Jan 2014 Mac 2014 Q1 2014 Tables for Th

Indeks Harga Rumah Malaysia pada Q1 2014 meningkat sebanyak 8.0% berbanding Q1 2013.

The Malaysian House Price Index increased by 8.0% in Q1 2014 relative to Q1 2013.

Jadual Perubahan IHRM dan Harga Semua Rumah Tahunan 2000 - 2014 Table

I. IHRM and All House Price Annual Change 2000 - 2014

Index

Change

All House Price

2000=100

Over 12 Months (%)

(RM)

6.0

2000 Q1 - Q4

2001 Q1 - Q4

2002 Q1 - Q4

2003 Q1 - Q4

2004 Q1 - Q4

2005 Q1 - Q4

2006 Q1 - Q4

2007 Q1 - Q4

2008 Q1 - Q4

2009 Q1 - Q4

2010 Q1 - Q4

2011 Q1 - Q4

2012 Q1 - Q4

2013 Q1 - Q4

9.6 275,870 2014 Q1 - Q4 P

Q4

199.1

8.0 276,668 P - Preliminary

Q1

199.7

Pusat Maklumat Harta Tanah Negara (NAPIC) No. Tel.: 03-8886 9000 Jabatan Penilaian dan Perkhidmatan Harta

No. Faks : 03-8886 9007 Kementerian Kewangan Malaysia

Laman Web: www.jpph.gov.my Aras 7, Perbendaharaan 2, No.7, Persiaran Perdana, Presint 2

The Malaysian House Price Index 3

All Houses Price Index

II.

Jadual

Indeks Harga Semua Rumah Mengikut Negeri

Table

All House Price Index by State

A ll House Pr ic e I nd ex (20 0 0 = 10 0)

242.8 24 3.9 Selangor

Kuala Lumpur

127.5 131.5 141.9 147.4 14 6.5 14 6.6 Pulau Pinang

19 4.7 19 4.7 19 9.4 20 6.5 203.0 201.8 Neger i Sembilan

179.1 182.5 M elaka

2 24.1 231.8 242.4 247.7 24 5.7 25 5.6 Kelant an

179.0 18 6.7 18 5.1 18 5.5 197.4 202.7 Per lis

A nnual House Pr ic e I nf lat ion (% Chang e O ver 12 M ont hs)

Kuala Lumpur 17.4 13.6 19.3 19.3 11.7 10.1 Selangor

10.4 7.5 5.0 5.9 10.1 8.7 Johor

24.1 25.7 15.0 11.5 Pulau Pinang

9.9 6.1 9.0 8.1 4. 2 3.6 Neger i Sembilan

7.7 0.7 7.7 9.6 6. 2 8.7 M elaka

8.1 9.9 11.3 11.8 9.6 10.3 Kelant an

12.9 10.3 8.6 Per lis

17.0 0.7 1.5 P - Preliminary

Table III. All House Price by State

Jadual Harga Semua Rumah Mengikut Negeri

Q4 Q1 Q2 Q3 Q4 Q1 P

A ll House Pr ic e (R M) M alaysia

Kuala Lumpur

18 3,810 18 9,6 61 20 4,6 9 6 212,6 4 5 211,3 02 211,3 8 5 Pulau Pinang

149, 240 149, 241 152,821 15 8, 25 5 15 5,5 3 9 15 4,6 3 6 Neger i Sembilan

16 8,9 6 5 172,179 M elaka

179,6 4 5 18 5,78 8 19 4, 28 8 19 8,5 37 19 6,932 20 4,8 5 8 Kelant an

151,3 0 6 157,825 15 6,4 32 15 6,8 0 9 16 6,8 5 3 171,3 6 6 Per lis

% Chang e O ver Previous Q ua r t er M alaysia

Kuala Lumpur

0.9 4.3 3.6 1.0 - 0.4 Johor

7.9 3.9 - 0.6 0.0 Pulau Pinang

2.4 1.8 6.9 4.3 2.7 0.3 Perak

2.0 0.0 2.4 3.6 -1.7 - 0.6 Neger i Sembilan

3.0 2.4 1.1 1.9 M elaka

2.5 - 0.4 - 0.7 Pahang

0.1 7.0 -1.1

4.5 1.7 2.9 -1.4 Terengganu

5.6 -2.7

- 0.8 4.0 Kelant an

3.8 0.5 5. 2 - 0.9 Sabah

11.6 1.9 0.4 2.5 - 4.0 2.7 P - Preliminary

4 Indeks Harga Rumah Malaysia

All House Price Index

Jadual Nisbah Harga Semua Rumah Kuala Lumpur Berbanding Negeri Lain Table

IV. Ratio of Kuala Lumpur All House Price vs Other States

3.1 3.1 3.0 3.0 3.1 3.1 Pulau Pinang

2.0 2.1 2.0 2.0 2.0 2.0 Perak

3.9 3.9 4.0 4.0 4.1 4.2 Negeri Sembilan

1.8 1.8 1.8 1.8 1.9 1.9 P - Preliminary

Jadual Indeks Harga Rumah Teres Mengikut Negeri

Table V. Terraced House Price Index by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Terraced House Price Index (2000 = 100)

Malaysia 176.8 179.6 185.6 192.5 193.7 194.3

Kuala Lumpur 217.4 216.3 220.9 238.4 244.4 245.8 Selangor

178.8 179.6 187.7 195.0 198.3 198.7 Johor

121.9 125.9 136.1 142.1 140.4 139.7 Pulau Pinang

221.8 228.4 236.6 244.4 247.6 252.3 Perak

190.3 192.5 196.2 202.1 196.2 194.2 Negeri Sembilan

Annual Terraced House Price Inflation (% Change Over 12 Months) Malaysia

Kuala Lumpur

3.5 3.8 10.9 10.7 Johor

14.8 18.8 23.3 25.7 15.2 11.0 Pulau Pinang

13.0 8.5 16.2 10.1 11.6 10.4 Perak

8.8 4.5 8.5 7.9 3.1 0.9 Negeri Sembilan

1.5 13.9 9.7 4.5 7.2 -4.1 Pahang

16.8 13.2 11.2 10.2 1.1 2.4 P - Preliminary

The Malaysian House Price Index 5

Terraced House Price Index

Jadual

Harga Rumah Teres Mengikut Negeri Table VI. Terraced House Price by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Terraced House Price (RM)

Kuala Lumpur 585,198 582,270 594,753 641,909 657,930 661,840 Selangor

371,586 373,267 390,124 405,341 412,137 413,159 Johor

185,112 182,840 182,034 Pulau Pinang

329,480 339,279 351,489 363,054 367,801 374,704 Perak

138,781 140,403 143,070 147,377 143,070 141,628 Negeri Sembilan

% Change Over Previous Quarter Malaysia

Kuala Lumpur

7.8 -0.5 2.1 7.9 2.5 0.6 Selangor

0.5 4.5 3.9 1.7 0.2 Johor

8.1 4.4 -1.2 -0.4 Pulau Pinang

0.0 3.0 3.6 3.3 1.3 1.9 Perak

1.9 3.0 -2.9 -1.0 Negeri Sembilan

5.5 -1.9 3.6 3.0 1.0 1.8 Melaka

7.0 8.2 -2.8 0.4 0.6 2.5 Kedah

11.3 -4.0 -0.4 0.8 -0.4 Pahang

5.1 2.6 3.6 -2.0 Terengganu

4.9 -2.9

5.0 4.0 4.4 -2.4 4.4 Kelantan

4.0 -1.2 5.1 -0.5 6.8 -2.1 Sabah

5.1 1.2 -1.9 5.3 1.9 2.0 Sarawak

6.0 -0.8 1.5 3.2 -2.8 0.5 P - Preliminary

Jadual Nisbah Harga Rumah Teres Kuala Lumpur Berbanding Negeri Lain Table

VII.

Ratio of Kuala Lumpur Terraced House Price vs Other States

Q4 Q1 Q2 Q3 Q4 Q1 P

Kuala Lumpur Vs

Selangor

1.6 1.6 1.5 1.6 1.6 1.6 Johor

3.7 3.6 3.4 3.5 3.6 3.6 Pulau Pinang

1.8 1.7 1.7 1.8 1.8 1.8 Perak

4.2 4.2 4.2 4.4 4.6 4.7 Negeri Sembilan

2.4 2.4 2.4 2.5 2.6 2.6 P - Preliminary

6 Indeks Harga Rumah Malaysia

Terraced House Price Index

Jadual Perubahan Indeks Harga Rumah Teres Mengikut Daerah/Wilayah Table

VIII.

Terraced House Price Index : % Change by District/Region

Annual House Price Inflation (% Change)

Negeri Daerah/Kawasan

State District/Region Q4 Q1 Q2 Q3 Q4 Q1 P

Kuala Lumpur KL Centrala 19.5 36.4 33.5 35.0 17.3 13.1 KL Northb

12.0 1.0 5.8 12.8 7.1 16.8 KL Southc

1.8 -4.7 -6.5 -1.1 11.5 9.5 Selangor Petaling

8.0 1.1 -1.6 -1.5 9.0 7.9 Kelang

9.6 12.7 9.3 6.2 12.4 8.5 Gombak

9.3 1.5 8.6 11.4 13.8 17.4 Hulu Langat

17.5 15.3 12.6 16.3 13.9 19.0 Johor Johor Bahru

15.8 21.8 30.1 35.0 18.6 12.8 Batu Pahat

14.9 12.7 11.1 10.2 12.7 9.5 Muar

7.7 14.4 14.9 16.1 9.0 10.0 Keluang

11.5 10.0 8.7 -0.8 0.9 -5.9 Segamat

19.9 17.6 7.1 4.6 7.9 12.8 Pulau Pinang

Pulau Pinang(Island) 11.4 4.8 16.2 5.3 11.6 11.5 Seberang Perai

15.2 13.6 16.2 16.8 11.7 9.0 Perak Kinta/Ipoh

5.7 1.2 7.7 6.8 1.3 -0.8 Manjung

23.7 11.0 9.5 8.8 3.4 5.4 Batang Padang

16.4 14.2 1.0 1.8 0.0 0.8 Hilir Perak

12.7 26.3 23.8 22.7 19.5 5.3 Kuala Kangsar

5.2 -6.0 -3.2 3.4 9.2 10.3 Negeri Sembilan Seremban

11.1 -0.5 9.4 13.1 5.4 10.0 Port Dickson

6.5 6.2 7.1 6.3 4.7 8.5 Tampin & Others

5.6 2.7 10.3 3.5 9.0 9.6 Melaka Melaka Tengah

10.5 21.8 11.0 16.6 9.1 0.3 Alor Gajah-Jasin

14.9 1.9 8.9 -3.1 -6.7 2.2 Kedah Kota Setar

5.2 10.9 7.7 3.0 8.9 2.1 Kuala Muda

-2.0 16.4 12.7 2.2 3.5 -14.0 Kubang Pasu

6.1 5.2 -2.1 9.5 14.9 7.6 Kulim

4.3 13.3 8.6 9.3 11.2 8.9 Pahang Kuantan

4.5 9.8 3.5 4.9 7.2 -0.7 Terengganu Kuala Terengganu

3.5 14.5 7.5 22.7 11.8 3.7 Kemaman

-2.6 2.6 11.9 9.2 11.0 14.7 Kelantan Kota Bharu

9.0 27.0 19.3 12.3 5.9 5.2 Perlis Kangar

2.0 16.9 1.5 7.4 10.3 9.3 Sabah Kota Kinabalu-Penampang 29.4 -2.4 -2.9 5.3 6.8 8.6 Sandakan

15.5 31.0 27.4 25.3 11.5 2.5 Tawau

14.8 9.5 24.3 13.6 4.6 6.8 Sarawak Kuching

21.5 17.2 12.8 11.2 -6.6 1.5 Miri

5.9 17.1 8.6 12.4 11.5 1.3 Sibu

10.1 5.3 8.8 8.0 15.5 4.6 P - Preliminary

a - Section 1 - 100, Mukim Kuala Lumpur & Mukim Ampang b - Mukim Batu, Mukim Setapak, & Mukim Ulu Klang c - Mukim Petaling & Mukim Cheras

The Malaysian House Price Index 7

Terraced House Price Index

IX .

Jadual Harga Rumah Teres Mengikut Daerah/Wilayah

Table

Terraced House Price by District/Region

Negeri Daerah/Kawasan

State District/Region Q4 Q1 Q2 Q3 Q4 Q1 P

Kuala Lumpur KL Centrala 747,870 786,642 791,038 839,762 877,223 889,867 KL Northb

397,688 369,878 382,285 430,969 426,091 431,913 KL Southc

418,342 414,328 429,792 445,290 466,578 453,831 Selangor

Petaling 451,197 459,267 471,304 491,586 491,671 495,668 Kelang

209,402 213,668 231,251 226,218 235,468 231,735 Gombak

260,249 244,286 225,946 273,627 296,281 286,731 Hulu Langat

258,074 251,882 271,367 289,611 294,025 299,730 Johor

Johor Bahru 153,931 159,669 178,970 189,313 182,557 180,118 Batu Pahat

142,169 134,825 131,089 133,000 153,413 152,139 Pulau Pinang

Pulau Pinang(Island)

797,689 810,655 Seberang Perai

Kinta/Ipoh 139,564 140,454 144,438 147,579 141,318 139,282 Manjung

161,904 157,045 155,917 167,180 167,341 165,563 Batang Padang

119,673 123,657 116,182 118,154 119,672 124,674 Hilir Perak

126,737 141,349 144,418 150,320 151,419 148,850 Kuala Kangsar

104,205 107,347 110,252 114,942 113,743 118,432 Negeri Sembilan Seremban

162,218 158,010 162,949 169,384 170,938 173,842 Port Dickson

130,242 128,520 131,585 133,793 136,374 139,438 Tampin & Others

Melaka Tengah 153,661 171,085 164,555 167,504 167,679 171,627 Alor Gajah-Jasin

105,755 99,648 102,474 95,489 98,696 101,826 Kedah

Kota Setar 144,032 150,528 151,365 155,819 156,844 153,722 Kuala Muda

98,326 116,327 106,595 102,252 101,777 100,012 Kubang Pasu

115,562 120,297 125,207 128,789 132,790 129,428 Kulim

117,950 124,736 123,852 127,715 131,112 135,833 Pahang

Kuantan 190,402 178,391 192,247 199,152 208,075 203,911 Temerloh

Kuala Terengganu 176,175 190,182 191,762 196,671 196,884 197,214 Kemaman

126,137 130,369 138,127 145,586 139,985 149,522 Kelantan

Kota Bharu 162,275 173,477 165,925 164,152 171,869 182,448 Perlis

Kangar 104,622 103,365 108,628 108,033 115,379 112,988 Sabah

Kota Kinabalu-Penampang 323,723 325,643 317,349 336,067 345,850 353,665 Sandakan

263,121 297,751 288,479 297,303 293,289 305,093 Tawau

382,540 377,778 375,724 394,713 400,105 403,475 Sarawak

Kuching 272,521 257,856 261,490 264,258 254,516 261,706 Miri

243,431 262,514 258,262 266,323 271,380 266,037 Sibu

P - Preliminary a - Section 1 - 100, Mukim Kuala Lumpur & Mukim Ampang b - Mukim Batu, Mukim Setapak, & Mukim Ulu Klang c - Mukim Petaling & Mukim Cheras

8 Indeks Harga Rumah Malaysia

High-Rise Unit Price Index

X.

Jadual

Indeks Harga Unit Bertingkat Tinggi Mengikut Negeri

Table

High-Rise Unit Price Index by State

Q4 Q1 Q2 Q3 Q4 Q1 P

High-Rise Unit Price Index (2000 = 100)

Malaysia 180.6 185.5 194.4 203.0 205.2 202.3

Kuala Lumpur 188.8 196.2 200.6 207.0 205.7 203.7 Selangor

147.2 154.0 151.5 158.3 154.4 148.5 Johor

131.9 138.8 150.3 162.1 163.3 156.9 Pulau Pinang

203.1 203.5 223.7 235.4 243.4 241.3 Negeri Sembilan

Annual High-Rise Unit Price Inlation (% Change Over 12 Months)

Malaysia 14.4 16.2 14.4 17.0 13.6 9.1

Kuala Lumpur 15.5 12.7 14.5 17.2 8.9 3.8 Selangor

9.1 9.7 4.9 -3.5 Johor

12.9 21.2 15.4 31.4 23.7 13.1 Pulau Pinang

13.6 18.0 16.6 19.5 19.9 18.6 Negeri Sembilan

20.8 5.3 10.3 8.8 -1.2 -4.3 Melaka

20.3 16.0 19.5 8.1 P - Preliminary

XI.

Jadual

Harga Unit Bertingkat Tinggi Mengikut Negeri

Table

High-Rise Unit Price by State

Q4 Q1 Q2 Q3 Q4 Q1 P

High-Rise Price(RM)

Malaysia 227,705 233,834 245,092 255,875 258,633 255,079

Kuala Lumpur 307,983 319,932 327,229 337,567 335,517 332,194 Selangor

194,566 203,444 200,218 209,175 204,049 196,290 Johor

157,189 165,309 179,025 193,101 194,482 186,926 Pulau Pinang

225,192 225,667 248,057 261,005 269,943 267,614 Negeri Sembilan

% Change Over Previous Quarter Malaysia

4.1 2.7 4.8 4.4 1.1 -1.4

Kuala Lumpur 6.9 3.9 2.3 3.2 -0.6 -1.0 Selangor

2.0 4.6 -1.6 4.5 -2.5 -3.8 Johor

6.9 5.2 8.3 7.9 0.7 -3.9 Pulau Pinang

3.1 0.2 9.9 5.2 3.4 -0.9 Negeri Sembilan

3.9 -0.5 Melaka

14.4 2.7 -2.1

8.2 -7.6 6.1 2.7 1.9 -0.8 Sabah

0.2 14.2 -1.3 2.6 3.3 3.3

P - Preliminary

The Malaysian House Price Index 9

Semi-Detached House Price Index

Jadual

XII.

Indeks Harga Rumah Berkembar Mengikut Negeri

Table

Semi-Detached House Price Index by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Semi-Detached House Price Index (2000 = 100)

Malaysia 194.7 194.9 201.8 206.9 205.4 207.7

Kuala Lumpur 279.0 231.1 245.5 256.9 266.2 268.5 Selangor

193.1 197.1 210.5 210.2 204.2 201.6 Johor

152.6 161.3 174.7 177.5 180.4 184.4 Pulau Pinang

146.0 143.0 152.0 157.1 167.0 165.0 Perak

196.9 198.3 206.5 218.7 218.6 225.7 Negeri Sembilan

Annual Semi-Detached House Price Inlation (% Change Over 12 Months)

Malaysia 13.4 12.5 12.2 15.2 5.5 6.6

Kuala Lumpur 19.6 -7.4 17.3 27.5 -4.6 16.2 Selangor

13.8 14.0 5.8 2.3 Johor

16.2 23.1 29.5 30.7 18.2 14.3 Pulau Pinang

17.7 18.1 7.7 17.8 14.4 15.4 Perak

11.0 17.8 13.6 11.3 11.0 13.8 Negeri Sembilan

2.8 -5.0 -3.3 9.2 7.0 7.5 Sabah

24.7 18.4 14.4 19.3 -0.6 1.1 P - Preliminary

XIII.

Jadual Harga Rumah Berkembar Mengikut Negeri

Table

Semi-Detached House Price by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Semi-Detached House Price(RM)

Malaysia 398,623 399,048 413,127 423,517 420,391 425,079

Kuala Lumpur 1,979,077 1,638,858 1,741,196 1,822,024 1,888,298 1,904,621 Selangor

856,779 874,714 933,976 932,908 906,086 894,572 Johor

539,910 570,432 618,088 627,880 638,105 652,203 Pulau Pinang

392,675 384,451 408,635 422,502 449,168 443,767 Perak

256,848 265,184 Negeri Sembilan

% Change Over Previous Quarter Malaysia

8.4 0.1 3.5 2.5 -0.7 1.1

6.2 4.6 3.6 0.9 Selangor

Kuala Lumpur

38.5 -17.2

-2.9 -1.3 Johor

4.7 2.1 6.8 -0.1

12.4 5.7 8.4 1.6 1.6 2.2 Pulau Pinang

9.5 -2.1 6.3 3.4 6.3 -1.2 Perak

0.1 0.7 4.1 5.9 -0.1 3.2 Negeri Sembilan

3.0 0.2 -5.7 5.3 3.1 2.5 Melaka

-2.3 -1.2 4.2 -3.1 -1.6 0.8 Kedah

3.6 0.0 4.3 7.5 -2.0 -1.4 Pahang

13.0 4.8 4.2 1.2 0.6 -1.3 Perlis

3.3 1.8 0.6 3.1 1.3 2.3 Sabah

-2.8 3.1 -0.7 -2.3 5.2 -1.4 Sarawak

2.9 -6.0 4.6 P - Preliminary

12.9 2.8 -0.1

10 Indeks Harga Rumah Malaysia

Detached House Price Index

XIV.

Jadual Indeks Harga Rumah Sesebuah Mengikut Negeri

Table

Detached House Price Index by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Detached House Price Index (2000 = 100)

Malaysia 195.0 205.3 216.3 217.1 220.7 221.7

Kuala Lumpur 228.7 258.2 279.7 267.5 274.7 278.4 Selangor

171.3 173.6 180.5 191.0 194.6 187.6 Johor

150.3 141.9 146.8 147.6 148.7 153.4 Pulau Pinang

107.2 125.2 144.1 156.4 155.7 154.4 Perak

232.2 209.3 217.4 226.9 239.6 232.0 Negeri Sembilan

Annual Detached House Price Inlation (% Change Over 12 Months)

Malaysia 16.7 14.2 17.9 17.9 13.2 8.0

Kuala Lumpur 28.2 24.7 35.6 20.3 20.1 7.9 Selangor

17.6 18.4 5.8 19.1 13.6 8.1 Johor

30.5 27.7 25.9 10.5 -1.0 8.1 Pulau Pinang

17.2 3.5 6.7 4.9 3.2 10.8 Negeri Sembilan

4.0 3.3 10.1 -6.3 -4.8 -1.4 Kedah

7.8 5.6 5.5 -3.5 23.0 28.7 Sabah

-0.5 10.5 13.0 Sarawak

25.3 5.3 -6.9

17.1 12.9 15.9 28.2 3.8 0.2 P - Preliminary

Jadual Harga Rumah Sesebuah Mengikut Negeri Table XV. Detached House Price by State

Q4 Q1 Q2 Q3 Q4 Q1 P

Detached House Price(RM)

Malaysia 421,869 444,018 467,930 469,641 477,396 479,523

Kuala Lumpur 2,721,061 3,071,739 3,328,114 3,182,696 3,269,007 3,312,931 Selangor

569,330 577,083 600,156 634,826 646,851 623,596 Johor

322,774 304,726 315,287 316,992 319,451 329,470 Pulau Pinang

345,938 403,940 464,987 504,684 502,386 498,353 Perak

165,436 160,177 Negeri Sembilan

% Change Over Previous Quarter Malaysia

Kuala Lumpur

2.7 1.3 Selangor

2.9 12.9 8.3 -4.4

6.9 1.4 4.0 5.8 1.9 -3.6 Johor

3.5 0.5 0.8 3.1 Pulau Pinang

12.5 -5.6

3.4 16.8 15.1 8.5 -0.5 -0.8 Perak

7.4 -9.9 3.9 4.4 5.6 -3.2 Negeri Sembilan

-2.4 8.3 9.9 -3.2 -0.5 2.2 Melaka

0.7 2.2 4.0 5.5 -3.8 0.7 Pahang

8.3 3.1 4.5 1.3 1.4 -1.2 Terengganu

1.7 3.2 4.8 -0.3 0.3 6.5 Kelantan

2.0 2.8 23.5 -0.6 Sabah

-3.1 -5.0

10.1 -0.4 4.5 Sarawak

P - Preliminary

The Malaysian House Price Index 11

Indeks Harga Rumah Mengikut Negeri Dan Jenis House Price Index By State and Type

1988 - 2014

12 Indeks Harga Rumah Malaysia

The Malaysian House Price Index 13

The Malaysian House Price Index

Indeks Harga Rumah Malaysia Mengikut Jenis Rumah

The Malaysian House Price Index by House Type

All

Terraced High-Rise Detached Semi- House Detached

1-Yr % Change

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)

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 2010 140.7 6.7 138.3 6.5 131.0 6.2 153.4 7.4 149.1 7.6

Quarterly (2000 = 100)

1999 Q1 93.4 92.7 96.8 92.3 94.5 Q2

101.4 0.7 100.6 -0.2 100.6 0.3 107.0 5.1 102.1 1.7 Q3

102.4 1.0 101.5 -0.5 103.1 3.5 105.8 3.8 103.6 3.4 Q4

101.9 0.3 100.3 -1.2 105.3 4.7 106.9 2.8 104.1 3.0 2002 Q1

97.1 -3.8 105.2 1.5 101.1 -0.4 Q2

103.8 2.4 105.2 4.6 93.8 -6.8 105.0 -1.9 103.9 1.8 Q3

105.6 3.2 105.3 3.8 108.8 5.6 108.6 2.7 104.5 0.9 Q4

107.3 5.3 107.7 7.4 110.1 4.6 106.8 -0.1 105.1 1.0 2003 Q1

114.0 2.6 113.7 3.2 111.2 -2.1 117.7 3.0 118.4 4.2 2005 Q1

115.0 2.0 114.4 2.0 114.3 -0.3 117.8 1.9 118.3 3.4 Q2

118.5 1.4 116.6 1.1 114.4 0.8 130.4 6.8 124.8 -0.5 Q3

125.9 2.9 122.5 2.0 121.0 3.7 141.0 -0.3 134.3 4.4 2008 Q1

129.0 2.5 126.8 3.6 117.5 -2.9 144.9 2.8 135.9 1.2 2009 Q1

129.6 0.7 127.4 0.9 119.6 -1.1 142.7 0.2 138.0 2.0 Q2

132.2 2.6 129.2 3.0 123.9 2.4 149.4 2.2 140.3 1.8 Q3

133.3 1.5 131.2 1.8 124.1 -0.8 147.4 0.7 140.0 2.0 Q4

136.1 5.6 133.1 5.0 132.0 12.4 151.5 4.6 142.3 4.8 2010 Q1

136.9 5.7 133.6 4.9 129.6 8.4 150.7 5.7 147.2 6.7 Q2

140.3 6.2 138.3 7.1 132.8 7.2 148.9 -0.4 148.0 5.5 Q3

198.0 12.2 192.5 9.9 203.0 17.0 217.1 17.9 206.9 15.2 Q4 P

Q1 199.7 8.0 194.3 8.2 202.3 9.1 221.7 8.0 207.7 6.6

14 Indeks Harga Rumah Malaysia

18 Indeks Harga Rumah Malaysia

22 Indeks Harga Rumah Malaysia

28 Indeks Harga Rumah Malaysia

38 Indeks Harga Rumah Malaysia

44 Indeks Harga Rumah Malaysia

The Malaysian House Price Index 51

The Malaysian House Price Index National Property Information Centre (NAPIC)

Explanatory Notes

Valuation and Property Services Department

Ministry of Finance Malaysia

INTRODUCTION Table 1 Number of House Price Index Series

From Q1 – Q4 2003 report, the Malaysian House Price Index Quarterly Annual (IHRM) has been revised and the revision begins with the first

District/Regional House Price Index

quarter 2000 data. NAPIC has:

Terraced House

Updated the base year to 2000;

High-Rise Unit

Computed the index on a quarterly basis and published two

3 3 months after the end of every half year;

Semi-Detached House

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

State Level House Price Index

Terraced House

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

7 7 Revised the geographical stratification whereby a district/

High-Rise Unit

Detached House

mukim is further subdivided into housing neighbourhoods

14 14 which are clusters of housing schemes/area of similar neighbourhood characteristics;

Semi-Detached House

All House

Revised and added house characteristics;

National Level

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

1 1 observations;

Terraced House

High-Rise Unit Price

1 1 indices for terraced houses, high-rise units and all houses

Used weighted average procedure to derive the overall

Detached House

1 1 at the state and national levels; and

Semi-Detached House

All House

Calculated the price index based on the Lapspeyres weighted formula

TOTAL

However, the key concepts that have dictated the construction of house price indices introduced in 1997 remained unchanged in the revised IHRM 2000. A full explanation of the construction of the 1997 house price index is given in the “Malaysian House Price Index: A Technical Summary”.

NEW BASE YEAR

117 series of quarterly and 117 series of annual house price The price index base is “rebased” so that each index equals indices are derived for 40 districts/regions and 14 states

100.0 in 2000. The objective is to reflect changes in buyers respectively. House price index series for Malaysia and 14

preference and emergence of new trends in the market place States and Territories are computed as weighted averages of

since 1990. The sampling frame (location, house type and the district/regional and state results. These series are shown

size) has therefore been reviewed according to the pattern of in Table1.

all houses sold in 2000.

CONCEPTS

DATA

The key concepts that have continued to form the basis of the The Valuation Information System (VIS) of the Valuation revised IHRM 2000 are as follows:

and Property Services Department and the Memorandum of • Transfers of Land and Survey Department, Sarawak remain

It is a transaction based house price index. as the main sources of data for the index computation. They •

It measures of the change in prices paid for an “average” provide sales data of housing properties that people buy and house.

sell in the 14 states and Federal Territories throughout the country everyday. The samples collected from these sources are

• Price change is estimated by pricing a basket of house therefore reasonably representative of houses sold in Malaysia. characteristics of the “average” house transacted in the

On an average, the size of data is about 20,000 observations current period and comparing this price with the price of the

per quarter. They contain information on the location, physical same basket of house characteristics in the base year (2000).

and legal characteristics of various types of houses sold. 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

GEOGRAPHIC STRATIFICATION

of living in the latter period. •

The hedonic methodology is used as the basic approach to As part of the IHRM revision, NAPIC has identified 40 index price measurement of an “average” house whereby houses

areas at district/regional level and 14 at state level. For example, are not priced for themselves as such but for the set of fixed

Daerah Seremban is an index area at district/regional level characteristics which embodied in the assets. The fixed set

while Perlis is an index area at state level. In most of the of house characteristics, comprising mainly location, physical

states, the index areas covered coincide with the standard and legal characteristics is a set of housing variables that

have been statistically proven to be significant in determining boundaries of states or districts/a combination of districts the prices of the “average” house. The “average” house

used for administrative purposes. In Kuala Lumpur, an index is constructed by a statistical method based on house

area is identified by mukim/section boundaries but the index transactions selected according to the sampling frame that

areas in Sabah and Sarawak are distinguished by Division were estimated from the population of housing transactions

boundaries.

in the base year (2000).

52 Indeks Harga Rumah Malaysia

Table 2 House Type Stratiication

ALL HOUSES

Terraced

High Rise Detached Semi-Detached

1 - 1 1/2 Storey

2-3 Storey

Low Me- dium

High

1 - 1½ Storey

2-3 Storey

1 - 1½ Storey

2-3 Storey

Low

Me- dium

High

Low

Me- dium

High

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

land area, loor area, age, etc.

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)

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:

• 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 STRATIFICATION

The 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.

j=1

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 2000. For example in the year 2000, there were 315, 4,445, 895 and 910 units of two-storey terraced houses recorded for the 4 housing neighbourhoods in Daerah Petaling respectively. 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 82 separate price models constructed for 82 house category-index areas. There are 42 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 82 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 82 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 (2000). 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 (∑B j (t) Q j (2000)

L t = x 100

exp (∑B j (2000) Q j (2000)

Where “exp” symbolises ‘exponent’

B j (t) = the hedonic model regression coefficient

of current period

B j (2000) = the hedonic model regression coefficient

of the base year 2000

Q j (2000) = the characteristic averages for houses sold

in 2000

The denominator represents the actual house price of the “average’ house sold in 2000. The numerator is the current period house price of the “average” house sold in 2000.

j=1

The Malaysian House Price Index 53 For each of the 82 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 (x 1 ,x 2 …x n ) as independent variables

as follows:

lnP it =B 0 (t) + B 1 (t) x 1it +B 2 (t) x 2it + ……+B m (t) x mit +e it

Where, lnP it

natural logarithm of sale price for the it house

sold during time t

B 1 (t) , B 2 (t), …B m (t) = the coefficient for the numerical and quality

variable m for period t

x 1it … x mit =

the observed value of the quantitative values or

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

B 0 (t) =

the constant term in the regression

the random error which is unexplained by the equation

The regression coefficients B 1 (t), B 2 (t), …B m (t) are logarithms

of implicit proportionality factors. The antilog(B i ) 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(B i ) 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-neighbourhood. 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 82 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 (2000).

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 82 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 82 component indices is the calendar year. Using the same approach as the quarterly price index, the 82 annual indices are aggregated to produce the state, national and Malaysian house price indices.

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

82 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 missing 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

54 Indeks Harga Rumah Malaysia

The Malaysian House Price Index 55

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

(I) PHYSICAL & ENVIRONMENTAL • 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 Center • Proximity to Regional Shopping Center • 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 Neighbourhood in the Surrounding • Type of Land Use in the Surrounding

(III) ECONOMIC FACTOR • Household Income

• Level of Occupancy • Frequency of Property Turnover/ Transaction

56 Indeks Harga Rumah Malaysia

Appendix A- 2

Number of House Price Index Models

Table 1 Number Of Models by State and House Types

Detached Total

District/ State

Kuala Lumpur......................

4 0 2 0 0 1 0 1 8 Johor....................................

5 0 0 1 0 1 0 1 8 Pulau Pinang.......................

2 0 2 0 0 1 0 1 6 Perak...................................

5 0 0 0 0 1 0 1 7 Negeri Sembilan..................

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

Name of District/ Region

Kuala Lumpur

Kuala Lumpur Central,

Kuala Lumpur Central,

Kuala Lumpur North,

Kuala Lumpur North,

Kuala Lumpur South

Kuala Lumpur South

Selangor

Petaling, Kelang, Gombak,

Petaling, Hulu Langat

Hulu Langat

- Johor

Johor Bahru-Kota Tinggi-

Johor Bahru-Kota Tinggi-

Pontian, Batu Pahat, Muar,

Pontian

Keluang, Segamat

Pulau Pinang

Penang Island,

Penang Island,

Seberang Perai

Seberang Perai

Perak

Kinta, Manjung, Batang

Padang, Hilir Perak, Kuala Kangsar

- Negeri Sembilan

Seremban, Port Dickson, Tampin & Others

Melaka

Melaka Tengah

Alor Gajah-Jasin

Kedah

Kota Setar, Kuala Muda,

Kota Setar, Kuala Muda,

Kulim - Pahang

Kubang Pasu, Kulim

Kuantan, Temerloh, Bentong,

Jerantut-Lipis-Raub

- Terengganu

Kuala Terengganu, Kemaman

- Sabah

Kota Kinabalu, Sandakan,

Tawau

- Sarawak

Kuching, Miri, Sibu

The Malaysian House Price Index 57

Appendix A- 3

Weights Used In Calculating The Malaysian House Price Index

Table 1. WEIGHTS USED IN CALCULATING THE MALAYSIAN ALL HOUSES INDEX (%)

State

Terraced High-Rise Detached Semi- Total Detached

Kuala Lumpur

2.7 2.4 0.3 0.2 5.5 Selangor

14.9 2.5 0.7 0.9 18.9 Johor

12.9 0.5 0.5 0.8 14.7 Pulau Pinang

3.6 4.8 0.3 0.8 9.3 Perak

11.1 0.0 1.3 1.3 13.6 Negeri Sembilan

Table 2. WEIGHTS USED IN CALCULATING THE ALL HOUSES INDEX BY STATE (%) State

Terraced High-Rise Detached Semi- Total Detached

49.3 42.6 5.0 3.1 100.0 Selangor

Kuala Lumpur

79.1 12.9 3.5 4.5 100.0 Johor

88.0 3.5 3.3 5.2 100.0 Pulau Pinang

38.0 50.7 2.9 8.4 100.0 Perak

81.6 0.0 9.3 9.1 100.0 Negeri Sembilan 83.0 2.8 5.5 8.7 100.0 Melaka

86.4 6.4 2.0 5.2 100.0 Kedah

76.5 0.0 2.1 21.4 100.0 Pahang

74.4 0.0 13.3 12.3 100.0 Terengganu

62.8 0.0 20.9 16.3 100.0 Kelantan

50.5 0.0 29.5 20.0 100.0 Perlis

85.3 0.0 0.0 14.7 100.0 Sabah

53.5 14.0 10.1 22.4 100.0 Sarawak

49.2 0.0 11.1 39.7 100.0

The Malaysian House Price Index 61

Cawangan NAPIC Di Seluruh Negara/NAPIC Branch Ofices

NAPIC IBU PEJABAT

Pusat Maklumat Harta Tanah Negara Aras 7, Perbendaharaan 2 No.7, Persiaran Perdana, Presint 2 62592 PURTAJAYA No. Tel: 03-88869000 No. Faks: 03- 88869007 E-mel: napic@jpph.gov.my

WILAYAH PERSEKUTUAN

Pusat Maklumat Harta Tanah Negara Wilayah Persekutuan Kuala Lumpur Tingkat 2, 1 Sentral KL Sentral, Jalan Traves 50490 KUALA LUMPUR No. Tel:03-22721760 No.Faks:03-22721796

SELANGOR

Pusat Maklumat Harta Tanah Negara Negeri Selangor Tingkat 8, Plaza Perangsang Persiaran Perbandaran 40000 SHAH ALAM No.Tel:03- 55133612/03-55194823 No. Faks: 03 -55119907

JOHOR

Pusat Maklumat Harta Tanah Negara Negeri Johor Bangunan JARO No. 18, Jalan Sungai Chat 80100 Johor Bahru, Johor No. Tel:07 – 2241707 / 2239933 No. Faks:07 – 2234266

PULAU PINANG

Pusat Maklumat Harta Tanah Negara Pulau Pinang Tingkat 41, Bangunan KOMTAR 10593 PULAU PINANG No. Tel:04-2644914

PERAK

Pusat Maklumat Harta Tanah Negara Negeri Perak Tingkat 6, 7A & 8, Bangunan Sri Kinta Jalan Sultan Idris Shah 30593 IPOH No. Tel:05-2434258 No. Faks:05-2429537

NEGERI SEMBILAN

Pusat Maklumat Harta Tanah Negara Negeri Sembilan Tingkat 9, Bangunan Yayasan Negeri Jalan Yam Tuan 70000 SEREMBAN No. Tel:06 - 763 8602 No. Faks:06 - 763 9306

MELAKA

Pusat Maklumat Harta Tanah Negara Negeri Melaka Aras 7, Wisma Persekutuan Jalan MITC, Hang Tuah Jaya 75450 AYER KEROH No. Tel:06-2328205 No. Faks:06 - 232 8202

KEDAH

Pusat Maklumat Harta Tanah Negara Negeri Kedah Aras 2, Zon C ,Wisma Persekutuan Pusat Pentadbiran Kerajaan Persekutuan Bandar Muadzam Shah, Anak Bukit 06550 ALOR SETAR No. Tel:04 – 7001912 No. Faks:04-7001903

PAHANG

Pusat Maklumat Harta Tanah Negara Negeri Pahang Tingkat 2, Bangunan KWSP Bandar Indera Mahkota 25200 KUANTAN No. Tel:09 - 5715 111 No. Faks:09-5724782

TERENGGANU

Pusat Maklumat Harta Tanah Negara Negeri Terengganu Tingkat 9, Wisma Persekutuan Jalan Sultan Ismail 20200 KUALA TERENGGANU No. Tel:09-6204550 No. Faks:09-6204551

KELANTAN

Pusat Maklumat Harta Tanah Negara Negeri Kelantan Tingkat 4, Wisma Persekutuan Jalan Bayam 15592 KOTA BAHRU No. Tel:09-7471763 No. Faks:09-7474975

PERLIS

Pusat Maklumat Harta Tanah Negara Negeri Perlis Tingkat Dua, Bgn. Persekutuan Persiaran Jubli Emas 01000 KANGAR No. Tel:04-9782763 No. Faks:04-9772595

SABAH

Pusat Maklumat Harta Tanah Negara Negeri Sabah Tingkat 4, Blok B, Kompleks KUWASA Jalan Karamunsing Beg Berkunci 2043 88999 KOTA KINABALU No. Tel:088 – 248325 No. Faks:088-248328

SARAWAK

Pusat Maklumat Harta Tanah Negara Negeri Sarawak Tingkat 3, Wisma Hong No. 202, Batu 2 ¾, Jalan Rock 93200 KUCHING No. Tel:082 – 255859 / 234051 No. Faks:082-234575

© Jabatan Penilaian dan Perkhidmatan Harta Hak 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 Department

All 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 9102 Laman Web : http://www.jpph.gov.my