465,397 13.9 1,922,518 5.3 Q2 486,716 -1.7 479,165 0.8 313,477 -0.5 2,462,508 -0.1 1,649,157 -14.2 Q3 499,873 2.7 501,302 4.6 319,004 1.8 2,632,437 6.9 1,540,347 -6.6 Q4 551,143 10.3 546,031 8.9 341,289 7.0 2,739,026 4.0 2,187,521 42.0 2013 Q1 554,754 0.7 528,030 -3.3 352,061 3.2 3,077,935 12.4 1,802,955 -17.6 Q2 565,838 2.0 538,007 1.9 362,506 3.0 3,393,158 10.2 1,922,190 6.6 Q3 594,989 5.2 583,486 8.5 374,056 3.2 3,182,182 -6.2 2,007,425 4.4 Q4 604,388 1.6 598,147 2.5 373,947 0.0 3,263,531 2.6 2,076,757 3.5 2014 Q1 605,687 0.2 596,195 -0.3 379,445 1.5 3,272,886 0.3 2,008,646 -3.3 Q2 625,979 3.4 619,603 3.9 390,377 2.9 3,438,444 5.1 2,010,659 0.1 Q3 649,706 3.8 638,969 3.1 405,910 4.0 3,488,303 1.5 1,989,568 -1.0 Q4 650,473 0.1 646,033 1.1 408,866 0.7 3,518,752 0.9 2,072,048 4.1 2015 Q1 662,185 1.8 663,965 2.8 415,279 1.6 3,549,075 0.9 2,115,339 2.1 Q2 666,808 0.7 674,664 1.6 421,539 1.5 3,504,100 -1.3 2,095,004 -1.0 Q3 691,676 3.7 689,547 2.2 433,609 2.9 3,789,738 8.2 2,142,455 2.3 Q4 696,194 0.7 696,344 1.0 438,754 1.2 3,807,614 0.5 2,147,379 0.2 2016 Q1 704,478 1.2 712,819 2.4 447,375 2.0 3,886,540 2.1 2,182,122 1.6 Q2 727,855 3.3 726,876 2.0 461,295 3.1 3,908,260 0.6 2,240,705 2.7 Q3 747,391 2.7 743,703 2.3 472,053 2.3 4,062,227 3.9 2,295,806 2.5 Q4 749,305 0.3 758,806 2.0 478,905 1.5 3,870,976 -4.7 2,324,484 1.2 2017 Q1P 760,369 1.5 767,052 1.1 481,375 0.5 4,029,055 4.1 2,352,035 1.2


1 Kuala Lumpur Central = Sections 1 - 100, Mukim Kuala Lumpur and Mukim Ampang2 Kuala Lumpur North = Mukim Batu, Mukim Setapak and Mukim Ulu Klang3 Kuala Lumpur South = Mukim Petaling and Mukim CherasP - Preliminary

Kuala Kuala Lumpur Kuala Lumpur Kuala Lumpur Lumpur Central1 North2 South3 Weight (2010 =100) 100.0 28.3 46.9 24.8 Index 1-Yr % Change Annual (2010 = 100) 2009 94.8 89.4 98.1 97.6 2010 100.0 5.5 100.0 11.8 100.0 1.9 100.0 2.5 2011 119.0 19.0 117.7 17.7 119.3 19.3 122.7 22.7 2012 132.6 11.4 126.8 7.7 135.2 13.4 133.1 8.5 2013 148.8 12.3 164.1 29.5 143.8 6.3 132.7 -0.3 2014 165.6 11.3 181.4 10.5 164.5 14.4 142.0 7.0 2015 180.4 8.9 196.6 8.3 179.7 9.2 156.7 10.4 2016 194.8 8.0 201.7 2.6 199.8 11.2 175.7 12.1

Quarterly (2010 = 100) 2009 Q1 92.6 89.1 92.4 97.6 Q2 92.4 85.3 96.2 97.4 Q3 96.4 90.9 102.1 95.3 Q4 97.9 92.4 101.8 100.0 2010 Q1 93.9 1.4 92.1 3.4 95.7 3.6 96.7 -0.9 Q2 104.3 12.9 104.3 22.2 104.3 8.5 99.9 2.6 Q3 102.2 6.0 100.9 11.0 103.0 0.9 102.5 7.6 Q4 103.6 5.8 103.5 12.0 104.0 2.2 103.0 3.0 2011 Q1 107.1 14.1 99.6 8.1 110.6 15.6 116.4 20.4 Q2 120.0 15.1 118.7 13.8 118.9 14.0 124.4 24.5 Q3 122.8 20.2 127.4 26.2 119.8 16.3 126.4 23.3 Q4 125.9 21.5 125.2 21.0 127.8 22.9 123.6 20.0 2012 Q1 125.9 17.6 115.2 15.7 132.5 19.8 131.2 12.7 Q2 126.9 5.8 118.2 -0.4 128.6 8.2 138.0 10.9 Q3 132.8 8.1 125.1 -1.8 137.3 14.6 136.9 8.3 Q4 144.6 14.9 148.6 18.7 142.4 11.4 126.3 2.2 2013 Q1 139.8 11.0 156.4 35.8 132.9 0.3 125.3 -4.5 Q2 142.5 12.3 157.9 33.6 136.1 5.8 128.9 -6.6 Q3 154.5 16.3 167.5 33.9 153.6 11.9 135.1 -1.3 Q4 158.4 9.5 174.8 17.6 152.4 7.0 141.3 11.8 2014 Q1 157.9 12.9 176.3 12.7 152.5 14.7 137.8 10.0 Q2 164.1 15.2 181.1 14.7 164.5 20.9 136.0 5.5 Q3 169.2 9.5 182.7 9.1 170.9 11.3 144.4 6.9 Q4 171.1 8.0 185.6 6.2 169.9 11.5 149.8 6.0 2015 Q1 175.8 11.3 194.7 10.4 169.9 11.4 155.8 13.1 Q2 178.7 8.9 195.3 7.8 177.1 7.7 154.6 13.7 Q3 182.6 7.9 197.1 7.9 185.8 8.7 153.3 6.2 Q4 184.4 7.8 199.1 7.3 185.8 9.4 163.1 8.9 2016 Q1 188.8 7.4 198.7 2.1 189.7 11.7 171.0 9.8 Q2 192.5 7.7 202.6 3.7 197.4 11.5 171.6 11.0 Q3 196.9 7.8 206.3 4.7 202.4 8.9 172.1 12.3 Q4 200.9 8.9 199.3 0.1 209.8 12.9 187.9 15.2 2017 Q1P 203.1 7.6 203.7 2.5 211.0 11.2 188.2 10.1

2.02 Kuala Lumpur : Indeks Harga Rumah Teres Mengikut Kawasan Kuala Lumpur :Terraced House Price Index by Region


Kuala Kuala Lumpur Kuala Lumpur Kuala Lumpur Lumpur Central1 North2 South3 Weight (2010 =100) 100.0 28.3 46.9 24.8 Price Quarterly % (RM) Change Annual (2010 = 100) 2009 358,224 438,172 320,106 338,226 2010 377,667 489,918 326,434 346,611 2011 449,250 576,832 389,190 425,311 2012 500,472 620,994 441,191 461,410 2013 561,917 804,002 469,115 459,854 2014 625,200 888,542 536,559 492,133 2015 681,130 962,716 586,231 543,283 2016 735,551 988,037 652,025 608,850

Quarterly (2010 = 100) 2009 Q1 349,857 436,639 301,528 338,343 Q2 349,087 -0.2 418,017 -4.3 313,874 4.1 337,528 -0.2 Q3 364,146 4.3 445,400 6.6 332,995 6.1 330,295 -2.1 Q4 369,807 1.6 452,631 1.6 332,025 -0.3 346,737 5.0 2010 Q1 354,521 -4.1 451,341 -0.3 312,389 -5.9 335,063 -3.4 Q2 393,730 11.1 510,832 13.2 340,427 9.0 346,221 3.3 Q3 385,976 -2.0 494,344 -3.2 336,190 -1.2 355,276 2.6 Q4 391,263 1.4 507,066 2.6 339,492 1.0 357,009 0.5 2011 Q1 404,590 3.4 487,884 -3.8 361,001 6.3 403,498 13.0 Q2 453,322 12.0 581,695 19.2 387,812 7.4 431,076 6.8 Q3 463,705 2.3 624,200 7.3 390,955 0.8 438,268 1.7 Q4 475,383 2.5 613,548 -1.7 416,991 6.7 428,404 -2.3 2012 Q1 475,391 0.0 564,423 -8.0 432,503 3.7 454,908 6.2 Q2 479,165 0.8 578,735 2.5 419,541 -3.0 478,370 5.2 Q3 501,302 4.6 612,942 5.9 448,132 6.8 474,464 -0.8 Q4 546,031 8.9 727,876 18.8 464,591 3.7 437,897 -7.7 2013 Q1 528,030 -3.3 766,293 5.3 433,766 -6.6 434,310 -0.8 Q2 538,007 1.9 773,378 0.9 444,172 2.4 446,781 2.9 Q3 583,486 8.5 820,373 6.1 501,312 12.9 468,410 4.8 Q4 598,147 2.5 855,965 4.3 497,210 -0.8 489,914 4.6 2014 Q1 596,195 -0.3 863,523 0.9 497,562 0.1 477,519 -2.5 Q2 619,603 3.9 886,810 2.7 536,654 7.9 471,320 -1.3 Q3 638,969 3.1 894,983 0.9 557,656 3.9 500,386 6.2 Q4 646,033 1.1 908,853 1.5 554,364 -0.6 519,308 3.8 2015 Q1 663,965 2.8 953,679 4.9 554,522 0.0 540,189 4.0 Q2 674,664 1.6 956,460 0.3 577,897 4.2 535,903 -0.8 Q3 689,547 2.2 965,628 1.0 606,380 4.9 531,530 -0.8 Q4 696,344 1.0 975,095 1.0 606,125 0.0 565,509 6.4 2016 Q1 712,819 2.4 973,247 -0.2 619,025 2.1 592,861 4.8 Q2 726,876 2.0 992,379 2.0 644,093 4.0 594,832 0.3 Q3 743,703 2.3 1,010,505 1.8 660,436 2.5 596,488 0.3 Q4 758,806 2.0 976,019 -3.4 684,546 3.7 651,221 9.2 2017 Q1P 767,052 1.1 997,546 2.2 688,580 0.6 652,269 0.2

2.03 Kuala Lumpur : Purata Harga Rumah Teres Mengikut Kawasan Kuala Lumpur : Average Terraced House Price by Region

P - Preliminary


P - Preliminary

Kuala Kuala Lumpur Kuala Lumpur Kuala Lumpur Lumpur Central1 North2 South3 Weight (2010 =100) 100.0 43.1 38.5 18.4 Index 1-Yr % Change Annual (2010 = 100) 2009 90.6 94.5 83.5 90.6 2010 100.0 10.4 100.0 5.8 100.0 19.7 100.0 10.3 2011 113.2 13.2 115.7 15.7 110.5 10.5 112.0 12.0 2012 131.7 16.4 136.8 18.3 126.4 14.4 128.2 14.4 2013 149.4 13.5 155.8 13.9 144.2 14.1 140.4 9.5 2014 161.9 8.3 162.1 4.0 162.8 12.9 158.0 12.5 2015 174.6 7.9 174.0 7.4 175.7 7.9 173.4 9.8 2016 190.0 8.8 187.8 7.9 191.9 9.2 192.7 11.1

Quarterly (2010 = 100) 2009 Q1 87.8 90.0 76.3 90.4 Q2 89.4 92.2 85.8 90.3 Q3 90.8 94.1 85.6 91.0 Q4 94.4 101.7 86.4 90.8 2010 Q1 92.1 4.9 93.5 3.9 88.9 16.5 97.1 7.4 Q2 99.6 11.4 101.3 9.9 97.2 13.3 101.0 11.8 Q3 102.2 12.6 103.4 9.9 100.8 17.8 102.1 12.2 Q4 103.7 9.9 105.1 3.3 107.5 24.4 100.9 11.1 2011 Q1 104.8 13.8 109.3 16.9 93.6 5.3 110.4 13.7 Q2 110.9 11.3 114.7 13.2 107.0 10.1 108.2 7.1 Q3 115.6 13.1 116.5 12.7 118.8 17.9 115.2 12.8 Q4 121.4 17.1 122.2 16.3 122.5 14.0 114.3 13.3 2012 Q1 128.7 22.8 130.5 19.4 125.7 34.3 131.5 19.1 Q2 128.1 15.5 134.4 17.2 119.1 11.3 132.2 22.2 Q3 130.4 12.8 135.8 16.5 125.3 5.5 125.2 8.7 Q4 139.5 14.9 146.6 20.0 135.3 10.4 123.9 8.4 2013 Q1 143.9 11.8 151.9 16.4 137.1 9.1 133.5 1.5 Q2 148.1 15.6 157.9 17.5 142.3 19.5 127.1 -3.9 Q3 152.9 17.3 158.3 16.6 146.9 17.2 150.3 20.0 Q4 152.8 9.5 155.2 5.9 150.5 11.2 150.7 21.6 2014 Q1 155.1 7.8 156.4 3.0 155.1 13.1 149.6 12.1 Q2 159.5 7.7 157.7 -0.1 163.3 14.8 154.3 21.4 Q3 165.9 8.5 165.5 4.5 166.9 13.6 164.1 9.2 Q4 167.1 9.4 168.7 8.7 166.0 10.3 163.8 8.7 2015 Q1 169.7 9.4 169.5 8.4 169.7 9.4 170.5 14.0 Q2 172.3 8.0 170.1 7.9 176.0 7.8 168.5 9.2 Q3 177.2 6.8 177.3 7.1 177.8 6.5 174.9 6.6 Q4 179.3 7.3 179.1 6.2 179.4 8.1 179.7 9.7 2016 Q1 182.8 7.7 182.6 7.7 182.5 7.5 184.6 8.3 Q2 188.5 9.4 186.1 9.4 191.0 8.5 189.9 12.7 Q3 192.9 8.9 189.3 6.8 195.6 10.0 198.6 13.6 Q4 195.7 9.1 193.0 7.8 198.5 10.6 197.5 9.9 2017 Q1P 196.7 7.6 193.0 5.7 198.3 8.7 206.7 12.0

2.04 Kuala Lumpur : Indeks Harga Unit Bertingkat Tinggi Mengikut Kawasan Kuala Lumpur : High-Rise Unit Price Index by Region


P - Preliminary

Kuala Kuala Lumpur Kuala Lumpur Kuala Lumpur Lumpur Central1 North2 South3 Weight (2010 =100) 100.0 43.1 38.5 18.4 Price Quarterly % (RM) Change Annual (2010 = 100) 2009 221,697 260,773 210,761 140,980 2010 244,773 276,020 252,335 155,557 2011 276,907 319,184 278,685 174,304 2012 322,187 377,564 318,826 199,471 2013 365,643 430,041 363,899 218,397 2014 396,150 447,208 410,827 245,746 2015 427,295 480,090 443,434 269,763 2016 464,907 518,145 484,218 299,688

Quarterly (2010 = 100) 2009 Q1 214,855 248,422 192,487 140,693 Q2 218,867 1.9 254,495 2.4 216,453 12.5 140,440 -0.2 Q3 222,172 1.5 259,569 2.0 216,022 -0.2 141,543 0.8 Q4 230,893 3.9 280,607 8.1 218,084 1.0 141,246 -0.2 2010 Q1 225,350 -2.4 257,905 -8.1 224,375 2.9 151,108 7.0 Q2 243,799 8.2 279,421 8.3 245,311 9.3 157,161 4.0 Q3 250,158 2.6 285,450 2.2 254,272 3.7 158,837 1.1 Q4 253,829 1.5 290,097 1.6 271,260 6.7 156,957 -1.2 2011 Q1 256,397 1.0 301,535 3.9 236,116 -13.0 171,717 9.4 Q2 271,321 5.8 316,516 5.0 269,919 14.3 168,358 -2.0 Q3 282,840 4.2 321,510 1.6 299,686 11.0 179,257 6.5 Q4 297,069 5.0 337,174 4.9 309,020 3.1 177,882 -0.8 2012 Q1 314,978 6.0 360,096 6.8 317,168 2.6 204,668 15.1 Q2 313,477 -0.5 370,974 3.0 300,631 -5.2 205,668 0.5 Q3 319,004 1.8 374,637 1.0 316,076 5.1 194,782 -5.3 Q4 341,289 7.0 404,547 8.0 341,430 8.0 192,765 -1.0 2013 Q1 352,061 3.2 419,116 3.6 345,964 1.3 207,715 7.8 Q2 362,506 3.0 435,847 4.0 359,159 3.8 197,669 -4.8 Q3 374,056 3.2 436,833 0.2 370,783 3.2 233,814 18.3 Q4 373,947 0.0 428,367 -1.9 379,692 2.4 234,390 0.2 2014 Q1 379,445 1.5 431,509 0.7 391,245 3.0 232,719 -0.7 Q2 390,377 2.9 435,127 0.8 412,089 5.3 240,013 3.1 Q3 405,910 4.0 456,627 4.9 421,028 2.2 255,387 6.4 Q4 408,866 0.7 465,571 2.0 418,947 -0.5 254,867 -0.2 2015 Q1 415,279 1.6 467,720 0.5 428,223 2.2 265,271 4.1 Q2 421,539 1.5 469,305 0.3 444,202 3.7 262,116 -1.2 Q3 433,609 2.9 489,201 4.2 448,525 1.0 272,083 3.8 Q4 438,754 1.2 494,133 1.0 452,787 1.0 279,580 2.8 2016 Q1 447,375 2.0 503,943 2.0 460,569 1.7 287,175 2.7 Q2 461,295 3.1 513,628 1.9 481,935 4.6 295,408 2.9 Q3 472,053 2.3 522,379 1.7 493,607 2.4 308,957 4.6 Q4 478,905 1.5 532,632 2.0 500,758 1.4 307,212 -0.6 2017 Q1P 481,375 0.5 532,563 0.0 500,367 -0.1 321,626 4.7

2.05 Kuala Lumpur : Harga Purata Unit Bertingkat Tinggi Mengikut Kawasan Kuala Lumpur : Average High-Rise Unit Price by Region


Selangor

P - Preliminary

All Terraced High-Rise Detached Semi- House Detached Weight (2010 =100) 100.0 60.2 28.9 5.8 5.1 Index 1-Yr % Change Annual (2010 = 100) 2009 92.9 90.8 96.0 93.5 97.4 2010 100.0 7.7 100.0 10.2 100.0 4.2 100.0 7.0 100.0 2.7 2011 112.3 12.3 114.4 14.4 110.5 10.5 103.1 3.1 115.7 15.7 2012 129.1 15.0 131.5 15.0 129.1 16.8 114.2 10.8 131.4 13.5 2013 139.0 7.7 139.7 6.2 141.9 9.9 129.8 13.7 145.7 10.9 2014 151.0 8.6 151.9 8.8 153.6 8.3 140.5 8.2 151.7 4.1 2015 163.2 8.1 164.6 8.3 165.9 8.0 150.9 7.4 163.5 7.8 2016 177.7 8.9 179.6 9.1 184.4 11.2 162.6 7.8 168.1 2.9

Quarterly (2010 = 100) 2009 Q1 89.9 86.9 93.5 91.1 97.3 Q2 91.4 89.8 92.6 90.1 98.3 Q3 94.0 92.2 96.3 93.9 99.2 Q4 96.2 94.2 101.6 98.7 94.7 2010 Q1 96.6 7.5 95.3 9.7 101.0 8.0 95.9 5.3 96.1 -1.2 Q2 99.6 9.0 100.2 11.6 98.3 6.2 96.9 7.5 101.3 3.1 Q3 102.2 8.7 102.9 11.6 100.8 4.7 102.8 9.5 100.6 1.4 Q4 105.2 9.4 106.9 13.5 102.3 0.7 117.4 18.9 107.6 13.6 2011 Q1 108.1 11.9 109.5 14.9 104.9 3.9 104.1 8.6 100.2 4.3 Q2 110.0 10.4 114.7 14.5 110.5 12.4 102.6 5.9 110.4 9.0 Q3 113.1 10.7 114.2 11.0 112.7 11.8 101.9 -0.9 121.2 20.5 Q4 117.8 12.0 119.1 11.4 113.7 11.1 103.6 -11.8 131.0 21.7 2012 Q1 121.1 12.0 124.5 13.7 118.6 13.0 102.8 -1.2 126.1 25.8 Q2 130.2 18.4 132.7 15.7 128.0 15.8 120.4 17.3 130.5 18.2 Q3 133.1 17.7 137.3 20.2 133.4 18.4 113.0 10.9 131.2 8.2 Q4 131.9 12.0 131.5 10.4 136.2 19.8 120.5 16.3 137.6 5.0 2013 Q1 131.1 8.3 131.5 5.6 140.7 18.6 121.6 18.3 139.5 10.6 Q2 137.2 5.4 137.5 3.6 138.7 8.4 126.4 5.0 148.8 14.0 Q3 143.6 7.9 143.4 4.4 146.1 9.5 134.4 18.9 149.3 13.8 Q4 144.2 9.3 146.2 11.2 141.9 4.2 136.9 13.6 145.2 5.5 2014 Q1 146.4 11.7 147.9 12.5 149.3 6.1 135.5 11.4 144.4 3.5 Q2 149.2 8.7 149.9 9.0 152.2 9.7 138.8 9.8 150.6 1.2 Q3 153.7 7.0 154.7 7.9 159.1 8.9 141.7 5.4 151.1 1.2 Q4 154.5 7.1 155.1 6.1 153.9 8.5 146.1 6.7 160.5 10.5 2015 Q1 157.6 7.7 158.2 7.0 158.8 6.4 146.8 8.3 162.8 12.7 Q2 161.4 8.2 163.1 8.8 163.5 7.4 147.4 6.2 162.3 7.8 Q3 166.2 8.1 168.0 8.6 169.8 6.7 153.0 8.0 163.9 8.5 Q4 167.5 8.4 169.0 9.0 171.3 11.3 156.3 7.0 164.9 2.7 2016 Q1 171.2 8.6 171.7 8.5 175.8 10.7 159.3 8.5 164.2 0.9 Q2 176.0 9.0 178.1 9.2 182.5 11.6 164.4 11.5 165.9 2.2 Q3 181.4 9.1 183.3 9.1 188.0 10.7 163.6 6.9 171.8 4.8 Q4 182.3 8.8 185.3 9.6 191.4 11.7 163.2 4.4 170.7 3.5 2017 Q1P 183.1 7.0 185.0 7.7 192.7 9.6 168.4 5.7 171.8 4.6

3 . 0 Indeks Harga Rumah Selangor Mengikut Jenis Rumah Selangor House Price Index by House Type



P - Preliminary

3.01 Harga Purata Rumah Selangor Mengikut Jenis Rumah Selangor Average House Price by House Type

Annual (2010 = 100) 2009 225,190 222,432 137,284 458,620 585,008 2010 242,401 244,949 143,064 490,910 600,920 2.7 2011 272,228 280,323 157,981 505,728 695,206 15.7 2012 313,058 322,256 184,600 560,300 789,053 13.5 2013 337,167 342,241 202,950 637,189 875,309 10.9 2014 366,039 372,254 219,746 689,688 910,943 4.1 2015 395,705 403,320 237,260 740,451 981,989 7.8 2016 430,920 440,168 263,779 798,296 1,010,138 2.9

Quarterly (2010 = 100) 2009 Q1 217,922 212,860 133,692 447,278 584,633 Q2 221,584 1.7 219,963 3.3 132,431 -0.9 442,177 -1.1 590,794 1.1 Q3 228,034 2.9 226,059 2.8 137,695 4.0 460,713 4.2 595,824 0.9 Q4 233,221 2.3 230,847 2.1 145,320 5.5 484,311 5.1 568,779 -4.5 2010 Q1 234,172 0.4 233,516 1.2 144,503 -0.6 470,873 -2.8 577,548 1.5 Q2 241,505 3.1 245,457 5.1 140,638 -2.7 475,692 1.0 608,752 5.4 Q3 247,923 2.7 252,272 2.8 144,243 2.6 504,338 6.0 604,526 -0.7 Q4 255,006 2.9 261,917 3.8 146,355 1.5 576,329 14.3 646,590 7.0 2011 Q1 262,111 2.8 268,302 2.4 150,064 2.5 511,110 -11.3 601,965 -6.9 Q2 266,858 1.8 281,136 4.8 158,046 5.3 503,549 -1.5 663,242 10.2 Q3 274,279 2.8 279,910 -0.4 161,192 2.0 500,028 -0.7 728,460 9.8 Q4 285,666 4.2 291,944 4.3 162,623 0.9 508,224 1.6 787,156 8.1 2012 Q1 293,789 2.8 305,071 4.5 169,664 4.3 504,384 -0.8 757,361 -3.8 Q2 315,747 7.5 325,322 6.6 183,068 7.9 590,979 17.2 784,315 3.6 Q3 322,794 2.2 336,402 3.4 190,821 4.2 554,615 -6.2 788,000 0.5 Q4 319,901 -0.9 322,229 -4.2 194,848 2.1 591,222 6.6 826,537 4.9 2013 Q1 317,955 -0.6 322,335 0.0 201,290 3.3 596,806 0.9 837,803 1.4 Q2 332,640 4.6 336,966 4.5 198,466 -1.4 620,527 4.0 894,043 6.7 Q3 348,306 4.7 351,386 4.3 209,013 5.3 659,580 6.3 896,824 0.3 Q4 349,767 0.4 358,276 2.0 203,030 -2.9 671,844 1.9 872,566 -2.7 2014 Q1 354,918 1.5 362,365 1.1 213,564 5.2 665,053 -1.0 867,454 -0.6 Q2 361,764 1.9 367,318 1.4 217,657 1.9 681,103 2.4 904,562 4.3 Q3 372,708 3.0 379,176 3.2 227,603 4.6 695,508 2.1 907,643 0.3 Q4 374,767 0.6 380,156 0.3 220,159 -3.3 717,087 3.1 964,114 6.2 2015 Q1 382,233 2.0 387,750 2.0 227,124 3.2 720,355 0.5 978,118 1.5 Q2 391,314 2.4 399,739 3.1 233,954 3.0 723,596 0.4 974,781 -0.3 Q3 402,981 3.0 411,628 3.0 242,937 3.8 750,835 3.8 984,427 1.0 Q4 406,292 0.8 414,161 0.6 245,026 0.9 767,017 2.2 990,630 0.6 2016 Q1 415,119 2.2 420,742 1.6 251,443 2.6 782,045 2.0 986,444 -0.4 Q2 426,706 2.8 436,482 3.7 260,999 3.8 807,058 3.2 996,538 1.0 Q3 439,849 3.1 449,342 2.9 268,935 3.0 803,124 -0.5 1,031,807 3.5 Q4 442,007 0.5 454,104 1.1 273,740 1.8 800,957 -0.3 1,025,762 -0.6 2017 Q1P 443,976 0.4 453,482 -0.1 275,721 0.7 826,290 3.2 1,031,841 0.6


P - Preliminary

Selangor Petaling Klang Gombak Hulu Kuala Sepang Langat Selangor Weight (2010 =100) 100.0 35.7 25.5 10.1 22.0 3.5 3.2

Index 1-Yr % Change Annual (2010 = 100) 2009 90.8 87.4 97.4 91.3 93.5 91.7 95.8 2010 100.0 10.2 100.0 14.5 100.0 2.6 100.0 9.6 100.0 6.9 100.0 9.0 100.0 4.4 2011 114.4 14.4 118.8 18.8 108.9 8.9 104.5 4.5 111.6 11.6 113.3 13.3 121.7 21.7 2012 131.5 15.0 140.8 18.5 117.9 8.3 113.2 8.4 128.2 14.9 123.6 9.1 137.6 13.1 2013 139.7 6.2 143.4 1.8 129.7 10.0 122.9 8.6 147.0 14.6 134.4 8.7 150.7 9.5 2014 151.9 8.8 154.6 7.8 139.5 7.6 135.8 10.5 164.0 11.6 153.6 14.3 162.3 7.7 2015 164.6 8.3 166.6 7.7 152.5 9.3 145.7 7.3 180.1 9.8 169.4 10.3 172.5 6.2 2016 179.6 9.1 182.2 9.4 166.5 9.2 159.6 9.5 196.3 9.0 173.6 2.5 186.5 8.2

Quarterly (2010 = 100) 2009 Q1 86.9 83.4 93.6 87.4 92.0 86.3 87.6 Q2 89.8 85.5 98.5 87.7 94.6 90.7 94.5 Q3 92.2 88.8 98.8 93.7 93.7 92.4 98.0 Q4 94.2 91.7 98.8 96.3 93.8 97.5 103.1 2010 Q1 95.3 9.7 94.7 13.5 96.6 3.2 92.5 5.8 96.0 4.3 98.1 13.7 99.8 13.9 Q2 100.2 11.6 98.1 14.7 103.4 5.0 102.6 17.0 99.5 5.2 103.7 14.3 97.2 2.9 Q3 102.9 11.6 104.0 17.1 103.8 5.1 101.0 7.8 102.5 9.4 102.2 10.6 97.6 -0.4 Q4 106.9 13.5 108.4 18.2 106.6 7.9 103.3 7.3 103.1 9.9 102.2 4.8 99.9 -3.1 2011 Q1 109.5 14.9 112.6 18.9 105.3 9.0 102.6 10.9 106.3 10.7 107.9 10.0 117.5 17.7 Q2 114.7 14.5 119.7 22.0 108.4 4.8 104.9 2.2 110.1 10.7 107.4 3.6 118.4 21.8 Q3 114.2 11.0 117.6 13.1 111.8 7.7 101.9 0.9 113.9 11.1 121.5 18.9 126.5 29.6 Q4 119.1 11.4 125.2 15.5 110.1 3.3 108.4 4.9 116.0 12.5 116.5 14.0 124.2 24.3 2012 Q1 124.5 13.7 135.3 20.2 109.4 3.9 110.4 7.6 116.5 9.6 116.6 8.1 127.3 8.3 Q2 132.7 15.7 143.2 19.6 119.3 10.1 111.3 6.1 128.0 16.3 122.9 14.4 138.1 16.6 Q3 137.3 20.2 148.8 26.5 123.1 10.1 111.7 9.6 131.8 15.7 130.7 7.6 144.3 14.1 Q4 131.5 10.4 135.9 8.5 119.9 8.9 119.4 10.1 136.5 17.7 124.3 6.7 140.8 13.4 2013 Q1 131.5 5.6 137.5 1.6 122.6 12.1 110.6 0.2 134.0 15.0 123.6 6.0 141.2 10.9 Q2 137.5 3.6 140.8 -1.7 130.2 9.1 120.0 7.8 143.2 11.9 137.4 11.8 149.0 7.9 Q3 143.4 4.4 147.4 -0.9 130.2 5.8 125.8 12.6 154.0 16.8 134.6 3.0 155.1 7.5 Q4 146.2 11.2 147.9 8.8 135.8 13.3 135.2 13.2 156.6 14.7 141.8 14.1 157.6 11.9 2014 Q1 147.9 12.5 150.4 9.4 136.7 11.5 131.2 18.6 159.2 18.8 147.5 19.3 159.9 13.2 Q2 149.9 9.0 153.0 8.7 136.8 5.1 131.4 9.5 161.3 12.6 155.4 13.1 166.0 11.4 Q3 154.7 7.9 157.2 6.6 142.9 9.8 138.0 9.7 167.5 8.8 155.2 15.3 164.4 6.0 Q4 155.1 6.1 157.7 6.6 141.6 4.3 142.5 5.4 167.9 7.2 156.3 10.2 159.0 0.9 2015 Q1 158.2 7.0 159.9 6.3 147.9 8.2 142.9 8.9 172.5 8.4 157.6 6.8 159.1 -0.5 Q2 163.1 8.8 165.2 8.0 151.7 10.9 143.8 9.4 180.3 11.8 157.8 1.5 162.2 -2.3 Q3 168.0 8.6 170.5 8.5 154.6 8.2 147.6 7.0 181.9 8.6 178.0 14.7 185.4 12.8 Q4 169.0 9.0 170.6 8.2 155.8 10.0 148.6 4.3 185.5 10.5 184.1 17.8 183.1 15.2 2016 Q1 171.7 8.5 174.0 8.8 158.2 7.0 152.6 6.8 189.5 9.9 165.8 5.2 175.0 10.0 Q2 178.1 9.2 181.4 9.8 164.3 8.3 157.8 9.7 193.5 7.3 169.5 7.4 188.2 16.0 Q3 183.3 9.1 186.2 9.2 170.9 10.5 163.8 11.0 198.5 9.1 175.6 -1.3 191.2 3.1 Q4 185.3 9.6 187.2 9.7 172.6 10.8 164.3 10.6 203.8 9.9 183.4 -0.4 191.7 4.7 2017 Q1P 185.0 7.7 187.9 8.0 172.3 8.9 163.0 6.8 202.1 6.6 179.0 8.0 190.1 8.6

3 . 02 Selangor : Indeks Harga Rumah Teres Mengikut Kawasan Selangor : Terraced House Price Index by Region


Selangor Petaling Klang Gombak Hulu Kuala Sepang Langat Selangor Weight (2010 =100) 100.0 35.7 25.5 10.1 22.0 3.5 3.2

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 222,432 304,068 168,295 209,578 178,625 125,087 202,621 2010 244,949 348,072 172,799 229,700 191,023 136,347 211,630 2011 280,323 413,505 188,189 239,827 213,089 154,569 257,368 2012 322,256 490,180 203,780 259,912 244,858 168,565 291,125 2013 342,241 499,281 224,167 282,259 280,660 183,217 318,842 2014 372,254 538,041 241,129 311,801 313,213 209,476 343,399 2015 403,320 579,683 263,504 334,630 343,904 230,962 364,778 2016 440,168 634,176 287,734 366,533 374,988 236,714 394,576

Quarterly (2010 = 100)

2009 Q1 212,860 290,181 161,673 200,677 175,732 117,694 185,223 Q2 219,963 3.3 297,610 2.6 170,137 5.2 201,405 0.4 180,626 2.8 123,729 5.1 199,813 7.9 Q3 226,059 2.8 309,219 3.9 170,655 0.3 215,175 6.8 179,045 -0.9 125,947 1.8 207,397 3.8 Q4 230,847 2.1 319,262 3.2 170,715 0.0 221,054 2.7 179,098 0.0 132,977 5.6 218,053 5.12010 Q1 233,516 1.2 329,827 3.3 166,885 -2.2 212,503 -3.9 183,324 2.4 133,723 0.6 211,191 -3.1 Q2 245,457 5.1 341,569 3.6 178,632 7.0 235,530 10.8 190,035 3.7 141,370 5.7 205,607 -2.6 Q3 252,272 2.8 362,098 6.0 179,323 0.4 231,988 -1.5 195,750 3.0 139,436 -1.4 206,539 0.5 Q4 261,917 3.8 377,311 4.2 184,204 2.7 237,280 2.3 196,945 0.6 139,346 -0.1 211,418 2.42011 Q1 268,302 2.4 392,022 3.9 182,025 -1.2 235,553 -0.7 202,965 3.1 147,205 5.6 248,502 17.5 Q2 281,136 4.8 416,742 6.3 187,262 2.9 240,897 2.3 210,292 3.6 146,501 -0.5 250,466 0.8 Q3 279,910 -0.4 409,431 -1.8 193,136 3.1 233,937 -2.9 217,545 3.4 165,728 13.1 267,690 6.9 Q4 291,944 4.3 435,823 6.4 190,333 -1.5 248,921 6.4 221,556 1.8 158,843 -4.2 262,816 -1.82012 Q1 305,071 4.5 471,035 8.1 189,025 -0.7 253,445 1.8 222,571 0.5 158,979 0.1 269,384 2.5 Q2 325,322 6.6 498,572 5.8 206,145 9.1 255,684 0.9 244,409 9.8 167,542 5.4 292,056 8.4 Q3 336,402 3.4 517,985 3.9 212,730 3.2 256,417 0.3 251,712 3.0 178,203 6.4 305,164 4.5 Q4 322,229 -4.2 473,128 -8.7 207,221 -2.6 274,103 6.9 260,740 3.6 169,537 -4.9 297,897 -2.42013 Q1 322,335 0.0 478,821 1.2 211,847 2.2 254,073 -7.3 255,867 -1.9 168,523 -0.6 298,731 0.3 Q2 336,966 4.5 490,074 2.4 225,046 6.2 275,545 8.5 273,552 6.9 187,434 11.2 315,174 5.5 Q3 351,386 4.3 513,249 4.7 225,052 0.0 288,888 4.8 294,087 7.5 183,556 -2.1 328,142 4.1 Q4 358,276 2.0 514,980 0.3 234,722 4.3 310,530 7.5 299,131 1.7 193,357 5.3 333,320 1.62014 Q1 362,365 1.1 523,611 1.7 236,281 0.7 301,360 -3.0 304,161 1.7 201,180 4.0 338,254 1.5 Q2 367,318 1.4 532,657 1.7 236,472 0.1 301,729 0.1 308,042 1.3 211,858 5.3 351,213 3.8 Q3 379,176 3.2 547,071 2.7 247,013 4.5 316,882 5.0 319,881 3.8 211,703 -0.1 347,765 -1.0 Q4 380,156 0.3 548,825 0.3 244,752 -0.9 327,233 3.3 320,769 0.3 213,162 0.7 336,365 -3.32015 Q1 387,750 2.0 556,537 1.4 255,559 4.4 328,227 0.3 329,469 2.7 214,879 0.8 336,571 0.1 Q2 399,739 3.1 575,024 3.3 262,168 2.6 330,104 0.6 344,446 4.5 215,176 0.1 343,068 1.9 Q3 411,628 3.0 593,392 3.2 267,107 1.9 338,979 2.7 347,445 0.9 242,730 12.8 392,106 14.3 Q4 414,161 0.6 593,778 0.1 269,181 0.8 341,211 0.7 354,254 2.0 251,061 3.4 387,365 -1.22016 Q1 420,742 1.6 605,836 2.0 273,330 1.5 350,360 2.7 362,002 2.2 226,095 -9.9 370,280 -4.4 Q2 436,482 3.7 631,324 4.2 283,952 3.9 362,402 3.4 369,532 2.1 231,190 2.3 398,035 7.5 Q3 449,342 2.9 648,036 2.6 295,352 4.0 376,093 3.8 379,115 2.6 239,438 3.6 404,477 1.6 Q4 454,104 1.1 651,506 0.5 298,303 1.0 377,279 0.3 389,302 2.7 250,132 4.5 405,512 0.32017 Q1P 453,482 -0.1 653,948 0.4 297,685 -0.2 374,257 -0.8 386,066 -0.8 244,119 -2.4 402,120 -0.8

3 . 03 Selangor : Harga Purata Rumah Teres Mengikut Kawasan Selangor : Average Terraced House Price by Region


P - Preliminary

Selangor Petaling Hulu Langat Weight (2010 =100) 100.0 72.5 27.5 Index 1-Yr % Change

3 . 04 Selangor : Indeks Harga Unit Bertingkat Tinggi Mengikut Kawasan Selangor : High-Rise Unit Price Index by Region

Annual (2010 = 100) 2009 96.0 96.5 94.0 2010 100.0 4.2 100.0 3.6 100.0 6.4 2011 110.5 10.5 113.0 13.0 102.7 2.7 2012 129.1 16.8 132.4 17.1 116.8 13.8 2013 141.9 9.9 144.3 9.0 133.1 13.9 2014 153.6 8.3 155.4 7.7 147.2 10.6 2015 165.9 8.0 167.6 7.9 159.4 8.3 2016 184.4 11.2 186.6 11.3 176.0 10.4

Quarterly (2010 = 100) 2009 Q1 93.5 93.6 93.1 Q2 92.6 92.5 93.0 Q3 96.3 97.0 93.6 Q4 101.6 103.0 96.3 2010 Q1 101.0 8.0 102.3 9.3 96.3 3.4 Q2 98.3 6.2 97.7 5.6 100.6 8.2 Q3 100.8 4.7 100.6 3.7 101.8 8.8 Q4 102.3 0.7 102.7 -0.3 95.1 -1.2 2011 Q1 104.9 3.9 107.2 4.8 98.8 2.6 Q2 110.5 12.4 111.3 13.9 107.3 6.6 Q3 112.7 11.8 117.6 16.9 99.5 -2.3 Q4 113.7 11.1 116.0 13.0 105.1 10.5 2012 Q1 118.6 13.0 119.6 11.6 114.9 16.3 Q2 128.0 15.8 130.6 17.4 118.4 10.4 Q3 133.4 18.4 139.7 18.8 110.0 10.6 Q4 136.2 19.8 139.5 20.3 123.9 17.9 2013 Q1 140.7 18.6 143.4 19.9 130.7 13.8 Q2 138.7 8.4 140.2 7.4 133.3 12.6 Q3 146.1 9.5 149.8 7.2 132.6 20.5 Q4 141.9 4.2 143.6 2.9 135.7 9.5 2014 Q1 149.3 6.1 150.7 5.1 144.0 10.2 Q2 152.2 9.7 153.8 9.7 146.2 9.7 Q3 159.1 8.9 161.2 7.6 151.4 14.2 Q4 153.9 8.5 155.7 8.4 147.1 8.4 2015 Q1 158.8 6.4 159.4 5.8 156.5 8.7 Q2 163.5 7.4 164.6 7.0 159.5 9.1 Q3 169.8 6.7 173.0 7.3 158.2 4.5 Q4 171.3 11.3 173.5 11.4 163.2 10.9 2016 Q1 175.8 10.7 177.1 11.1 171.0 9.3 Q2 182.5 11.6 183.6 11.5 178.4 11.8 Q3 188.0 10.7 190.8 10.3 176.2 11.4 Q4 191.4 11.7 194.9 12.3 178.2 9.2 2017 Q1P 192.7 9.6 195.6 10.4 182.3 6.6


Selangor Petaling Hulu Langat Weight (2010 =100) 100.0 72.5 27.5

Price Quarterly % (RM) Change

3 . 05 Selangor : Harga Purata Unit Bertingkat Tinggi Mengikut Kawasan Selangor : Average High-Rise Unit Price by Region

Annual (2010 = 100) 2009 137,284 179,062 123,823 2010 143,064 185,517 131,744 2011 157,981 209,715 135,275 2012 184,600 245,566 153,892 2013 202,950 267,657 175,293 2014 219,746 288,259 193,878 2015 237,260 311,023 209,886 2016 263,779 346,212 231,792

Quarterly (2010 = 100) 2009 Q1 133,692 173,610 122,597 Q2 132,431 -0.9 171,554 -1.2 122,544 0.0 Q3 137,695 4.0 179,924 4.9 123,335 0.6 Q4 145,320 5.5 191,159 6.2 126,817 2.8 2010 Q1 144,503 -0.6 189,820 -0.7 126,801 0.0 Q2 140,638 -2.7 181,253 -4.5 132,594 4.6 Q3 144,243 2.6 186,612 3.0 134,115 1.1 Q4 146,355 1.5 190,526 2.1 125,303 -6.6 2011 Q1 150,064 2.5 198,900 4.4 130,183 3.9 Q2 158,046 5.3 206,473 3.8 141,351 8.6 Q3 161,192 2.0 218,252 5.7 131,107 -7.2 Q4 162,623 0.9 215,233 -1.4 138,458 5.6 2012 Q1 169,664 4.3 221,905 3.1 151,420 9.4 Q2 183,068 7.9 242,237 9.2 156,013 3.0 Q3 190,821 4.2 259,209 7.0 144,951 -7.1 Q4 194,848 2.1 258,913 -0.1 163,185 12.6 2013 Q1 201,290 3.3 266,118 2.8 172,149 5.5 Q2 198,466 -1.4 260,156 -2.2 175,597 2.0 Q3 209,013 5.3 277,862 6.8 174,716 -0.5 Q4 203,030 -2.9 266,491 -4.1 178,711 2.3 2014 Q1 213,564 5.2 279,660 4.9 189,715 6.2 Q2 217,657 1.9 285,325 2.0 192,545 1.5 Q3 227,603 4.6 299,089 4.8 199,433 3.6 Q4 220,159 -3.3 288,962 -3.4 193,819 -2.8 2015 Q1 227,124 3.2 295,762 2.4 206,115 6.3 Q2 233,954 3.0 305,496 3.3 210,103 1.9 Q3 242,937 3.8 320,954 5.1 208,354 -0.8 Q4 245,026 0.9 321,882 0.3 214,970 3.2 2016 Q1 251,443 2.6 328,528 2.1 225,294 4.8 Q2 260,999 3.8 340,594 3.7 234,962 4.3 Q3 268,935 3.0 354,058 4.0 232,185 -1.2 Q4 273,740 1.8 361,666 2.1 234,730 1.1 2017 Q1P 275,721 0.7 362,851 0.3 240,197 2.3


Johor

P - Preliminary


Index 1-Yr % Change Annual (2010 = 100) 2009 101.8 108.6 96.3 97.9 95.6 2010 100.0 -1.8 100.0 -7.9 100.0 3.8 100.0 2.2 100.0 4.6 2011 109.0 9.0 107.6 7.6 113.7 13.7 109.5 9.5 110.0 9.9 2012 122.4 12.3 120.3 11.8 125.0 9.9 131.4 20.0 122.7 11.6 2013 148.8 21.6 144.0 19.6 154.3 23.4 151.0 14.9 154.8 26.1 2014 169.9 14.1 167.2 16.2 170.8 10.7 161.8 7.2 166.3 7.4 2015 179.2 5.5 176.0 5.2 184.1 7.8 174.8 8.1 174.7 5.1 2016 193.4 8.0 192.7 9.5 206.0 11.9 189.2 8.3 181.3 3.7

Quarterly (2010 = 100) 2009 Q1 99.4 110.0 100.1 92.8 94.1 Q2 106.6 112.3 95.4 96.5 96.7 Q3 102.6 114.2 92.9 99.6 91.6 Q4 98.7 98.0 96.8 102.6 100.1 2010 Q1 103.6 4.3 99.8 -9.3 96.5 -3.6 97.3 4.8 103.0 9.5 Q2 102.0 -4.3 112.8 0.4 100.0 4.8 94.5 -2.1 95.9 -0.8 Q3 105.3 2.6 107.9 -5.5 102.8 10.7 106.6 7.0 102.5 11.9 Q4 104.6 6.0 104.0 6.1 101.6 5.0 102.4 -0.2 111.5 11.4 2011 Q1 105.4 1.7 106.1 6.3 105.0 8.8 97.6 0.3 108.8 5.6 Q2 108.1 6.0 104.9 -7.0 114.0 14.0 113.6 20.2 106.3 10.8 Q3 109.8 4.3 110.3 2.2 119.6 16.3 107.0 0.4 106.8 4.2 Q4 112.6 7.6 109.1 4.9 116.3 14.5 119.9 17.1 117.9 5.7 2012 Q1 113.4 7.6 108.3 2.1 112.0 6.7 114.0 16.8 116.4 7.0 Q2 118.8 9.9 117.9 12.4 129.6 13.7 119.0 4.8 118.4 11.4 Q3 121.2 10.4 123.5 12.0 124.6 4.2 137.8 28.8 121.2 13.5 Q4 136.1 20.9 131.6 20.6 133.9 15.1 154.9 29.2 134.7 14.2 2013 Q1 139.3 22.8 136.8 26.3 139.3 24.4 146.7 28.7 144.1 23.8 Q2 147.6 24.2 143.4 21.6 150.4 16.0 151.9 27.6 155.3 31.2 Q3 152.1 25.5 148.8 20.5 163.4 31.1 151.4 9.9 158.3 30.6 Q4 156.3 14.8 146.8 11.6 164.0 22.5 153.8 -0.7 161.3 19.7 2014 Q1 155.1 11.3 155.8 13.9 169.3 21.5 155.5 6.0 165.5 14.9 Q2 170.0 15.2 168.7 17.6 172.3 14.6 157.4 3.6 161.6 4.1 Q3 178.6 17.4 174.9 17.5 171.9 5.2 166.6 10.0 166.6 5.2 Q4 175.7 12.4 169.5 15.5 169.7 3.5 167.5 8.9 171.4 6.3 2015 Q1 173.1 11.6 168.8 8.3 177.1 4.6 168.7 8.5 174.0 5.1 Q2 174.2 2.5 172.3 2.1 186.8 8.4 173.3 10.1 176.4 9.2 Q3 188.6 5.6 179.8 2.8 183.8 6.9 177.4 6.5 175.0 5.0 Q4 180.8 2.9 183.0 8.0 188.5 11.1 179.7 7.3 173.5 1.2 2016 Q1 188.9 9.1 188.3 11.6 196.5 11.0 179.8 6.6 177.1 1.8 Q2 190.3 9.2 190.3 10.4 203.4 8.9 183.6 5.9 173.9 -1.4 Q3 198.5 5.2 194.8 8.3 209.6 14.0 190.9 7.6 187.2 7.0 Q4 196.0 8.4 197.2 7.8 214.3 13.7 202.6 12.7 186.9 7.7 2017 Q1P 198.5 5.1 202.0 7.3 215.0 9.4 199.4 10.9 185.2 4.6

4 . 0 Indeks Harga Rumah Johor Mengikut Jenis Rumah Johor House Price Index By House Type



P - Preliminary

4.01 Harga Purata Rumah Johor Mengikut Jenis Rumah Johor Average House Price By House Type

Annual (2010 = 100) 2009 158,848 139,252 108,041 198,511 388,380 2010 156,032 128,166 112,232 202,819 406,117 2011 170,071 137,962 127,657 222,165 446,587 2012 190,958 154,306 140,307 266,622 498,151 2013 232,238 184,511 173,162 306,241 628,476 2014 265,097 214,332 191,733 328,120 675,287 2015 279,640 225,546 206,581 354,584 709,552 2016 301,888 246,971 231,198 383,838 736,121

Quarterly (2010 = 100) 2009 Q1 154,985 140,992 112,283 188,329 382,139 Q2 166,284 7.3 143,912 2.1 107,031 -4.7 195,688 3.9 392,654 2.8 Q3 160,104 -3.7 146,453 1.8 104,257 -2.6 201,969 3.2 372,141 -5.2 Q4 154,018 -3.8 125,652 -14.2 108,595 4.2 208,059 3.0 406,586 9.3 2010 Q1 161,791 5.0 127,928 1.8 108,352 -0.2 197,373 -5.1 418,163 2.8 Q2 159,176 -1.6 144,630 13.1 112,215 3.6 191,706 -2.9 389,467 -6.9 Q3 164,368 3.3 138,311 -4.4 115,360 2.8 216,253 12.8 416,270 6.9 Q4 163,209 -0.7 133,292 -3.6 114,028 -1.2 207,687 -4.0 452,821 8.8 2011 Q1 164,472 0.8 136,057 2.1 117,804 3.3 197,917 -4.7 441,996 -2.4 Q2 168,734 2.6 134,527 -1.1 127,993 8.6 230,362 16.4 431,840 -2.3 Q3 171,387 1.6 141,396 5.1 134,269 4.9 217,085 -5.8 433,594 0.4 Q4 175,693 2.5 139,871 -1.1 130,562 -2.8 243,298 12.1 478,917 10.5 2012 Q1 176,896 0.7 138,885 -0.7 125,726 -3.7 231,234 -5.0 472,738 -1.3 Q2 185,409 4.8 151,196 8.9 145,424 15.7 241,448 4.4 480,640 1.7 Q3 189,178 2.0 158,378 4.7 139,838 -3.8 279,495 15.8 492,073 2.4 Q4 212,351 12.2 168,765 6.6 150,242 7.4 314,311 12.5 547,153 11.2 2013 Q1 217,344 2.4 175,354 3.9 156,389 4.1 297,625 -5.3 585,376 7.0 Q2 230,374 6.0 183,854 4.8 168,813 7.9 308,172 3.5 630,874 7.8 Q3 237,382 3.0 190,701 3.7 183,388 8.6 307,151 -0.3 642,679 1.9 Q4 243,852 2.7 188,137 -1.3 184,058 0.4 312,014 1.6 654,973 1.9 2014 Q1 242,077 -0.7 199,689 6.1 190,063 3.3 315,467 1.1 672,182 2.6 Q2 265,324 9.6 216,223 8.3 193,440 1.8 319,241 1.2 656,267 -2.4 Q3 278,746 5.1 224,169 3.7 192,971 -0.2 337,940 5.9 676,590 3.1 Q4 274,239 -1.6 217,248 -3.1 190,457 -1.3 339,834 0.6 696,109 2.9 2015 Q1 270,181 -1.5 216,351 -0.4 198,789 4.4 342,267 0.7 706,536 1.5 Q2 271,886 0.6 220,837 2.1 209,630 5.5 351,561 2.7 716,520 1.4 Q3 294,334 8.3 230,448 4.4 206,347 -1.6 359,900 2.4 710,520 -0.8 Q4 282,161 -4.1 234,549 1.8 211,560 2.5 364,609 1.3 704,632 -0.8 2016 Q1 294,838 4.5 241,394 2.9 220,601 4.3 364,702 0.0 719,124 2.1 Q2 297,001 0.7 243,958 1.1 228,341 3.5 372,425 2.1 706,044 -1.8 Q3 309,806 4.3 249,727 2.4 235,302 3.0 387,263 4.0 760,229 7.7 Q4 305,904 -1.3 252,804 1.2 240,546 2.2 410,961 6.1 759,087 -0.2 2017 Q1P 309,826 1.3 258,953 2.4 241,265 0.3 404,567 -1.6 752,022 -0.9


P - Preliminary

Johor Johor Bahru Batu Muar Kluang Segamat Kulai Kota Tinggi/ Pahat Jaya Pontian

Weight (2010 =100) 100.0 53.3 14.0 7.7 5.3 6.8 8.8 4.1

Index 1-Yr % Change Annual (2010 = 100) 2009 108.6 102.5 97.3 95.9 98.1 91.1 98.3 102.3 2010 100.0 -7.9 100.0 -2.5 100.0 2.8 100.0 4.3 100.0 2.0 100.0 9.8 100.0 1.7 100.0 -2.2 2011 107.6 7.6 106.1 6.1 107.6 7.6 107.0 7.0 110.8 10.8 104.9 4.9 104.2 4.2 103.5 3.5 2012 120.3 11.8 119.6 12.8 119.5 11.1 113.5 6.1 131.0 18.2 111.4 6.2 110.9 6.5 110.5 6.7 2013 144.0 19.6 143.0 19.5 132.7 11.0 129.2 13.8 136.9 4.5 121.6 9.1 135.2 21.9 123.9 12.1 2014 167.2 16.2 169.2 18.3 151.7 14.3 142.8 10.6 137.9 0.7 144.9 19.2 163.1 20.6 143.3 15.7 2015 176.0 5.2 188.4 11.3 154.3 1.7 149.5 4.7 149.0 8.1 156.2 7.8 170.3 4.4 157.7 10.0 2016 192.7 9.5 209.8 11.3 163.4 5.9 161.9 8.3 164.6 10.4 167.4 7.1 179.9 5.7 170.5 8.1

Quarterly (2010 = 100) 2009 Q1 110.0 102.4 91.6 94.5 97.6 84.6 95.2 104.6 Q2 112.3 106.0 96.3 94.5 94.7 93.3 95.5 104.7 Q3 114.2 105.1 100.9 96.4 97.8 93.3 99.9 101.4 Q4 98.0 96.6 100.3 98.0 102.2 93.0 102.7 98.4 2010 Q1 9.8 -9.3 100.2 -2.1 98.2 7.2 99.7 5.5 96.9 -0.7 94.9 12.2 100.1 5.1 100.6 -3.8 Q2 112.8 0.4 102.2 -3.6 98.3 2.1 101.2 7.1 102.7 8.5 99.1 6.2 102.3 7.1 99.4 -5.1 Q3 107.9 -5.5 102.9 -2.1 101.6 0.7 101.0 4.7 101.6 4.0 105.0 12.5 95.6 -4.3 104.1 2.7 Q4 104.0 6.1 94.5 -2.1 100.2 -0.1 103.3 5.4 108.7 6.4 107.8 15.9 99.0 -3.6 100.6 2.22011 Q1 106.1 6.3 97.9 -2.3 109.0 11.0 101.9 2.2 102.8 6.1 104.1 9.7 100.8 0.7 101.4 0.8 Q2 104.9 -7.0 106.2 3.9 103.3 5.1 108.0 6.7 111.4 8.4 105.1 6.0 95.3 -6.8 101.2 1.8 Q3 110.3 2.2 108.9 5.9 111.0 9.3 106.4 5.3 109.2 7.4 106.5 1.4 115.2 20.5 106.8 2.6 Q4 109.1 4.9 111.2 17.6 106.9 6.7 111.6 8.0 120.0 10.4 103.9 -3.6 105.4 6.5 104.7 4.12012 Q1 108.3 2.1 111.3 13.6 112.3 3.0 110.1 8.0 128.2 24.7 101.6 -2.4 110.5 9.6 108.4 6.9 Q2 117.9 12.4 118.1 11.2 121.3 17.4 109.4 1.3 126.0 13.1 107.6 2.4 112.4 17.9 107.5 6.2 Q3 123.5 12.0 119.9 10.1 120.8 8.8 113.5 6.7 135.1 23.7 112.9 6.0 106.4 -7.6 113.3 6.1 Q4 131.6 20.6 129.4 16.3 123.5 15.5 120.9 8.4 134.8 12.3 123.5 18.9 114.4 8.5 112.8 7.72013 Q1 136.8 26.3 131.1 17.8 126.8 12.9 126.4 14.8 141.2 10.1 119.5 17.6 124.5 12.7 124.2 14.6 Q2 143.4 21.6 140.6 19.1 133.4 10.0 125.8 15.0 137.2 8.9 115.6 7.4 131.5 17.0 123.6 15.0 Q3 148.8 20.5 148.3 23.7 133.4 10.4 132.0 16.3 133.7 -1.0 116.2 2.9 137.1 28.9 120.5 6.4 Q4 146.8 11.6 152.0 17.5 137.0 10.9 132.4 9.5 135.6 0.6 134.9 9.2 147.7 29.1 127.4 12.92014 Q1 155.8 13.9 155.8 18.8 142.3 12.2 140.6 11.2 136.4 -3.4 140.6 17.7 153.3 23.1 133.1 7.2 Q2 168.7 17.6 165.2 17.5 153.9 15.4 143.5 14.0 139.8 1.9 143.1 23.8 165.2 25.6 152.9 23.7 Q3 174.9 17.5 170.0 14.6 157.1 17.8 144.5 9.5 138.0 3.2 147.0 26.5 163.5 19.3 142.9 18.6 Q4 169.5 15.5 185.7 22.2 153.3 11.9 142.6 7.7 137.3 1.3 148.7 10.2 170.4 15.4 144.4 13.32015 Q1 168.8 8.3 193.7 24.3 150.9 6.0 144.4 2.7 141.3 3.6 152.3 8.3 163.0 6.3 153.1 15.0 Q2 172.3 2.1 188.2 13.9 154.8 0.6 149.1 3.9 148.6 6.3 152.6 6.6 166.6 0.8 159.3 4.2 Q3 179.8 2.8 187.0 10.0 155.6 -1.0 152.0 5.2 150.2 8.8 158.2 7.6 177.5 8.6 154.6 8.2 Q4 183.0 8.0 184.6 -0.6 155.7 1.6 152.5 6.9 155.9 13.5 161.7 8.7 174.1 2.2 163.9 13.52016 Q1 188.3 11.6 197.0 1.7 158.6 5.1 155.2 7.5 162.4 14.9 163.2 7.2 176.0 8.0 164.3 7.3 Q2 190.3 10.4 200.3 6.4 164.0 5.9 161.2 8.1 166.0 11.7 165.2 8.3 180.0 8.0 170.2 6.8 Q3 194.8 8.3 219.4 17.3 163.5 5.1 163.8 7.8 166.3 10.7 169.7 7.3 181.7 2.4 175.5 13.5 Q4 197.2 7.8 222.3 20.4 167.3 7.5 167.2 9.6 163.5 4.9 171.3 5.9 182.0 4.5 171.9 4.92017 Q1P 202.0 7.3 229.6 16.5 166.3 4.9 170.2 9.7 165.0 1.6 177.9 9.0 184.9 5.1 177.3 7.9

4 . 02 Johor : Indeks Harga Rumah Teres Mengikut Kawasan Johor : Terraced House Price Index by Region


P - Preliminary

Johor Johor Bahru Batu Muar Kluang Segamat Kulai Kota Tinggi/ Pahat Jaya Pontian

Weight (2010 =100) 100.0 53.3 14.0 7.7 5.3 6.8 8.8 4.1

Price Quarterly % (RM) Change

Annual (2010 = 100) 2009 139,252 127,141 140,982 157,308 109,182 95,153 131,752 108,968 2010 128,166 124,022 144,905 164,129 111,348 104,565 134,026 106,538 2011 137,962 131,538 155,872 175,492 123,383 109,617 139,570 110,259 2012 154,306 148,377 173,195 186,155 145,878 116,431 148,666 117,708 2013 184,511 177,337 192,263 211,855 152,448 127,064 181,193 132,012 2014 214,332 209,815 219,822 234,280 153,506 151,418 218,565 152,683 2015 225,546 233,627 223,581 245,325 165,948 163,298 228,229 168,005 2016 246,971 260,140 236,766 265,607 183,178 174,904 241,116 181,594

Quarterly (2010 = 100) 2009 Q1 140,992 126,956 132,822 155,193 108,698 88,398 127,593 111,462 Q2 143,912 2.1 131,513 3.6 139,564 5.1 155,042 -0.1 105,439 -3.0 97,498 10.3 127,973 0.3 111,576 0.1 Q3 146,453 1.8 130,290 -0.9 146,230 4.8 158,211 2.0 108,828 3.2 97,497 0.0 133,869 4.6 108,001 -3.2 Q4 125,652 -14.2 119,806 -8.0 145,311 -0.6 160,785 1.6 113,763 4.5 97,219 -0.3 137,572 2.8 104,832 -2.92010 Q1 127,928 1.8 124,311 3.8 142,294 -2.1 163,557 1.7 107,930 -5.1 99,173 2.0 134,149 -2.5 107,210 2.3 Q2 144,630 13.1 126,734 1.9 142,507 0.1 166,067 1.5 114,368 6.0 103,623 4.5 137,102 2.2 105,833 -1.3 Q3 138,311 -4.4 127,578 0.7 147,291 3.4 165,730 -0.2 113,182 -1.0 109,794 6.0 128,116 -6.6 110,897 4.8 Q4 133,292 -3.6 117,243 -8.1 145,195 -1.4 169,545 2.3 121,036 6.9 112,722 2.7 132,686 3.6 107,177 -3.42011 Q1 136,057 2.1 121,466 3.6 157,928 8.8 167,139 -1.4 114,435 -5.5 108,803 -3.5 135,054 1.8 107,980 0.7 Q2 134,527 -1.1 131,712 8.4 149,733 -5.2 177,154 6.0 123,977 8.3 109,794 0.9 127,671 -5.5 107,780 -0.2 Q3 141,396 5.1 135,060 2.5 160,885 7.4 174,502 -1.5 121,544 -2.0 111,293 1.4 154,319 20.9 113,716 5.5 Q4 139,871 -1.1 137,913 2.1 154,942 -3.7 183,174 5.0 133,575 9.9 108,576 -2.4 141,237 -8.5 111,561 -1.92012 Q1 138,885 -0.7 137,980 0.0 162,843 5.1 180,575 -1.4 142,720 6.8 106,193 -2.2 148,143 4.9 115,489 3.5 Q2 151,196 8.9 146,426 6.1 175,850 8.0 179,449 -0.6 140,243 -1.7 112,484 5.9 150,628 1.7 114,499 -0.9 Q3 158,378 4.7 148,649 1.5 175,079 -0.4 186,204 3.8 150,452 7.3 118,004 4.9 142,645 -5.3 120,729 5.4 Q4 168,765 6.6 160,451 7.9 179,010 2.2 198,390 6.5 150,098 -0.2 129,043 9.4 153,247 7.4 120,117 -0.52013 Q1 175,354 3.9 162,585 1.3 183,803 2.7 207,356 4.5 157,180 4.7 124,873 -3.2 166,842 8.9 132,280 10.1 Q2 183,854 4.8 174,365 7.2 193,347 5.2 206,331 -0.5 152,707 -2.8 120,847 -3.2 176,278 5.7 131,704 -0.4 Q3 190,701 3.7 183,922 5.5 193,367 0.0 216,541 4.9 148,920 -2.5 121,487 0.5 183,677 4.2 128,338 -2.6 Q4 188,137 -1.3 188,478 2.5 198,535 2.7 217,191 0.3 150,984 1.4 141,047 16.1 197,977 7.8 135,728 5.82014 Q1 199,689 6.1 193,227 2.5 206,219 3.9 230,731 6.2 151,818 0.6 146,978 4.2 205,397 3.7 141,804 4.5 Q2 216,223 8.3 204,885 6.0 223,118 8.2 235,421 2.0 155,672 2.5 149,628 1.8 221,369 7.8 162,911 14.9 Q3 224,169 3.7 210,838 2.9 227,704 2.1 237,049 0.7 153,613 -1.3 153,625 2.7 219,174 -1.0 152,200 -6.6 Q4 217,248 -3.1 230,309 9.2 222,247 -2.4 233,919 -1.3 152,920 -0.5 155,441 1.2 228,319 4.2 153,817 1.12015 Q1 216,351 -0.4 240,231 4.3 218,744 -1.6 237,008 1.3 157,410 2.9 159,220 2.4 218,392 -4.3 163,131 6.1 Q2 220,837 2.1 233,410 -2.8 224,322 2.5 244,681 3.2 165,497 5.1 159,533 0.2 223,290 2.2 169,647 4.0 Q3 230,448 4.4 231,922 -0.6 225,600 0.6 249,457 2.0 167,270 1.1 165,414 3.7 237,850 6.5 164,683 -2.9 Q4 234,549 1.8 228,945 -1.3 225,658 0.0 250,153 0.3 173,615 3.8 169,024 2.2 233,385 -1.9 174,561 6.02016 Q1 241,394 2.9 244,377 6.7 229,935 1.9 254,692 1.8 180,788 4.1 170,587 0.9 235,873 1.1 175,060 0.3 Q2 243,958 1.1 248,378 1.6 237,717 3.4 264,574 3.9 184,793 2.2 172,677 1.2 241,171 2.2 181,326 3.6 Q3 249,727 2.4 272,105 9.6 236,957 -0.3 268,746 1.6 185,132 0.2 177,341 2.7 243,506 1.0 186,897 3.1 Q4 252,804 1.2 275,702 1.3 242,454 2.3 274,415 2.1 181,999 -1.7 179,013 0.9 243,914 0.2 183,094 -2.02017 Q1P 258,953 2.4 284,724 3.3 241,090 -0.6 279,343 1.8 183,768 1.0 185,997 3.9 247,858 1.6 188,847 3.1

4 . 03 Johor : Harga Purata Rumah Teres Mengikut Kawasan Johor : Average Terraced House Price by Region


Pulau Pinang


Index 1-Yr % Change Annual (2010 = 100) 2009 96.9 94.2 96.5 104.4 102.3 2010 100.0 3.2 100.0 6.1 100.0 3.6 100.0 -4.2 100.0 -2.2 2011 109.5 9.5 108.7 8.7 111.8 11.8 100.2 0.2 111.7 11.7 2012 123.5 12.7 121.3 11.5 129.1 15.5 107.5 7.2 123.9 10.9 2013 143.0 15.8 135.8 12.0 154.0 19.3 136.4 26.9 142.6 15.1 2014 159.8 11.7 150.7 10.9 175.2 13.8 155.8 14.3 154.1 8.1 2015 171.4 7.3 160.1 6.3 189.1 7.9 168.2 8.0 168.4 9.3 2016 180.7 5.4 163.9 2.4 204.3 8.1 172.8 2.7 179.7 6.7

Quarterly (2010 = 100) 2009 Q1 92.7 89.8 90.6 99.7 101.6 Q2 97.0 93.8 97.4 114.3 98.8 Q3 98.1 97.0 95.4 107.4 105.1 Q4 99.7 96.3 102.7 96.3 103.5 2010 Q1 99.5 7.3 96.2 7.1 100.9 11.4 93.8 -5.9 107.4 5.7 Q2 101.0 4.1 99.8 6.4 101.0 3.7 108.8 -4.8 101.4 2.6 Q3 100.8 2.8 100.7 3.8 99.7 4.5 104.5 -2.7 101.1 -3.8 Q4 104.0 4.3 102.6 6.5 107.0 4.2 97.8 1.6 101.1 -2.3 2011 Q1 105.1 5.6 102.6 6.7 108.7 7.7 93.7 -0.1 109.3 1.8 Q2 107.9 6.8 109.9 10.1 105.8 4.8 102.1 -6.2 112.4 10.8 Q3 110.1 9.2 111.8 11.0 111.9 12.3 90.3 -13.6 109.7 8.5 Q4 115.1 10.7 110.6 7.8 120.6 12.7 114.8 17.3 115.3 14.0 2012 Q1 116.9 11.3 118.4 15.4 116.9 7.6 121.2 29.3 111.5 2.0 Q2 122.3 13.3 115.8 5.4 128.9 21.8 110.3 8.0 129.1 14.9 Q3 125.6 14.1 125.6 12.3 132.4 18.3 97.3 7.8 121.5 10.8 Q4 129.2 12.3 125.3 13.3 138.1 14.5 101.0 -12.0 133.4 15.7 2013 Q1 132.2 13.1 129.6 9.5 139.1 19.0 117.3 -3.2 131.1 17.6 Q2 141.3 15.5 134.7 16.3 151.4 17.5 135.2 22.6 140.4 8.8 Q3 147.3 17.3 138.7 10.4 159.7 20.6 146.3 50.4 144.9 19.3 Q4 151.3 17.1 140.3 12.0 165.8 20.1 146.6 45.1 153.9 15.4 2014 Q1 153.5 16.1 143.7 10.9 169.0 21.5 147.4 25.7 149.9 14.3 Q2 158.1 11.9 149.6 11.1 174.3 15.1 153.3 13.4 148.2 5.6 Q3 163.1 10.7 154.0 11.0 178.9 12.0 159.5 9.0 157.3 8.6 Q4 164.4 8.7 155.4 10.8 178.5 7.7 163.1 11.3 161.0 4.6 2015 Q1 165.6 7.9 154.6 7.6 182.3 7.9 168.2 14.1 164.7 9.9 Q2 168.5 6.6 157.0 4.9 186.2 6.8 165.1 7.7 164.4 10.9 Q3 174.2 6.8 163.7 6.3 192.1 7.4 166.4 4.3 168.2 6.9 Q4 177.3 7.8 165.2 6.3 195.6 9.6 173.2 6.2 176.4 9.6 2016 Q1 176.9 6.8 161.1 4.2 196.8 8.0 171.9 2.2 179.6 9.1 Q2 179.1 6.3 162.4 3.4 201.4 8.2 175.5 6.3 179.1 8.9 Q3 183.8 5.5 167.5 2.3 209.5 9.1 173.9 4.5 180.0 7.0 Q4 182.9 3.2 164.6 -0.4 209.6 7.2 169.7 -2.0 179.9 2.0 2017 Q1P 186.0 5.1 168.1 4.3 211.5 7.5 178.9 4.1 181.8 1.2

5 . 0 Indeks Harga Rumah Pulau Pinang Mengikut Jenis Rumah Pulau Pinang House Price Index By House Type

P - Preliminary


P - Preliminary


5.01 Harga Purata Rumah Pulau Pinang Mengikut Jenis Rumah Pulau Pinang Average House Price By House Type

Annual (2010 = 100) 2009 217,266 256,246 159,205 394,726 321,624 2010 224,190 271,890 165,197 377,688 314,517 2011 245,591 295,666 183,932 378,818 351,284 2012 276,981 329,806 212,003 406,015 389,702 2013 320,740 369,328 251,105 515,210 448,590 2014 358,278 409,744 284,634 588,808 484,893 2015 384,318 435,399 306,958 635,668 529,921 2016 405,195 445,700 331,777 652,827 565,127

Quarterly (2010 = 100) 2009 Q1 207,959 244,082 159,403 376,944 319,504 Q2 217,624 4.6 255,146 4.5 171,439 7.6 432,051 14.6 310,790 -2.7 Q3 219,988 1.1 263,807 3.4 167,866 -2.1 405,933 -6.0 330,721 6.4 Q4 223,494 1.6 261,951 -0.7 180,674 7.6 363,976 -10.3 325,480 -1.6 2010 Q1 223,214 -0.1 261,708 -0.1 177,551 -1.7 354,272 -2.7 338,002 3.8 Q2 226,475 1.5 271,364 3.7 177,743 0.1 411,069 16.0 319,001 -5.6 Q3 226,043 -0.2 273,868 0.9 175,511 -1.3 394,684 -4.0 318,112 -0.3 Q4 233,158 3.1 278,959 1.9 188,226 7.2 369,536 -6.4 317,977 0.0 2011 Q1 235,532 1.0 278,963 0.0 191,129 1.5 354,174 -4.2 343,867 8.1 Q2 241,901 2.7 298,784 7.1 186,087 -2.6 385,900 9.0 353,517 2.8 Q3 246,856 2.0 304,090 1.8 196,954 5.8 341,260 -11.6 345,025 -2.4 Q4 258,074 4.5 300,826 -1.1 212,177 7.7 433,939 27.2 362,729 5.1 2012 Q1 262,175 1.6 321,953 7.0 205,692 -3.1 458,103 5.6 350,712 -3.3 Q2 274,361 4.6 314,852 -2.2 226,776 10.2 416,628 -9.1 406,120 15.8 Q3 281,705 2.7 341,570 8.5 232,909 2.7 367,755 -11.7 382,166 -5.9 Q4 289,682 2.8 340,849 -0.2 243,072 4.4 381,574 3.8 419,809 9.9 2013 Q1 296,501 2.4 352,544 3.4 244,783 0.7 443,138 16.1 412,361 -1.8 Q2 316,924 6.9 366,158 3.9 266,422 8.8 510,785 15.3 441,829 7.1 Q3 330,311 4.2 377,196 3.0 281,011 5.5 552,872 8.2 455,946 3.2 Q4 339,225 2.7 381,415 1.1 291,798 3.8 554,042 0.2 484,224 6.2 2014 Q1 344,291 1.5 390,848 2.5 297,386 1.9 557,014 0.5 471,616 -2.6 Q2 354,538 3.0 406,826 4.1 306,673 3.1 579,194 4.0 466,355 -1.1 Q3 365,653 3.1 418,812 2.9 314,807 2.7 602,730 4.1 494,931 6.1 Q4 368,630 0.8 422,489 0.9 314,005 -0.3 616,295 2.3 506,669 2.4 2015 Q1 371,365 0.7 420,349 -0.5 320,714 2.1 635,531 3.1 518,253 2.3 Q2 377,834 1.7 426,947 1.6 327,627 2.2 623,737 -1.9 517,113 -0.2 Q3 390,557 3.4 445,143 4.3 338,035 3.2 628,849 0.8 529,203 2.3 Q4 397,518 1.8 449,159 0.9 344,199 1.8 654,555 4.1 555,115 4.9 2016 Q1 396,787 -0.2 438,217 -2.4 346,316 0.6 649,557 -0.8 564,953 1.8 Q2 401,688 1.2 441,597 0.8 354,352 2.3 663,213 2.1 563,268 -0.3 Q3 412,247 2.6 455,494 3.1 368,556 4.0 657,244 -0.9 566,326 0.5 Q4 410,058 -0.5 447,491 -1.8 368,744 0.1 641,296 -2.4 565,962 -0.1 2017 Q1P 417,109 1.7 457,081 2.1 372,201 0.9 675,802 5.4 571,865 1.0


P - Preliminary

Pulau Pinang Penang Island Seberang Perai

Weight (2010 =100) 100.0 26.7 73.3

Index 1-Yr % Change Annual (2010 = 100) 2009 94.2 92.9 96.0 2010 100.0 6.1 100.0 7.7 100.0 4.1 2011 108.7 8.7 110.8 10.8 106.8 6.8 2012 121.3 11.5 123.2 11.2 118.8 11.2 2013 135.8 12.0 135.4 9.9 136.4 14.8 2014 150.7 10.9 148.7 9.8 153.3 12.4 2015 160.1 6.3 157.1 5.6 164.1 7.1 2016 163.9 2.4 155.6 -0.9 174.8 6.5

Quarterly (2010 = 100) 2009 Q1 89.8 87.3 92.9 Q2 93.8 92.1 96.1 Q3 97.0 96.4 97.8 Q4 96.3 95.6 97.3 2010 Q1 96.2 7.1 93.5 7.1 99.8 7.4 Q2 99.8 6.4 99.9 8.5 99.7 3.7 Q3 100.7 3.8 100.6 4.4 100.9 3.2 Q4 102.6 6.5 103.7 8.5 101.1 3.9 2011 Q1 102.6 6.7 100.4 7.4 105.5 5.7 Q2 109.9 10.1 112.6 12.7 109.2 9.5 Q3 111.8 11.0 117.2 16.5 104.8 3.9 Q4 110.6 7.8 112.9 8.9 107.7 6.5 2012 Q1 118.4 15.4 121.5 21.0 114.3 8.3 Q2 115.8 5.4 116.2 3.2 115.3 5.6 Q3 125.6 12.3 129.1 10.2 121.1 15.6 Q4 125.3 13.3 126.1 11.7 124.4 15.5 2013 Q1 129.6 9.5 129.0 6.2 130.5 14.2 Q2 134.7 16.3 134.7 15.9 134.5 16.7 Q3 138.7 10.4 136.7 5.9 141.3 16.7 Q4 140.3 12.0 141.1 11.9 139.1 11.8 2014 Q1 143.7 10.9 140.2 8.7 148.4 13.7 Q2 149.6 11.1 147.7 9.7 152.0 13.0 Q3 154.0 11.0 153.1 12.0 155.2 9.8 Q4 155.4 10.8 153.8 9.0 157.4 13.2 2015 Q1 154.6 7.6 151.5 8.1 158.6 6.9 Q2 157.0 4.9 154.4 4.5 160.4 5.5 Q3 163.7 6.3 162.4 6.1 165.4 6.6 Q4 165.2 6.3 159.9 4.0 172.0 9.3 2016 Q1 161.1 4.2 153.7 1.5 170.9 7.8 Q2 162.4 3.4 153.5 -0.6 174.0 8.5 Q3 167.5 2.3 158.8 -2.2 178.8 8.1 Q4 164.6 -0.4 156.3 -2.3 175.3 1.9 2017 Q1P 168.1 4.3 159.5 3.8 179.2 4.9

5 . 02 Pulau Pinang : Indeks Harga Rumah Teres Mengikut Kawasan Pulau Pinang : Terraced House Price Index by Region


P - Preliminary


Weight (2010 =100) 100.0 26.7 73.3

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 256,246 535,160 154,698 2010 271,890 576,328 161,155 2011 295,666 638,287 172,080 2012 329,806 710,122 191,338 2013 369,328 780,376 219,672 2014 409,744 856,948 246,923 2015 435,399 905,061 264,402 2016 445,700 896,603 281,532

Quarterly (2010 = 100) 2009 Q1 244,082 503,171 149,751 Q2 255,146 4.5 530,789 5.5 154,788 3.4 Q3 263,807 3.4 555,732 4.7 157,521 1.8 Q4 261,951 -0.7 550,949 -0.9 156,731 -0.5 2010 Q1 261,708 -0.1 538,931 -2.2 160,775 2.6 Q2 271,364 3.7 575,512 6.8 160,628 -0.1 Q3 273,868 0.9 579,787 0.7 162,487 1.2 Q4 278,959 1.9 597,652 3.1 162,928 0.3 2011 Q1 278,963 0.0 578,461 -3.2 169,921 4.3 Q2 298,784 7.1 649,093 12.2 175,970 3.6 Q3 304,090 1.8 675,183 4.0 168,880 -4.0 Q4 300,826 -1.1 650,411 -3.7 173,547 2.8 2012 Q1 321,953 7.0 700,475 7.7 184,139 6.1 Q2 314,852 -2.2 669,405 -4.4 185,764 0.9 Q3 341,570 8.5 743,980 11.1 195,059 5.0 Q4 340,849 -0.2 726,628 -2.3 200,392 2.7 2013 Q1 352,544 3.4 743,511 2.3 210,198 4.9 Q2 366,158 3.9 776,561 4.4 216,736 3.1 Q3 377,196 3.0 788,007 1.5 227,626 5.0 Q4 381,415 1.1 813,424 3.2 224,126 -1.5 2014 Q1 390,848 2.5 807,703 -0.7 239,076 6.7 Q2 406,826 4.1 851,443 5.4 244,948 2.5 Q3 418,812 2.9 882,432 3.6 250,014 2.1 Q4 422,489 0.9 886,214 0.4 253,653 1.5 2015 Q1 420,349 -0.5 873,085 -1.5 255,514 0.7 Q2 426,947 1.6 889,627 1.9 258,491 1.2 Q3 445,143 4.3 935,942 5.2 266,450 3.1 Q4 449,159 0.9 921,589 -1.5 277,154 4.0 2016 Q1 438,217 -2.4 885,666 -3.9 275,307 -0.7 Q2 441,597 0.8 884,676 -0.1 280,278 1.8 Q3 455,494 3.1 915,148 3.4 288,141 2.8 Q4 447,491 -1.8 900,923 -1.6 282,403 -2.0 2017 Q1P 457,081 2.1 919,356 2.0 288,773 2.3

5 . 03 Pulau Pinang : Harga Purata Rumah Teres Mengikut Kawasan Pulau Pinang : Average Terraced House Price by Region


P - Preliminary


Weight (2010 =100) 100.0 88.4 11.6

Index 1-Yr % Change Annual (2010 = 100) 2009 96.4 96.5 94.4 2010 100.0 3.7 100.0 3.6 100.0 6.0 2011 111.4 11.4 111.8 11.8 105.8 5.8 2012 128.4 15.2 129.1 15.5 117.0 10.6 2013 152.0 18.4 154.0 19.3 120.3 2.8 2014 172.3 13.4 175.2 13.8 127.0 5.5 2015 185.8 7.8 189.1 7.9 134.6 6.0 2016 200.9 8.1 204.3 8.1 146.0 8.4

Quarterly (2010 = 100) 2009 Q1 90.8 90.6 93.8 Q2 97.1 97.4 92.3 Q3 95.3 95.4 92.9 Q4 102.4 102.7 98.4 2010 Q1 100.7 10.9 100.9 11.4 97.9 4.4 Q2 101.5 4.5 101.0 3.7 112.7 22.1 Q3 100.2 5.1 99.7 4.5 107.5 15.7 Q4 106.7 4.2 107.0 4.2 102.8 4.5 2011 Q1 108.2 7.4 108.7 7.7 98.2 0.3 Q2 105.9 4.3 105.8 4.8 111.0 -1.5 Q3 111.6 11.4 111.9 12.3 105.7 -1.6 Q4 119.9 12.4 120.6 12.7 108.2 5.3 2012 Q1 116.6 7.8 116.9 7.6 111.5 13.5 Q2 128.9 21.7 128.9 21.8 129.8 16.9 Q3 131.7 18.0 132.4 18.3 120.2 13.7 Q4 136.3 13.7 138.1 14.5 106.6 -1.5 2013 Q1 137.8 18.2 139.1 19.0 116.7 4.7 Q2 149.8 16.2 151.4 17.5 124.6 -4.0 Q3 157.6 19.7 159.7 20.6 123.4 2.7 Q4 162.9 19.5 165.8 20.1 116.6 9.4 2014 Q1 166.4 20.8 169.0 21.5 124.4 6.6 Q2 171.6 14.6 174.3 15.1 128.4 3.0 Q3 175.8 11.5 178.9 12.0 126.7 2.7 Q4 175.5 7.7 178.5 7.7 128.5 10.2 2015 Q1 179.2 7.7 182.3 7.9 130.7 5.1 Q2 182.9 6.6 186.2 6.8 130.2 1.4 Q3 188.8 7.4 192.1 7.4 136.3 7.6 Q4 192.4 9.6 195.6 9.6 141.3 10.0 2016 Q1 193.8 8.1 196.8 8.0 146.0 11.7 Q2 198.2 8.4 201.4 8.2 147.1 13.0 Q3 205.7 9.0 209.5 9.1 145.7 6.9 Q4 205.8 7.0 209.6 7.2 145.0 2.6 2017 Q1P 208.0 7.3 211.5 7.5 151.5 3.8

5 . 04 Pulau Pinang : Indeks Harga Unit Bertingkat Tinggi Mengikut Kawasan Pulau Pinang : High-Rise Unit Price Index by Region


P - Preliminary


Weight (2010 =100) 100.0 88.4 11.6


Quarterly (2010 = 100) 2009 Q1 149,924 159,403 77,959 Q2 160,413 7.0 171,439 7.6 76,706 -1.6 Q3 157,315 -1.9 167,866 -2.1 77,215 0.7 Q4 169,167 7.5 180,674 7.6 81,811 6.0 2010 Q1 166,358 -1.7 177,551 -1.7 81,386 -0.5 Q2 167,611 0.8 177,743 0.1 93,673 15.1 Q3 165,484 -1.3 175,511 -1.3 89,361 -4.6 Q4 176,265 6.5 188,226 7.2 85,460 -4.4 2011 Q1 178,624 1.3 191,129 1.5 81,638 -4.5 Q2 174,841 -2.1 186,087 -2.6 92,330 13.1 Q3 184,307 5.4 196,954 5.8 87,924 -4.8 Q4 197,955 7.4 212,177 7.7 89,979 2.3 2012 Q1 192,541 -2.7 205,692 -3.1 92,701 3.0 Q2 212,942 10.6 226,776 10.2 107,919 16.4 Q3 217,435 2.1 232,909 2.7 99,961 -7.4 Q4 225,094 3.5 243,072 4.4 88,602 -11.4 2013 Q1 227,589 1.1 244,783 0.7 97,059 9.5 Q2 247,466 8.7 266,422 8.8 103,558 6.7 Q3 260,249 5.2 281,011 5.5 102,625 -0.9 Q4 269,117 3.4 291,798 3.8 96,930 -5.5 2014 Q1 274,812 2.1 297,386 1.9 103,433 6.7 Q2 283,403 3.1 306,673 3.1 106,741 3.2 Q3 290,426 2.5 314,807 2.7 105,332 -1.3 Q4 289,894 -0.2 314,005 -0.3 106,849 1.4 2015 Q1 296,037 2.1 320,714 2.1 108,693 1.7 Q2 302,098 2.0 327,627 2.2 108,283 -0.4 Q3 311,884 3.2 338,035 3.2 113,347 4.7 Q4 317,814 1.9 344,199 1.8 117,505 3.7 2016 Q1 320,142 0.7 346,316 0.6 121,428 3.3 Q2 327,345 2.3 354,352 2.3 122,312 0.7 Q3 339,763 3.8 368,556 4.0 121,174 -0.9 Q4 339,858 0.0 368,744 0.1 120,566 -0.5 2017 Q1P 343,543 1.1 372,201 0.9 125,974 4.5

5 . 05 Pulau Pinang : Harga Purata Unit Bertingkat Tinggi Mengikut Kawasan Pulau Pinang : Average High-Rise Unit Price by Region


Negeri Sembilan

P - Preliminary


Index 1-Yr % Change Annual (2010 = 100) 2009 96.9 97.2 98.2 94.5 99.7 2010 100.0 3.3 100.0 2.9 100.0 1.9 100.0 5.9 100.0 0.3 2011 111.1 11.1 113.4 13.4 101.2 1.2 111.0 11.0 110.5 10.5 2012 120.0 8.0 123.6 9.0 107.7 6.4 112.4 1.3 130.6 14.7 2013 127.2 6.1 132.0 6.8 113.6 5.5 120.3 7.0 128.5 1.5 2014 138.5 8.8 143.7 8.9 123.8 9.0 127.6 6.0 140.9 9.6 2015 149.6 8.0 156.6 9.0 129.4 4.5 134.9 5.7 153.1 8.6 2016 162.4 8.6 172.2 9.9 140.7 8.8 142.7 5.8 164.2 7.3

Quarterly (2010 = 100) 2009 Q1 96.7 95.7 97.7 94.8 104.3 Q2 97.3 98.9 99.9 91.7 100.5 Q3 97.3 97.2 97.0 97.7 97.1 Q4 96.1 96.9 98.0 93.6 96.9 2010 Q1 98.5 1.9 98.7 3.1 103.6 6.0 94.5 -0.3 104.3 0.0 Q2 99.2 2.0 99.3 0.4 97.9 -2.0 97.6 6.4 102.6 2.1 Q3 101.5 4.3 100.7 3.6 103.7 6.9 104.3 6.8 98.3 1.2 Q4 103.4 7.6 106.6 10.0 108.7 10.9 95.7 2.2 105.7 9.1 2011 Q1 110.0 11.7 113.9 15.4 105.6 1.9 104.3 10.4 113.1 8.4 Q2 109.2 10.1 110.2 11.0 98.9 1.0 106.2 8.8 110.8 8.0 Q3 111.2 9.6 112.7 11.9 105.9 2.1 111.2 6.6 109.2 11.1 Q4 114.0 10.3 116.8 9.6 94.2 -13.3 122.3 27.8 108.7 2.8 2012 Q1 121.3 10.3 125.4 10.1 111.5 5.6 122.6 17.5 121.2 7.2 Q2 118.2 8.2 119.6 8.5 104.7 5.9 112.0 5.5 128.4 15.8 Q3 118.0 6.1 121.2 7.5 99.8 -5.8 109.1 -1.9 126.4 15.8 Q4 122.3 7.2 128.2 9.8 114.6 21.7 106.0 -13.3 130.6 20.1 2013 Q1 122.9 1.3 126.1 0.6 117.3 5.2 112.6 -8.2 130.7 7.8 Q2 125.9 6.5 130.6 9.2 115.2 10.0 125.1 11.7 122.5 -4.6 Q3 129.0 9.3 135.0 11.4 108.5 8.7 122.6 12.4 127.9 1.2 Q4 131.1 7.2 136.3 6.3 113.4 -1.0 121.0 14.2 133.0 1.8 2014 Q1 130.4 6.1 135.1 7.1 115.1 -1.9 119.2 5.9 135.7 3.8 Q2 137.1 8.9 141.8 8.6 125.1 8.6 125.5 0.3 142.7 16.5 Q3 142.2 10.3 147.1 9.0 130.3 20.1 131.7 7.4 144.9 13.3 Q4 144.1 9.9 150.8 10.6 124.7 10.0 133.9 10.7 140.2 5.4 2015 Q1 141.5 8.5 147.3 9.0 125.4 8.9 129.7 8.8 143.5 5.7 Q2 147.8 7.8 153.9 8.5 132.5 5.9 133.1 6.1 154.2 8.1 Q3 153.5 7.9 160.4 9.0 131.2 0.7 138.5 5.2 159.0 9.7 Q4 155.5 7.9 164.9 9.4 128.3 2.9 138.2 3.2 155.5 10.9 2016 Q1 156.6 10.7 166.3 12.9 137.8 9.9 137.0 5.6 157.7 9.9 Q2 159.9 8.2 168.7 9.6 138.3 4.4 141.6 6.4 163.3 5.9 Q3 165.6 7.9 176.4 10.0 145.1 10.6 143.3 3.5 167.6 5.4 Q4 167.5 7.7 177.3 7.5 141.5 10.3 149.0 7.8 168.0 8.0 2017 Q1P 169.7 8.4 180.4 8.5 149.9 8.8 149.3 9.0 168.4 6.8

6. 0 Indeks Harga Rumah Negeri Sembilan Mengikut Jenis Rumah Negeri Sembilan House Price Index By House Type


P - Preliminary


6.01 Harga Purata Rumah Negeri Sembilan Mengikut Jenis Rumah Negeri Sembilan Average House Price By House Type

Annual (2010 = 100) 2009 130,009 106,519 66,206 247,419 204,088 2010 134,205 3.2 109,553 2.8 67,453 1.9 261,890 5.85 204,630 0.3 2011 149,124 11.1 124,304 13.5 68,230 1.2 290,857 11.06 226,073 10.5 2012 161,019 8.0 135,463 9.0 72,616 6.4 294,609 1.29 259,218 14.7 2013 170,805 6.1 144,689 6.8 76,640 5.5 315,275 7.02 263,018 1.5 2014 185,846 8.8 157,483 8.8 83,496 8.9 334,289 6.03 288,333 9.6 2015 200,778 8.0 171,664 9.0 87,250 4.5 353,407 5.72 313,245 8.6 2016 218,008 8.6 188,694 9.9 94,902 8.8 373,963 5.82 335,995 7.3

Quarterly (2010 = 100) 2009 Q1 129,768 104,924 65,889 248,336 213,460 Q2 130,640 0.7 108,396 3.3 67,383 2.3 240,299 -3.2 205,770 -3.6 Q3 130,599 0.0 106,508 -1.7 65,413 -2.9 255,916 6.5 198,782 -3.4 Q4 129,027 -1.2 106,249 -0.2 66,139 1.1 245,124 -4.2 198,338 -0.2 2010 Q1 132,266 2.5 108,152 1.8 69,893 5.7 247,659 1.0 213,367 7.6 Q2 133,206 0.7 108,821 0.6 66,055 -5.5 255,657 3.2 210,075 -1.5 Q3 136,187 2.2 110,340 1.4 69,979 5.9 273,284 6.9 201,151 -4.2 Q4 138,768 1.9 116,783 5.8 73,322 4.8 250,629 -8.3 216,294 7.5 2011 Q1 147,643 6.4 124,792 6.9 71,241 -2.8 273,401 9.1 231,494 7.0 Q2 146,568 -0.7 120,836 -3.2 66,698 -6.4 278,299 1.8 226,861 -2.0 Q3 149,224 1.8 123,547 2.2 71,425 7.1 291,279 4.7 223,506 -1.5 Q4 153,062 2.6 128,039 3.6 63,556 -11.0 320,447 10.0 222,430 -0.5 2012 Q1 162,837 6.4 137,421 7.3 75,189 18.3 321,312 0.3 248,134 11.6 Q2 158,644 -2.6 131,032 -4.6 70,604 -6.1 293,440 -8.7 262,711 5.9 Q3 158,378 -0.2 132,886 1.4 67,339 -4.6 285,858 -2.6 258,777 -1.5 Q4 164,217 3.7 140,512 5.7 77,333 14.8 277,824 -2.8 267,253 3.3 2013 Q1 165,014 0.5 138,254 -1.6 79,155 2.4 294,933 6.2 267,481 0.1 Q2 169,045 2.4 143,103 3.5 77,720 -1.8 327,883 11.2 250,652 -6.3 Q3 173,151 2.4 147,960 3.4 73,175 -5.8 321,189 -2.0 261,701 4.4 Q4 176,010 1.7 149,439 1.0 76,509 4.6 317,097 -1.3 272,236 4.0 2014 Q1 175,002 -0.6 148,111 -0.9 77,627 1.5 312,337 -1.5 277,734 2.0 Q2 184,032 5.2 155,385 4.9 84,372 8.7 328,882 5.3 291,964 5.1 Q3 190,903 3.7 161,189 3.7 87,877 4.2 344,967 4.9 296,644 1.6 Q4 193,447 1.3 165,247 2.5 84,108 -4.3 350,969 1.7 286,991 -3.3 2015 Q1 189,913 -1.8 161,448 -2.3 84,585 0.6 339,851 -3.2 293,694 2.3 Q2 198,384 4.5 168,639 4.5 89,363 5.6 348,770 2.6 315,584 7.5 Q3 206,043 3.9 175,782 4.2 88,533 -0.9 362,872 4.0 325,443 3.1 Q4 208,772 1.3 180,787 2.8 86,518 -2.3 362,137 -0.2 318,258 -2.2 2016 Q1 210,249 0.7 182,262 0.8 92,976 7.5 359,032 -0.9 322,825 1.4 Q2 214,646 2.1 184,867 1.4 93,303 0.4 371,009 3.3 334,256 3.5 Q3 222,313 3.6 193,339 4.6 97,858 4.9 375,471 1.2 343,016 2.6 Q4 224,826 1.1 194,308 0.5 95,469 -2.4 390,339 4.0 343,883 0.3 2017 Q1P 227,826 1.3 197,673 1.7 101,100 5.9 391,254 0.2 344,623 0.2


P - Preliminary

Negeri Seremban Port Tampin & Sembilan Dickson Others Weight (2010 =100) 100.0 68.7 12.1 19.3

Index 1-Yr % Change Annual (2010 = 100) 2009 97.2 95.8 95.5 104.1 2010 100.0 2.9 100.0 4.4 100.0 4.7 100.0 -4.0 2011 113.4 13.4 114.6 14.6 111.1 11.1 109.8 9.8 2012 123.6 9.0 127.2 11.0 112.9 1.6 114.2 4.0 2013 132.0 6.8 136.0 6.9 119.7 6.0 121.9 6.8 2014 143.7 8.9 147.7 8.6 129.9 8.5 134.7 10.5 2015 156.6 9.0 161.4 9.3 140.4 8.0 145.8 8.2 2016 172.2 9.9 179.2 11.0 146.5 4.4 157.4 8.0

Quarterly (2010 = 100)

2009 Q1 95.7 94.0 92.6 104.6 Q2 98.9 98.2 94.1 105.4 Q3 97.2 95.3 96.4 105.0 Q4 96.9 95.7 99.1 101.5 2010 Q1 98.7 3.1 97.6 3.8 103.7 12.0 100.1 -4.3 Q2 99.3 0.4 101.3 3.2 98.3 4.5 98.8 -6.3 Q3 100.7 3.6 100.3 5.2 102.6 6.4 101.0 -3.8 Q4 106.6 10.0 107.4 12.2 106.3 7.2 106.6 5.02011 Q1 113.9 15.4 114.7 17.5 111.9 7.9 109.7 9.6 Q2 110.2 11.0 111.2 9.7 109.2 11.1 109.1 10.4 Q3 112.7 11.9 112.7 12.4 113.5 10.6 112.4 11.3 Q4 116.8 9.6 119.7 11.5 109.8 3.3 108.1 1.42012 Q1 125.4 10.1 130.9 14.1 108.4 -3.1 111.6 1.7 Q2 119.6 8.5 122.4 10.1 110.9 1.6 112.4 3.0 Q3 121.2 7.5 122.9 9.1 114.2 0.6 118.6 5.5 Q4 128.2 9.8 132.7 10.9 118.0 7.5 114.1 5.62013 Q1 126.1 0.6 130.0 -0.7 115.7 6.7 115.2 3.2 Q2 130.6 9.2 133.9 9.4 119.0 7.3 123.2 9.6 Q3 135.0 11.4 139.0 13.1 121.1 6.0 124.7 5.1 Q4 136.3 6.3 140.9 6.2 123.0 4.2 124.5 9.12014 Q1 135.1 7.1 138.2 6.3 126.4 9.2 127.1 10.3 Q2 141.8 8.6 145.1 8.4 130.5 9.7 134.3 9.0 Q3 147.1 9.0 151.4 8.9 133.6 10.3 136.1 9.1 Q4 150.8 10.6 156.1 10.8 129.2 5.0 141.2 13.42015 Q1 147.3 9.0 151.1 9.3 136.7 8.1 136.9 7.7 Q2 153.9 8.5 157.7 8.7 144.6 10.8 142.4 6.0 Q3 160.4 9.0 165.4 9.2 142.8 6.9 149.6 9.9 Q4 164.9 9.4 171.5 9.9 137.3 6.3 154.1 9.12016 Q1 166.3 12.9 173.7 15.0 136.6 -0.1 153.1 11.8 Q2 168.7 9.6 175.6 11.4 146.4 1.2 152.0 6.7 Q3 176.4 10.0 183.4 10.9 152.8 7.0 160.5 7.3 Q4 177.3 7.5 184.2 7.4 150.1 9.3 164.1 6.52017 Q1P 180.4 8.5 188.1 8.3 151.8 11.1 164.2 7.3

6 . 02 Negeri Sembilan : Indeks Harga Rumah Teres Mengikut Kawasan Negeri Sembilan : Terraced House Price Index by Region


Negeri Seremban Port Tampin & Sembilan Dickson Others Weight (2010 =100) 100.0 68.7 12.1 19.3

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 106,519 112,249 99,049 89,833 2010 109,553 117,131 103,667 86,333 2011 124,304 134,280 115,186 94,748 2012 135,463 149,074 116,986 98,518 2013 144,689 159,303 124,096 105,242 2014 157,483 173,064 134,676 116,230 2015 171,664 189,138 145,494 125,774 2016 188,694 209,995 151,837 135,860

Quarterly (2010 = 100) 2009 Q1 104,924 110,183 95,968 90,253 Q2 108,396 3.3 115,044 4.4 97,564 1.7 90,944 0.8 Q3 106,508 -1.7 111,655 -2.9 99,969 2.5 90,567 -0.4 Q4 106,249 -0.2 112,113 0.4 102,697 2.7 87,567 -3.3 2010 Q1 108,152 1.8 114,371 2.0 107,507 4.7 86,381 -1.4 Q2 108,821 0.6 118,763 3.8 101,891 -5.2 85,290 -1.3 Q3 110,340 1.4 117,530 -1.0 106,363 4.4 87,196 2.2 Q4 116,783 5.8 125,799 7.0 110,147 3.6 92,031 5.5 2011 Q1 124,792 6.9 134,448 6.9 116,028 5.3 94,633 2.8 Q2 120,836 -3.2 130,353 -3.0 113,205 -2.4 94,115 -0.5 Q3 123,547 2.2 132,036 1.3 117,673 3.9 96,962 3.0 Q4 128,039 3.6 140,285 6.2 113,838 -3.3 93,283 -3.8 2012 Q1 137,421 7.3 153,362 9.3 112,330 -1.3 96,319 3.3 Q2 131,032 -4.6 143,422 -6.5 114,917 2.3 96,963 0.7 Q3 132,886 1.4 144,002 0.4 118,393 3.0 102,343 5.5 Q4 140,512 5.7 155,512 8.0 122,305 3.3 98,448 -3.8 2013 Q1 138,254 -1.6 152,348 -2.0 119,980 -1.9 99,462 1.0 Q2 143,103 3.5 156,880 3.0 123,364 2.8 106,360 6.9 Q3 147,960 3.4 162,916 3.8 125,559 1.8 107,659 1.2 Q4 149,439 1.0 165,066 1.3 127,483 1.5 107,488 -0.2 2014 Q1 148,111 -0.9 161,893 -1.9 131,017 2.8 109,690 2.0 Q2 155,385 4.9 170,004 5.0 135,259 3.2 115,882 5.6 Q3 161,189 3.7 177,430 4.4 138,536 2.4 117,486 1.4 Q4 165,247 2.5 182,930 3.1 133,892 -3.4 121,861 3.7 2015 Q1 161,448 -2.3 177,064 -3.2 141,736 5.9 118,132 -3.1 Q2 168,639 4.5 184,752 4.3 149,930 5.8 122,921 4.1 Q3 175,782 4.2 193,767 4.9 148,013 -1.3 129,073 5.0 Q4 180,787 2.8 200,969 3.7 142,296 -3.9 132,970 3.0 2016 Q1 182,262 0.8 203,491 1.3 141,569 -0.5 132,090 -0.7 Q2 184,867 1.4 205,744 1.1 151,747 7.2 131,201 -0.7 Q3 193,339 4.6 214,858 4.4 158,424 4.4 138,509 5.6 Q4 194,308 0.5 215,887 0.5 155,606 -1.8 141,639 2.3 2017 Q1P 197,673 1.7 220,449 2.1 157,366 1.1 141,745 0.1

6 . 03 Negeri Sembilan : Harga Purata Rumah Teres Mengikut Kawasan Negeri Sembilan : Average Terraced House Price by Region


Perak

P - Preliminary


Index 1-Yr % Change Annual (2010 = 100) 2009 96.4 96.4 NA 96.2 94.7 2010 100.0 3.7 100.0 3.7 NA 100.0 3.9 100.0 5.6 2011 111.8 11.8 111.0 11.0 NA 113.5 13.5 113.0 13.0 2012 123.2 10.2 122.4 10.3 NA 127.3 12.2 123.0 8.9 2013 132.3 7.3 130.5 6.6 NA 132.9 4.4 138.9 12.9 2014 144.4 9.2 142.6 9.3 NA 149.0 12.1 147.4 6.2 2015 155.6 7.8 154.0 8.0 NA 161.9 8.7 160.3 8.8 2016 164.1 5.5 162.4 5.4 NA 168.1 3.9 167.6 4.6

Quarterly (2010 = 100) 2009 Q1 97.2 97.2 NA 94.4 93.5 Q2 95.6 94.7 NA 101.3 92.5 Q3 94.4 95.3 NA 88.7 96.2 Q4 98.5 98.5 NA 100.6 96.7 2010 Q1 98.0 0.9 97.3 0.1 NA 99.7 5.6 99.0 5.9 Q2 99.2 3.8 99.3 4.9 NA 102.1 0.8 98.2 6.2 Q3 100.5 6.5 101.3 6.3 NA 97.5 9.9 100.4 4.4 Q4 105.2 6.8 103.2 4.8 NA 108.8 8.2 110.3 14.1 2011 Q1 107.9 10.1 107.7 10.7 NA 108.4 8.7 108.3 9.4 Q2 110.8 11.7 109.7 10.5 NA 112.7 10.4 111.1 13.1 Q3 112.4 11.8 111.4 10.0 NA 114.7 17.6 114.6 14.1 Q4 116.1 10.4 115.2 11.6 NA 118.0 8.5 117.9 6.9 2012 Q1 118.6 9.9 119.9 11.3 NA 120.1 10.8 112.1 3.5 Q2 119.8 8.1 119.2 8.7 NA 121.6 7.9 120.7 8.6 Q3 125.3 11.5 123.5 10.9 NA 129.2 12.6 129.4 12.9 Q4 129.2 11.3 127.0 10.2 NA 138.4 17.3 129.9 10.2 2013 Q1 128.1 8.0 128.3 7.0 NA 123.4 2.7 131.5 17.3 Q2 130.5 8.9 129.3 8.5 NA 129.4 6.4 136.3 12.9 Q3 135.2 7.9 133.1 7.8 NA 135.3 4.7 143.9 11.2 Q4 135.2 4.6 131.1 3.2 NA 143.6 3.8 143.8 10.7 2014 Q1 140.6 9.8 138.3 7.8 NA 145.5 17.9 145.8 10.9 Q2 144.0 10.3 143.1 10.7 NA 147.5 14.0 144.3 5.9 Q3 146.9 8.7 145.7 9.5 NA 149.8 10.7 149.2 3.7 Q4 146.1 8.1 143.4 9.4 NA 153.1 6.6 150.4 4.6 2015 Q1 151.3 7.6 149.7 8.2 NA 155.7 7.0 153.7 5.4 Q2 156.0 8.3 154.0 7.6 NA 159.5 8.1 160.6 11.3 Q3 159.0 8.2 157.7 8.2 NA 162.0 8.1 161.6 8.3 Q4 156.1 6.9 154.7 7.9 NA 170.3 11.2 165.4 10.0 2016 Q1 158.9 5.0 155.8 4.1 NA 165.6 6.4 165.5 7.7 Q2 162.2 4.0 160.0 3.9 NA 168.8 5.8 165.2 2.9 Q3 167.8 5.5 167.0 5.9 NA 169.3 4.5 169.7 5.0 Q4 167.5 7.3 166.6 7.7 NA 168.8 -0.9 170.1 2.8 2017 Q1P 166.5 4.8 165.5 6.2 NA 167.0 0.8 170.0 2.7

7. 0 Indeks Harga Rumah Perak Mengikut Jenis Rumah Perak House Price Index By House Type



7.01 Harga Purata Rumah Perak Mengikut Jenis Rumah Perak Average House Price By House Type

Annual (2010 = 100) 2009 110,391 100,182 NA 108,726 188,128 2010 114,517 103,918 NA 112,973 198,579 2011 127,989 115,333 NA 128,199 224,364 2012 141,099 127,198 NA 143,827 244,411 2013 151,386 135,572 NA 150,164 275,847 2014 165,301 148,222 NA 168,274 292,837 2015 178,112 160,083 NA 182,829 318,444 2016 187,858 168,707 NA 189,893 332,943

Quarterly (2010 = 100) 2009 Q1 111,259 101,046 106,594 185,734 Q2 109,478 -1.6 98,375 -2.6 NA 114,423 7.3 183,644 -1.1 Q3 108,088 -1.3 98,996 0.6 NA 100,237 -12.4 191,097 4.1 Q4 112,737 4.3 102,311 3.3 NA 113,649 13.4 192,039 0.5 2010 Q1 112,127 -0.5 101,128 -1.2 NA 112,590 -0.9 196,586 2.4 Q2 113,568 1.3 103,156 2.0 NA 115,307 2.4 195,053 -0.8 Q3 115,099 1.3 105,240 2.0 NA 110,124 -4.5 199,440 2.2 Q4 120,472 4.7 107,243 1.9 NA 122,915 11.6 219,033 9.8 2011 Q1 123,527 2.5 111,923 4.4 NA 122,496 -0.3 215,069 -1.8 Q2 126,857 2.7 113,961 1.8 NA 127,358 4.0 220,636 2.6 Q3 128,702 1.5 115,756 1.6 NA 129,600 1.8 227,542 3.1 Q4 132,871 3.2 119,691 3.4 NA 133,340 2.9 234,210 2.9 2012 Q1 135,807 2.2 124,620 4.1 NA 135,665 1.7 222,686 -4.9 Q2 137,166 1.0 123,874 -0.6 NA 137,369 1.3 239,803 7.7 Q3 143,477 4.6 128,315 3.6 NA 145,893 6.2 257,054 7.2 Q4 147,946 3.1 131,981 2.9 NA 156,379 7.2 258,102 0.4 2013 Q1 146,606 -0.9 133,296 1.0 NA 139,423 -10.8 261,213 1.2 Q2 149,400 1.9 134,410 0.8 NA 146,147 4.8 270,731 3.6 Q3 154,803 3.6 138,292 2.9 NA 152,880 4.6 285,788 5.6 Q4 154,736 0.0 136,290 -1.4 NA 162,205 6.1 285,658 0.0 2014 Q1 161,002 4.0 143,723 5.5 NA 164,305 1.3 289,551 1.4 Q2 164,821 2.4 148,710 3.5 NA 166,651 1.4 286,690 -1.0 Q3 168,192 2.0 151,452 1.8 NA 169,189 1.5 296,270 3.3 Q4 167,190 -0.6 149,004 -1.6 NA 172,951 2.2 298,835 0.9 2015 Q1 173,188 3.6 155,577 4.4 NA 175,850 1.7 305,340 2.2 Q2 178,541 3.1 160,060 2.9 NA 180,168 2.5 319,089 4.5 Q3 182,016 1.9 163,892 2.4 NA 182,959 1.5 320,899 0.6 Q4 178,703 -1.8 160,801 -1.9 NA 192,337 5.1 328,449 2.4 2016 Q1 181,882 1.8 161,867 0.7 NA 187,028 -2.8 328,682 0.1 Q2 185,664 2.1 166,238 2.7 NA 190,676 2.0 328,115 -0.2 Q3 192,110 3.5 173,586 4.4 NA 191,186 0.3 337,081 2.7 Q4 191,775 -0.2 173,137 -0.3 NA 190,683 -0.3 337,894 0.2 2017 Q1P 190,599 -0.6 172,021 -0.6 NA 188,609 -1.1 337,698 -0.1


P - Preliminary

Perak Kinta/ Manjung Batang Hilir Larut Ipoh Padang Perak Matang

Weight (2010 =100) 100.0 64.0 12.8 5.7 5.1 12.3

Index 1-Yr % Change Annual (2010 = 100) 2009 96.4 96.6 95.4 100.3 96.8 94.9 2010 100.0 3.7 100.0 3.5 100.0 4.8 100.0 -0.2 100.0 3.4 100.0 5.3 2011 111.0 11.0 112.3 12.3 112.1 12.1 105.0 5.0 105.0 5.0 107.2 7.2 2012 122.4 10.3 122.3 8.9 129.2 15.2 116.9 11.3 114.2 8.8 120.4 12.3 2013 130.5 6.6 128.1 4.8 139.3 7.8 121.5 4.0 139.6 22.3 132.5 10.0 2014 142.6 9.3 139.7 9.1 156.5 12.4 124.8 2.8 152.9 9.5 144.5 9.1 2015 154.0 8.0 151.7 8.6 168.2 7.5 132.4 6.0 157.3 2.8 157.2 8.8 2016 162.4 5.4 160.3 5.7 174.8 3.9 136.6 3.2 159.5 1.4 170.5 8.5

Quarterly (2010 = 100) 2009 Q1 97.2 99 89.3 99.3 98.3 96 Q2 94.7 95.6 89.6 101.5 94.1 93.3 Q3 95.3 94.9 98.6 98.9 96.3 91.2 Q4 98.5 96.8 104 101.3 98.3 99.2 2010 Q1 97.3 0.1 95.2 -3.8 98.5 10.3 99.8 0.5 99.0 0.7 100.9 5.1 Q2 99.3 4.9 98.5 3.0 101.1 12.8 105.8 4.2 96.1 2.1 101.4 8.7 Q3 101.3 6.3 102.1 7.6 100.2 1.6 99.7 0.8 98.6 2.4 99.4 9.0 Q4 103.2 4.8 103.8 7.2 102.5 -1.4 103.0 1.7 108.0 9.9 100.5 1.3 2011 Q1 107.7 10.7 109.1 14.6 110.0 11.7 100.7 0.9 107.4 8.5 99.9 -1.0 Q2 109.7 10.5 110.4 12.1 113.2 12.0 111.3 5.2 106.0 10.3 104.7 3.3 Q3 111.4 10.0 112.4 10.1 112.5 12.3 103.7 4.0 99.3 0.7 109.1 9.8 Q4 115.2 11.6 117.2 12.9 112.6 9.9 104.4 1.4 107.2 -0.7 115.0 14.4 2012 Q1 119.9 11.3 122.3 12.1 122.5 11.4 111.2 10.4 107.1 -0.3 113.9 14.0 Q2 119.2 8.7 119.4 8.2 122.9 8.6 116.8 4.9 111.6 5.3 117.2 11.9 Q3 123.5 10.9 122.7 9.2 132.1 17.4 118.3 14.1 117.6 18.4 121.1 11.0 Q4 127.0 10.2 124.7 6.4 139.1 23.5 121.1 16.0 120.4 12.3 129.3 12.4 2013 Q1 128.3 7.0 126.0 3.0 135.3 10.4 125.2 12.6 135.3 26.3 130.2 14.3 Q2 129.3 8.5 128.4 7.5 133.9 9.0 117.7 0.8 137.6 23.3 130.5 11.3 Q3 133.1 7.8 131.3 7.0 144.3 9.2 120.8 2.1 142.3 21.0 130.0 7.3 Q4 131.1 3.2 126.7 1.6 143.6 3.2 122.2 0.9 143.2 18.9 139.1 7.6 2014 Q1 138.3 7.8 135.5 7.5 151.5 12.0 118.5 -5.4 150.2 11.0 140.6 8.0 Q2 143.1 10.7 141.3 10.0 157.8 17.8 124.6 5.9 151.7 10.2 138.5 6.1 Q3 145.7 9.5 143.0 8.9 161.7 12.1 127.7 5.7 153.8 8.1 145.1 11.6 Q4 143.4 9.4 139.1 9.8 155.1 8.0 128.5 5.2 156.0 8.9 153.7 10.5 2015 Q1 149.7 8.2 147.0 8.5 163.9 8.2 130.0 9.7 156.0 3.9 152.3 8.3 Q2 154.0 7.6 151.1 6.9 166.7 5.6 135.0 8.3 160.1 5.5 160.2 15.7 Q3 157.7 8.2 157.1 9.9 171.4 6.0 134.6 5.4 156.3 1.6 154.0 6.1 Q4 154.7 7.9 151.5 8.9 170.8 10.1 129.9 1.1 156.7 0.4 162.1 5.5 2016 Q1 155.8 4.1 153.2 4.2 170.3 3.9 132.1 1.6 153.5 -1.6 162.5 6.7 Q2 160.0 3.9 157.0 3.9 173.5 4.1 134.9 -0.1 159.4 -0.4 170.3 6.3 Q3 167.0 5.9 165.8 5.5 176.6 3.0 140.5 4.4 163.5 4.6 175.0 13.6 Q4 166.6 7.7 165.0 8.9 178.7 4.6 138.8 6.9 161.5 3.1 174.2 7.5 2017 Q1P 165.5 6.2 163.9 7.0 177.6 4.3 138.5 4.8 161.3 5.1 172.8 6.3

7 . 02 Perak : Indeks Harga Rumah Teres Mengikut Kawasan Perak : Terraced House Price Index by Region


P - Preliminary

Perak Kinta/ Manjung Batang Hilir Larut Ipoh Padang Perak Matang

Weight (2010 =100) 100.0 64.0 12.8 5.7 5.1 12.3

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 100,182 104,746 119,185 93,473 94,079 93,434 2010 103,918 108,400 124,856 93,249 97,240 98,446 2011 115,333 121,767 140,045 97,929 102,085 105,477 2012 127,198 132,620 161,331 108,946 110,988 118,466 2013 135,572 138,925 173,996 113,292 135,697 130,367 2014 148,222 151,540 195,537 116,409 148,628 142,189 2015 160,083 164,481 210,130 123,461 152,873 154,666 2016 168,707 173,781 218,305 127,360 155,020 167,802

Quarterly (2010 = 100) 2009 Q1 101,046 107,401 111,587 92,576 95,586 94,473 Q2 98,375 -2.6 103,640 -3.5 111,964 0.3 94,620 2.2 91,516 -4.3 91,859 -2.8 Q3 98,996 0.6 102,935 -0.7 123,221 10.1 92,262 -2.5 93,672 2.4 89,792 -2.3 Q4 102,311 3.3 105,009 2.0 129,966 5.5 94,435 2.4 95,543 2.0 97,611 8.7 2010 Q1 101,128 -1.2 103,224 -1.7 123,040 -5.3 93,046 -1.5 96,274 0.8 99,346 1.8 Q2 103,156 2.0 106,805 3.5 126,282 2.6 98,705 6.1 93,384 -3.0 99,834 0.5 Q3 105,240 2.0 110,763 3.7 125,202 -0.9 93,014 -5.8 95,882 2.7 97,871 -2.0 Q4 107,243 1.9 112,519 1.6 127,978 2.2 96,046 3.3 105,019 9.5 98,938 1.1 2011 Q1 111,923 4.4 118,297 5.1 137,443 7.4 93,897 -2.2 104,444 -0.5 98,335 -0.6 Q2 113,961 1.8 119,759 1.2 141,402 2.9 103,775 10.5 103,073 -1.3 103,044 4.8 Q3 115,756 1.6 121,918 1.8 140,627 -0.5 96,689 -6.8 96,581 -6.3 107,369 4.2 Q4 119,691 3.4 127,093 4.2 140,707 0.1 97,356 0.7 104,242 7.9 113,160 5.4 2012 Q1 124,620 4.1 132,588 4.3 153,055 8.8 103,674 6.5 104,080 -0.2 112,091 -0.9 Q2 123,874 -0.6 129,522 -2.3 153,494 0.3 108,895 5.0 108,528 4.3 115,339 2.9 Q3 128,315 3.6 133,094 2.8 164,969 7.5 110,322 1.3 114,344 5.4 119,190 3.3 Q4 131,981 2.9 135,276 1.6 173,808 5.4 112,895 2.3 117,001 2.3 127,246 6.8 2013 Q1 133,296 1.0 136,672 1.0 169,062 -2.7 116,760 3.4 131,523 12.4 128,152 0.7 Q2 134,410 0.8 139,220 1.9 167,304 -1.0 109,790 -6.0 133,746 1.7 128,444 0.2 Q3 138,292 2.9 142,406 2.3 180,217 7.7 112,661 2.6 138,297 3.4 127,953 -0.4 Q4 136,290 -1.4 137,404 -3.5 179,403 -0.5 113,955 1.1 139,223 0.7 136,920 7.0 2014 Q1 143,723 5.5 146,964 7.0 189,289 5.5 110,538 -3.0 145,989 4.9 138,383 1.1 Q2 148,710 3.5 153,262 4.3 197,120 4.1 116,197 5.1 147,445 1.0 136,303 -1.5 Q3 151,452 1.8 155,058 1.2 202,040 2.5 119,062 2.5 149,467 1.4 142,782 4.8 Q4 149,004 -1.6 150,876 -2.7 193,698 -4.1 119,840 0.7 151,609 1.4 151,287 6.0 2015 Q1 155,577 4.4 159,461 5.7 204,780 5.7 121,245 1.2 151,618 0.0 149,901 -0.9 Q2 160,060 2.9 163,812 2.7 208,256 1.7 125,878 3.8 155,605 2.6 157,631 5.2 Q3 163,892 2.4 170,340 4.0 214,138 2.8 125,545 -0.3 151,978 -2.3 151,562 -3.9 Q4 160,801 -1.9 164,309 -3.5 213,347 -0.4 121,176 -3.5 152,293 0.2 159,569 5.3 2016 Q1 161,867 0.7 166,163 1.1 212,713 -0.3 123,153 1.6 149,240 -2.0 159,934 0.2 Q2 166,238 2.7 170,283 2.5 216,711 1.9 125,785 2.1 154,927 3.8 167,592 4.8 Q3 173,586 4.4 179,750 5.6 220,537 1.8 131,028 4.2 158,956 2.6 172,232 2.8 Q4 173,137 -0.3 178,928 -0.5 223,259 1.2 129,474 -1.2 156,959 -1.3 171,447 -0.5 2017 Q1P 172,021 -0.6 177,714 -0.7 221,791 -0.7 129,151 -0.2 156,846 -0.1 170,071 -0.8

7 . 03 Perak : Purata Harga Rumah Teres Mengikut Kawasan Perak : AverageTerraced House Price by Region


Melaka

P - Preliminary


Index 1-Yr % Change Annual (2010 = 100) 2009 95.7 94.7 94.0 98.6 97.4 2010 100.0 4.5 100.0 5.6 100.0 6.4 100.0 1.4 100.0 2.7 2011 104.4 4.4 103.2 3.2 103.6 3.6 113.8 13.8 103.1 3.1 2012 109.5 4.8 109.9 6.5 115.2 11.2 118.9 4.5 111.3 8.0 2013 116.9 6.8 120.9 10.0 114.2 -0.9 118.9 0.0 114.0 2.4 2014 122.1 4.5 123.8 2.4 119.5 4.6 124.5 4.7 120.2 5.5 2015 132.0 8.1 132.9 7.3 128.5 7.6 135.8 9.0 129.7 7.9 2016 142.2 7.8 146.0 9.9 132.6 3.2 140.2 3.3 137.7 6.2

Quarterly (2010 = 100) 2009 Q1 93.8 92.5 99.9 98.2 92.2 Q2 94.2 92.8 91.5 99.5 93.2 Q3 98.5 98 91.5 104.8 101.3 Q4 96.3 95.4 93.1 91.8 102.8 2010 Q1 95.1 1.4 93.4 1.0 89.4 -10.5 94.2 -4.1 103.6 12.4 Q2 98.7 4.8 98.5 6.1 100.7 10.0 88.6 -11.0 102.0 9.4 Q3 101.5 3.0 101.8 3.9 103.7 13.3 100.6 -4.0 101.5 0.2 Q4 104.6 8.6 101.1 6.0 95.3 2.4 112.3 22.3 104.3 1.5 2011 Q1 101.7 6.9 100.5 7.6 103.2 15.4 103.3 9.7 102.2 -1.4 Q2 103.5 4.9 103.3 4.9 99.1 -1.6 112.7 27.2 102.9 0.9 Q3 105.6 4.0 105.0 3.1 95.5 -7.9 118.4 17.6 102.7 1.2 Q4 106.9 2.2 103.8 2.7 116.4 22.1 120.8 7.6 104.5 0.2 2012 Q1 106.1 4.3 104.4 3.9 120.3 16.6 117.1 13.4 105.5 3.2 Q2 109.9 6.2 108.6 5.1 117.1 18.2 108.9 -3.4 110.1 7.0 Q3 108.2 2.5 109.8 4.6 107.9 12.9 124.1 4.8 116.6 13.5 Q4 113.7 6.4 116.8 12.5 115.5 -0.8 125.6 4.0 113.1 8.2 2013 Q1 118.9 12.1 123.4 18.2 107.8 -10.4 121.0 3.3 113.1 7.2 Q2 117.7 7.1 118.6 9.2 113.1 -3.4 119.3 9.6 117.0 6.3 Q3 114.5 5.8 120.4 9.7 116.8 8.2 115.2 -7.2 113.6 -2.6 Q4 116.4 2.4 121.2 3.8 119.0 3.0 120.0 -4.5 112.1 -0.9 2014 Q1 116.7 -1.9 116.1 -5.9 120.8 12.1 121.4 0.3 114.0 0.8 Q2 121.0 2.8 121.8 2.7 118.6 4.9 122.7 2.8 119.3 2.0 Q3 123.9 8.2 128.0 6.3 118.5 1.5 124.7 8.2 125.4 10.4 Q4 126.8 8.9 129.3 6.7 119.9 0.8 129.2 7.7 122.1 8.9 2015 Q1 126.9 8.7 128.1 10.3 123.6 2.3 133.9 10.3 122.2 7.2 Q2 130.5 7.9 130.1 6.8 131.8 11.1 131.9 7.5 130.0 9.0 Q3 134.9 8.9 135.2 5.6 129.5 9.3 136.0 9.1 136.7 9.0 Q4 135.6 6.9 138.1 6.8 129.0 7.6 141.2 9.3 129.7 6.2 2016 Q1 137.1 8.0 141.1 10.1 128.2 3.7 136.1 1.6 131.2 7.4 Q2 141.2 8.2 146.8 12.8 129.7 -1.6 137.0 3.9 133.1 2.4 Q3 143.0 6.0 144.9 7.2 137.3 6.0 141.1 3.7 141.4 3.4 Q4 147.6 8.8 151.1 9.4 135.1 4.7 146.7 3.9 145.1 11.9 2017 Q1P 147.2 7.4 150.7 6.8 134.4 4.8 146.3 7.5 144.9 10.4

8. 0 Indeks Harga Rumah Melaka Mengikut Jenis Rumah Melaka House Price Index By House Type


P - Preliminary


8.01 Harga Purata Rumah Melaka Mengikut Jenis Rumah Melaka Average House Price By House Type

Annual (2010 = 100) 2009 105,541 88,241 76,317 189,708 247,524 2010 110,262 93,238 81,217 192,465 254,325 2011 115,174 96,164 84,079 219,008 262,111 2012 120,734 102,436 93,511 228,870 283,088 2013 128,889 112,645 92,680 228,780 289,706 2014 134,631 115,404 96,946 239,585 305,607 2015 145,533 123,848 104,287 261,295 329,657 2016 156,876 136,059 107,626 269,858 350,107

Quarterly (2010 = 100) 2009 Q1 103,437 86,222 81,077 189,086 234,283 Q2 103,902 0.4 86,500 0.3 74,346 -8.3 191,472 1.3 236,877 1.1 Q3 108,600 4.5 91,309 5.6 74,307 -0.1 201,677 5.3 257,530 8.7 Q4 106,226 -2.2 88,931 -2.6 75,536 1.7 176,596 -12.4 261,407 1.5 2010 Q1 104,876 -1.3 87,102 -2.1 72,586 -3.9 181,257 2.6 263,427 0.8 Q2 108,888 3.8 91,774 5.4 81,718 12.6 173,727 -4.2 259,329 -1.6 Q3 111,934 2.8 94,906 3.4 84,195 3.0 193,705 11.5 257,993 -0.5 Q4 115,334 3.0 94,264 -0.7 77,400 -8.1 216,138 11.6 265,261 2.8 2011 Q1 112,195 -2.7 93,704 -0.6 83,768 8.2 198,863 -8.0 259,838 -2.0 Q2 114,150 1.7 96,257 2.7 80,462 -3.9 216,897 9.1 261,732 0.7 Q3 116,455 2.0 97,915 1.7 77,579 -3.6 227,843 5.0 261,148 -0.2 Q4 117,894 1.2 96,780 -1.2 94,509 21.8 232,431 2.0 265,724 1.8 2012 Q1 117,036 -0.7 97,306 0.5 97,653 3.3 225,287 -3.1 268,241 0.9 Q2 121,228 3.6 101,221 4.0 95,033 -2.7 209,578 -7.0 279,959 4.4 Q3 119,303 -1.6 102,323 1.1 87,600 -7.8 238,866 14.0 296,545 5.9 Q4 125,368 5.1 108,895 6.4 93,756 7.0 241,748 1.2 287,607 -3.0 2013 Q1 131,112 4.6 114,974 5.6 87,501 -6.7 232,829 -3.7 287,562 0.0 Q2 129,778 -1.0 110,502 -3.9 91,775 4.9 229,646 -1.4 297,585 3.5 Q3 126,306 -2.7 112,179 1.5 94,847 3.3 221,760 -3.4 288,785 -3.0 Q4 128,362 1.6 112,925 0.7 96,596 1.8 230,885 4.1 284,891 -1.3 2014 Q1 128,652 0.2 108,184 -4.2 98,034 1.5 233,678 1.2 289,750 1.7 Q2 133,476 3.7 113,572 5.0 96,245 -1.8 236,119 1.0 303,368 4.7 Q3 136,602 2.3 119,325 5.1 96,166 -0.1 239,919 1.6 318,788 5.1 Q4 139,796 2.3 120,536 1.0 97,339 1.2 248,623 3.6 310,523 -2.6 2015 Q1 139,961 0.1 119,436 -0.9 100,337 3.1 257,785 3.7 310,669 0.0 Q2 143,874 2.8 121,288 1.6 106,991 6.6 253,943 -1.5 330,519 6.4 Q3 148,757 3.4 125,975 3.9 105,129 -1.7 261,771 3.1 347,564 5.2 Q4 149,539 0.5 128,694 2.2 104,690 -0.4 271,680 3.8 329,875 -5.1 2016 Q1 151,255 1.1 131,489 2.2 104,051 -0.6 261,983 -3.6 333,598 1.1 Q2 155,734 3.0 136,864 4.1 105,296 1.2 263,582 0.6 338,357 1.4 Q3 157,694 1.3 135,076 -1.3 111,465 5.9 271,483 3.0 359,474 6.2 Q4 162,819 3.2 140,806 4.2 109,692 -1.6 282,385 4.0 369,001 2.7 2017 Q1P 162,371 -0.3 140,428 -0.3 109,108 -0.5 281,523 -0.3 368,473 -0.1


P - Preliminary

Melaka Melaka Tengah Alor Gajah-Jasin

Weight (2010 =100) 100.0 26.2 73.8


Quarterly (2010 = 100) 2009 Q1 92.5 92.5 92.5 Q2 92.8 89.0 94.9 Q3 98.0 95.7 99.2 Q4 95.4 94.3 96.0 2010 Q1 93.4 1.0 92.3 -0.2 94.1 1.7 Q2 98.5 6.1 95.6 7.4 100.0 5.4 Q3 101.8 3.9 95.5 -0.2 106.6 7.5 Q4 101.1 6.0 98.0 3.9 109.4 14.0 2011 Q1 100.5 7.6 99.4 7.7 101.2 7.5 Q2 103.3 4.9 99.1 3.7 104.7 4.7 Q3 105.0 3.1 101.6 6.4 107.0 0.4 Q4 103.8 2.7 101.4 3.5 105.2 -3.8 2012 Q1 104.4 3.9 102.6 3.2 112.1 10.8 Q2 108.6 5.1 107.2 8.2 109.4 4.5 Q3 109.8 4.6 104.8 3.1 112.5 5.1 Q4 116.8 12.5 110.7 9.2 120.3 14.4 2013 Q1 123.4 18.2 124.2 21.1 115.3 2.9 Q2 118.6 9.2 119.9 11.8 117.8 7.7 Q3 120.4 9.7 121.5 15.9 110.3 -2.0 Q4 121.2 3.8 122.7 10.8 113.6 -5.6 2014 Q1 116.1 -5.9 120.2 -3.2 113.8 -1.3 Q2 121.8 2.7 125.0 4.3 120.1 2.0 Q3 128.0 6.3 128.6 5.8 121.9 10.5 Q4 129.3 6.7 131.5 7.2 128.1 12.8 2015 Q1 128.1 10.3 131.1 9.1 126.5 11.2 Q2 130.1 6.8 135.0 8.0 127.4 6.1 Q3 135.2 5.6 140.9 9.6 132.0 8.3 Q4 138.1 6.8 141.5 7.6 136.1 6.2 2016 Q1 141.1 10.1 143.6 9.5 139.6 10.4 Q2 146.8 12.8 147.8 9.5 146.3 14.8 Q3 144.9 7.2 149.8 6.3 142.2 7.7 Q4 151.1 9.4 151.8 7.3 150.7 10.7 2017 Q1P 150.7 6.8 152.1 5.9 149.9 7.4

8 . 02 Melaka : Indeks Harga Rumah Teres Mengikut Kawasan Melaka : Terraced House Price Index by Region


P - Preliminary

Melaka Melaka Tengah Alor Gajah-Jasin

Weight (2010 =100) 100.0 26.2 73.8


Quarterly (2010 = 100) 2009 Q1 86,222 117,228 75,200 Q2 86,500 0.3 112,826 -3.8 77,142 2.6 Q3 91,309 5.6 121,341 7.5 80,633 4.5 Q4 88,931 -2.6 119,516 -1.5 78,059 -3.2 2010 Q1 87,102 -2.1 117,065 -2.1 76,451 -2.1 Q2 91,774 5.4 121,244 3.6 81,298 6.3 Q3 94,906 3.4 121,124 -0.1 86,670 6.6 Q4 94,264 -0.7 124,270 2.6 88,935 2.6 2011 Q1 93,704 -0.6 126,023 1.4 82,215 -7.6 Q2 96,257 2.7 125,663 -0.3 85,122 3.5 Q3 97,915 1.7 128,792 2.5 86,938 2.1 Q4 96,780 -1.2 128,513 -0.2 85,500 -1.7 2012 Q1 97,306 0.5 130,116 1.2 91,121 6.6 Q2 101,221 4.0 135,826 4.4 88,919 -2.4 Q3 102,323 1.1 132,880 -2.2 91,460 2.9 Q4 108,895 6.4 140,266 5.6 97,743 6.9 2013 Q1 114,974 5.6 157,478 12.3 93,680 -4.2 Q2 110,502 -3.9 152,026 -3.5 95,741 2.2 Q3 112,179 1.5 154,057 1.3 89,626 -6.4 Q4 112,925 0.7 155,542 1.0 92,314 3.0 2014 Q1 108,184 -4.2 152,413 -2.0 92,461 0.2 Q2 113,572 5.0 158,433 3.9 97,625 5.6 Q3 119,325 5.1 163,077 2.9 99,054 1.5 Q4 120,536 1.0 166,630 2.2 104,151 5.1 2015 Q1 119,436 -0.9 166,141 -0.3 102,833 -1.3 Q2 121,288 1.6 171,172 3.0 103,555 0.7 Q3 125,975 3.9 178,565 4.3 107,280 3.6 Q4 128,694 2.2 179,431 0.5 110,657 3.1 2016 Q1 131,489 2.2 182,086 1.5 113,502 2.6 Q2 136,864 4.1 187,362 2.9 118,913 4.8 Q3 135,076 -1.3 189,910 1.4 115,583 -2.8 Q4 140,806 4.2 192,435 1.3 122,453 5.9 2017 Q1P 140,428 -0.3 192,814 0.2 121,806 -0.5

8 . 03 Melaka : Harga Purata Rumah Teres Mengikut Kawasan Melaka : Average Terraced House Price by Region


Kedah

P - Preliminary



Quarterly (2010 = 100) 2009 Q1 92.0 91.9 NA 95.2 91.2 Q2 93.9 93.9 NA 96.6 93.9 Q3 94.9 94.0 NA 95.9 95.8 Q4 96.8 95.1 NA 102.1 97.9 2010 Q1 97.6 6.1 97.1 5.7 NA 95.2 0.0 98.9 8.4 Q2 100.1 6.6 100.8 7.3 NA 97.6 1.0 98.9 5.3 Q3 101.7 7.2 100.4 6.8 NA 113.2 18.0 102.5 7.0 Q4 104.0 7.4 101.9 7.2 NA 113.2 10.9 106.5 8.8 2011 Q1 103.2 5.7 100.7 3.7 NA 108.6 14.1 107.8 9.0 Q2 108.6 8.5 110.7 9.8 NA 109.3 12.0 108.3 9.5 Q3 107.9 6.1 107.6 7.2 NA 114.0 0.7 109.4 6.7 Q4 110.1 5.9 109.0 7.0 NA 114.7 1.3 111.6 4.7 2012 Q1 110.9 7.5 108.4 7.6 NA 126.0 16.0 110.5 2.5 Q2 110.9 2.1 109.7 -0.9 NA 115.2 5.4 111.5 3.0 Q3 115.2 6.8 114.1 6.0 NA 125.5 10.1 113.9 4.1 Q4 116.0 5.4 112.6 3.3 NA 126.2 10.0 118.4 6.1 2013 Q1 121.6 9.6 122.6 13.1 NA 129.7 2.9 117.8 6.6 Q2 122.6 10.6 119.6 9.0 NA 134.7 16.9 123.7 10.9 Q3 126.8 10.1 120.0 5.2 NA 142.0 13.1 133.0 16.8 Q4 126.5 9.1 122.0 8.3 NA 135.8 7.6 130.8 10.5 2014 Q1 129.0 6.1 123.6 0.8 NA 137.9 6.3 135.0 14.6 Q2 129.3 5.5 123.3 3.1 NA 138.8 3.0 135.8 9.8 Q3 131.2 3.5 123.7 3.1 NA 143.5 1.1 139.3 4.7 Q4 134.8 6.6 129.7 6.3 NA 143.5 5.7 140.2 7.2 2015 Q1 135.8 5.3 130.8 5.8 NA 142.8 3.6 141.8 5.0 Q2 138.7 7.3 132.7 7.6 NA 147.3 6.1 145.7 7.3 Q3 139.8 6.6 132.0 6.7 NA 148.7 3.6 149.4 7.3 Q4 142.1 5.4 136.1 4.9 NA 147.0 2.4 150.1 7.1 2016 Q1 144.6 6.5 138.5 5.9 NA 151.9 6.4 152.0 7.2 Q2 147.7 6.5 141.7 6.8 NA 152.0 3.2 155.9 7.0 Q3 149.6 7.0 142.2 7.7 NA 152.5 2.6 160.3 7.3 Q4 150.7 6.1 143.6 5.5 NA 150.7 2.5 161.6 7.7 2017 Q1P 149.4 3.3 142.9 3.2 NA 152.6 0.5 158.4 4.2

9 . 0 Indeks Harga Rumah Kedah Mengikut Jenis Rumah Kedah House Price Index By House Type



9.01 Harga Purata Rumah Kedah Mengikut Jenis Rumah Kedah Average House Price by House Type


Quarterly (2010 = 100) 2009 Q1 119,524 94,774 NA 226,581 163,460 Q2 122,054 2.1 96,829 2.2 NA 229,993 1.5 167,077 2.2 Q3 123,288 1.0 97,005 0.2 NA 228,169 -0.8 171,802 2.8 Q4 125,803 2.0 98,075 1.1 NA 242,972 6.5 175,609 2.2 2010 Q1 126,813 0.8 100,183 2.1 NA 226,729 -6.7 177,304 1.0 Q2 130,106 2.6 103,963 3.8 NA 232,255 2.4 177,371 0.0 Q3 132,174 1.6 103,543 -0.4 NA 269,373 16.0 183,831 3.6 Q4 135,195 2.3 105,077 1.5 NA 269,420 0.0 191,085 3.9 2011 Q1 134,099 -0.8 103,902 -1.1 NA 258,549 -4.0 193,351 1.2 Q2 141,092 5.2 114,157 9.9 NA 260,134 0.6 194,145 0.4 Q3 140,203 -0.6 110,960 -2.8 NA 271,317 4.3 196,185 1.1 Q4 143,092 2.1 112,388 1.3 NA 273,056 0.6 200,016 2.0 2012 Q1 144,131 0.7 111,842 -0.5 NA 299,970 9.9 198,041 -1.0 Q2 144,082 0.0 113,127 1.1 NA 274,171 -8.6 199,835 0.9 Q3 149,686 3.9 117,672 4.0 NA 298,813 9.0 204,272 2.2 Q4 150,784 0.7 116,157 -1.3 NA 300,344 0.5 212,298 3.9 2013 Q1 158,044 4.8 126,441 8.9 NA 308,617 2.8 211,222 -0.5 Q2 159,300 0.8 123,374 -2.4 NA 320,753 3.9 221,796 5.0 Q3 164,809 3.5 123,794 0.3 NA 338,026 5.4 238,502 7.5 Q4 164,408 -0.2 125,851 1.7 NA 323,329 -4.3 234,508 -1.7 2014 Q1 167,726 2.0 127,466 1.3 NA 328,350 1.6 242,044 3.2 Q2 168,049 0.2 127,202 -0.2 NA 330,501 0.7 243,559 0.6 Q3 170,472 1.4 127,550 0.3 NA 341,609 3.4 249,726 2.5 Q4 175,151 2.7 133,741 4.9 NA 341,672 0.0 251,316 0.6 2015 Q1 176,563 0.8 134,872 0.8 NA 339,812 -0.5 254,170 1.1 Q2 180,330 2.1 136,828 1.5 NA 350,637 3.2 261,314 2.8 Q3 181,725 0.8 136,135 -0.5 NA 353,885 0.9 267,931 2.5 Q4 184,745 1.7 140,373 3.1 NA 349,886 -1.1 269,158 0.5 2016 Q1 187,991 1.8 142,901 1.8 NA 361,649 3.4 272,538 1.3 Q2 192,029 2.1 146,116 2.2 NA 361,801 0.0 279,606 2.6 Q3 194,480 1.3 146,644 0.4 NA 362,958 0.3 287,496 2.8 Q4 195,880 0.7 148,155 1.0 NA 358,776 -1.2 289,773 0.8 2017 Q1P 194,157 -0.9 147,417 -0.5 NA 363,352 1.3 284,077 -2.0

P - Preliminary


Kedah Kota Kuala Kubang Kulim Setar Muda Pasu Weight (2010 =100) 100.0 27.0 38.2 7.7 27.1

Index 1-Yr % Change Annual (2010 = 100) 2009 93.7 91.8 97.8 91.2 91.9 2010 100.0 6.7 100.0 9.0 100.0 2.2 100.0 9.6 100.0 8.8 2011 107.0 7.0 104.5 4.5 108.3 8.3 110.3 10.3 107.4 7.4 2012 111.2 3.9 110.5 5.7 105.5 -2.6 124.8 13.1 115.5 7.5 2013 121.1 8.9 119.0 7.6 114.5 8.6 133.6 7.0 128.1 10.9 2014 125.1 3.3 126.6 6.4 113.1 -1.3 136.5 2.2 135.3 5.6 2015 132.9 6.3 134.5 6.3 122.4 8.2 143.5 5.2 140.9 4.1 2016 141.5 6.5 141.6 5.3 132.3 8.1 143.8 0.2 152.4 8.1

Quarterly (2010 = 100) 2009 Q1 91.9 88.1 98.3 89.7 89.5 Q2 93.9 89.9 99.6 91.0 92.8 Q3 94.0 95.2 96.1 89.4 91.3 Q4 95.1 93.8 97.3 94.8 94.1 2010 Q1 97.1 5.7 94.8 7.6 97.7 -0.6 98.2 9.5 99.1 10.7 Q2 100.8 7.3 100.4 11.7 101.0 1.4 107.4 18.0 100.3 8.1 Q3 100.4 6.8 99.7 4.7 99.6 3.6 104.8 17.2 99.9 9.4 Q4 101.9 7.2 101.5 8.2 100.2 3.0 108.1 14.0 102.7 9.1 2011 Q1 100.7 3.7 95.7 0.9 103.8 6.2 105.1 7.0 101.2 2.1 Q2 110.7 9.8 111.2 10.8 113.9 12.8 110.2 2.6 106.4 6.1 Q3 107.6 7.2 105.3 5.6 108.3 8.7 112.7 7.5 108.2 8.4 Q4 109.0 7.0 105.9 4.3 107.2 7.0 113.3 4.8 114.0 11.0 2012 Q1 108.4 7.6 105.0 9.7 107.3 3.4 120.3 14.5 111.1 9.8 Q2 109.7 -0.9 108.1 -2.8 101.2 -11.2 134.3 21.9 115.5 8.6 Q3 114.1 6.0 116.5 10.6 106.9 -1.3 123.4 9.5 117.3 8.4 Q4 112.6 3.3 112.5 6.2 106.5 -0.7 121.3 7.1 118.0 3.5 2013 Q1 122.6 13.1 116.6 11.0 125.1 16.6 127.0 5.6 126.1 13.5 Q2 119.6 9.0 117.7 8.9 114.4 13.0 131.7 -1.9 125.3 8.5 Q3 120.0 5.2 120.2 3.2 109.3 2.2 135.5 9.8 128.8 9.8 Q4 122.0 8.3 121.4 7.9 109.2 2.5 140.1 15.5 132.2 12.1 2014 Q1 123.6 0.8 125.4 7.5 111.2 -11.1 134.5 5.9 135.2 7.2 Q2 123.3 3.1 124.4 5.7 110.1 -3.8 139.1 5.6 134.0 6.9 Q3 123.7 3.1 125.9 4.7 111.8 2.3 139.2 2.7 131.2 1.9 Q4 129.7 6.3 130.5 7.5 119.1 9.1 133.1 -5.0 140.9 6.6 2015 Q1 130.8 5.8 131.2 4.6 120.3 8.2 138.0 2.6 141.3 4.5 Q2 132.7 7.6 135.9 9.2 120.2 9.2 142.2 2.2 141.3 5.4 Q3 132.0 6.7 135.1 7.3 121.3 8.5 147.5 6.0 136.8 4.3 Q4 136.1 4.9 135.8 4.1 127.6 7.1 146.4 10.0 144.3 2.4 2016 Q1 138.5 5.9 139.5 6.3 129.1 7.3 141.9 2.8 148.3 5.0 Q2 141.7 6.8 142.2 4.6 131.4 9.3 143.7 1.1 153.2 8.4 Q3 142.2 7.7 142.3 5.3 133.0 9.6 144.6 -2.0 152.8 11.7 Q4 143.6 5.5 142.4 4.9 135.5 6.2 144.8 -1.1 155.1 7.5 2017 Q1P 142.9 3.2 140.7 0.9 134.2 4.0 145.0 2.2 156.3 5.4

9 . 02 Kedah : Indeks Harga Rumah Teres Mengikut Kawasan Kedah : Terraced House Price Index by Region

P - Preliminary


Kedah Kota Kuala Kubang Kulim Setar Muda Pasu Weight (2010 =100) 100.0 27.0 38.2 7.7 27.1

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 96,671 121,176 85,676 88,729 90,021 2010 103,118 132,062 87,621 97,287 97,895 2011 110,352 138,066 94,871 107,363 105,167 2012 114,699 145,973 92,382 121,457 113,047 2013 124,865 157,158 100,303 129,956 125,441 2014 128,990 167,109 99,036 132,793 132,511 2015 137,052 177,620 107,183 139,615 137,973 2016 145,954 187,012 115,849 139,865 149,190

Quarterly (2010 = 100) 2009 Q1 94,774 116,361 86,076 87,260 87,677 Q2 96,829 2.2 118,719 2.0 87,253 1.4 88,503 1.4 90,897 3.7 Q3 97,005 0.2 125,724 5.9 84,144 -3.6 86,943 -1.8 89,392 -1.7 Q4 98,075 1.1 123,899 -1.5 85,233 1.3 92,210 6.1 92,118 3.0 2010 Q1 100,183 2.1 125,255 1.1 85,602 0.4 95,525 3.6 97,077 5.4 Q2 103,963 3.8 132,625 5.9 88,450 3.3 104,536 9.4 98,166 1.1 Q3 103,543 -0.4 131,666 -0.7 87,216 -1.4 101,994 -2.4 97,759 -0.4 Q4 105,077 1.5 134,043 1.8 87,797 0.7 105,167 3.1 100,538 2.8 2011 Q1 103,902 -1.1 126,331 -5.8 90,884 3.5 102,257 -2.8 99,021 -1.5 Q2 114,157 9.9 146,918 16.3 99,785 9.8 107,247 4.9 104,142 5.2 Q3 110,960 -2.8 139,123 -5.3 94,879 -4.9 109,678 2.3 105,925 1.7 Q4 112,388 1.3 139,894 0.6 93,938 -1.0 110,269 0.5 111,580 5.3 2012 Q1 111,842 -0.5 138,704 -0.9 93,967 0.0 117,050 6.1 108,774 -2.5 Q2 113,127 1.1 142,762 2.9 88,633 -5.7 130,720 11.7 113,072 4.0 Q3 117,672 4.0 153,812 7.7 93,653 5.7 120,024 -8.2 114,829 1.6 Q4 116,157 -1.3 148,616 -3.4 93,274 -0.4 118,035 -1.7 115,512 0.6 2013 Q1 126,441 8.9 154,021 3.6 109,621 17.5 123,578 4.7 123,477 6.9 Q2 123,374 -2.4 155,452 0.9 100,213 -8.6 128,128 3.7 122,682 -0.6 Q3 123,794 0.3 158,784 2.1 95,757 -4.4 131,846 2.9 126,119 2.8 Q4 125,851 1.7 160,374 1.0 95,621 -0.1 136,273 3.4 129,485 2.7 2014 Q1 127,466 1.3 165,664 3.3 97,369 1.8 130,835 -4.0 132,428 2.3 Q2 127,202 -0.2 164,283 -0.8 96,443 -1.0 135,366 3.5 131,245 -0.9 Q3 127,550 0.3 166,207 1.2 97,963 1.6 135,469 0.1 128,446 -2.1 Q4 133,741 4.9 172,282 3.7 104,367 6.5 129,501 -4.4 137,924 7.4 2015 Q1 134,872 0.8 173,269 0.6 105,391 1.0 134,247 3.7 138,317 0.3 Q2 136,828 1.5 179,418 3.5 105,308 -0.1 138,314 3.0 138,367 0.0 Q3 136,135 -0.5 178,444 -0.5 106,281 0.9 143,495 3.7 133,933 -3.2 Q4 140,373 3.1 179,347 0.5 111,752 5.1 142,404 -0.8 141,275 5.5 2016 Q1 142,901 1.8 184,183 2.7 113,053 1.2 138,062 -3.0 145,197 2.8 Q2 146,116 2.2 187,838 2.0 115,113 1.8 139,804 1.3 150,019 3.3 Q3 146,644 0.4 187,906 0.0 116,528 1.2 140,717 0.7 149,646 -0.2 Q4 148,155 1.0 188,122 0.1 118,702 1.9 140,876 0.1 151,900 1.5 2017 Q1P 147,417 -0.5 185,841 -1.2 117,556 -1.0 141,101 0.2 152,995 0.7

9 . 03 Kedah : Harga Purata Rumah Teres Mengikut Kawasan Kedah : Average Terraced House Price by Region

P - Preliminary


Kedah Kota Kuala Kulim Setar Muda Weight (2010 =100) 100.0 27.9 43.2 28.9

Index 1-Yr % Change Annual (2010 = 100) 2009 94.7 97.4 96.0 87.4 2010 100.0 5.6 100.0 2.7 100.0 4.2 100.0 14.4 2011 109.3 9.3 110.3 10.3 111.7 11.7 102.9 2.9 2012 113.6 3.9 120.0 8.8 110.5 -1.1 109.0 5.9 2013 126.3 11.2 132.0 10.0 121.0 9.5 126.4 15.9 2014 137.6 8.9 143.6 8.8 126.9 4.9 145.1 14.9 2015 146.8 6.7 151.6 5.6 136.5 7.6 155.3 7.0 2016 157.5 7.3 154.9 2.2 149.2 9.2 173.7 11.9

Quarterly (2010 = 100) 2009 Q1 91.2 94.0 93.7 80.1 Q2 93.9 94.4 97.9 84.4 Q3 95.8 99.7 95.5 90.6 Q4 97.9 101.4 96.9 94.6 2010 Q1 98.9 8.4 98.1 4.4 97.6 4.2 101.9 27.2 Q2 98.9 5.3 100.8 6.8 98.0 0.1 96.3 14.1 Q3 102.5 7.0 99.4 -0.3 107.1 12.1 96.4 6.4 Q4 106.5 8.8 106.5 5.0 108.9 12.4 99.1 4.7 2011 Q1 107.8 9.0 106.1 8.2 111.7 14.4 101.4 -0.5 Q2 108.3 9.5 114.5 13.6 108.8 11.0 101.2 5.1 Q3 109.4 6.7 112.1 12.8 110.5 3.2 103.4 7.3 Q4 111.6 4.7 108.5 1.9 115.6 6.2 105.8 6.8 2012 Q1 110.5 2.5 110.9 4.5 115.0 3.0 102.9 1.5 Q2 111.5 3.0 118.8 3.8 105.4 -3.1 110.1 8.8 Q3 113.9 4.1 123.5 10.2 108.9 -1.4 107.8 4.3 Q4 118.4 6.1 126.7 16.8 112.6 -2.6 115.3 9.0 2013 Q1 117.8 6.6 125.1 12.8 116.9 1.7 108.7 5.6 Q2 123.7 10.9 127.1 7.0 118.4 12.3 126.9 15.3 Q3 133.0 16.8 137.6 11.4 126.6 16.3 136.1 26.3 Q4 130.8 10.5 138.1 9.0 121.9 8.3 133.7 16.0 2014 Q1 135.0 14.6 140.0 11.9 128.1 9.6 138.3 27.2 Q2 135.8 9.8 142.5 12.1 120.6 1.9 149.2 17.6 Q3 139.3 4.7 147.7 7.3 127.6 0.8 144.7 6.3 Q4 140.2 7.2 144.0 4.3 131.1 7.5 148.3 10.9 2015 Q1 141.8 5.0 144.9 3.5 135.3 5.6 147.1 6.4 Q2 145.7 7.3 149.9 5.2 135.8 12.6 154.8 3.8 Q3 149.4 7.3 157.3 6.5 135.4 6.1 159.3 10.1 Q4 150.1 7.1 154.4 7.2 139.6 6.5 159.9 7.8 2016 Q1 152.0 7.2 155.6 7.4 140.1 3.5 164.8 12.0 Q2 155.9 7.0 153.7 2.5 148.0 9.0 171.1 10.5 Q3 160.3 7.3 155.2 -1.3 153.6 13.4 177.9 11.7 Q4 161.6 7.7 155.1 0.5 154.9 11.0 181.0 13.2 2017 Q1P 158.4 4.2 155.1 -0.3 153.7 9.7 170.3 3.3

9 . 04 Kedah : Indeks Harga Rumah Berkembar Mengikut Kawasan Kedah : Semi-Detached House Price Index by Region

P - Preliminary


P - Preliminary

Kedah Kota Kuala Kulim Setar Muda Weight (2010 =100) 100.0 27.9 43.2 28.9


Quarterly (2010 = 100) 2009 Q1 163,460 219,880 148,828 125,885 Q2 167,077 2.2 220,798 0.4 155,497 4.5 132,643 5.4 Q3 171,802 2.8 233,403 5.7 151,769 -2.4 142,410 7.4 Q4 175,609 2.2 237,226 1.6 153,956 1.4 148,619 4.4 2010 Q1 177,304 1.0 229,634 -3.2 155,024 0.7 160,196 7.8 Q2 177,371 0.0 235,761 2.7 155,684 0.4 151,383 -5.5 Q3 183,831 3.6 232,600 -1.3 170,141 9.3 151,457 0.0 Q4 191,085 3.9 249,241 7.2 172,985 1.7 155,685 2.8 2011 Q1 193,351 1.2 248,372 -0.3 177,415 2.6 159,429 2.4 Q2 194,145 0.4 268,038 7.9 172,809 -2.6 158,958 -0.3 Q3 196,185 1.1 262,420 -2.1 175,509 1.6 162,483 2.2 Q4 200,016 2.0 254,005 -3.2 183,609 4.6 166,249 2.3 2012 Q1 198,041 -1.0 259,464 2.1 182,700 -0.5 161,810 -2.7 Q2 199,835 0.9 277,944 7.1 167,366 -8.4 173,121 7.0 Q3 204,272 2.2 289,043 4.0 172,968 3.3 169,404 -2.1 Q4 212,298 3.9 296,409 2.5 178,926 3.4 181,156 6.9 2013 Q1 211,222 -0.5 292,794 -1.2 185,630 3.7 170,902 -5.7 Q2 221,796 5.0 297,387 1.6 188,024 1.3 199,454 16.7 Q3 238,502 7.5 322,077 8.3 201,060 6.9 213,953 7.3 Q4 234,508 -1.7 323,048 0.3 193,701 -3.7 210,205 -1.8 2014 Q1 242,044 3.2 327,547 1.4 203,432 5.0 217,388 3.4 Q2 243,559 0.6 333,517 1.8 191,623 -5.8 234,516 7.9 Q3 249,726 2.5 345,684 3.6 202,773 5.8 227,461 -3.0 Q4 251,316 0.6 337,049 -2.5 208,245 2.7 233,098 2.5 2015 Q1 254,170 1.1 338,990 0.6 214,913 3.2 231,135 -0.8 Q2 261,314 2.8 350,835 3.5 215,706 0.4 243,240 5.2 Q3 267,931 2.5 368,060 4.9 215,084 -0.3 250,455 3.0 Q4 269,158 0.5 361,194 -1.9 221,813 3.1 251,257 0.3 2016 Q1 272,538 1.3 364,145 0.8 222,547 0.3 259,002 3.1 Q2 279,606 2.6 359,655 -1.2 235,163 5.7 268,912 3.8 Q3 287,496 2.8 363,173 1.0 244,029 3.8 279,555 4.0 Q4 289,773 0.8 362,943 -0.1 246,136 0.9 284,497 1.8 2017 Q1P 284,077 -2.0 362,966 0.0 244,203 -0.8 267,676 -5.9

9 . 05 Kedah : Harga Purata Rumah Berkembar Mengikut Kawasan Kedah : Average Semi-Detached House Price by Region



Index 1-Yr % Change Annual (2010 = 100) 2009 102.3 100.3 NA 115.9 94.3 2010 100.0 -2.2 100.0 -0.3 NA 100.0 -13.7 100.0 6.1 2011 115.6 15.6 115.0 15.0 NA 132.2 32.2 110.6 10.6 2012 131.0 13.3 127.7 11.1 NA 152.5 15.4 123.0 11.2 2013 139.9 6.8 138.2 8.2 NA 164.7 8.0 121.4 -1.3 2014 151.0 7.9 152.7 10.5 NA 167.7 1.8 126.2 3.9 2015 161.0 6.7 163.1 6.8 NA 178.4 6.4 134.5 6.6 2016 167.5 4.0 170.0 4.2 NA 184.1 3.2 140.3 4.3

Quarterly (2010 = 100) 2009 Q1 99.5 99.0 NA 105.5 95.4 Q2 104.7 102.4 NA 122.8 95.2 Q3 103.1 100.8 NA 113.8 93.9 Q4 101.8 99.0 NA 121.4 92.6 2010 Q1 100.6 1.1 101.0 2.0 NA 104.0 -1.4 95.6 0.2 Q2 102.8 -1.8 105.2 2.7 NA 95.6 -22.1 97.7 2.6 Q3 104.1 1.0 104.5 3.7 NA 105.3 -7.5 100.8 7.3 Q4 106.3 4.4 105.0 6.1 NA 124.9 2.9 104.3 12.6 2011 Q1 108.2 7.6 110.1 9.0 NA 129.8 24.8 106.3 11.2 Q2 110.0 7.0 107.2 1.9 NA 114.4 19.7 114.0 16.7 Q3 121.4 16.6 120.2 15.0 NA 141.5 34.4 113.5 12.6 Q4 122.8 15.5 122.3 16.5 NA 143.1 14.6 108.7 4.2 2012 Q1 126.2 16.6 121.8 10.6 NA 151.2 16.5 118.4 11.4 Q2 133.2 21.1 129.1 20.4 NA 164.2 43.5 120.0 5.3 Q3 129.1 6.3 127.3 5.9 NA 141.7 0.2 123.6 8.9 Q4 135.5 10.3 132.5 8.3 NA 153.0 6.9 130.0 19.6 2013 Q1 133.3 5.6 129.9 6.7 NA 158.9 5.1 120.8 2.0 Q2 139.1 4.4 137.1 6.2 NA 163.4 -0.5 122.4 2.0 Q3 141.7 9.8 140.4 10.3 NA 166.5 17.5 121.1 -2.0 Q4 145.6 7.5 145.2 9.6 NA 170.1 11.2 121.3 -6.7 2014 Q1 145.8 9.4 147.1 13.2 NA 163.2 2.7 121.6 0.7 Q2 148.9 7.0 150.6 9.8 NA 165.0 1.0 124.5 1.7 Q3 152.1 7.3 153.2 9.1 NA 170.1 2.2 128.9 6.4 Q4 157.1 7.9 159.8 10.1 NA 172.5 1.4 129.7 6.9 2015 Q1 157.7 8.2 159.5 8.4 NA 177.5 8.8 129.5 6.5 Q2 161.2 8.3 162.8 8.1 NA 179.9 9.0 134.6 8.1 Q3 161.7 6.3 164.2 7.2 NA 177.2 4.2 135.2 4.9 Q4 163.5 4.1 165.8 3.8 NA 178.9 3.7 138.7 6.9 2016 Q1 164.4 4.2 167.2 4.8 NA 183.4 3.3 139.3 7.6 Q2 167.0 3.6 168.7 3.6 NA 186.5 3.7 140.2 4.1 Q3 169.7 5.0 171.9 4.7 NA 185.3 4.6 139.9 3.5 Q4 168.9 3.3 172.2 3.9 NA 181.2 1.3 141.9 2.3 2017 Q1P 169.3 3.0 172.0 2.9 NA 179.5 -2.1 147.2 5.7

10 . 0 Indeks Harga Rumah Pahang Mengikut Jenis Rumah Pahang House Price Index By House Type

Pahang

P - Preliminary



10.01 Harga Purata Rumah Pahang Mengikut Jenis Rumah Pahang Average House Price By House Type


Quarterly (2010 = 100) 2009 Q1 131,402 122,338 NA 127,417 205,488 Q2 138,156 5.1 126,451 3.4 NA 148,394 16.5 204,969 -0.3 Q3 136,066 -1.5 124,453 -1.6 NA 137,524 -7.3 202,170 -1.4 Q4 134,332 -1.3 122,338 -1.7 NA 146,692 6.7 199,287 -1.4 2010 Q1 132,844 -1.1 124,740 2.0 NA 125,689 -14.3 205,834 3.3 Q2 135,645 2.1 129,889 4.1 NA 115,479 -8.1 210,286 2.2 Q3 137,358 1.3 129,115 -0.6 NA 127,152 10.1 217,086 3.2 Q4 140,338 2.2 129,746 0.5 NA 150,818 18.6 224,624 3.5 2011 Q1 142,866 1.8 136,050 4.9 NA 156,767 3.9 228,964 1.9 Q2 145,193 1.6 132,467 -2.6 NA 138,144 -11.9 245,550 7.2 Q3 160,280 10.4 148,440 12.1 NA 170,917 23.7 244,473 -0.4 Q4 162,157 1.2 151,131 1.8 NA 172,881 1.1 234,134 -4.2 2012 Q1 166,544 2.7 150,397 -0.5 NA 182,668 5.7 254,958 8.9 Q2 175,847 5.6 159,430 6.0 NA 198,391 8.6 258,402 1.4 Q3 170,453 -3.1 157,231 -1.4 NA 171,206 -13.7 266,204 3.0 Q4 178,874 4.9 163,606 4.1 NA 184,877 8.0 279,811 5.1 2013 Q1 175,991 -1.6 160,453 -1.9 NA 191,962 3.8 260,215 -7.0 Q2 183,675 4.4 169,289 5.5 NA 197,417 2.8 263,612 1.3 Q3 187,042 1.8 173,424 2.4 NA 201,102 1.9 260,735 -1.1 Q4 192,195 2.8 179,408 3.5 NA 205,476 2.2 261,246 0.2 2014 Q1 192,405 0.1 181,737 1.3 NA 197,206 -4.0 261,800 0.2 Q2 196,522 2.1 186,070 2.4 NA 199,364 1.1 268,008 2.4 Q3 200,814 2.2 189,187 1.7 NA 205,449 3.1 277,573 3.6 Q4 207,381 3.3 197,341 4.3 NA 208,431 1.5 279,195 0.6 2015 Q1 208,171 0.4 196,959 -0.2 NA 214,468 2.9 278,751 -0.2 Q2 212,736 2.2 201,060 2.1 NA 217,342 1.3 289,899 4.0 Q3 213,466 0.3 202,769 0.8 NA 214,033 -1.5 291,018 0.4 Q4 215,823 1.1 204,778 1.0 NA 216,099 1.0 298,552 2.6 2016 Q1 217,046 0.6 206,491 0.8 NA 221,518 2.5 299,971 0.5 Q2 220,500 1.6 208,408 0.9 NA 225,265 1.7 301,855 0.6 Q3 224,028 1.6 212,357 1.9 NA 223,823 -0.6 301,253 -0.2 Q4 222,943 -0.5 212,743 0.2 NA 218,850 -2.2 305,586 1.4 2017 Q1P 223,472 0.2 212,428 -0.1 NA 216,881 -0.9 317,007 3.7

P - Preliminary


Pahang Kuantan Temerloh Bentong Jerantut- Lipis-Raub Weight (2010 =100) 100.0 55.2 20.6 10.6 13.6

Index 1-Yr % Change Annual (2010 = 100) 2009 100.3 99.5 103.0 100.3 101.3 2010 100.0 -0.3 100.0 0.5 100.0 -2.9 100.0 -0.2 100.0 -1.2 2011 115.0 15.0 111.5 11.5 117.9 17.9 123.8 23.8 117.9 17.9 2012 127.7 11.1 124.2 11.4 127.1 7.8 139.8 12.9 138.5 17.5 2013 138.2 8.2 133.0 7.1 144.9 14.0 152.5 9.1 146.7 5.9 2014 152.7 10.5 150.7 13.3 153.7 6.0 162.9 6.8 153.8 4.9 2015 163.1 6.8 161.1 7.0 163.4 6.3 174.9 7.4 162.6 5.7 2016 170.0 4.2 167.7 4.0 173.4 6.1 177.9 1.7 172.1 5.8

Quarterly (2010 = 100) 2009 Q1 99.0 95.2 111.9 100.5 102.8 Q2 102.4 101.4 104.6 99.8 107.6 Q3 100.8 102.1 96.7 100.7 98.0 Q4 99.0 99.3 98.9 100.0 96.6 2010 Q1 101.0 2.0 100.8 5.9 99.6 -11.0 100.5 0.0 104.6 1.8 Q2 105.2 2.7 105.8 4.3 100.0 -4.4 108.3 8.5 105.7 -1.8 Q3 104.5 3.7 103.0 0.9 110.2 14.0 110.1 9.3 101.7 3.8 Q4 105.0 6.1 101.6 2.3 115.4 16.7 113.7 13.7 106.9 10.7 2011 Q1 110.1 9.0 108.1 7.2 115.6 16.1 113.7 13.1 102.4 -2.1 Q2 107.2 1.9 103.2 -2.5 118.3 18.3 119.7 10.5 106.5 0.8 Q3 120.2 15.0 118.5 15.0 120.0 8.9 125.6 14.1 126.1 24.0 Q4 122.3 16.5 116.0 14.2 117.8 2.1 136.1 19.7 136.6 27.8 2012 Q1 121.8 10.6 115.8 7.1 129.4 11.9 133.7 17.6 136.5 33.3 Q2 129.1 20.4 128.1 24.1 118.2 -0.1 142.1 18.7 138.6 30.1 Q3 127.3 5.9 124.7 5.2 120.0 0.0 144.0 14.6 138.1 9.5 Q4 132.5 8.3 128.1 10.4 140.9 19.6 139.4 2.4 140.7 3.0 2013 Q1 129.9 6.7 122.0 5.4 138.1 6.7 150.2 12.3 148.0 8.4 Q2 137.1 6.2 131.7 2.8 147.6 24.9 151.2 6.4 141.1 1.8 Q3 140.4 10.3 136.0 9.1 147.5 22.9 152.1 5.6 145.8 5.6 Q4 145.2 9.6 142.2 11.0 146.5 4.0 156.5 12.3 151.8 7.9 2014 Q1 147.1 13.2 144.0 18.0 148.6 7.6 156.0 3.9 156.2 5.5 Q2 150.6 9.8 149.2 13.3 151.8 2.8 158.0 4.5 150.8 6.9 Q3 153.2 9.1 151.0 11.0 155.1 5.2 164.5 8.2 152.7 4.7 Q4 159.8 10.1 158.4 11.4 159.2 8.7 173.0 10.5 155.6 2.5 2015 Q1 159.5 8.4 156.4 8.6 160.9 8.3 174.6 11.9 161.3 3.3 Q2 162.8 8.1 161.1 8.0 162.5 7.0 175.6 11.1 160.9 6.7 Q3 164.2 7.2 162.3 7.5 166.3 7.2 172.3 4.7 164.4 7.7 Q4 165.8 3.8 164.7 4.0 164.0 3.0 176.9 2.3 163.9 5.3 2016 Q1 167.2 4.8 165.5 5.8 166.2 3.3 178.8 2.4 167.4 3.8 Q2 168.7 3.6 166.8 3.5 170.4 4.9 178.1 1.4 169.3 5.2 Q3 171.9 4.7 169.1 4.2 178.0 7.0 179.0 3.9 173.8 5.7 Q4 172.2 3.9 169.2 2.7 179.0 9.1 175.7 -0.7 178.0 8.6 2017 Q1P 172.0 2.9 168.2 1.6 180.1 8.4 176.3 -1.4 179.8 7.4

10 . 02 Pahang : Indeks Harga Rumah Teres Mengikut Kawasan Pahang : Terraced House Price Index by Region

P - Preliminary


Pahang Kuantan Temerloh Bentong Jerantut- Lipis-Raub Weight (2010 =100) 100.0 55.2 20.6 10.6 13.6

Price Quarterly % (RM) Change Annual (2010 = 100) 2009 123,895 144,054 94,049 118,812 91,300 2010 123,568 144,700 91,268 118,480 90,151 2011 142,022 161,356 107,631 146,706 106,288 2012 157,666 179,748 116,031 165,699 124,880 2013 170,643 192,482 132,289 180,761 132,250 2014 188,584 218,067 140,279 193,002 138,705 2015 201,391 233,261 149,176 207,225 146,649 2016 210,000 242,644 158,310 210,838 155,220

Quarterly (2010 = 100) 2009 Q1 122,338 137,804 102,170 119,058 92,719 Q2 126,451 3.4 146,843 6.6 95,498 -6.5 118,252 -0.7 97,023 4.6 Q3 124,453 -1.6 147,827 0.7 88,286 -7.6 119,371 0.9 88,389 -8.9 Q4 122,338 -1.7 143,744 -2.8 90,243 2.2 118,567 -0.7 87,068 -1.5 2010 Q1 124,740 2.0 145,957 1.5 90,873 0.7 119,120 0.5 94,363 8.4 Q2 129,889 4.1 153,152 4.9 91,239 0.4 128,318 7.7 95,292 1.0 Q3 129,115 -0.6 149,143 -2.6 100,630 10.3 130,417 1.6 91,731 -3.7 Q4 129,746 0.5 147,015 -1.4 105,324 4.7 134,712 3.3 96,371 5.1 2011 Q1 136,050 4.9 156,478 6.4 105,485 0.2 134,780 0.1 92,314 -4.2 Q2 132,467 -2.6 149,394 -4.5 107,949 2.3 141,892 5.3 96,010 4.0 Q3 148,440 12.1 171,585 14.9 109,559 1.5 148,883 4.9 113,680 18.4 Q4 151,131 1.8 167,965 -2.1 107,531 -1.9 161,269 8.3 123,146 8.3 2012 Q1 150,397 -0.5 167,623 -0.2 118,089 9.8 158,495 -1.7 123,129 0.0 Q2 159,430 6.0 185,420 10.6 107,895 -8.6 168,459 6.3 124,999 1.5 Q3 157,231 -1.4 180,517 -2.6 109,553 1.5 170,614 1.3 124,534 -0.4 Q4 163,606 4.1 185,430 2.7 128,586 17.4 165,227 -3.2 126,859 1.9 2013 Q1 160,453 -1.9 176,570 -4.8 126,071 -2.0 178,032 7.8 133,418 5.2 Q2 169,289 5.5 190,660 8.0 134,714 6.9 179,227 0.7 127,209 -4.7 Q3 173,424 2.4 196,914 3.3 134,663 0.0 180,262 0.6 131,510 3.4 Q4 179,408 3.5 205,784 4.5 133,708 -0.7 185,524 2.9 136,861 4.1 2014 Q1 181,737 1.3 208,438 1.3 135,614 1.4 184,873 -0.4 140,838 2.9 Q2 186,070 2.4 215,935 3.6 138,554 2.2 187,229 1.3 135,992 -3.4 Q3 189,187 1.7 218,554 1.2 141,597 2.2 194,921 4.1 137,667 1.2 Q4 197,341 4.3 229,340 4.9 145,349 2.7 204,986 5.2 140,322 1.9 2015 Q1 196,959 -0.2 226,424 -1.3 146,910 1.1 206,937 1.0 145,450 3.7 Q2 201,060 2.1 233,214 3.0 148,314 1.0 208,068 0.5 145,048 -0.3 Q3 202,769 0.8 234,953 0.7 151,805 2.4 204,241 -1.8 148,260 2.2 Q4 204,778 1.0 238,452 1.5 149,675 -1.4 209,655 2.7 147,838 -0.3 2016 Q1 206,491 0.8 239,579 0.5 151,746 1.4 211,922 1.1 150,954 2.1 Q2 208,408 0.9 241,369 0.7 155,547 2.5 211,130 -0.4 152,648 1.1 Q3 212,357 1.9 244,730 1.4 162,524 4.5 212,084 0.5 156,732 2.7 Q4 212,743 0.2 244,900 0.1 163,422 0.6 208,218 -1.8 160,545 2.4 2017 Q1P 212,428 -0.1 243,421 -0.6 164,406 0.6 208,951 0.4 162,166 1.0

10 . 03 Pahang : Harga Purata Rumah Teres Mengikut Kawasan Pahang : Average Terraced House Price by Region

P - Preliminary




Quarterly (2010 = 100) 2009 Q1 92.1 89.3 NA 90.9 89.9 Q2 93.5 89.8 NA 98.6 90.7 Q3 97.3 95.4 NA 99.1 93.7 Q4 97.1 97.3 NA 95.8 95.4 2010 Q1 100.6 9.2 96.1 7.6 NA 105.1 15.6 99.3 10.5 Q2 102.1 9.2 103.6 15.4 NA 97.6 -1.0 96.9 6.8 Q3 103.6 6.5 101.4 6.3 NA 101.5 2.4 102.1 9.0 Q4 108.9 12.2 108.2 11.2 NA 106.2 10.9 103.3 8.3 2011 Q1 109.0 8.3 104.4 8.6 NA 109.6 4.3 109.4 10.2 Q2 115.0 12.6 116.1 12.1 NA 107.4 10.0 115.4 19.1 Q3 117.6 13.5 115.7 14.1 NA 109.4 7.8 116.9 14.5 Q4 121.4 11.5 125.3 15.8 NA 113.2 6.6 118.6 14.8 2012 Q1 123.9 13.7 122.8 17.6 NA 121.8 11.1 121.1 10.7 Q2 128.3 11.6 123.9 6.7 NA 132.4 23.3 127.1 10.1 Q3 130.4 10.9 124.4 7.5 NA 139.3 27.3 124.9 6.8 Q4 132.4 9.1 124.6 -0.6 NA 139.6 23.3 130.6 10.1 2013 Q1 137.0 10.6 131.5 7.1 NA 146.7 20.4 129.9 7.3 Q2 143.8 12.1 136.4 10.1 NA 154.3 16.5 137.5 8.2 Q3 145.5 11.6 142.5 14.5 NA 153.7 10.3 138.3 10.7 Q4 145.5 9.9 139.2 11.7 NA 154.6 10.7 140.1 7.3 2014 Q1 147.2 7.4 144.7 10.0 NA 152.2 3.7 143.4 10.4 Q2 149.3 3.8 147.2 7.9 NA 155.3 0.6 143.8 4.6 Q3 150.3 3.3 149.8 5.1 NA 154.6 0.6 145.5 5.2 Q4 154.5 6.2 148.7 6.8 NA 164.3 6.3 147.9 5.6 2015 Q1 156.0 6.0 147.9 2.2 NA 163.1 7.2 154.7 7.9 Q2 158.7 6.3 151.2 2.7 NA 168.8 8.7 153.1 6.5 Q3 160.2 6.6 152.9 2.1 NA 168.6 9.1 156.5 7.6 Q4 161.2 4.3 155.4 4.5 NA 170.8 4.0 154.8 4.7 2016 Q1 164.4 5.4 155.6 5.2 NA 173.6 6.4 161.2 4.2 Q2 165.1 4.0 157.7 4.3 NA 174.3 3.3 160.7 5.0 Q3 168.1 4.9 160.4 4.9 NA 174.3 3.4 163.0 4.2 Q4 171.1 6.1 159.9 2.9 NA 182.6 6.9 167.2 8.0 2017 Q1P 168.7 2.6 160.6 3.2 NA 176.6 1.7 166.2 3.1

11 . 0 Indeks Harga Rumah Terengganu Mengikut Jenis Rumah Terengganu House Price Index By House Type

Terengganu

P - Preliminary



11.01 Harga Purata Rumah Terengganu Mengikut Jenis Rumah Terengganu Average House Price By House Type


Quarterly (2010 = 100) 2009 Q1 145,232 98,141 NA 169,784 177,040 Q2 147,434 1.5 98,731 0.6 NA 184,162 8.5 178,629 0.9 Q3 153,348 4.0 104,921 6.3 NA 185,103 0.5 184,424 3.2 Q4 153,033 -0.2 107,030 2.0 NA 178,854 -3.4 187,722 1.8 2010 Q1 158,549 3.6 105,609 -1.3 NA 196,186 9.7 195,405 4.1 Q2 160,847 1.4 113,865 7.8 NA 182,180 -7.1 190,812 -2.4 Q3 163,210 1.5 111,458 -2.1 NA 189,522 4.0 200,958 5.3 Q4 171,559 5.1 118,935 6.7 NA 198,414 4.7 203,328 1.2 2011 Q1 171,717 0.1 114,800 -3.5 NA 204,632 3.1 215,384 5.9 Q2 181,169 5.5 127,672 11.2 NA 200,491 -2.0 227,127 5.5 Q3 185,265 2.3 127,185 -0.4 NA 204,229 1.9 230,079 1.3 Q4 191,252 3.2 137,710 8.3 NA 211,437 3.5 233,477 1.5 2012 Q1 195,190 2.1 134,977 -2.0 NA 227,455 7.6 238,468 2.1 Q2 202,122 3.6 136,175 0.9 NA 247,325 8.7 250,198 4.9 Q3 205,490 1.7 136,784 0.4 NA 260,051 5.1 245,956 -1.7 Q4 208,647 1.5 137,045 0.2 NA 260,605 0.2 257,138 4.5 2013 Q1 215,852 3.5 144,620 5.5 NA 273,982 5.1 255,791 -0.5 Q2 226,553 5.0 149,956 3.7 NA 288,087 5.1 270,756 5.9 Q3 229,370 1.2 156,655 4.5 NA 287,035 -0.4 272,300 0.6 Q4 229,280 0.0 153,005 -2.3 NA 288,623 0.6 275,790 1.3 2014 Q1 231,990 1.2 159,040 3.9 NA 284,221 -1.5 282,302 2.4 Q2 235,273 1.4 161,814 1.7 NA 290,086 2.1 283,077 0.3 Q3 236,901 0.7 164,738 1.8 NA 288,741 -0.5 286,449 1.2 Q4 243,554 2.8 163,446 -0.8 NA 306,782 6.2 291,235 1.7 2015 Q1 245,894 1.0 162,620 -0.5 NA 304,497 -0.7 304,637 4.6 Q2 250,067 1.7 166,259 2.2 NA 315,143 3.5 301,331 -1.1 Q3 252,459 1.0 168,095 1.1 NA 314,830 -0.1 308,107 2.2 Q4 254,067 0.6 170,837 1.6 NA 318,941 1.3 304,660 -1.1 2016 Q1 259,148 2.0 171,130 0.2 NA 324,151 1.6 317,295 4.1 Q2 260,255 0.4 173,378 1.3 NA 325,482 0.4 316,275 -0.3 Q3 264,940 1.8 176,385 1.7 NA 325,569 0.0 321,034 1.5 Q4 269,677 1.8 175,768 -0.3 NA 340,931 4.7 329,266 2.6 2017 Q1P 265,796 -1.4 176,583 0.5 NA 329,718 -3.3 327,263 -0.6

P - Preliminary


Terengganu Kuala Terengganu Kemaman

Weight (2010 =100) 100.0 36.6 63.4


Quarterly (2010 = 100) 2009 Q1 89.3 87.8 90.2 Q2 89.8 88.4 90.7 Q3 95.4 88.2 99.9 Q4 97.3 89.0 102.5 2010 Q1 96.1 7.6 99.9 13.8 93.7 3.9 Q2 103.6 15.4 105.6 19.5 102.3 12.8 Q3 101.4 6.3 106.5 20.7 98.2 -1.7 Q4 108.2 11.2 105.9 19.0 109.6 6.9 2011 Q1 104.4 8.6 109.1 9.2 101.5 8.3 Q2 116.1 12.1 121.7 15.2 112.6 10.1 Q3 115.7 14.1 127.6 19.8 111.5 13.5 Q4 125.3 15.8 135.7 28.1 118.7 8.3 2012 Q1 122.8 17.6 131.1 20.2 117.6 15.9 Q2 123.9 6.7 141.3 16.1 113.0 0.4 Q3 124.4 7.5 127.3 -0.2 122.6 10.0 Q4 124.6 -0.6 140.2 3.3 115.0 -3.1 2013 Q1 131.5 7.1 151.6 15.6 119.0 1.2 Q2 136.4 10.1 153.2 8.4 125.9 11.4 Q3 142.5 14.5 156.6 23.0 133.7 9.1 Q4 139.2 11.7 157.7 12.5 127.6 11.0 2014 Q1 144.7 10.0 160.1 5.6 135.0 13.4 Q2 147.2 7.9 160.5 4.8 138.9 10.3 Q3 149.8 5.1 164.4 5.0 140.7 5.2 Q4 148.7 6.8 165.6 5.0 138.1 8.2 2015 Q1 147.9 2.2 168.3 5.1 135.2 0.1 Q2 151.2 2.7 166.7 3.9 141.6 1.9 Q3 152.9 2.1 171.1 4.1 141.5 0.6 Q4 155.4 4.5 176.7 6.7 142.1 2.9 2016 Q1 155.6 5.2 177.6 5.5 142.0 5.0 Q2 157.7 4.3 180.4 8.2 143.6 1.4 Q3 160.4 4.9 177.9 4.0 149.5 5.7 Q4 159.9 2.9 174.9 -1.0 150.5 5.9 2017 Q1P 160.6 3.2 174.3 -1.9 152.1 7.1

11 . 02 Terengganu : Indeks Harga Rumah Teres Mengikut Kawasan Terengganu : Terraced House Price Index by Region

P - Preliminary


Terengganu Kuala Terengganu Kemaman

Weight (2010 =100) 100.0 36.6 63.4


Quarterly (2010 = 100) 2009 Q1 98,141 101,336 96,298 Q2 98,731 0.6 102,060 0.7 96,811 0.5 Q3 104,921 6.3 101,814 -0.2 106,713 10.2 Q4 107,030 2.0 102,786 1.0 109,479 2.6 2010 Q1 105,609 -1.3 115,332 12.2 100,001 -8.7 Q2 113,865 7.8 121,963 5.7 109,194 9.2 Q3 111,458 -2.1 122,943 0.8 104,833 -4.0 Q4 118,935 6.7 122,289 -0.5 117,000 11.6 2011 Q1 114,800 -3.5 125,988 3.0 108,347 -7.4 Q2 127,672 11.2 140,552 11.6 120,244 11.0 Q3 127,185 -0.4 147,318 4.8 119,077 -1.0 Q4 137,710 8.3 156,669 6.3 126,774 6.5 2012 Q1 134,977 -2.0 151,377 -3.4 125,518 -1.0 Q2 136,175 0.9 163,133 7.8 120,625 -3.9 Q3 136,784 0.4 146,995 -9.9 130,895 8.5 Q4 137,045 0.2 161,839 10.1 122,743 -6.2 2013 Q1 144,620 5.5 175,070 8.2 127,055 3.5 Q2 149,956 3.7 176,859 1.0 134,439 5.8 Q3 156,655 4.5 180,775 2.2 142,742 6.2 Q4 153,005 -2.3 182,096 0.7 136,224 -4.6 2014 Q1 159,040 3.9 184,882 1.5 144,135 5.8 Q2 161,814 1.7 185,247 0.2 148,297 2.9 Q3 164,738 1.8 189,852 2.5 150,252 1.3 Q4 163,446 -0.8 191,216 0.7 147,428 -1.9 2015 Q1 162,620 -0.5 194,247 1.6 144,378 -2.1 Q2 166,259 2.2 192,416 -0.9 151,172 4.7 Q3 168,095 1.1 197,504 2.6 151,132 0.0 Q4 170,837 1.6 203,950 3.3 151,737 0.4 2016 Q1 171,130 0.2 205,027 0.5 151,578 -0.1 Q2 173,378 1.3 208,231 1.6 153,275 1.1 Q3 176,385 1.7 205,379 -1.4 159,662 4.2 Q4 175,768 -0.3 201,926 -1.7 160,681 0.6 2017 Q1P 176,583 0.5 201,218 -0.4 162,374 1.1

11 . 03 Terengganu : Harga Purata Rumah Teres Mengikut Kawasan Terengganu : Average Terraced House Price by Region

P - Preliminary



Index 1-Yr % Change Annual (2010 = 100) 2009 91.6 90.4 NA 90.3 93.9 2010 100.0 9.2 100.0 10.7 NA 100.0 10.7 100.0 6.5 2011 106.2 6.2 112.8 12.8 NA 90.7 -9.3 109.1 9.1 2012 110.0 3.6 119.3 5.7 NA 91.6 1.0 114.2 4.6 2013 124.2 12.9 138.6 16.2 NA 99.2 8.3 130.2 14.0 2014 131.1 5.6 139.7 0.8 NA 123.0 24.0 132.3 1.6 2015 135.7 3.5 136.1 -2.6 NA 129.0 4.9 138.7 4.9 2016 136.6 0.7 135.0 -0.8 NA 137.4 6.5 139.5 0.5 Quarterly (2010 = 100) 2009 Q1 85.3 81.3 NA 82.7 94.7 Q2 89.9 89.8 NA 84.1 93.2 Q3 94.3 93.3 NA 98.8 92.8 Q4 96.9 97.1 NA 95.6 95.0 2010 Q1 97.6 14.4 95.3 17.2 NA 101.3 22.5 97.2 2.6 Q2 92.6 3.0 92.6 3.1 NA 92.5 10.0 96.5 3.5 Q3 98.1 4.0 104.5 12.0 NA 99.9 1.1 102.2 10.2 Q4 105.1 8.4 103.1 6.2 NA 108.0 13.0 104.9 10.5 2011 Q1 106.2 8.8 111.6 17.1 NA 99.7 -1.6 101.1 4.1 Q2 101.0 9.1 106.6 15.1 NA 85.6 -7.5 108.6 12.6 Q3 105.8 7.8 112.1 7.3 NA 89.3 -10.6 107.0 4.7 Q4 111.7 6.3 121.0 17.4 NA 88.2 -18.3 119.7 14.1 2012 Q1 105.3 -0.9 111.6 0.0 NA 85.4 -14.3 113.3 12.0 Q2 107.6 6.5 113.4 6.4 NA 87.5 2.2 116.6 7.4 Q3 109.0 3.0 119.8 6.9 NA 99.4 11.3 106.3 -0.7 Q4 118.2 5.8 132.4 9.4 NA 94.1 6.7 120.5 0.7 2013 Q1 123.0 16.8 143.3 28.4 NA 91.7 7.4 124.5 9.9 Q2 122.2 13.6 136.3 20.2 NA 92.5 5.7 129.7 11.2 Q3 122.5 12.4 134.7 12.4 NA 95.8 -3.6 133.3 25.4 Q4 129.0 9.1 140.2 5.9 NA 116.8 24.1 133.3 10.6 2014 Q1 131.5 6.9 140.6 -1.9 NA 122.2 33.3 133.3 7.1 Q2 131.2 7.4 143.5 5.3 NA 121.5 31.4 132.3 2.0 Q3 129.9 6.0 140.6 4.4 NA 118.5 23.7 133.2 -0.1 Q4 131.7 2.1 134.2 -4.3 NA 129.7 11.0 130.3 -2.3 2015 Q1 131.5 0.0 134.6 -4.3 NA 127.6 4.4 133.3 0.0 Q2 135.9 3.6 139.5 -2.8 NA 131.3 8.1 138.9 5.0 Q3 137.4 5.8 138.1 -1.8 NA 127.9 7.9 143.7 7.9 Q4 137.8 4.6 132.1 -1.6 NA 129.1 -0.5 138.9 6.6 2016 Q1 134.3 2.1 135.5 0.7 NA 131.7 3.2 138.9 4.2 Q2 135.1 -0.6 134.2 -3.8 NA 134.6 2.5 138.9 0.0 Q3 139.4 1.4 136.6 -1.1 NA 142.3 11.3 138.9 -3.3 Q4 137.5 -0.2 133.5 1.1 NA 140.9 9.1 141.1 1.6 2017 Q1P 137.5 2.4 133.4 -1.5 NA 141.1 7.1 138.9 0.0

12 . 0 Indeks Harga Rumah Kelantan Mengikut Jenis Rumah Kelantan House Price Index By House Type

Kelantan

P - Preliminary



12.01 Harga Purata Rumah Kelantan Mengikut Jenis Rumah Kelantan Average House Price By House Type


Quarterly (2010 = 100) 2009 Q1 97,681 98,464 NA 80,005 180,919 Q2 102,937 5.4 108,736 10.4 NA 81,358 1.7 178,053 -1.6 Q3 107,936 4.9 112,986 3.9 NA 95,624 17.5 177,243 -0.5 Q4 110,912 2.8 117,508 4.0 NA 92,480 -3.3 181,411 2.4 2010 Q1 111,713 0.7 115,352 -1.8 NA 98,009 6.0 185,694 2.4 Q2 106,026 -5.1 112,098 -2.8 NA 89,520 -8.7 184,305 -0.7 Q3 112,320 5.9 126,504 12.9 NA 96,718 8.0 195,303 6.0 Q4 120,241 7.1 124,809 -1.3 NA 104,542 8.1 200,397 2.6 2011 Q1 121,561 1.1 135,099 8.2 NA 96,459 -7.7 193,232 -3.6 Q2 115,595 -4.9 129,069 -4.5 NA 82,808 -14.2 207,472 7.4 Q3 121,041 4.7 135,675 5.1 NA 86,390 4.3 204,431 -1.5 Q4 127,791 5.6 146,520 8.0 NA 85,342 -1.2 228,659 11.9 2012 Q1 120,469 -5.7 135,072 -7.8 NA 82,606 -3.2 216,537 -5.3 Q2 123,100 2.2 137,293 1.6 NA 84,727 2.6 222,883 2.9 Q3 124,702 1.3 145,038 5.6 NA 96,198 13.5 203,194 -8.8 Q4 135,290 8.5 160,293 10.5 NA 91,088 -5.3 230,229 13.3 2013 Q1 140,784 4.1 173,430 8.2 NA 88,727 -2.6 237,938 3.3 Q2 139,868 -0.7 165,031 -4.8 NA 89,473 0.8 247,794 4.1 Q3 140,211 0.2 163,086 -1.2 NA 92,739 3.7 254,796 2.8 Q4 147,651 5.3 169,753 4.1 NA 113,083 21.9 254,796 0.0 2014 Q1 150,498 1.9 170,140 0.2 NA 118,286 4.6 254,796 0.0 Q2 150,186 -0.2 173,744 2.1 NA 117,587 -0.6 252,724 -0.8 Q3 148,653 -1.0 170,222 -2.0 NA 114,713 -2.4 254,471 0.7 Q4 150,690 1.4 162,458 -4.6 NA 125,497 9.4 249,030 -2.1 2015 Q1 150,463 -0.2 162,955 0.3 NA 123,505 -1.6 254,703 2.3 Q2 155,474 3.3 168,903 3.7 NA 127,105 2.9 265,377 4.2 Q3 157,276 1.2 167,106 -1.1 NA 123,747 -2.6 274,498 3.4 Q4 157,684 0.3 159,954 -4.3 NA 124,926 1.0 265,377 -3.3 2016 Q1 153,697 -2.5 163,963 2.5 NA 127,464 2.0 265,377 0.0 Q2 154,563 0.6 162,448 -0.9 NA 130,299 2.2 265,377 0.0 Q3 159,534 3.2 165,348 1.8 NA 137,675 5.7 265,377 0.0 Q4 157,346 -1.4 161,594 -2.3 NA 136,329 -1.0 269,583 1.6 2017 Q1P 157,400 0.0 161,424 -0.1 NA 136,563 0.2 265,377 -1.6

P - Preliminary



Index 1-Yr % Change Annual (2010 = 100) 2009 96.0 97.1 NA NA 94.0 2010 100.0 4.2 100.0 3.0 NA NA 100.0 6.4 2011 114.5 14.5 115.7 15.7 NA NA 113.5 13.5 2012 116.4 1.7 116.7 0.8 NA NA 122.7 8.1 2013 126.1 8.3 126.7 8.6 NA NA 125.2 2.0 2014 141.1 11.9 141.2 11.4 NA NA 141.0 12.6 2015 149.0 5.6 148.4 5.1 NA NA 150.0 6.4 2016 150.7 1.2 148.1 -0.2 NA NA 155.5 3.7

Quarterly (2010 = 100) 2009 Q1 88.4 88.9 NA NA 87.5 Q2 94.4 94.1 NA NA 95.0 Q3 98.3 100.4 NA NA 94.4 Q4 102.8 104.8 NA NA 99.0 2010 Q1 99.5 12.6 99.8 12.3 NA NA 101.6 16.1 Q2 101.3 7.3 101.0 7.3 NA NA 96.1 1.2 Q3 103.1 4.9 109.9 9.5 NA NA 97.2 3.0 Q4 100.8 -1.9 101.0 -3.6 NA NA 100.5 1.5 2011 Q1 110.8 11.4 109.6 9.8 NA NA 115.6 13.8 Q2 112.4 11.0 113.7 12.6 NA NA 112.3 16.9 Q3 115.6 12.1 118.7 8.0 NA NA 109.9 13.1 Q4 119.3 18.4 120.9 19.7 NA NA 116.3 15.7 2012 Q1 107.7 -2.8 103.1 -5.9 NA NA 128.3 10.9 Q2 120.8 7.5 125.7 10.6 NA NA 126.8 12.9 Q3 117.0 1.2 117.4 -1.1 NA NA 116.2 5.7 Q4 120.2 0.8 120.5 -0.3 NA NA 119.6 2.8 2013 Q1 120.8 12.2 119.5 15.9 NA NA 123.4 -3.8 Q2 125.0 3.5 126.0 0.2 NA NA 123.1 -2.9 Q3 125.4 7.2 125.6 7.0 NA NA 125.0 7.6 Q4 133.3 10.9 135.6 12.5 NA NA 129.1 7.9 2014 Q1 139.8 15.7 141.9 18.7 NA NA 135.9 10.1 Q2 137.0 9.6 136.2 8.1 NA NA 138.6 12.6 Q3 141.8 13.1 142.0 13.1 NA NA 141.5 13.2 Q4 145.7 9.3 144.5 6.6 NA NA 147.8 14.5 2015 Q1 148.4 6.2 151.9 7.0 NA NA 141.7 4.3 Q2 147.1 7.4 146.0 7.2 NA NA 149.3 7.7 Q3 149.5 5.4 147.0 3.5 NA NA 154.0 8.8 Q4 150.8 3.5 148.5 2.8 NA NA 155.1 4.9 2016 Q1 152.4 2.7 150.9 -0.7 NA NA 155.2 9.5 Q2 148.5 1.0 148.1 1.4 NA NA 149.3 0.0 Q3 151.1 1.1 149.4 1.6 NA NA 154.3 0.2 Q4 150.7 -0.1 143.9 -3.1 NA NA 163.3 5.3 2017 Q1P 151.6 -0.5 147.5 -2.3 NA NA 159.4 2.7

13 . 0 Indeks Harga Rumah Perlis Mengikut Jenis Rumah Perlis House Price Index By House Type

Perlis

P - Preliminary



13.01 Harga Purata Rumah Perlis Mengikut Jenis Rumah Perlis Average House Price By House Type

Annual (2010 = 100) 2009 104,790 84,010 NA NA 200,172 2010 109,175 86,560 NA NA 212,925 2011 125,029 100,159 NA NA 241,841 2012 127,091 100,974 NA NA 261,429 2013 137,716 109,644 NA NA 266,571 2014 154,035 122,184 NA NA 300,235 2015 162,600 128,397 NA NA 319,596 2016 164,504 128,165 NA NA 331,306

Quarterly (2010 = 100) 2009 Q1 96,534 76,963 NA NA 186,367 Q2 103,080 6.8 81,461 5.8 NA NA 202,315 8.6 Q3 107,340 4.1 86,901 6.7 NA NA 201,156 -0.6 Q4 112,204 4.5 90,713 4.4 NA NA 210,852 4.8 2010 Q1 108,613 -3.2 86,340 -4.8 NA NA 216,472 2.7 Q2 110,589 1.8 87,425 1.3 NA NA 204,751 -5.4 Q3 112,517 1.7 95,129 8.8 NA NA 207,021 1.1 Q4 110,049 -2.2 87,425 -8.1 NA NA 213,990 3.4 2011 Q1 120,966 9.9 94,869 8.5 NA NA 246,326 15.1 Q2 122,713 1.4 98,433 3.8 NA NA 239,196 -2.9 Q3 126,207 2.8 102,703 4.3 NA NA 234,089 -2.1 Q4 130,232 3.2 104,630 1.9 NA NA 247,751 5.8 2012 Q1 117,585 -9.7 89,217 -14.7 NA NA 273,284 10.3 Q2 131,863 12.1 108,778 21.9 NA NA 270,167 -1.1 Q3 127,741 -3.1 101,644 -6.6 NA NA 247,531 -8.4 Q4 131,176 2.7 104,258 2.6 NA NA 254,735 2.9 2013 Q1 131,926 0.6 103,425 -0.8 NA NA 262,748 3.1 Q2 136,477 3.4 109,074 5.5 NA NA 262,260 -0.2 Q3 136,881 0.3 108,683 -0.4 NA NA 266,315 1.5 Q4 145,579 6.4 117,392 8.0 NA NA 274,959 3.2 2014 Q1 152,651 4.9 122,845 4.6 NA NA 289,467 5.3 Q2 149,595 -2.0 117,850 -4.1 NA NA 295,310 2.0 Q3 154,848 3.5 122,942 4.3 NA NA 301,301 2.0 Q4 159,046 2.7 125,100 1.8 NA NA 314,862 4.5 2015 Q1 161,963 1.8 131,473 5.1 NA NA 301,918 -4.1 Q2 160,635 -0.8 126,337 -3.9 NA NA 318,067 5.3 Q3 163,159 1.6 127,239 0.7 NA NA 328,037 3.1 Q4 164,642 0.9 128,539 1.0 NA NA 330,362 0.7 2016 Q1 166,366 1.0 130,584 1.6 NA NA 330,610 0.1 Q2 162,141 -2.5 128,162 -1.9 NA NA 318,111 -3.8 Q3 164,999 1.8 129,341 0.9 NA NA 328,677 3.3 Q4 164,510 -0.3 124,574 -3.7 NA NA 347,826 5.8 2017 Q1P 165,559 0.6 127,677 2.5 NA NA 339,443 -2.4

P - Preliminary



Index 1-Yr % Change Annual (2010 = 100) 2009 90.0 89.7 88.3 108.9 84.4 2010 100.0 11.1 100.0 11.5 100.0 13.3 100.0 -8.2 100.0 18.5 2011 112.1 12.1 110.2 10.2 119.8 19.8 110.4 10.4 109.7 9.7 2012 126.0 12.4 125.3 13.7 130.4 8.9 140.8 27.5 116.1 5.8 2013 139.4 10.7 140.1 11.8 153.4 17.6 141.9 0.7 120.7 4.0 2014 149.6 7.3 156.6 11.8 163.3 6.5 147.7 4.1 127.7 5.8 2015 158.5 5.9 161.5 3.1 171.3 4.9 160.2 8.5 137.6 7.7 2016 158.3 -0.1 163.8 1.4 170.7 -0.3 157.0 -2.0 137.5 0.0

Quarterly (2010 = 100) 2009 Q1 85.7 86.7 82.2 105.2 79.8 Q2 90.4 88.3 91.3 110.4 85.0 Q3 90.8 90.4 86.8 115.5 84.1 Q4 93.1 93.5 92.8 104.5 88.7 2010 Q1 96.6 12.7 98.6 13.7 93.7 14.0 119.8 13.9 90.1 12.9 Q2 97.4 7.7 99.7 12.9 98.8 8.2 97.3 -11.9 91.6 7.8 Q3 100.5 10.7 100.1 10.7 98.9 13.9 99.8 -13.6 100.6 19.6 Q4 104.2 11.9 102.4 9.5 105.2 13.4 99.8 -4.5 104.7 18.0 2011 Q1 105.3 9.0 102.3 3.8 114.9 22.6 99.8 -16.7 101.8 13.0 Q2 108.5 11.4 107.2 7.5 117.1 18.5 112.8 15.9 104.7 14.3 Q3 115.2 14.6 116.6 16.5 112.6 13.8 120.6 20.8 117.2 16.5 Q4 119.4 14.6 114.6 11.9 134.4 27.8 108.5 8.7 114.9 9.7 2012 Q1 120.8 14.7 121.9 19.2 131.9 14.8 132.4 32.7 101.8 0.0 Q2 122.9 13.3 117.1 9.2 124.6 6.4 146.5 29.9 121.7 16.2 Q3 131.5 14.1 132.1 13.3 132.1 17.3 149.9 24.3 122.1 4.2 Q4 128.7 7.8 130.1 13.5 133.1 -1.0 134.4 23.9 118.6 3.2 2013 Q1 136.5 13.0 134.7 10.5 152.2 15.4 137.4 3.8 120.6 18.5 Q2 136.0 10.7 136.2 16.3 149.8 20.2 134.4 -8.3 119.7 -1.6 Q3 140.2 6.6 141.2 6.9 153.9 16.5 147.9 -1.3 118.4 -3.0 Q4 145.0 12.7 148.1 13.8 157.7 18.5 147.7 9.9 124.2 4.7 2014 Q1 144.4 5.8 145.9 8.3 156.9 3.1 147.7 7.5 125.2 3.8 Q2 148.1 8.9 161.8 18.8 163.4 9.1 149.3 11.1 126.0 5.3 Q3 150.9 7.6 158.2 12.0 164.3 6.8 149.3 0.9 126.2 6.6 Q4 155.1 7.0 160.4 8.3 168.6 6.9 144.5 -2.2 133.5 7.5 2015 Q1 157.5 9.1 162.0 11.0 168.9 7.6 152.8 3.5 137.5 9.8 Q2 161.6 9.1 166.3 2.8 173.4 6.1 163.9 9.8 137.9 9.4 Q3 160.1 6.1 163.3 3.2 174.4 6.1 163.7 9.6 137.0 8.6 Q4 154.8 -0.2 154.4 -3.7 168.3 -0.2 160.5 11.1 137.8 3.2 2016 Q1 156.4 -0.7 161.0 -0.6 174.0 3.0 163.5 7.0 138.9 1.0 Q2 158.6 -1.9 163.4 -1.7 170.0 -2.0 158.5 -3.3 136.2 -1.2 Q3 159.7 -0.2 165.1 1.1 170.1 -2.5 153.8 -6.0 139.5 1.8 Q4 158.4 2.3 165.8 7.4 168.8 0.3 152.2 -5.2 135.5 -1.7 2017 Q1P 160.2 2.4 166.1 3.2 171.9 -1.2 153.2 -6.3 137.8 -0.8

14 . 0 Indeks Harga Rumah Sabah Mengikut Jenis Rumah Sabah House Price Index By House Type

Sabah

P - Preliminary



14.01 Harga Purata Rumah Sabah Mengikut Jenis Rumah Sabah Average House Price By House Type

Annual (2010 = 100) 2009 230,821 227,563 158,519 381,529 376,258 2010 256,374 253,633 179,458 350,292 445,679 2011 287,516 279,370 214,949 386,940 488,699 2012 323,142 317,798 234,172 493,373 517,131 2013 357,562 355,199 275,442 497,016 538,027 2014 383,768 397,048 293,155 517,556 569,266 2015 406,591 409,541 307,420 561,294 613,086 2016 405,956 415,476 306,499 549,996 612,921

Quarterly (2010 = 100) 2009 Q1 219,709 219,752 147,560 368,654 355,875 Q2 231,972 5.6 223,999 1.9 163,958 11.1 386,793 4.9 378,853 6.5 Q3 232,904 0.4 229,333 2.4 155,934 -4.9 404,548 4.6 374,812 -1.1 Q4 238,698 2.5 237,169 3.4 166,623 6.9 366,122 -9.5 395,491 5.5 2010 Q1 247,677 3.8 250,038 5.4 168,301 1.0 419,820 14.7 401,677 1.6 Q2 249,796 0.9 252,735 1.1 177,304 5.3 341,008 -18.8 408,095 1.6 Q3 257,812 3.2 253,849 0.4 177,506 0.1 349,591 2.5 448,543 9.9 Q4 267,141 3.6 259,720 2.3 188,790 6.4 349,591 0.0 466,625 4.0 2011 Q1 270,116 1.1 259,363 -0.1 206,219 9.2 349,591 0.0 453,684 -2.8 Q2 278,194 3.0 271,758 4.8 210,141 1.9 395,241 13.1 466,608 2.8 Q3 295,449 6.2 295,710 8.8 202,162 -3.8 422,668 6.9 522,335 11.9 Q4 306,305 3.7 290,650 -1.7 241,274 19.3 380,261 -10.0 512,170 -1.9 2012 Q1 309,832 1.2 309,195 6.4 236,808 -1.9 463,960 22.0 453,504 -11.5 Q2 315,155 1.7 296,994 -3.9 223,678 -5.5 513,370 10.6 542,274 19.6 Q3 337,384 7.1 335,102 12.8 237,181 6.0 525,397 2.3 544,106 0.3 Q4 330,198 -2.1 329,902 -1.6 239,022 0.8 470,766 -10.4 528,642 -2.8 2013 Q1 350,065 6.0 341,600 3.5 273,201 14.3 481,521 2.3 537,309 1.6 Q2 348,819 -0.4 345,385 1.1 268,994 -1.5 470,766 -2.2 533,513 -0.7 Q3 359,469 3.1 358,192 3.7 276,356 2.7 518,073 10.0 527,521 -1.1 Q4 371,895 3.5 375,620 4.9 283,215 2.5 517,703 -0.1 553,763 5.0 2014 Q1 370,319 -0.4 369,884 -1.5 281,665 -0.5 517,703 0.0 558,086 0.8 Q2 379,872 2.6 410,404 11.0 293,387 4.2 523,157 1.1 561,626 0.6 Q3 387,054 1.9 401,249 -2.2 294,953 0.5 523,157 0.0 562,496 0.2 Q4 397,827 2.8 406,653 1.3 302,615 2.6 506,206 -3.2 594,857 5.8 2015 Q1 403,983 1.5 410,766 1.0 303,224 0.2 535,283 5.7 612,831 3.0 Q2 414,570 2.6 421,776 2.7 311,237 2.6 574,168 7.3 614,583 0.3 Q3 410,759 -0.9 414,094 -1.8 313,031 0.6 573,467 -0.1 610,736 -0.6 Q4 397,052 -3.3 391,528 -5.4 302,188 -3.5 562,257 -2.0 614,193 0.6 2016 Q1 401,172 1.0 408,198 4.3 312,374 3.4 572,766 1.9 619,035 0.8 Q2 406,884 1.4 414,414 1.5 305,193 -2.3 555,251 -3.1 606,989 -1.9 Q3 409,528 0.6 418,704 1.0 305,363 0.1 538,786 -3.0 621,725 2.4 Q4 406,241 -0.8 420,588 0.4 303,067 -0.8 533,181 -1.0 603,935 -2.9 2017 Q1P 410,765 1.1 421,295 0.2 308,624 1.8 536,805 0.7 614,269 1.7

P - Preliminary


Sabah Kota Sandakan Tawau Kinabalu Weight (2010 =100) 100.0 59.6 15.7 24.8

Index 1-Yr % Change Annual (2010 = 100) 2009 89.7 89.3 96.2 88.0 2010 100.0 11.5 100.0 12.0 100.0 4.0 100.0 13.7 2011 110.2 10.2 110.8 10.8 113.2 13.2 108.1 8.1 2012 125.3 13.7 129.8 17.2 125.3 10.7 114.9 6.3 2013 140.1 11.8 141.7 9.1 155.4 24.0 129.7 12.8 2014 156.6 11.8 165.5 16.8 157.9 1.6 135.9 4.8 2015 161.5 3.1 167.9 1.4 167.7 6.2 144.4 6.3 2016 163.8 1.4 172.0 2.4 166.9 -0.5 144.3 -0.1

Quarterly (2010 = 100) 2009 Q1 86.7 86.9 88.1 85.4 Q2 88.3 87.2 96.4 87.4 Q3 90.4 89.1 100.0 89.3 Q4 93.5 93.9 100.3 89.7 2010 Q1 98.6 13.7 101.4 16.7 104.0 18.0 89.9 5.3 Q2 99.7 12.9 99.1 13.6 104.0 7.9 99.0 13.3 Q3 100.1 10.7 100.0 12.2 96.5 -3.5 100.6 12.7 Q4 102.4 9.5 101.7 8.3 109.2 8.9 103.9 15.8 2011 Q1 102.3 3.8 100.1 -1.3 106.6 2.5 107.1 19.1 Q2 107.2 7.5 108.7 9.7 107.8 3.7 104.2 5.3 Q3 116.6 16.5 119.8 19.8 117.3 21.6 109.1 8.4 Q4 114.6 11.9 114.5 12.6 121.0 10.8 112.1 7.9 2012 Q1 121.9 19.2 124.6 24.5 119.8 12.4 116.9 9.2 Q2 117.1 9.2 124.0 14.1 117.8 9.3 100.3 -3.7 Q3 132.1 13.3 141.0 17.7 125.7 7.2 115.1 5.5 Q4 130.1 13.5 129.7 13.3 138.0 14.0 127.4 13.6 2013 Q1 134.7 10.5 133.4 7.1 157.9 31.8 127.4 9.0 Q2 136.2 16.3 137.7 11.0 151.6 28.7 125.9 25.5 Q3 141.2 6.9 142.2 0.9 157.6 25.4 132.0 14.7 Q4 148.1 13.8 153.4 18.3 154.5 12.0 133.4 4.7 2014 Q1 145.9 8.3 147.6 10.6 158.1 0.1 136.6 7.2 Q2 161.8 18.8 175.1 27.2 155.4 2.5 134.9 7.1 Q3 158.2 12.0 169.1 18.9 159.7 1.3 133.1 0.8 Q4 160.4 8.3 170.3 11.0 158.5 2.6 138.9 4.1 2015 Q1 162.0 11.0 169.7 15.0 165.1 4.4 143.2 4.8 Q2 166.3 2.8 175.0 -0.1 170.3 9.6 145.1 7.6 Q3 163.3 3.2 170.0 0.5 168.5 5.5 146.0 9.7 Q4 154.4 -3.7 157.0 -7.8 166.7 5.2 143.2 3.1 2016 Q1 161.0 -0.6 168.5 -0.7 162.0 -1.9 143.7 0.3 Q2 163.4 -1.7 170.9 -2.3 166.9 -2.0 145.0 -0.1 Q3 165.1 1.1 174.2 2.5 168.2 -0.2 143.3 -1.8 Q4 165.8 7.4 174.3 11.0 170.4 2.2 145.0 1.3 2017 Q1P 166.1 3.2 175.7 4.3 169.5 4.6 143.1 -0.4

14 . 02 Sabah : Indeks Harga Rumah Teres Mengikut Kawasan Sabah : Terraced House Price Index by Region

P - Preliminary


Sabah Kota Sandakan Tawau Kinabalu Weight (2010 =100) 100.0 59.6 15.7 24.8


Quarterly (2010 = 100) 2009 Q1 219,752 225,138 171,393 237,406 Q2 223,999 1.9 225,793 0.3 187,448 9.4 242,819 2.3 Q3 229,333 2.4 230,696 2.2 194,438 3.7 248,141 2.2 Q4 237,169 3.4 243,254 5.4 195,054 0.3 249,192 0.4 2010 Q1 250,038 5.4 262,682 8.0 202,304 3.7 249,838 0.3 Q2 252,735 1.1 256,676 -2.3 202,285 0.0 275,188 10.1 Q3 253,849 0.4 258,987 0.9 187,735 -7.2 279,642 1.6 Q4 259,720 2.3 263,488 1.7 212,442 13.2 288,702 3.2 2011 Q1 259,363 -0.1 259,196 -1.6 207,357 -2.4 297,581 3.1 Q2 271,758 4.8 281,669 8.7 209,691 1.1 289,588 -2.7 Q3 295,710 8.8 310,295 10.2 228,170 8.8 303,381 4.8 Q4 290,650 -1.7 296,455 -4.5 235,381 3.2 311,668 2.7 2012 Q1 309,195 6.4 322,658 8.8 233,094 -1.0 324,982 4.3 Q2 296,994 -3.9 321,191 -0.5 229,202 -1.7 278,769 -14.2 Q3 335,102 12.8 365,278 13.7 244,573 6.7 319,826 14.7 Q4 329,902 -1.6 336,065 -8.0 268,423 9.8 353,992 10.7 2013 Q1 341,600 3.5 345,518 2.8 307,130 14.4 353,992 0.0 Q2 345,385 1.1 356,791 3.3 294,913 -4.0 349,897 -1.2 Q3 358,192 3.7 368,207 3.2 306,532 3.9 366,800 4.8 Q4 375,620 4.9 397,384 7.9 300,554 -2.0 370,788 1.1 2014 Q1 369,884 -1.5 382,178 -3.8 307,597 2.3 379,740 2.4 Q2 410,404 11.0 453,625 18.7 302,228 -1.7 374,923 -1.3 Q3 401,249 -2.2 438,086 -3.4 310,731 2.8 369,943 -1.3 Q4 406,653 1.3 441,071 0.7 308,373 -0.8 386,080 4.4 2015 Q1 410,766 1.0 439,650 -0.3 321,179 4.2 397,999 3.1 Q2 421,776 2.7 453,285 3.1 331,229 3.1 403,305 1.3 Q3 414,094 -1.8 440,299 -2.9 327,693 -1.1 405,751 0.6 Q4 391,528 -5.4 406,550 -7.7 324,224 -1.1 397,999 -1.9 2016 Q1 408,198 4.3 436,367 7.3 315,078 -2.8 399,386 0.3 Q2 414,414 1.5 442,780 1.5 324,697 3.1 402,976 0.9 Q3 418,704 1.0 451,275 1.9 327,286 0.8 398,230 -1.2 Q4 420,588 0.4 451,347 0.0 331,535 1.3 402,976 1.2 2017 Q1P 421,295 0.2 455,179 0.8 329,736 -0.5 397,750 -1.3

14 . 03 Sabah : Harga Purata Rumah Teres Mengikut Kawasan Sabah : Averaged Terraced House Price by Region

P - Preliminary




Quarterly (2010 = 100) 2009 Q1 95.4 99.9 NA 102.5 91.0 Q2 95.4 100.0 NA 102.3 90.8 Q3 91.9 94.3 NA 91.9 89.7 Q4 96.7 100.8 NA 101.9 91.3 2010 Q1 95.8 0.4 97.2 -2.7 NA 93.9 -8.4 95.1 4.5 Q2 99.9 4.7 98.8 -1.2 NA 102.6 0.3 100.0 10.1 Q3 103.5 12.6 104.0 10.3 NA 101.6 10.6 103.7 15.6 Q4 101.4 4.9 109.1 8.2 NA 96.3 -5.5 100.5 10.1 2011 Q1 104.2 8.8 107.2 10.3 NA 104.5 11.3 98.5 3.6 Q2 106.1 6.2 103.5 4.8 NA 110.2 7.4 105.1 5.1 Q3 108.9 5.2 109.6 5.4 NA 114.7 12.9 106.2 2.4 Q4 107.9 6.4 108.6 -0.5 NA 119.7 24.3 103.0 2.5 2012 Q1 116.9 12.2 109.4 2.1 NA 131.9 26.2 111.2 12.9 Q2 116.5 9.8 113.5 9.7 NA 128.2 16.3 114.8 9.2 Q3 115.9 6.4 117.8 7.5 NA 114.6 -0.1 114.7 8.0 Q4 129.1 19.6 124.9 15.0 NA 141.5 18.2 128.4 24.7 2013 Q1 132.0 12.9 125.4 14.6 NA 149.0 13.0 131.8 18.5 Q2 133.2 14.3 127.6 12.4 NA 148.3 15.7 132.8 15.7 Q3 135.7 17.1 131.2 11.4 NA 147.4 28.6 135.5 18.1 Q4 130.8 1.3 128.1 2.6 NA 147.7 4.4 127.1 -1.0 2014 Q1 136.1 3.1 131.4 4.8 NA 150.6 1.1 135.1 2.5 Q2 140.8 5.7 134.3 5.3 NA 156.9 5.8 140.9 6.1 Q3 143.1 5.5 137.2 4.6 NA 154.4 4.7 144.2 6.4 Q4 143.1 9.4 137.4 7.3 NA 153.5 3.9 144.4 13.6 2015 Q1 145.4 6.8 139.3 6.0 NA 161.7 7.4 145.0 7.3 Q2 149.2 6.0 143.1 6.6 NA 161.9 3.2 150.1 6.5 Q3 152.9 6.8 147.2 7.3 NA 160.7 4.1 155.2 7.6 Q4 154.0 7.6 143.4 4.4 NA 165.1 7.6 159.4 10.4 2016 Q1 154.6 6.3 145.5 4.5 NA 167.5 3.6 158.1 9.0 Q2 157.5 5.6 149.8 4.7 NA 168.3 4.0 160.6 7.0 Q3 159.7 4.4 151.6 3.0 NA 168.6 4.9 163.8 5.5 Q4 159.9 3.8 149.8 4.5 NA 167.8 1.6 165.6 3.9 2017 Q1P 160.4 3.8 150.0 3.1 NA 166.0 -0.9 167.7 6.1

15 . 0 Indeks Harga Rumah Sarawak Mengikut Jenis Rumah Sarawak House Price Index By House Type

Sarawak

P - Preliminary



15.01 Harga Purata Rumah Sarawak Mengikut Jenis Rumah Sarawak Average House Price By House Type


Quarterly (2010 = 100) 2009 Q1 243,246 195,590 NA 309,987 295,410 Q2 243,428 0.1 195,785 0.1 NA 309,567 -0.1 294,790 -0.2 Q3 234,335 -3.7 184,626 -5.7 NA 278,035 -10.2 291,279 -1.2 Q4 246,710 5.3 197,268 6.8 NA 308,291 10.9 296,339 1.7 2010 Q1 244,295 -1.0 190,388 -3.5 NA 284,174 -7.8 308,951 4.3 Q2 254,865 4.3 193,344 1.6 NA 310,487 9.3 324,744 5.1 Q3 263,935 3.6 203,589 5.3 NA 307,461 -1.0 336,748 3.7 Q4 258,565 -2.0 213,663 4.9 NA 291,464 -5.2 326,186 -3.1 2011 Q1 265,809 2.8 209,942 -1.7 NA 316,023 8.4 319,908 -1.9 Q2 270,673 1.8 202,696 -3.5 NA 333,319 5.5 341,343 6.7 Q3 277,791 2.6 214,642 5.9 NA 346,913 4.1 344,864 1.0 Q4 275,162 -0.9 212,656 -0.9 NA 362,164 4.4 334,365 -3.0 2012 Q1 298,271 8.4 214,140 0.7 NA 398,996 10.2 361,205 8.0 Q2 297,040 -0.4 222,300 3.8 NA 387,972 -2.8 372,899 3.2 Q3 295,657 -0.5 230,578 3.7 NA 346,823 -10.6 372,546 -0.1 Q4 329,205 11.3 244,453 6.0 NA 427,983 23.4 416,902 11.9 2013 Q1 336,693 2.3 245,411 0.4 NA 450,928 5.4 428,112 2.7 Q2 339,747 0.9 249,870 1.8 NA 448,647 -0.5 431,141 0.7 Q3 346,098 1.9 256,821 2.8 NA 445,825 -0.6 440,150 2.1 Q4 333,579 -3.6 250,750 -2.4 NA 446,832 0.2 412,819 -6.2 2014 Q1 347,103 4.1 257,309 2.6 NA 455,583 2.0 438,538 6.2 Q2 359,131 3.5 262,841 2.1 NA 474,658 4.2 457,492 4.3 Q3 364,878 1.6 268,684 2.2 NA 467,231 -1.6 468,191 2.3 Q4 364,963 0.0 269,021 0.1 NA 464,438 -0.6 469,015 0.2 2015 Q1 370,880 1.6 272,689 1.4 NA 489,340 5.4 470,928 0.4 Q2 380,609 2.6 280,199 2.8 NA 489,793 0.1 487,542 3.5 Q3 389,951 2.5 288,180 2.8 NA 486,230 -0.7 503,898 3.4 Q4 392,727 0.7 280,774 -2.6 NA 499,472 2.7 517,751 2.7 2016 Q1 394,331 0.4 284,859 1.5 NA 506,730 1.5 513,483 -0.8 Q2 401,791 1.9 293,330 3.0 NA 509,163 0.5 521,387 1.5 Q3 407,353 1.4 296,860 1.2 NA 510,062 0.2 531,771 2.0 Q4 407,912 0.1 293,218 -1.2 NA 507,701 -0.5 537,614 1.1 2017 Q1P 409,168 0.3 293,718 0.2 NA 502,375 -1.0 544,624 1.3

P - Preliminary


Sarawak Kuching Miri Sibu Weight (2010 =100) 100.0 53.3 23.0 23.7

Index 1-Yr % Change Annual (2010 = 100) 2009 98.8 98.8 92.4 99.2 2010 100.0 1.3 100.0 1.2 100.0 8.3 100.0 0.8 2011 107.2 7.2 106.5 6.5 116.6 16.6 101.4 1.4 2012 116.4 8.6 111.9 5.1 127.5 9.3 117.8 16.1 2013 128.1 10.0 122.2 9.2 143.2 12.4 129.4 9.8 2014 135.1 5.5 128.9 5.5 151.5 5.8 136.1 5.2 2015 143.3 6.1 138.5 7.5 160.3 5.8 140.3 3.1 2016 149.2 4.1 141.7 2.3 165.0 3.0 153.8 9.6

Quarterly (2010 = 100) 2009 Q1 99.9 96.7 89.4 106.1 Q2 100.0 99.3 90.7 100.5 Q3 94.3 97.6 89.2 90.7 Q4 100.8 101.6 100.1 99.4 2010 Q1 97.2 -2.7 97.8 1.1 98.7 10.4 94.7 -10.7 Q2 98.8 -1.2 98.6 -0.7 101.5 11.9 96.8 -3.7 Q3 104.0 10.3 105.3 7.9 99.8 11.9 104.4 15.1 Q4 109.1 8.2 109.5 7.8 103.0 2.9 108.4 9.1 2011 Q1 107.2 10.3 106.1 8.5 106.2 7.6 107.5 13.5 Q2 103.5 4.8 105.7 7.2 116.5 14.8 92.0 -5.0 Q3 109.6 5.4 109.2 3.7 119.3 19.5 102.5 -1.8 Q4 108.6 -0.5 105.0 -4.1 124.6 21.0 103.7 -4.3 2012 Q1 109.4 2.1 102.5 -3.4 121.0 14.0 116.0 7.9 Q2 113.5 9.7 107.1 1.3 128.9 10.7 115.9 26.0 Q3 117.8 7.5 111.3 1.9 128.2 7.5 124.4 21.4 Q4 124.9 15.0 126.7 20.7 131.7 5.7 114.8 10.7 2013 Q1 125.4 14.6 120.5 17.6 142.2 17.5 122.6 5.7 Q2 127.6 12.4 123.7 15.5 140.0 8.6 126.6 9.2 Q3 131.2 11.4 124.4 11.8 144.1 12.4 136.5 9.7 Q4 128.1 2.6 120.0 -5.3 146.5 11.2 131.8 14.8 2014 Q1 131.4 4.8 124.6 3.4 149.0 4.8 132.9 8.4 Q2 134.3 5.3 128.1 3.6 151.0 7.9 134.8 6.5 Q3 137.2 4.6 132.1 6.2 150.1 4.2 138.7 1.6 Q4 137.4 7.3 130.6 8.8 155.8 6.3 138.1 4.8 2015 Q1 139.3 6.0 132.7 6.5 157.1 5.4 139.9 5.3 Q2 143.1 6.6 140.0 9.3 160.0 6.0 136.3 1.1 Q3 147.2 7.3 143.8 8.9 162.3 8.1 142.4 2.7 Q4 143.4 4.4 137.3 5.1 161.6 3.7 142.6 3.3 2016 Q1 145.5 4.5 139.8 5.4 161.6 2.9 145.5 4.0 Q2 149.8 4.7 144.5 3.2 162.5 1.6 151.8 11.4 Q3 151.6 3.0 142.9 -0.6 167.3 3.1 159.2 11.8 Q4 149.8 4.5 139.5 1.6 168.7 4.4 158.5 11.2 2017 Q1P 150.0 3.1 140.2 0.3 168.2 4.1 158.2 8.7

15 . 02 Sarawak : Indeks Harga Rumah Teres Mengikut Kawasan Sarawak : Terraced House Price Index by Region

P - Preliminary


Sarawak Kuching Miri Sibu Weight (2010 =100) 100.0 53.3 23.0 23.7


Quarterly (2010 = 100) 2009 Q1 195,590 200,481 152,222 206,262 Q2 195,785 0.1 205,981 2.7 154,425 1.4 195,445 -5.2 Q3 184,626 -5.7 202,412 -1.7 151,992 -1.6 176,260 -9.8 Q4 197,268 6.8 210,613 4.1 170,537 12.2 193,172 9.6 2010 Q1 190,388 -3.5 202,757 -3.7 168,074 -1.4 184,133 -4.7 Q2 193,344 1.6 204,427 0.8 172,920 2.9 188,216 2.2 Q3 203,589 5.3 218,355 6.8 169,932 -1.7 203,016 7.9 Q4 213,663 4.9 226,952 3.9 175,322 3.2 210,733 3.8 2011 Q1 209,942 -1.7 219,905 -3.1 180,787 3.1 208,935 -0.9 Q2 202,696 -3.5 219,076 -0.4 198,341 9.7 178,931 -14.4 Q3 214,642 5.9 226,390 3.3 203,147 2.4 199,353 11.4 Q4 212,656 -0.9 217,742 -3.8 212,199 4.5 201,650 1.2 2012 Q1 214,140 0.7 212,618 -2.4 205,998 -2.9 225,472 11.8 Q2 222,300 3.8 222,105 4.5 219,598 6.6 225,360 0.0 Q3 230,578 3.7 230,824 3.9 218,303 -0.6 241,937 7.4 Q4 244,453 6.0 262,633 13.8 224,248 2.7 223,135 -7.8 2013 Q1 245,411 0.4 249,961 -4.8 242,174 8.0 238,308 6.8 Q2 249,870 1.8 256,474 2.6 238,490 -1.5 246,048 3.2 Q3 256,821 2.8 257,964 0.6 245,362 2.9 265,370 7.9 Q4 250,750 -2.4 248,830 -3.5 249,560 1.7 256,225 -3.4 2014 Q1 257,309 2.6 258,386 3.8 253,681 1.7 258,404 0.9 Q2 262,841 2.1 265,609 2.8 257,186 1.4 262,097 1.4 Q3 268,684 2.2 273,931 3.1 255,603 -0.6 269,569 2.9 Q4 269,021 0.1 270,882 -1.1 265,321 3.8 268,422 -0.4 2015 Q1 272,689 1.4 275,169 1.6 267,624 0.9 272,022 1.3 Q2 280,199 2.8 290,262 5.5 272,490 1.8 265,025 -2.6 Q3 288,180 2.8 298,275 2.8 276,336 1.4 276,948 4.5 Q4 280,774 -2.6 284,725 -4.5 275,157 -0.4 277,333 0.1 2016 Q1 284,859 1.5 289,884 1.8 275,149 0.0 282,971 2.0 Q2 293,330 3.0 299,681 3.4 276,766 0.6 295,110 4.3 Q3 296,860 1.2 296,354 -1.1 284,902 2.9 309,609 4.9 Q4 293,218 -1.2 289,168 -2.4 287,304 0.8 308,079 -0.5 2017 Q1P 293,718 0.2 290,716 0.5 286,402 -0.3 307,579 -0.2

15 . 03 Sarawak : Harga Purata Rumah Teres Mengikut Kawasan Sarawak : Averaged Terraced House Price by Region

P - Preliminary


INTRODUCTION

Beginning Q1 2017 report, the Malaysian House Price Index (MHPI) has been revised and the revision begins with the first quarter 2010 data. NAPIC has:

• Updated the base year to 2010;

• Computed the index on a quarterly basis and published two months after the end of every half year;

• Brought in price indices of terraced houses and high-rise units at the level of districts/regions;

• Reviewed and revised the level of each stratum in the house type stratification structure;

• Revised the geographical stratification whereby a district / mukim is further subdivided into housing neighbourhoods which are clusters of housing schemes/area of similar neighbourhood characteristics;

• Revised and added house characteristics

• Introduced a sampling reweighting procedure in cases where there are insufficient sample sizes due to missing observations;

• Used weighted average procedure to derive the overall indices for terraced houses, high-rise units and all houses at the state and national levels; and

• Calculated the price index based on the Lapspeyres weighted formula

However, the key concepts that have dictated the construction of house price indices introduced in 1997 remained unchanged in the revised IHRM 2010. A full explanation of the construction of the 1997 house price index is given in the “Malaysian House Price Index: “A Technical Summary”.

123 series of quarterly and 123 series of annual house price indices are derived for 46 districts/regions and 14 states respectively. House price index series for Malaysia and 14 States and Territories are computed as weighted averages of the district/regional and state results. These series are shown in Table 1.

CONCEPTS

The key concepts that have continued to form the basis of the revised IHRM 2010 are as follows:

• It is a transaction based house price index.

• It measures of the change in prices paid for an “average” house.

• Price change is estimated by pricing a basket of house characteristics of the “average” house transacted in the current period and comparing this price with the price of the same basket of house characteristics in the base year (2010). Fundamentally, it is a ratio that shows how much the cost of housing has changed between two periods (the base and the current periods) if the house buyers maintain the standard of living in the latter period.

The hedonic methodology is used as the basic approach to price measurement of an “average” house whereby houses are not priced for themselves as such but for the set of fixed characteristics which embodied in the assets. The fixed set of house characteristics, comprising mainly location, physical and legal characteristics is a set of housing variables that have been statistically proven to be significant in determining the prices of the “average” house. The “average” house is constructed by a statistical method based on house transactions selected according to the sampling frame that were estimated from the population of housing transactions in the base year (2010).

The Malaysian House Price Index

Explanatory NotesTable 1: Number of House Price Index Series Quarterly Annual District/Regional House Price Index Terraced House 46 46 High-Rise Unit 7 7 Semi-Detached House 3 3 State Level House Price Index Terraced House 14 14 High-Rise Unit 7 7 Detached House 13 13 Semi-Detached House 14 14 All Houses 14 14

National Level Terraced House 1 1 High-Rise Unit Price 1 1 Detached House 1 1 Semi-Detached House 1 1 All Houses 1 1

TOTAL 123 123

NEW BASE YEAR

The price index base is “rebased” so that each index equals 100.0 in 2010. The objective is to reflect changes in buyers preference and emergence of new trends in the market place since 1990. The sampling frame (location, house type and size) has therefore beenreviewed according to the pattern of all houses sold in 2010.

DATA

The Valuation Information System (VIS) of the Valuation and Property Services Department and the Memorandum of Transfers of Land and Survey Department, Sarawak remain as the main sources of data for the index computation. They provide sales data of housing properties that people buy and sell in the 14 states and Federal Territories throughout the country everyday. The samples collected from these sources are therefore reasonably representative of houses sold in Malaysia. On an average, the size of data is about 20,000 observations per quarter. They contain information on the location, physical and legal characteristics of various types of houses sold.

GEOGRAPHIC STRATIFICATION

As part of the IHRM revision, NAPIC has identified 46 index areas at district/regional level and 14 at state level. For example, Daerah Seremban is an index area at district/regional level while Perlis is an index area at state level. In most of the states, the index areas covered coincide with the standard boundaries of states or districts/a combination of districts used for administrative purposes. In Kuala Lumpur, an index area is identified by mukim/section boundaries but the index areas in Sabah and Sarawak are distinguished by Division boundaries.

Within an administrative district, it is further classified into housing neighbourhoods for the purpose of sample selection. The housing neighbourhood is the lowest level of geographical stratification structure. The stratification is aimed to accomplish the following goals:


SAMPLING

The revised IHRM samples are drawn for each basic unit (category-index area combination) based on the sample size allocated to each housing group-neighbourhood combination. The group-housing neighbourhood is the combination of a house type by cost at Level 4 and a housing neighbourhood. NAPIC has determined the number of price observations for each of the group-housing neighbourhoods based on the volume of residential houses transacted in 2010. At the end of every quarter, NAPIC will select samples in proportion to the samples allocated to each of the housing neighbourhoods.

PRICE INDEX COMPUTATION

The revised IHRM is primarily developed from 86 separate price models constructed for 86 house category-index areas. There are 46 models for terraced houses, 11 models for high-rise units, 13 models for detached houses and 16 models for semi-detached houses. The distribution of the 86 models by state, districts/regions and house types are shown in Appendix A-2. NAPIC works out a price index for every house category-index areas (here referred as “partial indices”).

The 86 price indices are fixed-weight Laspeyres indices which use a semi-logarithm house price model to estimate the current period house price of the “average” house. This is then compared to the actual house price of the average house sold in the base year (2010). As a result, the fixed basket of house characteristics of the “average” house is re-valued each period, and the index reflects only pure price changes on a basis where the variations in house characteristics are kept constant. The Laspyeres index has the following form:

exp (∑Bj(t) Qj(2010) Lt = x 100

exp (∑Bj(2010) Qj(2010)

where

“exp” symbolises ‘exponent’

Bj (t) = the hedonic model regression coefficient of current period

Bj (2010) = the hedonic model regression coefficient of the base

year 2010 Qj (2010) = the characteristic averages for houses sold in 2010

The denominator represents the actual house price of the “average’ house sold in 2010. The numerator is the current period house price of the “average” house sold in 2010.

Table 2 House Type StratificationALL HOUSES

Terrace High Rise Detach Semi-Detach

1 - 1 1/2 Storey

2 - 3 Storey

Low Me-dium High 1 - 1½

Storey2 - 3

Storey1 - 1½Storey

2 - 3Storey

Low Me-dium High Low Me-

dium High

land area,floor area,age, ect.













Level 1(All Items)

Level 2 (Major Categories by Type

Level 3 (Class by Number of Floors)

Level 4 (Group by Cost)

Level 5 (House Characteristic)

• To cover the major characteristics (geography and price level) that are correlated with price change

• To reduce the sampling variance of the house price indices

• To allow unbiased selection of housing units when there are many newly launched units dominating a thin market

A housing neighbourhood can be defined as follows:

A housing neighbourhood consists of a group of dwellings located in housing schemes/areas that have similar physical, environmental, social and economic characteristics. Dwellings of a particular type are reasonably close substitutes for each other in terms of housing neighbourhoods of the same category, but at the same time are bad substitutes for dwellings in other housing neighbourhoods of different categories.

A housing neighbourhood study was carried out in all states except for Sarawak with the objective to statistically classify a district into several clusters of housing neighbourhood by physical, environmental, social and economic characteristics. Two statistical techniques are used to analyse housing neighbourhoods for the revised IHRM studies. First, principal component analysis is used to extract a reduced set of orthogonal factors from the 30 physical, environmental, social and economic factors (See Appendix A-1) collected for all housing schemes/location in a district. Then, Two-Step Cluster analysis is used on the principal components to determine the most appropriate category for each of the housing schemes/locations. In Sarawak, housing neighbourhoods are classified according to land category viz. Town Land, Suburban Land and Country Land.

HOUSE TYPE STRATIFICATIONThe house type stratification for the revised Malaysian House Price Index is based on a classification scheme used to partition all types of houses in Malaysia into a hierarchy of increasingly detailed categories. There are five levels in the house type stratification structure as shown in Table 2:

Level 5 is the entry level for sales records which consists of quantitative and qualitative data of independent variables. All houses in Level 1, Terraced, High-Rise, Detached and Semi-Detached in 2 are the categories in the house type stratification structure for which a comprehensive set of indices are computed.

The category-index area combination is the basic unit for which an index is computed. For example, Terraced is a category and Daerah Petaling is an index area; terraced houses in Daerah Petaling are a category-index area combination. The index computed for a category-index area is known as basic index.

The category-index area combination is the basic unit for which an index is computed. For example, Terraced is a category and Daerah Petaling is an index area; terraced houses in Daerah Petaling are a category-index area combination. The index computed for a category-index area is known as basic index.


VARIABLES FOR REGRESSION MODELS

When revising the IHRM, all variables used in the 1997 regression models remained in the current models except for neighbourhood quality which has been replaced by neighbourhood classification based on the housing neighbourhood study. NAPIC investigated the new replacement and it was found significant in most of the 86 models.

The variables in the regression models are:

• Land area (for landed property such as terraced, detached and high-rise unit)• Floor area• Age of building• Distance from the nearest town centre• Floor level for subject property (for high-rise unit only)• House type• Building quality• Tenure type (freehold or leasehold)• Neighbourhood classification

DATA QUALITY The data samples collected for each time period are edited

before being used in the index computation. During the editing process, the following rules are observed:

• To reject observations if the sales prices are missing

• To exclude observations with missing qualitative characteristics

• To replace missi++ng quantitative characteristics with simple average value

• To discard observations with extreme value of sales prices and/or quantitative characteristics

• To eliminate observations which have been identified as outliers by regression

• To replace missing observations with substitution of property sales from similar housing neighbourhood or proxy valuation due to inability to obtain any observations

The price index in a given period is based on a particular sample of house sales observation available in the VIS and the Memorandums of Transfers of Land and Survey Department, Sarawak at the end of the period. As there is a time lag between the sales and the receipt of cases by Valuation and Property Services Department, the price index computed for the latest reporting quarter is only a preliminary estimate as there may be many market sales that have not been recorded by the Department. However, the price index will be revised in the following reporting quarter when more observations are recorded. Bias in estimate may also occur in processing the data. However, it is believe that most of the operational errors were detected in the course of reviewing the data for reasonableness and consistency.

CALCULATING INDEX CHANGES

Movement of the price index from one period to another is gauged as a percentage change in index points as index point changes are influenced by the level of the index in relation to its base but percentage changes are not. The computation of percentage change in index points is illustrated as follows:

• Price Index of Current Quarter 120.5• Less Price Index of Previous Quarter 118.6• Index point difference 1.9• Divided by the previous index 118.6• Equals 0.016• Results multiplied by 100 0.016 x 100• Equals percentage change 1.6

For each of the 86 Laspyeres indices of a given a time period, NAPIC obtains a linear regression estimate of the natural logarithm of the current house price of the “average” house sold in the base year using the basket characteristics that affect price. The log-linear function model defines the natural logarithm of sale price (P) as dependent variable, the numerical and quality characteristics (x1, x2 …xn) as independent variables as follows:

lnPit = B0(t) + B1(t) x1it + B2(t) x2it + ……+Bm(t) xmit + eit

Where,

lnPit = natural logarithm of sale price for the it house sold during time t B1(t) , B2(t), …Bm(t) = the coefficient for the numerical and quality variable m for period t x1it … xmit = the observed value of the

quantitative values or qualitative variable (1 or 0) for house i in period t

B0(t) = the constant term in the regression e = the random error which is unexplained by the equation

The regression coefficients B1(t), B2(t), …Bm(t) are logarithms of implicit proportionality factors. The antilog (Bi) for the quantitative variables such as land area and age, and for the qualitative variables such as land tenure and building condition is a multiplicative factor. The multiplicative factor for numerical variables is proportional to the numerical value for houses that have the same qualitative characteristics with house prices increased faster than the numerical value when the factor is greater than one, and conversely house prices increased slower than the numerical value when the numerical value is less than one. For the qualitative variables, the antilog (Bi) denotes a proportionate increase in sales prices if the factor is positive or a decrease in the sale price if it is negative.

In the regression process, weights are applied to each of the house price observations according to the sampling rates allocated to each housing group-neighborhood. Weights will be adjusted to account for cases where the number of observations available is less than the sampling rate due to missing observations, outliers elimination and exclusion of observations with missing house characteristics. The missing observations will be represented by a weight adjustment that is applied by stratum to the available units.

For each quarter period, the regression coefficients are computed, and they are used to calculate the current period index number for each of the 86 indices from the fixed-weight Laspeyeres formula. The computation of price indices has been structured so that the index number equals 100.0 in the base year (2010).

The quarterly Malaysian All Houses Index is a weighted average of the indices aggregated from the 14 state-All Houses indices. A state-All House Price index is a weighted average of the indices summed up from the state-terraced, state-high-rise, state-detached and state-semi-detached indices. The state-terraced and state-high rise unit price indices are weighted averages computed from the terraced-district (index area) and high rise unit-district models respectively. Similarly, the quarterly National Terraced, High-rise, Detached and Semi-Detached indices are weighted averages of the entire state-terraced, state-high rise, state-detached and state-semi-detached indices respectively. The weights for the computation of each of these indices are the sampling rates that have been determined for the index districts and states. The weights in percentages are shown in Appendix A - 3.

The annual house price indices for the 86 house category-index areas are constructed in the similar manner as the quarterly indices except that the current quarterly period for estimating the regression coefficient for each of the 86 component indices is the calendar year. Using the same approach as the quarterly price index, the 86 annual indices are aggregated to produce the state, national and Malaysian house price indices.


(I) PHYSICAL & ENVIROMENTAL FACTOR

• Scheme Age• Local Authority Area• Location (Core, inner, middle, outer or fringe of a city/town) • Proximity to Town/City• Proximity to School• Proximity to Community Retail Centre• Proximity to Regional Shopping Centre• Playground/Open Space• Drainage (Frequency of flood occurrence in a particular scheme/neighbourhood)• Availability of Electricity, Water and Modern Sanitary Sewer• Quality of Entrance and Exit Roads• Availability and Type of Public Transport• Quality of Landscaping• Pattern of Land Use by Category• Number of Housing Units• Number of Terraced Units• Number of Semi-Detached Units• Number of Detached Units• Number of High-Rise Units• Low-Cost Unit Proportion• Type of Building Construction• Quality of Principal Structure• Average number of bedrooms per unit• Average number of bathrooms per unit

(II) SOCIAL FACTOR

• Ethnic Structure• Quality of Neighborhood in the Surrounding• Type of Land Use in the Surrounding

(III) ECONOMIC FACTOR

• Household Income• Level of Occupancy• Frequency of Property Turnover/ Transaction

Appendix A- 1Factors Used in Principal Component Analysis for Housing Neighbourhood Study


Appendix A- 2Number of House Price Index Models

Table 1 Number Of Models by State and House TypesState Terrace High-Rise Semi-Detach Detach Total

District/Region




State

Kuala Lumpur......................Selangor..............................Johor....................................Pulau Pinang.......................Negeri Sembilan..................Perak...................................Melaka.................................Kedah..................................Pahang................................Terengganu.........................Kelantan..............................Perlis....................................Sabah..................................Sarawak..............................

3 6 7 2 3 5 2 4 4 2 0 0 3 3

0 0 0 0 0 0 0 0 0 0 11 0 0

3 2 0 2 0 0 0 0 0 0 0 0 0 0

00 1 0 1 01 0 0 0 0 0 1 0

0 0 0 0 0 0 0 3 0 0 0 0 0 0

1 1 1 1 1 1 1 0 1 1 1 1 1 1

0 0 0 0 0 0 0 0 0 0 0 0 0 0

1 1 1 1 1 1 1 1 1 1 1 0 1 1

8 8 8 6 6 7 5 8 6 4 3 2 6 5

Total..................................... 44 2 7 4 3 13 0 13 86

Table 2 Distribution of Terraced, High-Rise and Semi-Detached Models by State and District

StateName of District/ Region

Terraced High-Rise Semi-Detached

Kuala Lumpur

Selangor

Johor

Pulau Pinang

Negeri Sembilan

Perak

Melaka

Kedah

Pahang

Terengganu

Sabah

Sarawak

Kuala Lumpur Central, Kuala Lumpur North,Kuala Lumpur South

Petaling, Kelang, Gombak, Hulu Langat,Sepang, K. Selangor

Johor Bahru, Batu Pahat, Muar,Kluang, Segamat,Kulaijaya, Kota Tinggi/Pontian

Penang Island,Seberang Perai

Seremban, Port Dickson,Tampin & Others

Kinta, Manjung, Batang Padang, Hilir Perak, Larut Matang

Melaka TengahAlor Gajah-Jasin

Kota Setar, Kuala Muda,Kubang Pasu, Kulim

Kuantan, Temerloh, Bentong,Jerantut-Lipis-Raub

Kuala Terengganu, Kemaman

Kota Kinabalu, Sandakan, Tawau

Kuching, Miri, Sibu

Kuala Lumpur Central, Kuala Lumpur North,Kuala Lumpur South

Petaling, Hulu Langat

-

Penang Island,Seberang Perai

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

Kota Setar, Kuala Muda,Kulim

-

-

-

-


Table 2. WEIGHTS USED IN CALCULATING THE ALL HOUSE PRICE INDEX BY STATE (%)

State Terrace High-Rise Detach Semi- Total Detach

Kuala Lumpur 27.8 65.1 4.0 3.1 100.0

Selangor 60.2 28.9 5.8 5.1 100.0

Johor 77.9 8.5 4.2 9.4 100.0

Pulau Pinang 34.2 52.2 3.6 9.9 100.0

Negeri Sembilan 70.7 7.8 13.0 8.5 100.0

Perak 74.1 0.0 15.9 9.9 100.0

Melaka 70.4 15.9 4.9 8.8 100.0

Kedah 68.9 0.0 5.4 25.7 100.0

Pahang 71.9 0.0 18.4 9.8 100.0

Terengganu 41.3 0.0 33.0 25.6 100.0

Kelantan 39.7 0.0 51.8 8.5 100.0

Perlis 82.1 0.0 0.0 17.9 100.0

Sabah 42.0 38.4 6.8 12.9 100.0

Sarawak 51.7 0.0 13.5 34.8 100.0

Appendix A- 3Weights Used In Calculating The Malaysian House Price Index

Table 1. WEIGHTS USED IN CALCULATING THE MALAYSIAN ALL HOUSE PRICE INDEX (%) State Terrace High-Rise Detach Semi- Total Detach

Kuala Lumpur 2.9 6.9 0.4 0.3 10.6

Selangor 18.4 8.8 1.8 1.6 30.5

Johor 10.7 1.2 0.6 1.3 13.7

Pulau Pinang 3.5 5.3 0.4 1.0 10.1

Negeri Sembilan 3.3 0.4 0.6 0.4 4.6

Perak 6.3 0.0 1.3 0.8 8.5

Melaka 2.3 0.5 0.2 0.3 3.2

Kedah 3.1 0.0 0.2 1.2 4.6

Pahang 2.2 0.0 0.6 0.3 3.1

Terengganu 0.5 0.0 0.4 0.3 1.3

Kelantan 0.2 0.0 0.2 0.0 0.4

Perlis 0.3 0.0 0.0 0.1 0.4

Sabah 1.3 1.2 0.2 0.4 3.2

Sarawak 3.0 0.0 0.8 2.0 5.8

MALAYSIA 58.0 24.2 7.7 10.0 100.0


Table 3. WEIGHTS USED IN CALCULATING THE MALAYSIAN HOUSE PRICE INDEX BY TYPE (%)

STATE & DISTRICT/REGION TERRACE HIGH-RISE DETACH SEMI-DETACH

KUALA LUMPUR .......................................... 5.1 28.4 5.5 3.3 Kuala Lumpur Central ........................... 1.4 12.3 0.0 0.0 Kuala Lumpur North .............................. 2.4 11.0 0.0 0.0 Kuala Lumpur South ............................. 1.3 5.2 0.0 0.0 SELANGOR ................................................... 31.6 36.3 22.8 15.6 Petaling ................................................. 11.3 26.3 0.0 0.0 Klang ..................................................... 8.1 0.0 0.0 0.0 Gombak ................................................. 3.2 0.0 0.0 0.0 Hulu langat ............................................ 7.0 10.0 0.0 0.0 Kuala Selangor ...................................... 1.1 0.0 0.0 0.0 Sepang .................................................. 1.0 0.0 0.0 0.0 JOHOR .......................................................... 18.4 4.8 7.4 12.8 Johor Bahru ........................................... 9.8 0.0 0.0 0.0 Batu Pahat ............................................ 2.6 0.0 0.0 0.0 Muar ...................................................... 1.4 0.0 0.0 0.0 Keluang ................................................. 1.0 0.0 0.0 0.0 Segamat ................................................ 1.3 0.0 0.0 0.0 Kulai Jaya .............................................. 1.6 0.0 0.0 0.0 Kota Tinggi/Pontian ............................... 0.8 0.0 0.0 0.0

PULAU PINANG ............................................ 6.0 21.8 4.8 10.0 Penang Island ....................................... 1.6 19.3 0.0 0.0 Seberang Perai ..................................... 4.4 2.5 0.0 0.0

NEGERI SEMBILAN ..................................... 5.6 1.5 7.8 3.9 Seremban .............................................. 3.9 0.0 0.0 0.0 Port Dickson .......................................... 0.7 0.0 0.0 0.0 Tampin & Others ................................... 1.1 0.0 0.0 0.0

PERAK .......................................................... 10.8 0.0 17.5 8.4 Kinta/Ipoh .............................................. 6.9 0.0 0.0 0.0 Manjung ................................................ 1.4 0.0 0.0 0.0 Batang Padang ..................................... 0.6 0.0 0.0 0.0 Hilir Perak ............................................. 0.6 0.0 0.0 0.0 Larut Matang ......................................... 1.3 0.0 0.0 0.0

MELAKA ........................................................ 3.9 2.1 2.1 2.8 Melaka Tengah ...................................... 1.0 0.0 0.0 0.0 Alor Gajah-Jasin .................................... 2.9 0.0 0.0 0.0

KEDAH .......................................................... 5.4 0.0 3.2 11.7 Kota Setar ............................................. 1.5 0.0 0.0 3.2 Kuala Muda ........................................... 2.1 0.0 0.0 5.0 Kubang Pasu ......................................... 0.4 0.0 0.0 0.0 Kulim ..................................................... 1.5 0.0 0.0 3.4

PAHANG ........................................................ 3.9 0.0 7.4 3.0 Kuantan ................................................. 2.1 0.0 0.0 0.0 Temerloh ............................................... 0.8 0.0 0.0 0.0 Bentong ................................................. 0.4 0.0 0.0 0.0 Jerantut-Lapis-Raub .............................. 0.5 0.0 0.0 0.0

TERENGGANU ............................................. 0.9 0.0 5.5 3.2 Kuala Terengganu ................................. 0.3 0.0 0.0 0.0 Kemaman .............................................. 0.6 0.0 0.0 0.0

KELANTAN ................................................... 0.3 0.0 3.0 0.4

PERLIS .......................................................... 0.5 0.0 0.0 0.6

SABAH .......................................................... 2.3 5.0 2.8 4.1 Kota Kinabalu ........................................ 1.4 0.0 0.0 0.0 Sandakan .............................................. 0.4 0.0 0.0 0.0 Tawau .................................................... 0.6 0.0 0.0 0.0

SARAWAK ..................................................... 5.2 0.0 10.2 20.2 Kuching ................................................. 2.8 0.0 0.0 0.0 Miri ........................................................ 1.2 0.0 0.0 0.0 Sibu ....................................................... 1.2 0.0 0.0 0.0 MALAYSIA ..................................................... 100.0 100.0 100.0 100.0


Table 4. WEIGHTS USED IN CALCULATING TERRACED, HIGH-RISE, DETACHED AND SEMI-DETACHED PRICE INDEX BY STATE (%)

STATE & DISTRICT/REGION TERRACE HIGH-RISE DETACH SEMI-DETACH

KUALA LUMPUR ......................................... 100.0 100.0 100.0 100.0 Kuala Lumpur Central .......................... 28.3 43.1 0.0 0.0 Kuala Lumpur North ............................. 46.9 38.5 0.0 0.0 Kuala Lumpur South ............................. 24.8 18.4 0.0 0.0

SELANGOR .................................................. 100.0 100.0 100.0 100.0 Petaling ................................................. 35.7 72.5 0.0 0.0 Klang ..................................................... 25.5 0.0 0.0 0.0 Gombak ................................................. 10.1 0.0 0.0 0.0 Hulu langat ............................................ 22.0 27.5 0.0 0.0 Kuala Selangor ...................................... 3.5 0.0 0.0 0.0 Sepang .................................................. 3.2 0.0 0.0 0.0

JOHOR ......................................................... 100.0 100.0 100.0 100.0 Johor Bahru ........................................... 53.3 0.0 0.0 0.0 Batu Pahat ............................................ 14.0 0.0 0.0 0.0 Muar ...................................................... 7.7 0.0 0.0 0.0 Keluang ................................................. 5.3 0.0 0.0 0.0 Segamat ................................................ 6.8 0.0 0.0 0.0 Kulai Jaya .............................................. 8.8 0.0 0.0 0.0 Kota Tinggi/Pontian ............................... 4.1 0.0 0.0 0.0

PULAU PINANG ........................................... 100.0 100.0 100.0 100.0 Penang Island ....................................... 26.7 88.4 0.0 0.0 Seberang Perai ..................................... 73.3 11.6 0.0 0.0

NEGERI SEMBILAN ..................................... 100.0 100.0 100.0 100.0 Seremban .............................................. 68.7 0.0 0.0 0.0 Port Dickson .......................................... 12.1 0.0 0.0 0.0 Tampin & Others ................................... 19.3 0.0 0.0 0.0

PERAK ......................................................... 100.0 0.0 100.0 100.0 Kinta/Ipoh .............................................. 64.0 0.0 0.0 0.0 Manjung ................................................ 12.8 0.0 0.0 0.0 Batang Padang ..................................... 5.7 0.0 0.0 0.0 Hilir Perak ............................................. 5.1 0.0 0.0 0.0 Larut Matang ......................................... 12.3 0.0 0.0 0.0

MELAKA ....................................................... 100.0 100.0 100.0 100.0 Melaka Tengah ...................................... 26.2 0.0 0.0 0.0 Alor Gajah-Jasin .................................... 73.8 0.0 0.0 0.0 KEDAH ......................................................... 100.0 0.0 100.0 100.0 Kota Setar ............................................. 27.0 0.0 0.0 27.9 Kuala Muda ........................................... 38.2 0.0 0.0 43.2 Kubang Pasu ......................................... 7.7 0.0 0.0 0.0 Kulim ..................................................... 27.1 0.0 0.0 28.9 PAHANG ....................................................... 100.0 0.0 100.0 100.0 Kuantan ................................................. 55.2 0.0 0.0 0.0 Temerloh ............................................... 20.6 0.0 0.0 0.0 Bentong ................................................. 10.6 0.0 0.0 0.0 Jerantut-Lapis-Raub .............................. 13.6 0.0 0.0 0.0

TERENGGANU ............................................ 100.0 0.0 100.0 100.0 Kuala Terengganu ................................. 36.6 0.0 0.0 0.0 Kemaman .............................................. 63.4 0.0 0.0 0.0

KELANTAN .................................................. 100.0 0.0 100.0 100.0

PERLIS ......................................................... 100.0 0.0 0.0 100.0

SABAH ......................................................... 100.0 100.0 100.0 100.0 Kota Kinabalu ........................................ 59.6 0.0 0.0 0.0 Sandakan .............................................. 15.7 0.0 0.0 0.0 Tawau .................................................... 24.8 0.0 0.0 0.0

SARAWAK .................................................... 100.0 0.0 100.0 100.0 Kuching ................................................. 53.3 0.0 0.0 0.0 Miri ........................................................ 23.0 0.0 0.0 0.0 Sibu ....................................................... 23.7 0.0 0.0 0.0


Cawangan Jabatan Penilaian dan Perkhidmatan HartaValuation dan Property Services Department Branch Offices

IBU PEJABATAras 9, Perbendaharaan 2No.7, Persiaran Perdana, Presint 262592 PURTAJAYANo. Tel: 03-88869000No. Faks: 03- 88869001

WILAYAH PERSEKUTUAN KUALA LUMPURTingkat 2, 1 SentralKL Sentral, Jalan Traves50470 KUALA LUMPURNo. Tel:03-22721797No.Faks:03-22721795

SELANGORTingkat 8, Plaza PerangsangPersiaran Perbandaran40000 SHAH ALAMNo.Tel:03- 55184603/03-55197825No. Faks: 03 -55107397

JOHORBangunan JARONo. 18, Jalan Sungai Chat80100 Johor Bahru, JohorNo. Tel:07-2188800No. Faks:07-2234266

PULAU PINANGTingkat 41, Bangunan KOMTAR10593 PULAU PINANGNo. Tel:04-2612607 / 04-2612576No. Faks:04-2615990

PERAKTingkat 8, Bangunan Sri KintaJalan Sultan Idris Shah30593 IPOHNo. Tel:05-2414577 / 05-2414658No. Faks:05-2544310

NEGERI SEMBILANTingkat 8 & 9, Bangunan Yayasan NegeriJalan Yam Tuan70000 SEREMBANNo. Tel:06 - 763 8600 / 06-7638602No. Faks:06 - 763 9306

MELAKAAras 7, Wisma PersekutuanJalan MITC, Hang Tuah Jaya 75450 AYER KEROHNo. Tel:06-2328102 / 06-232814No. Faks:06 - 232 8202

KEDAHAras 2, Zon C ,Wisma PersekutuanPusat Pentadbiran Kerajaan PersekutuanBandar Muadzam Shah, Anak Bukit06550 ALOR SETARNo. Tel:04 – 7001900 / 04-7001901No. Faks:04-7001904

PAHANGTingkat 2, Bangunan KWSPBandar Indera Mahkota25200 KUANTANNo. Tel:09 - 5715 111No. Faks:09-5715112

TERENGGANUTingkat 9, Wisma PersekutuanJalan Sultan Ismail20200 KUALA TERENGGANUNo. Tel:09-6221266 / 09-6221305No. Faks:09-6261360

KELANTANTingkat 4, Wisma PersekutuanJalan Bayam15592 KOTA BAHRUNo. Tel:09-7481600 / 09-7481670No. Faks:09-7441500

PERLISTingkat Dua, Bgn. PersekutuanPersiaran Jubli Emas01000 KANGARNo. Tel:04-9762978 / 04-9762977No. Faks:04-9761010

SABAHTingkat 4, Blok B, Kompleks KUWASAJalan Karamunsing Beg Berkunci 204388999 KOTA KINABALUNo. Tel:088-248328 / 088-248325No. Faks:088-242328

SARAWAKTingkat 3, Wisma HongNo. 202, Batu 2 ¾,Jalan Rock93200 KUCHINGNo. Tel:082-255116 / 082-255859No. Faks:082-426226

© Jabatan Penilaian dan Perkhidmatan HartaHak cipta terpelihara.

Tidak dibenarkan mengeluar ulang mana-mana bahagian artikel, ilus-trasi, dan isi kandungan laporan ini dalam apa juga bentuk dan dengan cara apa jua sama ada secara elektronik, salinan foto, mekanik, raka-man atau cara lain sebelum mendapat izin bertulis daripada penerbit. Penerbit tidak bertanggungjawab terhadap kesahihan maklumat yang terkandung dalam laporan ini. Maklumat dalam laporan ini tidak boleh digunakan dalam apa-apa timbang tara, dakwaan dan tindakan undang-undang atau sebagai asas untuk konklusi lain. Laporan ini dibuat tertakluk kepada beberapa andaian dan batasan.

© Valuation and Property Services DepartmentAll rights reserved.

No part of this report may be reproduced, stored in a retrieval system, transmitted in any form or by any means electronic, mechanical, photocopying, recording or otherwise without the prior written permission of the publisher. No responsibility is accepted for the accuracy of information contained in this report. Material published in this report cannot be used in any arbitration, litigation and legal proceedings or as a basis for other conclusions. The report was constructed subject to a set of assumptions and limitations.

Untuk sebarang pertanyaan, sila hubungi :For any enquiries, please contact :

Timbalan Pengarah (Sektor Indeks)Tel : 03-8886 9102Laman Web : http://www.jpph.gov.my

INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE … · INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE...

Documents

Transcript of INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE … · INDEKS HARGA RUMAH MALAYSIA MALAYSIAN HOUSE...