MAIPARK, Statistik, 06/2016
Kata Pengantar Foreword
Dengan Hormat,
Dear Sir / Madam,
Dengan mengucap Puji Syukur Kehadirat Tuhan Yang Maha Esa, buku “Laporan Statistik Asuransi Gempa Bumi Indonesia (LSAGBI) Desember 2015” telah selesai disusun. Penyusunan LSAGBI ini selaras dengan salah satu Visi MAIPARK yaitu menjadi “Center Of Excellence” dan sebagai upaya dalam memberikan pelayanan yang terbaik bagi Industri Asuransi Umum di Indonesia khususnya mengenai statistik serta pengetahuan risiko gempa bumi.
Our gratitude to God Almighty, the “Indonesian Earthquake Insurance Statistic Report as at December 2015” is ready to publish. This report publication is aligned with MAIPARK’s vision, which is to be a "Center of Excellence” and also to provide the best service for the General Insurance Industry in Indonesia, especially statistic and earthquake risks knowledge.
Sebagai salah satu publikasi rutin, LSAGBI ini memuat hasil kajian risiko-risiko gempa bumi terkait data exposure, premi nasional, jumlah risiko dan perkembangan risiko gempa bumi. Di dalam laporan ini kami juga menyajikan ulasan aktuaria dan risiko exposure dari sudut pandang asuransi gempa bumi
As a regular publication, it contains earthquake risks study related to the national Exposure, premium, number of risks and development of the earthquake risks management. We also include actuarial and Exposure risks reviews from earthquake insurance point of view.
Dukungan dari seluruh perusahaan asuransi umum sangat berarti bagi kami dalam upaya pengembangan laporan statistik ini. Kami menyadari kebutuhan penyempurnaan buku ini sangat tinggi sehingga kritik maupun saran sangat kami harapkan.
Support from the General Insurance Industry will be meaningful to us in order to improve this Statistic Report. We realize the need for improvement of this report is very high so that critics and suggestions are appreciate.
Akhir kata, semoga laporan ini dapat menjadi referensi yang berkualitas dan dapat memberikan manfaat tidak hanya bagi perusahaan yang menangani asuransi gempa bumi, namun juga bagi Industri Asuransi Umum di Indonesia. Kami mohon maaf apabila masih ditemukan kesalahan data dan informasi yang disajikan dalam buku ini.
Finally, we hope that this report could be used as a qualified reference and will be beneficial for all general insurance industries in Indonesia. We apologize for any possible data and information errorspresented in this report.
Hormat Kami,
Sincerely,
Yasril Y. Rasyid President Director
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
DAFTAR ISI CONTENTS Hal.
Page
Kata pengantar…………………………...……i
Content……..……………………………………….i
Daftar Isi……………………………………….iii
Foreword…………………………………………..iii
Iktisar Statistik Asuransi Gempa Bumi Indonesia Juni 2016
Statistic Overview of Indonesian Earthquake Insurance June 2016
A. B. C. D. E. F.
A. B. C. D. E. F.
Umum………………………………………1 Struktur Pasar …………………………….2 Premi Bruto dan Exposure ……………….2 Jumlah Risiko ……………………………..3 Incurred Claim ………………………….....6 Ulasan Aktuaria: Pengaruh Deductible pada Distribusi Frekuensi Klaim dan Besar Klaim……………………………………...13 G. Ulasan Asuransi: Gempabumi yang mengubah..……………………………....22
General ………………………………………...1 Market Structure ………………………………2 Gross Premium and Exposure ………………2 Number of Risk ………………………………..3 Incurred Claim …………………………………6 Actuary Commentary: The Effect of Deductibles on Claims Frequency and Claims Severity Distributions……………………......13 G. Insurance Commentary: Earthquake that Change…………………..……………………22 Map
Peta
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2016, per 30 Juni 2016 ……………………………………...27
Indonesian Earthquake Exposure Distribution by Province, Underwriting Year 2016, as at 30 June 2016 ……………………………………………….27
Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2016 …………………………28
Indonesian Earthquake Distribution M > 5 and Claim Incurred 2016 ……………………………...28
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2015, per 30 Juni 2016, Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred UY 2016…………………………………………....29
Indonesian Earthquake Exposure Distribution by Province, Underwriting Year 2016, per 30 June 2016, Indonesian Earthquake Distribution M > 5 and Claim Incurred UY 2016 …………………………………………………...…29
Indonesian Earthquake Insurance Exposure
Exposure Asuransi Gempa Bumi Indonesia
Tabel 2.1. Exposure Per Cresta Zone ……..30 Tabel 2.2. Exposure Per Okupasi………......32 Tabel 2.3. Exposure Per Interest………........34 Tabel 2.4. Exposure Per Provinsi……………36 Tabel 2.5. Exposure Per Kelas Konstruksi...37
Table 2.1. Exposure By Cresta Zone ............... 30 Table 2.2. Exposure By Occupation ................. 32 Table 2.3. Exposure By Interest ....................... 34 Table 2.4. Exposure By Province………….........36 Table 2.5. Exposure By Class of Construction..37
iii
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Indonesian Earthquake Insurance Gross premium
Premi Bruto Asuransi Gempa Bumi Indonesia
Tabel 3.1. Premi Bruto Per Cresta Zone…….39 Tabel 3.2. Premi Bruto Per Okupasi…………41 Tabel 3.3. Premi Bruto Per Interest……….....43 Tabel 3.4. Premi Bruto Per Provinsi…………………….........................…45 Tabel 3.5. Premi Bruto Per Kelas Konstruksi .................................................................... 46
Table 3.1. Gross Premium by Cresta Zone……39 Table 3.2. Gross Premium by Occupation.........41 Table 3.3. Gross Premium by Interest...............43 Table 3.4. Gross Premium by Province……..…45 Table 3.5. Gross Premium by Class of Construction………………………………………46
Indonesian Earthquake Insurance Number of Risk
Jumlah Risiko Asuransi Gempa Bumi Indonesia
Tabel 4.1. Jumlah Risiko Per Cresta Zone .. 48 Tabel 4.2. Jumlah Risiko Per Okupasi ......... 50 Table 4.3. Jumlah Risiko Per Kelas Konstruksi .................................................................... 52 Table 4.4. Jumlah Risiko Per Provinsi......…54
Table 4.1. Number of Risk By Cresta Zone ..... 48 Table 4.2. Number of Risk By Occupation ...... 50 Table 4.3. Number of Risk By Construction Class ………………………………………….................52 Table 4.4. Number of Risk By Province ......….54
Klaim Asuransi Gempa Bumi Indonesia
Indonesian Earthquake Insurance Claim
Tabel 5.1. Frekuensi Klaim Per Cresta Zone.55 Tabel 5.2. Frekuensi Klaim Per Okupasi……57 Tabel 5.3. Frekuensi Klaim Per Provinsi……59 Tabel 5.4. Klaim Per Cresta Zone……………60 Tabel 5.5. Klaim Per Okupasi………………..62 Tabel 5.6. Klaim Per Provinsi………………..64
Table 5.1. Claim Frequency By Cresta Zone…..55 Table 5.2. Claim Frequency By Occupation……57 Table 5.3. Claim Frequency By Province………59 Table 5.4. Claim By Cresta Zone……………….60 Table 5.5. Claim By Occupation………………...62 Table 5.6. Claim By Province…………………..64 Risk and Claim Profile
Profil Risiko dan Klaim
Underwriting Year 2012 - 2016, Seluruh Okupasi ……………………………………….65 Underwriting Year 2016, Seluruh Okupasi …66 Underwriting Year 2015, Seluruh Okupasi …67 Underwriting Year 2014, Seluruh Okupasi …68 Underwriting Year 2013, Seluruh Okupasi …69 Underwriting Year 2012, Seluruh Okupasi …70
Underwriting Year 2012 - 2016, All Occupation………………………………………..65 Underwriting Year 2016, All Occupation ……….66 Underwriting Year 2015, All Occupation ……….67 Underwriting Year 2014, All Occupation ……….68 Underwriting Year 2013, All Occupation ………69 Underwriting Year 2012, All Occupation ……….70
iv
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2016
Risk and Profile Claim Underwriting Year 2016 By Occupation
Okupasi Agrikultural………………………….71 Okupasi Komersial …………………………..72 Okupasi Industrial ……………………………73 Okupasi Residensial …………………………74
Occupation Agricultural………………………….71 Occupation Commercial ………………………...72 Occupation Industrial ……………………………73 Occupation Residential ………………………….74
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2015
Risk and Profile Claim Underwriting Year 2015 By Occupation
Okupasi Agrikultural………………………….75 Okupasi Komersial …………………………..76 Okupasi Industrial ……………………………77 Okupasi Residensial …………………………78
Occupation Agricultural ………………………….75 Occupation Commercial ………………………...76 Occupation Industrial ……………………………77 Occupation Residential ………………………….78
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2014
Risk and Profile Claim Underwriting Year 2014 By Occupation
Okupasi Agrikultural………………………….79 Okupasi Komersial …………………………..80 Okupasi Industrial ……………………………81 Okupasi Residensial …………………………82
Occupation Agricultural ………………………….79 Occupation Commercial ………………………...80 Occupation Industrial ……………………………81 Occupation Residential ………………………….82
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2013
Risk and Profile Claim Underwriting Year 2013 By Occupation
Okupasi Agrikultural………………………….83 Okupasi Komersial …………………………..84 Okupasi Industrial ……………………………85 Okupasi Residensial ……………….………..86
Occupation Agricultural ………………………….83 Occupation Commercial ………………………...84 Occupation Industrial ……………………………85 Occupation Residential …………………………86
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2012
Risk and Profile Claim Underwriting Year 2012 By Occupation
Okupasi Agrikultural………………………….87 Okupasi Komersial………………………......88 Okupasi Industrial…………………………….89 Okupasi Residensial..…………………….....90
Occupation Agricultural ………………………….87 Occupation Commercial ………………………...88 Occupation Industrial ……………………………89 Occupation Residential ………………………….90
v
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Cresta Zone
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Cresta Zone
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2016……………………………………………91 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2015……………………………………………92 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2014……………………………………………93 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2013……………………………………………94 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2012……………………………………………95
Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2016………………………………………………..91 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2015……………………………………………......92 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2014…………………………………………….....93 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2013……………………………………………….94 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2012……………………………………………….95
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Okupasi
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Occupation
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2016……………………………………………96 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2015……………………………………………97 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2014……………………………………………98 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2013……………………………………………99 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2012…………………………………………..100
Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2016……………………………………………….96 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2015……………………………………………….97 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2014……………………………………………….98 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2013……………………………………………….99 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2012………………………………………………100
vi
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Provinsi
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Province
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2016…….. 101 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2015……...102 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2014……...103 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2016……………………………………………..101 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2015………...102 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2014………...103 Exposure, Premi Bruto, Jumlah Risiko & Klaim
2013……………………………………………104
per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim
2013……………………………………………..104
per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim
2012……………………………………………105
per Provinsi, Underwriting Year 2012……………………………………………..105
Lampiran 1. Daftar Istilah…….………………………………106 2.Tarif asuransi Gempa Bumi Indonesia …….……….……….............................................108 3. Zona Asuransi Gempa Bumi Indonesia………112 4. Cresta Zone Indonesia…………………………122 5. Skala First Loss…………………………………129 6. Tabel Short Periode kurang dari 1 tahun…..………………………..…………………..130 7. Skala Indemnity Period………………………...131
Attachment 1.Glossaries……………………………………..…..106 2. Indonesian Earthquake Insurance Tariff…………………………………………………..108 3. Cresta Zone and Zone Table……………………112 4. Indonesia Cresta Zone ………………………….122 5. First Loss Scale …..………………………………129 6. Short Period Table Less Than One Year Period…………………………………………………130 7. Indemnity Period Scale………………………..…131
Referensi 1. Otoritas Jasa Keuangan (OJK). 2. Badan Pusat Statistik (BPS).
Reference 1. Financial Service Authority (OJK). 2. Central of Statistic Bureau (BPS).
*) Laporan Statistik ini dapat diperoleh di website PT Reasuransi MAIPARK Indonesia www.maipark.com
*) Statistic report is available on PT Reasuransi MAIPARK Indonesia website www.maipark.com
vii
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Ikhtisar Statistik Asuransi Gempa Bumi Indonesia Juni 2016 Statistic Overview of Indonesia Earthquake Insurance June 2016
A. Umum
A. General
Produk Domestik Bruto atas dasar Harga Berlaku dan Harga Konstan 2010 - Kuartal II 2016 Gross Domestic Product by Current Price and Constant Price 2010 - second quarter 2016 Harga Berlaku (Current price) Triw ulan I-2016 / Quarter 1- 2016 Produk Dom estik Bruto (Gross Dom estic Product)
Triw ulan II-2016 / Quarter 2 - 2016
2,942.00
Harga Konstan 2010/ Constant price 2010 Triw ulan I-2016 / Quarter 1 - 2016
3,086.60
Triw ulan II-2016 / Quarter 2 - 2016
2,262.30
2,353.20
dalam triliun rupiah in trillion rupiah
Berdasarkan data Badan Pusat Statistik,
Based on Central of Statistics Bureau data,
pertumbuhan ekonomi Indonesia berdasarkan
Indonesia economic growth by Gross Domestic
Produk Domestik Bruto (Harga Berlaku) triwulan
Bruto (Current Price) second quarter compare
II terhadap triwulan sebelumnya naik sebesar
to
4,02% (Rp2.942,00 triliun menjadi Rp.3.086,60
(IDR2,942.00 trillion to IDR.3,086.60 trillion)
previous
quarter
increased
4.02%
triliun). Premi dan Klaim Bruto Kelas Bisnis Harta Benda - Kuartal II 2016 Gross Premium and Claim Property class of business - Second Quarter 2016 Kelas Bisnis Class of Business Harta Benda
Premi Bruto Triwulan I-2015
Klaim Bruto
Triwulan I-2016
7,942.93
Triwulan I-2015 Triwulan I-2016
8,704.58
3,431.57
3,400.25
dalam miliar rupiah in billion rupiah
Dari sisi Industri Asuransi Umum, menurut
From the General Insurance Industry, based on
Asosiasi Asuransi Umum Indonesia, dapat
General Insurance Indonesia Assosiation, can
dilihat bahwa Premi Bruto untuk kelas bisnis
be seen that Gross Premium for property class
harta benda (triwulan II tahun 2015 ke triwulan II
of business (second quarter 2015 compare to
2016) mengalami kenaikan sebesar 9,6%
second
(Rp.7.942,93 miliar menjadi Rp.8.704,58 miliar)
(IDR.7,942.93 billion to IDR.8,704.58 billion)
1
quarter
2016)
increase
9.6%
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
dan Klaim Bruto turun -0,9% (Rp.3.431,57 miliar
and Gross Claim decrease -0.9% (IDR.
menjadi Rp.3.400,25 miliar ).
3.431,57 billion to IDR.3,400.25 billion).
B. Struktur Pasar
B. Market Structure Struktur Pasar Industri Asuransi Umum Indonesia Mark et Structure of the Indonesia General Insurance Industry Kategori
Jumlah
Perusahaan Asuransi Umum
76
Perusahaan Reasuransi
6
Asuransi Sosial
2
Perusahaan Asuransi Wajib
3
Sumber: buku Direktori 2015: Industri Keuangan Non Bank
. Source: buku Directory 2015: Non Bank Financial Institution
C. Premi Bruto
C. Gross Premium
Tabel 1.1 menyajikan rincian premi bruto
The table 1.1 shows the details of gross
berdasarkan jenis okupasi dari Underwriting
premium
Year 2012 hingga Underwriting Year 2016.
Underwriting Year 2011 to Underwriting Year
Berdasarkan data tersebut dapat kita lihat
based
on
occupation
from
2015.
bahwa untuk Okupasi Industrial dan Residensial
We could see based to Industrial and
pada Underwriting Year 2012-2014 mengalami
Residential Occupation data have increase
trend kenaikan, namun dua okupasi lainnya
trend, but other two occupation in Underwriting
menurun di Underwriting Year 2014. Penurunan
Year 2012-2014 have decrease in Underwriting
pada Okupasi Agrikultural ini diakibatkan adanya
Year 2014. The decrease in Agriculture
penurunan penutupan di Provinsi Jawa Barat
Occupation because of decrease cover in East
khususnya di Kab. Karawang. Selain itu
Java Province especially City of Karawang. The
penurunan
adanya
decrease also caused by decreasing cover in
penurunan penutupan di Provinsi Bali dan Jawa
Bali Province and East Java i.e. Karangasem
Barat, masing-masing adalah Kab. Karangasem
and Bandung District respectively.
ini
juga
disebabkan
dan Kab. Bandung.
2
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Tabel 1.1 Premi Bruto dan Rasio Berdasarkan Okupasi per 30 Juni 2016 Table 1.1 Gross Premium and Ratio By Occupation as at 30 June 2016 Dalam Jutaan Rupiah In Million Rupiah
Okupasi / Occupation
Underwriting Year
Total Agrikultural / Agricultural
Komersial / Commercial
Industri / Industrial
Residensial / Residential
2012
29,419.23
1.08%
658,376.86
24.19%
1,686,073.03
61.96%
347,532.51
12.77%
2,721,401.64
2013
35,250.82
0.78%
1,811,968.36
40.00%
2,207,809.14
48.74%
474,567.62
10.48%
4,529,595.94
2014
29,149.82
0.59%
1,118,227.46
22.45%
3,219,326.81
64.62%
615,373.36
12.35%
4,982,077.45
2015
29,683.73
0.57%
1,795,033.57
34.61%
2,816,715.07
54.31%
544,821.43
10.51%
5,186,253.80
2016
5,495.44
0.59%
242,709.63
26.23%
541,797.01
58.56%
135,233.24
14.62%
T OT AL
128,999.03
5,626,315.88
10,471,721.06
D. Jumlah Risiko
2,117,528.17
925,235.32 18,344,564.15
D. Number of Risk
Dari Tabel 1.2 dapat kita peroleh informasi
From Table 1.2 we can find information that
bahwa jumlah risiko Okupasi Komersial terbesar
the biggest number of risks for Commercial
ada di Underwriting Year 2014 yaitu 124.558.
Occupation was in Underwriting Year 2014 i.e
Sedangkan jumlah risiko Okupasi Komersial di
124,558. While number of risks for Commercial
Underwriting Year 2016 adalah 25.085 atau
Occupation in Underwriting Year 2016 was
sebesar 20,14% atau seperlima dari jumlah
25,085 i.e. 20.14% or fifth of the number of risks
risiko Okupasi Komersial di Underwriting Year
Commercial Occupancy in Underwriting Year
2014. Jika pola pensesian dan proses validasi
2014. If the cession and bordereoux validation
bordero tidak berubah, maka jumlah risiko
processing pattern unchanged, then number of
Okupasi Komersial di Underwriting Year 2016
risks for the Commercial Occupation in
masih akan meningkat.
Underwriting Year 2016 still increased.
Jumlah Risiko pada Okupasi Agrikultural di
Number of risks in Agriculture Occupation
Underwriting Year 2015 dibandingkan dengan
in Underwriting Year 2015 compared to
Underwriting
mencapai
Underwriting Year 2015 reached 51.79% (390
51.79%(390 dibanding 753), berbeda dengan 3
compare to 753), different to other three
okupasi lainnya yang rata-rata diatas 90%. Hal
occupation that average above 90%. This is
ini diakibatkan karena adanya penurunan jumlah
because of the decrease number of risks cover
risiko penutupan sebagian besar di Provinsi
mostly in North Sumatra and East Kalimantan
Sumatera
Timur.
Province. Relatively significant decrease was in
Penurunan yang relative signifikan terjadi di
North Sumatra Province i.e. Simalungun,
Provinsi Sumatera Utara adalah di Kab.
Tapanuli Selatan dan Asahan District. While in
Year
Utara
2014
dan
baru
Kalimantan
Simalungun, Kab. Tapanuli Selatan dan Kab.
3
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Asahan. Sedangkan di Provinsi Kalimantan
East Kalimantan, relatively significant decrease
Timur, penurunan jumlah risiko penutupan yang
in number of risks cover was in Balikpapan city.
relative signifikan ada di Kota Balikpapan. Tabel 1.2 Jumlah Risiko Berdasarkan Okupasi per 30 Juni 2016 Table 1.2 Number of Risk By Occupation as at 30 June 2016 Okupasi
U/Y 2012
Occupation
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Jumlah / Total
%
Jumlah / Total
%
Jumlah / Total
%
Jumlah / Total
%
Jumlah / Total
%
Agricultural / Agricultural
A
420
0.24
535
0.28
753
0.32
390
0.17
189
0.35
Komersial / Commercial
C
94,595
54.42
100,683
53.12
124,558
52.94
123,845
54.78
25,085
46.31
Industrial / Industrial
I
17,199
9.89
18,433
9.73
18,903
8.03
17,165
7.59
4,236
7.82
Residensial / Residential
R
61,613
35.45
69,873
36.87
91,061
38.70
84,669
37.45
24,661
45.52
173,827
100.00
189,524
100.00
235,275
100.00
226,069
100.00
54,171
100.00
Jumlah / Total
Number of Risk By Occupation As at 30 June 2016
Industrial
Agricultural 800.00
20,000.00
700.00
18,000.00 16,000.00
600.00
14,000.00
500.00
12,000.00
400.00
10,000.00
300.00
8,000.00 6,000.00
200.00
4,000.00
100.00
2,000.00
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2012
UY 2016
UY 2013
UY 2014
UY 2015
UY 2016
Residential
Commercial 100,000.00
140,000.00
90,000.00
120,000.00
80,000.00 70,000.00
100,000.00
60,000.00
80,000.00
50,000.00
60,000.00
40,000.00
40,000.00
30,000.00
20,000.00
10,000.00
20,000.00
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2012
UY 2016
UY 2013
UY 2014
UY 2015
UY 2016
Jika terdapat asosiasi antara kontribusi
If there is any association between the
premi dengan banyaknya risiko maka belum
premium contribution and the number of risks then
tentu asosiasi tersebut berbentuk linear dan
the association is not necessarily linear nor
4
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
positif. Hal ini dibuktikan dengan apabila
positive. This is proved which the highest gross
melihat dari premi bruto tertinggi berada di
premium is on the industrial occupation while the
okupasi industrial sedangkan banyak risiko
highest total risk is under commercial occupation.
tertinggi berada pada okupasi komersial. Berdasarkan data okupasi, okupasi
Based on occupation data, Commercial
Komersial terdiri dari beberapa kode okupasi.
occupation consist of several occupation codes.
Jumlah risiko terbesar berdasarkan kode
The highest number of risks by occupation code
okupasi di Underwriting Year 2012 – 2016
in Underwriting Year 2012 – 2016 are as follows:
adalah sebagai berikut: Jumlah Risiko Terbesar pada Okupasi Komersial Berdasarkan Kode Okupasi per 30 Juni 2016 The Highest Number Of Risk in Commercial Occupation as at 30 June 2016 by Occupation Code Description & Occupation Code
Shops Shops - Subject to Waranty A Private Warehouses and Storehouses - Subject to Warranty A Veem and Bonded Warehouses Subject to Warranty A
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Total
Total
Total
Total
Total
2934 29341
0 23,045
0 16,013
33,421 0
33,483 0
6,768 0
29371
13,080
14,355
0
0
0
293941
2
3
0
0
0
36,127
30,371
33,421
33,483
6,768
Total
Okupasi Residensial terdiri dari beberapa kode
okupasi.
Jumlah
risiko
Residential occupation consist of several
terbesar
occupation codes. The highest number of risks by
berdasarkan kode okupasi di Underwriting
occupation code in Underwriting Year 2012 –
Year 2012 – 2016 adalah sebagai berikut:
2016 are as follows:
Jumlah Risiko Terbesar pada Okupasi Residensial Berdasarkan Kode Okupasi per 30 Juni 2016 The Highest Number Of Risk in Residential Occupation as at 30 June 2016 by Occupation Code Description & Occupation Code
Dwelling Houses, not classified as Shop-Houses (Ruko), not exceeding 3 storeys. Total
2976
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Total
Total
Total
Total
Total
35,736
34,338
48,485
44,746
14,226
35,736
34,338
48,485
44,746
14,226
5
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
E. Incurred Claim
E. Incurred Claim
Berdasarkan tabel 1.3, frekuensi klaim
Based on table 1.3, the highest earthquake
gempa bumi paling banyak terjadi di
claim frequency occurred in Underwriting Year
Underwriting Year 2013 yaitu sebanyak 62
2013 was 62 claims and it dominated by
klaim dan didominasi okupasi Komersial
Commercial occupation of 49 claims. It was
sebanyak 49 klaim. Hal ini disebabkan oleh
caused by Kelud Eruption, on 13 February 2014.
kejadian Erupsi Gunung Kelud, 13 Februari
This claim due to Eruption was mostly come from
2014. Klaim akibat Erupsi ini sebagian besar
East Java Province especially City and District of
berasal dari Provinsi Jawa Timur khususnya
Kediri, Malang District and Surabaya city.
Kota & Kab. Kediri, Kab. Malang dan Kota Surabaya.
Tabel 1.3 Frekwensi Klaim Berdasarkan Okupasi per 30 Juni 2016 Table 1.3 Claim Frequency By Occupation as at 30 June 2016 Okupasi
Underwriting Year
Occupation
2012
2013
2014
2015
2016
Agrikultural / Agricultural
A
0
0
0
0
0
Komersial / Commercial
C
16
49
10
25
1
Industrial / Industrial
I
0
5
1
2
0
Residensial / Residential
R
2
8
4
11
4
18
62
15
38
5
Jumlah / Total
Berdasarkan Tabel 1.4 dan grafik terlihat
Based on table 1.4 and graph below it can be
bahwa untuk frekuensi klaim tinggi berada
seen that the high frequency claims lies in
pada Total Incurred Claim yang relatife kecil,
relatively small Total Claim Incurred, while low
sedangkan untuk frekuensi klaim kecil berada
frequency claims lies in relatively big Total Claim
pada Total Incurred Claim yang relative besar.
Incurred. The picture was for Underwriting Year
Gambaran tersebut adalah untuk Underwriting
2016 during the last six month which probably any
Year 2016 selama 6 bulan terakhir dimana
changes if an event occurs in the future.
masih memungkinkan terjadi perubahan jika terjadi event ke depan.
6
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Tabel 1.4 Frekuensi Incurred Claim Underwriting Year 2016 Per 30 Juni 2016 Table 1.4 Frequency Incurred Claim Underwriting Year 2016 as at 30 June 2016 *) Dalam Rupiah *) In IDR
Incurred Claim (BAND) *)
Frekuensi
Jumlah Incurred Claim
Claim Incurred (BAND)*)
Frequency
Total Claim Incurred
0 50 100 200 300 500 750 1,000 1,500 2,000 2,500 3,000 4,000 5,000 7,500 10,000 20,000 50,000 100,000 500,000
50 100 200 300 500 750 1,000 1,500 2,000 2,500 3,000 4,000 5,000 7,500 10,000 20,000 50,000 100,000 500,000 up Jumlah / Total
1 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5
Rata-rata Incurred Claim Incurred Claim Tertinggi Inccured Claim Terendah Average Claim Incurred
50,000,000 175,000,000 360,000,000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 585,000,000
50,000,000 87,500,000 180,000,000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7
Highest Claim Incurred 50,000,000 100,000,000 200,000,000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Lowest Claim Incurred 50,000,000 75,000,000 160,000,000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Dari tabel 1.5 tampak bahwa jumlah klaim
From the table 1.5 below, it shows that the
terbesar berada pada Underwriting Year 2013.
largest claim is in the Underwriting Year 2013. The
Klaim yang terbesar adalah pada okupasi
largest claim is under Commercial occupation that
Komersial, yaitu 99.63% dari total klaim di
is 99.63% of the total claim in Underwriting Year
Underwriting
2013 or Rp.271.3 billion.
Year
2013
atau
sebesar
Rp.271,3 miliar. Tabel 1.5 Jumlah Klaim Berdasarkan Okupasi per 30 Juni 2016 Dalam Rupiah
Table 1.5 Claim Amount By Occupation as at 30 June 2016
In IDR
Underwriting Year Okupasi / Occupation
2012
2013
Jumlah / Total
%
2014
Jumlah / Total
%
2015
Jumlah / Total
%
Jumlah / Total
2016 %
Jumlah / Total
%
Agrikultural / Agricultural
A
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
Komersial / Commercial
C
1,636,685,520.49
92.33
271,246,520,180.70
99.63
624,550,950.05
67.66
5,959,405,013.50
38.45
200,000,000.00
0.00
Industrial / Industrial
I
0.00
0.00
890,057,888.00
0.33
200,000,000.00
21.67
7,680,965,985.00
49.56
0.00
0.00
Residensial / Residential
R
135,984,751.35
7.67
104,486,089.00
0.04
98,536,193.51
10.67
1,857,064,680.00
11.98
385,000,000.00
0.00
1,772,670,271.84
100.00
272,241,064,157.70
100.00
923,087,143.56
100.00
15,497,435,678.50
100.00
585,000,000.00
0.00
Jumlah / Total
Tabel 1.6 menyajikan kejadian Gempa
Table 1.6 shows earthquake events occurred
Bumi Tahun 2016 dan Incurred Claim sampai
in 2016 and the corresponding incurred claims as
dengan 30 Juni 2016.
at 30 June 2016.
Tabel 1.6 Kejadian Gempa Bumi Tahun 2016 dan Klaim per 30 Juni 2016 Table 1.6 Earthquak e Event in 2016 and Claim as at 30 June 2016 Dalam Rupiah In IDR
Kejadian Event
Tanggal Kejadian Date of Loss
Kekuatan Gempa (S.R) Magnitude (S.R)
Air Bangis
2-Mar-16
7.8 SR
10,000,000.00
Mentawai
5-Mar-16
5.3 SR
10,000,000.00
Garut
6-Apr-16
6.1 SR
181,170,253.50
Solok
2-Jun-16
6.5 SR
1,510,000,000.00
8
Klaim Claim
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Gambar 3. Peta Intensitas dan ShakeMap Gempa Air Bangis, Garut dan Solok setelah kejadian (sumber peta intensitas: http://www.earthquake.usgs.gov). Picture 3. Intensity Map and ShakeMap Air Bangis, Garut and Solok Earthquake after event (intensity map sources: http://www.earthquake.usgs.gov).
9
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Tabel 1.7 menyajikan klaim untuk event Air
Table 1.7 shows Air Bangis, Mentawai,
Bangis, Mentawai, Garut dan Solok perjenis
Garut and Solok event by occupation. It can be
okupasi. Dapat dilihat bahwa okupasi yang
seen
terdampak pada beberapa event tersebut adalah
Occupation
Komersial dan Residensial. Hal ini dimungkinkan
mentioned. This is probably a little/there is not
masih sedikit/belum adanya penutupan pada
yet cover in Industrial and Agricultural
Okupasi Industrial dan Agrikultural sehingga
Occupation so the impact to the occupation
dampak ke Okupasi tersebut belum ada atau
does not exist or may the claim report was not
mungkin laporan klaim untuk kedua Okupasi
received yet (Incurred But Not Reported).
that
Commercial affected
and
with
Residential
some
event
tersebut belum masuk. Tabel 1.7 Kejadian Gempa Bumi Tahun 2016 dan Klaim per Okupasi per 30 Juni 2016 Table 1.7 Earthquake Event in 2016 and Claim per Occupation as at 30 June 2016 Okupasi Occupation Kejadian Event
Tanggal Kejadian Date of Loss Agrikultural /
Air Bangis
2-Mar-16
Frekuensi / Frequency
Jumlah (Dalam Rupiah) / Amount (In IDR)
Komersial /
Industrial /
Agricultural
Commercial
Industrial
Residential
0
0
0
1
0.00
0.00
0.00
10,000,000.00
Residensial / Agrikultural / Agricultural
Komersial / Commercial
Industrial /
Residensial /
Industrial
Residential 10,000,000.00
Mentawai
5-Mar-16
0
1
0
0
0.00
0.00
0.00
Garut
6-Apr-16
0
2
0
1
0.00
106,170,253.50
0.00
75,000,000.00
Solok
2-Jun-16
0
2
0
3
0.00
1,200,000,000.00
0.00
310,000,000.00
Tabel di bawah ini adalah daftar klaim
The table below is a list of the largest claims
terbesar sampai dengan tanggal 30 Juni 2016.
as at 30 June 2016. Pariaman event was the
Event Pariaman merupakan event dengan besar
biggest claim in the period of 5 years since the
klaim terbesar dalam kurun waktu 5 tahun pasca
Aceh event.
event Aceh.
10
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Daftar Klaim - Klaim Terbesar Posisi 30 Juni 2016 List of The Largest Claims as at 30 June 2016 Dalam Rupiah In IDR
No.
Kejadian Event
Tanggal Kejadian Date of Loss 26-12-2004
Kekuatan Gempa (S.R) Magnitude (S.R) 9
Klaim Claim 781,709,354,691.64
1
ACEH
2
YOGYA
27-05-2006
5.9
286,314,259,635.72
3
PADANG
06-03-2007
5.8
22,445,090,553.18
4
BENGKULU
12-09-2007
7.9
48,880,150,344.02
5
PADANG
16-08-2009
6.9
42,782,942,555.00
6
TASIKMALAYA
02-09-2009
7.3
7
PARIAMAN
30-09-2009
7.6
1,083,648,012,851.01
8
BIMA
09-11-2009
6.7
43,046,593,135.48
9
MERAPI
25-10-2010
*)
27,499,741,856.40
10
KELUD
13-02-2014
*)
322,962,107,319.64
24,305,724,396.26
*) Penyeba b terka i t l etus a n gunung bera pi *) Caused by volcanic eruption
Tabel 1.8 menyajikan data jumlah polis dan
Table 1.8 shows number of policies, and
loss ratio per 30 Juni 2016. Tabel tersebut
loss ratio as at 30 June 2016. The table show
menunjukkan loss ratio Underwriting Year 2016
that the biggest loss ratio was at Underwriting
masih lebih kecil dari 5 Underwriting Year.
Year 2013 i.e. 6.01%. It was influenced by
Sedangkan loss ratio tertinggi berada pada
large amount of claim that resulting majority
Underwriting Year 2013 sebesar 6.01%. Hal ini
from Kelud Eruption in 2014.
dipengaruhi oleh nilai klaim yang cukup tinggi yang mayoritas disebabkan dari Erupsi Gunung Kelud tahun 2014. Tabel 1.8 Jumlah Polis dan Loss Ratio per 30 June 2016 Table 1.8 Number of Policies and Loss Ratio as at 30 June 2016 Underwriting
Jumlah Polis
Premi *)
Frekwensi Klaim
Jumlah Klaim *)
Year
Number of Policies
Premium *)
Claim Frequency
Incurred Claim *)
2012
173,827
2,721,401,635,174.71
18
1,772,670,271.84
0.07%
2013
189,524
4,529,595,941,316.70
62
272,241,064,157.70
6.01%
2014
235,275
4,982,077,446,302.20
15
923,087,143.56
0.02%
2015
226,069
5,186,253,804,675.63
38
15,497,435,678.50
0.30%
2016
54,171
925,235,320,285.70
21
585,000,000.00
0.06%
Loss Ratio
Keterangan : *) Dalam Rupiah *) In IDR
11
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Tabel 1.9 menyajikan Premi dan Exposure
Table 1.9 shows Premium and Exposure as at
per 30 Juni 2016. Dapat dilihat bahwa trend
30 June 2016. It can be seen that increase trend
kenaikan pada premi dari Underwriting Year
on premium will also be in exposure for
2012-2015 akan terjadi juga pada sisi
Underwriting Year 2012-2015.
Exposure.
Tabel 1.9 Premi dan Exposure per 30 Juni 2016 Table 1.9 Premium and Exposure as at 30 June 2016 Dalam Jutaan Rupiah In Million IDR
Premi
Exposure
Premium
Exposure
2012
2,721,401.64
1,974,309,314.68
2013
4,529,595.94
2,758,269,954.05
2014
4,982,077.45
3,128,409,723.85
2015
5,186,253.80
3,548,422,344.44
2016
925,235.32
727,575,486.02
T OT AL
18,344,564.15
12,136,986,823.04
Underwriting Year
12
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Ulasan Aktuaria / Actuarial Commentary
Pengaruh Deductible pada Distribusi Frekuensi Klaim dan Besar Klaim The Effect of Deductibles on Claims Frequency and Claims Severity Distributions Pemodelan klaim menggunakan model
Modelling claims frequency and claims
peluang dapat dilakukan terhadap frekuensi
amount (severity) may be carried out using
klaim dan besar (severitas) klaim. Ulasan
probability models. This actuarial article
aktuaria
pengaruh
discusses the effect of deductibles on the
deductible pada distribusi peluang peubah
probability distributions of claims severity and
acak severitas dan peubah acak frekuensi
claims frequency random variables. Applying
klaim. Deductible merupakan salah satu jenis
a deductible is one way of coverage
modifikasi cakupan polis. Modifikasi cakupan
modification. Insurance companies often
polis sering diterapkan perusahaan asuransi
modify the policy coverage to reduce risks
untuk mengurangi risiko dan/atau mengontrol
and/or control the problem of moral hazard,
bahaya moral, yaitu situasi dimana terjadi
which refers to the situation in which the
perubahan perilaku dari pemegang polis akibat
insured behaves differently due to a given
adanya perlindungan terhadap kerugian.
protection of loss. With a deductible, a
Dengan adanya deductible, pembayaran klaim
payment in a loss event does not incur if the
tidak terjadi apabila kerugian tidak melebihi
loss does not exceed the deductible.
kali
ini
membahas
nilai deductible. Sebelum membahas lebih lanjut mengenai
Before further discussion on deductible,
deductible, diperlukan definisi yang jelas
the definitions of loss events and payment
tentang kejadian kerugian dan kejadian
events are required. A loss event occurs
pembayaran. Kejadian kerugian terjadi apabila
whenever there is a loss; whereas a payment
terdapat
kejadian
event occurs only when the insurer is liable to
pembayaran terjadi ketika pihak asuransi
pay some or all of the loss. Notations on
sebagai penanggung memiliki liabilitas untuk
random variables which will be used in this
membayar seluruh atau sebagian kerugian.
article are as follows:
kerugian,
sedangkan
Beberapa notasi dari peubah acak yang akan digunakan adalah sebagai berikut:
13
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
𝑋 ≔peubah acak yang menyatakan nilai yang
dibayarkan
kerugian
ketika
𝑋 ≔random variable which defines the
atas
kejadian
amount paid in a loss event when
tidak
terdapat
there is no coverage modification,
modifikasi cakupan polis,
𝑋𝐿 ∶=random variable which defines the
𝑋𝐿 ∶=peubah acak yang menyatakan nilai yang
dibayarkan
atas
amount paid in a loss event when
kejadian
there is coverage modification,
kerugian ketika terdapat modifikasi
𝑋𝑃 ∶=random variable which defines the
cakupan polis,
amount paid in a payment event when
𝑋𝑃 ∶=peubah acak yang menyatakan nilai yang
dibayarkan
atas
there is coverage modification.
kejadian
pembayaran ketika terdapat modifikasi cakupan polis. 𝑋, 𝑋𝐿 dan 𝑋𝑝 secara berturut-turut disebut
𝑋, 𝑋𝐿 , and 𝑋𝑝 consecutively denote the
sebagai ground-up loss, cost per loss, dan cost
ground-up loss, cost per loss, and cost per
per payment. 𝑋 dan 𝑋𝐿 memiliki support
payment. Thus, 𝑋 dan 𝑋𝐿 have non-negative
nonnegatif, sedangkan 𝑋𝑝 memiliki support
support, while 𝑋𝑝 has positive support.
positif. Misalkan suatu polis asuransi memiliki nilai
Consider an insurance policy with a
deductible sebesar 𝑑 sedemikian sehingga
deductible of 𝑑 such that the insurer will not
pihak asuransi tidak akan membayar kepada
pay the policyholder if the loss 𝑋 is less than or
pemegang polis apabila kerugian 𝑋 kurang
equal to 𝑑; and will pay 𝑋 − 𝑑 if the loss 𝑋
dari atau sama dengan 𝑑 dan akan membayar
exceeds 𝑑. Assume that the imposition of
sebesar 𝑋 − 𝑑 apabila kerugian 𝑋 melebihi 𝑑.
coverage modification does not affect the
Asumsikan bahwa adanya modifikasi cakupan
process
polis tidak memengaruhi proses terjadinya
characteristics of the individuals who will
kerugian maupun karakteristik individu yang
purchase the insurance product. Therefore, the
akan membeli produk asuransi. Dengan
amount paid in a loss event is given by
that
produces losses
or
the
demikian, nilai yang dibayarkan atas kejadian kerugian adalah 𝑋𝐿 = (𝑋 − 𝑑)+ = {
14
0, 𝑋≤𝑑 𝑋 − 𝑑, 𝑋 > 𝑑
(1)
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Berdasarkan persamaan 1, seluruh nilai
Based on equation 1, the entire value of losses
kerugian kurang dari sama dengan 𝑑 dipetakan
which is less than or equal 𝑑 are mapped to
ke titik nol, sehingga peubah acak 𝑋𝐿 memiliki
point zero. Therefore, the random variable 𝑋𝐿
massa peluang di titik nol sebesar
has a probability mass at point zero of (2)
𝑃𝑟(𝑋𝐿 = 0) = 𝑃𝑟(𝑋 ≤ 𝑑) = 𝐹𝑋 (𝑑)
Dengan demikian,
berdistribusi
The random variable 𝑋𝐿 has a mixed-type
campuran; yaitu terdapat massa peluang di titik
distribution; having a probability mass at point
nol atau peluang di titik nol adalah 𝐹𝑋 (𝑑) , dan
zero of 𝐹𝑋 (𝑑) and, for 𝑥 > 𝑑 , a density
untuk 𝑥 > 𝑑, fungsi densitas peluang 𝑋𝐿
function of
𝑋𝐿
adalah sebagai berikut: 𝑓𝑋𝐿 (𝑥 − 𝑑) = 𝑓𝑋 (𝑥),
Persamaan 3 juga dapat dituliskan dalam bentuk berikut:
(3)
𝑥 > 𝑑.
Equation 3 can also be written as
𝑓𝑋𝐿 (𝑥) = 𝑓𝑋 (𝑥 + 𝑑),
𝑥>0
(4)
The distribution function of the random
Fungsi distribusi dari peubah acak 𝑋𝐿 adalah
variable 𝑋𝐿 is given by 0, 𝐹𝑋𝐿 = { 𝐹𝑋 (𝑥 + 𝑑)
Mean atau rataan dari peubah acak 𝑋𝐿 adalah
∞
𝑥<0 𝑥 ≥ 0.
(5)
The mean of 𝑋𝐿 may be calculated as follows
∞
∞
𝐸[𝑋𝐿 ] = ∫0 𝑥 𝑓𝑋𝐿 (𝑥) 𝑑𝑥 = ∫𝑑 (𝑥 − 𝑑) 𝑓𝑋 (𝑥) 𝑑𝑥 = ∫𝑑 𝑆𝑋 (𝑥) 𝑑𝑥.
(6)
Berbeda dari peubah acak 𝑋𝐿 , peubah acak 𝑋𝑃
Unlike the random variable 𝑋𝐿 , the random
terdefinisi
terdapat
variable 𝑋𝑃 is defined only when there is a
Pada
payment, i.e. when 𝑋 > 𝑑. In practice, only
praktiknya, sering kali hanya data pembayaran
the data on payments are available. When a
saja yang tersedia. Ketika kerugian kurang dari
loss is less than or equal to the deductible,
nilai deductible, maka tidak ada klaim yang
usually a claim will not be reported to the
jika
pembayaran,
dan yaitu
hanya ketika
jika 𝑋 > 𝑑.
15
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
dilaporkan ke perusahaan asuransi, sehingga
insurance company and the information of the
informasi kerugian (ground-up loss) tidak ada.
ground up loss is not recorded. Based on the
Berdasarkan proses terbentuknya, distribusi dari
process, the distribution of the random
peubah acak 𝑋𝐿 dan 𝑋𝑝 secara berturut turut juga
variables 𝑋𝐿 and 𝑋𝑃 are called censored
disebut
distribution
sebagai
censored distribution
dan
and
truncated
distribution,
truncated distribution. 𝑋𝑃 yang pada umumnya
resepectively. The random variable
𝑋𝑃 ,
disebut excess-loss variable merupakan peubah
which is generally called an excess-loss
acak bersyarat yang didefinisikan sebagai
variable, is a conditional random variable defined as (7)
𝑋𝑃 = 𝑋 − 𝑑 | 𝑋 > 𝑑 = 𝑋𝐿 | 𝑋𝐿 > 0, sehingga 𝑋𝑃 = {
𝑢𝑛𝑑𝑒𝑓𝑖𝑛𝑒𝑑, 𝑋 − 𝑑,
𝑋≤𝑑 . 𝑋>𝑑
Dapat dilihat bahwa 𝑋𝑃 selalu berdistribusi kontinu
apabila
Note that 𝑋𝑃 follows a continuous
kontinu.
distribution if 𝑋 is continuous. Based on
Berdasarkan persamaan 7, fungsi densitas, fungsi
equation 7, the density function, the
distribusi, dan mean dari peubah acak 𝑋𝑃 adalah
distribution function, and the mean of random
𝑋
berdistribusi
(8)
variable 𝑋𝑃 , respectively, are as follows: 𝑓𝑋 (𝑥)
𝐿 𝑓𝑋𝑃 (𝑥) = 𝑃𝑟(𝑋>𝑑) =
𝐹𝑋𝑃 (𝑥) =
𝑓𝑋 (𝑥+𝑑) 𝑆𝑋 (𝑑)
𝐹𝑋 (𝑥+𝑑)−𝐹𝑋 (𝑑) 𝑆𝑋 (𝑑)
∞
∞
𝐸[𝑋𝑃 ] = ∫0 𝑥 𝑓𝑋𝑃 (𝑥) 𝑑𝑥 = ∫0 𝑥 [
Sebagai
ilustrasi,
misalkan
As
(9)
, 𝑥>0
(10)
, 𝑥>0 𝑓𝑋 (𝑥+𝑑) ] 𝑑𝑥 𝑆𝑋 (𝑑)
an
=
𝐸[𝑋𝐿 ] 𝑆𝑋 (𝑑)
illustration,
(11)
let
𝑋~𝑙𝑜𝑔𝑛𝑜𝑟𝑚𝑎𝑙 (𝜇 = 6,8; 𝜎 2 = 1,4162)
𝑋 ~ 𝑙𝑜𝑔𝑛𝑜𝑟𝑚𝑎𝑙 (𝜇 = 6.8; 𝜎 2 = 1.4162)
dan 𝑑 = 4000. Dapat dilihat pada Gambar 1
and 𝑑 = 4000. In Figure 1 it is shown that the
bahwa fungsi distribusi dari peubah acak cost
distribution function of the random variable cost
per loss mengalami loncatan di titik nol karena
per loss jumps at point zero, indicating the
adanya massa peluang di titik tersebut. Selain
probability mass at that point. Furthermore, it
itu, dapat dilihat pula bahwa deductible tidak
can seen that a deductible does not make the
menyebabkan liabilitas pihak asuransi dalam
liability of the insurer becomes limited. Unlike
16
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
pembayaran klaim menjadi terbatas. Berbeda
that of the random variable cost per loss, the
dari peubah acak cost per loss, fungsi distribusi
distribution function of the random variable cost
dari peubah acak cost per payment tidak
per payment has no jump point.
mengalami loncatan.
. Gambar 1. Grafik perbandingan fungsi distribusi cost per loss dan cost per payment untuk 𝑑 = 4000. Figure 2. Comparisons of the distribution functions of cost per loss and cost per payment random variables for 𝑑 = 4000.
Selanjutnya, untuk memperoleh nilai ekspektasi
Next, the expected value of the random
dari peubah acak cost per loss akan digunakan
variable cost per loss will be determined based
teorema berikut:
on the following theorem.
Teorema 1. Misalkan X~lognormal (μ; σ2 ) ,
Teorema 1. Let 𝑋 ~ 𝑙𝑜𝑔𝑛𝑜𝑟𝑚𝑎𝑙 (𝜇; 𝜎 2 ) ,
maka untuk suatu konstanta positif d
then for a positive constant 𝑑
𝜎2 𝐸[𝑋𝐿 ] = 𝐸[(𝑋 − 𝑑)+ ] = 𝑒𝑥𝑝 (𝜇 + ) [1 − Φ(𝑧 ∗ )] − 𝑑[1 − Φ(𝑧 ∗ + 𝜎)], 2
dengan
where 𝑧∗ =
Dengan
menggunakan
Teorema
ln 𝑑−𝜇 𝜎
− 𝜎..
1,
Using Theorem 1, the expectation of the
diperoleh nilai ekspektasi dari peubah acak cost
cost per loss random variable for several values
per loss untuk beberapa nilai deductible yang
of deductibles may be determined. It can be
berbeda seperti pada Gambar 2. Dapat dilihat
seen in Figure 2 that the greater the value of
bahwa semakin besar nilai deductible, nilai
17
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
ekspektasi dari peubah acak cost per loss
the deductible, the smaller the expected value
semakin kecil.
of the cost per loss random variable is.
Gambar 3. Pengaruh deductible terhadap ekspektasi peubah acak cost per loss. Figure 4. The effect of deductibles on the expected values of the cost per loss random variable.
Selain
berpengaruh
pada
severitas
Besides affecting the severity of claims
pembayaran
klaim,
deductible
juga
payment, a deductible also affects the
memengaruhi frekuensi pembayaran klaim.
frequency of claims payment. Suppose 𝑋𝐽
Misalkan 𝑋𝑗 menyatakan ground-up loss dari
represents the ground up loss on the 𝑗 𝑡ℎ loss. If
suatu kejadian kerugian ke-𝑗. Jika 𝑣 didefinsikan
𝑣 is defined as the probability that a loss will
sebagai
result in a payment, under the assumption of a
peluang
bahwa
suatu
kerugian
menyebabkan terjadinya pembayaran klaim,
deductible of 𝑑, then
maka di bawah asumsi deductible sebesar 𝑑, 𝑣 = 𝑃𝑟(𝑋 > 𝑑).
(12)
Notasikan 𝑁𝐿 dan 𝑁𝑃 secara berturut-turut
Denote 𝑁𝐿 and 𝑁𝑃 , respectively, as
sebagai peubah acak yang menyatakan
random variables which define the frequency of
frekuensi kerugian dan frekuensi pembayaran.
losses and the frequency of payments. Define
Definisikan 𝐼𝑗 sebagai peubah acak indikator
the indicator random variable 𝐼𝑗 by 𝐼𝑗 = 1 if
yang bernilai 1 (satu) apabila kerugian ke-𝑗
the𝑗 𝑡ℎ loss results in a payment and 𝐼𝑗 = 0 if
menyebabkan terjadinya pembayaran; dan
the 𝑗 𝑡ℎ loss does not result in a payment. Thus,
bernilai 0 (nol) apabila kerugian ke-𝑗 tidak
𝐼𝑗 ~ 𝐵𝑒𝑟𝑛𝑜𝑢𝑙𝑙𝑖(𝑣) and 𝑁𝑃 may be defined
menyebabkan terjadinya pembayaran. Dengan
as follows
demikian, 𝐼𝑗 ~𝐵𝑒𝑟𝑛𝑜𝑢𝑙𝑙𝑖(𝑣) dan peubah acak 𝑁𝑃 dapat didefinisikan sebagai berikut:
18
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
(13)
𝑁𝑃 = 𝐼1 + ⋯ + 𝐼𝑁𝐿 . Sesuai dengan definisi tersebut, di bawah
Based on this definition, under the following
asumsi
assumptions
1.
𝐼1 , … , 𝐼𝑁𝐿 saling bebas dan identik,
2.
𝑁𝐿 saling bebas dengan 𝐼𝑗 ,
1. 𝐼1 , … , 𝐼𝑁𝐿 are mutually independent and identically distributed, 2.
𝑁𝐿 distributed independently of 𝐼𝑗 ,
𝑁𝑃 dikatakan memiliki distribusi compound.
𝑁𝑃 is said to have a compound distribution.
Distribusi dari peubah acak 𝑁𝐿 disebut
The distribution of the random variable 𝑁𝐿 is
sebagai distribusi primer dan distribusi dari
called the primary distribution, and the
peubah acak 𝐼𝐽 disebut sebagai distribusi
distribution of 𝐼𝐽 is called the secondary
sekunder. Fungsi pembangkit peluang dari
distribution.
peubah
acak
𝑁𝑃
dapat
ditentukan
The
probability
function of random variable 𝑁𝑃
menggunakan persamaan berikut:
generating may be
calculated as follows:
𝑃𝑁𝑃 (𝑡) = 𝐸[𝑡 𝑁𝑃 ] = 𝐸[𝑡 𝐼1 +⋯+𝐼𝑁𝐿 ]
(berdasarkan definisi) (by definition)
= 𝐸 [𝐸[𝑡 𝐼1 +⋯+𝐼𝑁𝐿 |𝑁𝐿 ]]
(menggunakan ekspektasi bersyarat dan kebebasan 𝑁𝐿 dari 𝐼𝑗 )
(using conditional expectation and independence of 𝑁𝐿 and 𝐼𝑗 ) = 𝐸 [[𝐸[𝑡 𝐼𝑗 ]]
𝑁𝐿
] (menggunakan sifat bahwa 𝐼1 , … , 𝐼𝑁𝐿 saling bebas dan berdistribusi identik) (using the fact that 𝐼1 , … , 𝐼𝑁𝐿 are independently and identically distributed)
= 𝑃𝑁𝐿 [𝑃𝐼𝑗 (𝑡)].
(14)
Fungsi pembangit peluang (f.p.p) dari peubah
The probability generating function (p.g.f) of the
acak 𝐼𝑗 adalah
random variable 𝐼𝑗 is 𝑃𝐼𝑗 (𝑡) = 1 + 𝑣(𝑡 − 1),
(15)
such that
sehingga
𝑃𝑁𝑃 (𝑡) = 𝑃𝑁𝐿 [𝑃𝐼𝑗 (𝑡)] = 𝑃𝑁𝐿 [1 + 𝑣(𝑡 − 1)].
(16)
Teorema 2. Misalkan Y merupakan peubah
Theorem 2. Let 𝑌 denotes a random variable
acak yang mengikuti suatu distribusi peluang
with probability function belongs to (a,b,0) class
19
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
pada kelas (a,b,0). Fungsi pembangit peluang
of distributions. The p.g.f of 𝑌 can be written as
(f.p.p) dari peubah acak Y dapat dituliskan dalam
follows
bentuk berikut 𝑃𝑌 (𝑡|𝛽) = 𝑄𝑌 [𝛽(𝑡 − 1)],
(17)
dengan β adalah parameter dari Y dan QY (. )
where 𝛽 is a parameter of 𝑌 and 𝑄𝑋 (. ) is a
adalah fungsi dari β(t − 1).
function of 𝛽(𝑡 − 1) only.
Teorema 2 menunjukkan bahwa menambah,
Theorem 2 shows that adding, deleting, or
mengurangi,
peluang
modifying the probability at zero in the
distribusi sekunder pada nilai nol setara dengan
secondary distribution is equivalent to modifying
mengubah parameter 𝛽 yang merupakan
the parameter 𝛽 of the primary distribution.
parameter dari distribusi primer. Berdasarkan
Based on Theorem 2, if the random variable 𝑁𝐿
Teorema 2, apabila 𝑁𝐿 berdistribusi kelas
has a probability function belongs to a (a,b,0)
(a,b,0), maka
class of distributions, then
atau
memodifikasi
(18)
𝑃𝑁𝐿 (𝑡|𝛽) = 𝑄𝑁𝐿 [𝛽(𝑡 − 1)].
Dengan demikian f.p.p dari peubah acak 𝑁𝑃
Consequently, the p.g.f of random variable 𝑁𝑃
dapat dituliskan sebagai berikut
can be written as follows
𝑃𝑁𝑃 (𝑡) = 𝑃𝑁𝐿 [1 + 𝑣(𝑡 − 1)] = 𝑄𝑁𝐿 [𝛽(1 + 𝑣(𝑡 − 1) − 1)] = 𝑄𝑁𝐿 [𝛽𝑣(𝑡 − 1)].
(19)
Persamaan 18 dan 19 menunjukkan bahwa 𝑁𝑃
Equations 18 and 19 imply that 𝑁𝑃 and 𝑁𝐿 are
dan 𝑁𝐿 berada pada keluarga distribusi yang
both from the same parametric family of
sama, sehingga hanya diperlukan penyesuaian
distributions,
parameter, yaitu
adjustment is needed: 𝛽 ∗ = 𝛽𝑣.
such
that
only
parameter
(20)
Dalam praktik, dapat saja terjadi modifikasi
In practice, it is posibble that certain
pada peluang frekuensi klaim bernilai nol.
modification of probability at zero for claims
Dengan kata lain, 𝑃𝑟(𝑁𝐿 = 0) = 0 (zero
frequency is required. In other words, 𝑃𝑟(𝑁𝐿 =
modified)
(zero
0) = 0 (zero truncated) or 𝑃𝑟(𝑁𝐿 = 0) > 0
truncated). Apabila hal ini terjadi, maka distribusi
(zero modified). Under this modification, the
peluang tersebut termasuk ke dalam kelas
probability distribution is said to be a member of
(a,b,1). Definisi dari distribusi kelas (a,b,1) dapat
the (a,b,1) class of distributions. The definition
atau
𝑃𝑟(𝑁𝐿 = 0) > 0
20
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
dilihat pada Klugman dkk (edisi 3, Tahun 2008)
of (a,b,1) class of distributions may be found in
pada Halaman 121. Penyesuaian parameter
Klugman et.al (3rd edition, 2008) page 121. The
atau Frequency adjustment untuk beberapa
following
distribusi 𝑁𝐿 yang termasuk dalam kelas (a,b,0)
adjustments for several distributions of 𝑁𝐿
dan (a,b,1) dapat dilihat pada tabel berikut:
which belong to (a,b,1) or (a,b,0) classes:
table
shows
the
frequency
Tabel 1. Penyesuaian Parameter. Table 2. Frequency adjustment.
𝑵𝑳 distribution
Parameters for 𝑵𝑷
Poisson
𝜆∗ = 𝑣𝜆
Zero Modified Poisson
𝑝0𝑀∗ = 𝑝0𝑀 − 𝑒 −𝜆 + 𝑒 −𝑣𝜆 − 𝑝0𝑀 𝑒 −𝑣𝜆 ∗ , 𝜆 = 𝑣𝜆 1 − 𝑒 −𝜆
Binomial
𝑞 ∗ = 𝑣𝑞
Zero Modified Binomial
𝑝0𝑀∗
𝑝0𝑀 − (1 − 𝑞)𝑚 + (1 − 𝑣𝑞)𝑚 − 𝑝0𝑀 (1 − 𝑣𝑞)𝑚 ∗ = , 𝑞 = 𝑣𝑞 1 − (1 − 𝑞)𝑚
Negative Binomial Zero Modified Negative Binomial Zero Modified Logarithmic
𝛽 ∗ = 𝑣𝛽, 𝑟 ∗ = 𝑟 𝑝0𝑀∗ =
𝑝0𝑀 − (1 + 𝛽)−𝑟 + (1 + 𝑣𝛽)−𝑟 − 𝑝0𝑀 (1 + 𝑣𝛽)−𝑟 ∗ , 𝛽 = 𝑣𝛽, 𝑟 ∗ = 𝑟 1 − (1 + 𝛽)−𝑟
𝑝0𝑀∗ = 1 − (1 − 𝑝0𝑀 )
ln(1 + 𝑣𝛽) ∗ , 𝛽 = 𝑣𝛽 ln(1 + 𝛽)
Sumber: Klugman, S.A., Panjer, H. H., and Wilmot, G. E. (2008). Loss Models : From Data to Decisions. Third edition. Halaman 195.
Referensi 1. Klugman, S.A., Panjer, H. H., and Wilmot, G. E. (2008). Loss Models : From Data to Decisions. Third edition. John Wiley and Sons Publication. 2. Tse, Y. (2009). Nonlife Actuarial Models Theory : Methods and Evaluation. United States of America : Cambridge University Press.
21
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Ulasan Asuransi / Insurance Commentary
Gempabumi yang Mengubah Earthquake that change
Selama kurun waktu 2004 sampai dengan
During the period 2004 until 2016, there were
2016, tercatat terdapat beberapa gempabumi
several earthquakes that recorded with large
dengan dampak besar. Namun perlukah
impact. Is it necessary issued temporary policy to
mengambil kebijakan sementara untuk tidak
exclude the area that affected by the earthquake
melakukan penutupan pada daerah terdampak
after the incident? In previous Insurance
pasca kejadian gempabumi? Pada Ulasan
Commentary
Asuransi
Ulasan
Commentary: The penetration of Earthquake
Gempabumi
insurance in Indonesia - The Role of Insurance
sebelumnya
Asuransi: Penetrasi Indonesia
-
(MAIPARK, Asuransi
Peranan
Industri
(MAIPARK,
Insurance
Asuransi
Industry in protecting the Earthquake Prone Areas
Melindungi Area Rawan Gempa (Jakarta:
(Jakarta: Indonesian Earthquake Insurance
Laporan Statistik Asuransi Gempa Bumi
Statistic as at 31 December 2015, 2015), page
Indonesia per 31 Desember 2015, 2015), hlm 29-
29-33), described that after events, the
33), telah dipaparkan bahwa pasca kejadian,
earthquake insurance coverage is increasing
kecenderungan penutupan asuransi gempabumi
from year to year.
semakin meningkat dari tahun ketahun. If it is associated with number of claims, what
Jika dikaitkan dengan jumlah klaim, pada terimbas
is the most affected occupacy by the earthquakes
gempabumi dengan dampak besar dan hal-hal
with large impact and what does changed? It can
apakah yang mengalami perubahan? Pada
be seen below that Commercial Occupacy
beberapa kejadian gempabumi dengan dampak
experienced the greatest impact to some
besar di bawah ini dapat dilihat bahwa okupasi
earthquake with large impact. Especially for
yang mengalami dampak terbesar adalah
Padang Earthquake, Residential Occupacy also
okupasi Komersial. Sedangkan khusus untuk
experience the greatest impact besides the
Gempabumi Padang, Okupasi yang mengalami
Commercial Occupacy.
okupasi
apakah
paling
banyak
dampak terbesar selain Komersial adalah Residensial.
22
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Kecenderungan
yang
terjadi
pasca
Propensity after the earthquake with great
gempabumi dengan dampak besar adalah
impact i.e. increasing number of risks by
adanya peningkatan jumlah risiko yang ditutup
occupacy (commercial and residential) which
pada okupasi tersebut ditahun setelahnya.
write in the year thereafter. But for the Aceh
Namun untuk Gempabumi Aceh, peningkatan
Earthquake, significant increase occurred two
signifikan terjadi setelah 2 tahun pasca event
years after the event.
tersebut. Terkait peningkatan penutupan risiko
Related to significant increase on the write of
gempabumi yang signifikan setelah kejadian,
earthquake risks after the event, especially for the
khusus untuk gempabumi Aceh memiliki
Aceh Earthquake have a little diference, this can
sedikit perbedaan, hal ini dapat diakibatkan
be caused by delays in the process of
terhambatnya
dan
rehabilitation and reconstruction so that the
rekonstruksi sehingga jumlah risiko yang
number of the insured risk is not yet maximized.
diasuransikan belum maksimal. Lamanya
The
proses rehabilitasi dan rekonstruksi ini dapat
reconstruction process can be caused by the
diakibatkan karena faktor berikut:
following factors:
1. Lumpuhnya Pemerintahan Daerah.
1. Local government paralzed.
2. Tidak adanya Logistik.
2. Lack of logistics.
3. Alutsista TNI sangat kurang, akibat
3. Indonesian Nasional Army “Alutsista” very less,
proses
rehabilitasi
embargo & sanksi.
the
rehabilitation
and
4. The armed conflict with GAM is still ongoing.
berlangsung. penolakan
of
due to the embargo and sanctions.
4. Konflik bersenjata dengan GAM masih 5. Ada
duration
5. There is a rejection of international terhadap
bantuan
assistance, including military.
internasional, termasuk militernya.
6. The Disaster Management Agency (Badan
6. Badan penanggulangan bencana belum
Penanggulangan Bencana) has not yet
terbentuk.
formed.
7. Undang-Undang penanggulangan bencana
7. Disaster Management Act no.
belum ada.
8. State Budget for 2004 is not available for the
8. Anggaran APBN 2004 tidak tersedia untuk
tsunami emergency response in Aceh and
tanggap darurat tsunami Aceh dan Nias.
Nias. (source:http://news.detik.com/berita/2787842/catatan-
(sumber:
sby-soal-persoalan-pelik-dalam-penanganan-pasca-tsunami-
http://news.detik.com/berita/2787842/catatan-
sby-soal-persoalan-pelik-dalam-penanganan-pasca-
aceh).
tsunami-aceh).
23
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Bangsa dan pemerintah Indonesia tentunya
The nation and the Indonesian government
telah sejak lama memahami posisi geografis,
have understood the Indonesia geographical
geologis, hidrologis, dan demografis Indonesia
position,
yang rentan terhadap bencana. Semenjak
demographic are prone to disaster. Since the
Gempabumi Aceh 2004 dan bencana lain
Aceh Earthquake 2004 and other disaster
setelahnya, Pemerintah telah mengundangkan
thereafter, the Government has enacted Law No.
Undang-Undang Nomor 24 Tahun 2007
24 of 2007 as an umbrella law on disaster
sebagai
dalam
management and establishing the Disaster
dasar
Management Agency at central and local levels
Penanggulangan
and budget allocations. Some of these changes
Bencana di tingkat pusat dan daerah serta
may support the growing number of earthquake
alokasi anggaran. Beberapa perubahan inilah
insurance risk. Mari Ber(ikan)asuransi.
payung
penanggulangan pembentukan
hukum
bencana Badan
dan
geological,
hydrological
and
yang dapat mendukung peningkatan jumlah risiko
asuransi
gempabumi.
Mari
Ber(ikan)asuransi.
24
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Gambar??. Grafik Persentase Jumlah Klaim dan peningkatan Persentase Penutupan Berdasar Jumlah Risiko Okupasi Komersial setelah kejadian Gempa Aceh 26 Desember 2004. Picture??. Number of Risk Percentage Chart on Claim and increasing insurance write for commercial occupacy after Aceh Earthquake 26 December 2004.
Gambar??. Grafik Persentase Jumlah Klaim dan peningkatan Persentase Penutupan Berdasar Jumlah Risiko Okupasi Komersial setelah kejadian Gempa Yogya 27 Mei 2007. Picture??. Number of Risk Percentage Chart on Claim and increasing insurance write for commercial occupacy after Yogya Earthquake 27 Mei 2007.
25
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Gambar ??. Grafik Persentase Jumlah Klaim dan peningkatan Persentase Penutupan Berdasar Jumlah Risiko Okupasi Komersial setelah kejadian Gempa Bengkulu 12 September 2007. Picture ??. Number of Risk Percentage Chart on Claim and increasing insurance write for commercial occupacy after Bengkulu Earthquake 12 September 2007.
Gambar??. Grafik Persentase Jumlah Klaim dan peningkatan Persentase Penutupan Berdasar Jumlah Risiko Okupasi Komersial dan Residensial setelah kejadian Gempa Padang 30 September 2009. Picture ??. Number of Risk Percentage Chart on Claim and increasing insurance write for commercial and residential occupacy after Padang Earthquake 30 September 2009.
26
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2016, per 30 Juni 2016
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
27
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2016
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
28
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2016, per 30 Juni 2016 Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2016
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
29
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Cresta Zone As At 30/06/2016 Tab le 2.1
in IDR U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Cresta Zone Amount
%
Amount
%
Amount
%
Amount
%
Amount
%
BANDA ACEH
1.1
3,887,973,784,587.20
0.20
4,631,184,023,255.03
0.17
6,475,407,234,598.72
0.21
6,141,601,804,000.44
0.17
308,707,705,986.40
0.04
MEDAN
1.2
39,930,432,753,351.10
2.02
48,019,992,924,050.20
1.74
52,110,368,958,437.30
1.67
63,889,296,581,726.00
1.80
16,924,429,258,172.10
2.33
OTHERS
1.3
39,955,150,550,405.30
2.02
49,698,131,924,414.50
1.80
58,517,015,258,588.10
1.87
73,669,154,188,693.50
2.08
7,107,360,161,794.93
0.98
NORTH SUMATERA
1
83,773,557,088,343.60
4.24
102,349,308,871,720.00
3.71
117,102,791,451,624.00
3.74
143,700,052,574,420.00
4.05
24,340,497,125,953.40
3.35
PADANG
2.1
19,055,410,642,420.70
0.97
27,224,177,532,224.50
0.99
30,371,967,358,753.50
0.97
36,655,158,022,094.80
1.03
4,763,490,870,436.16
0.65
PALEMBANG
2.2
19,002,600,284,678.90
0.96
23,230,068,194,777.00
0.84
21,554,336,242,458.30
0.69
33,798,674,812,124.20
0.95
3,123,401,714,595.80
0.43
OTHERS
2.3
134,587,644,567,246.00
6.82
150,917,658,041,520.00
5.47
201,166,817,295,695.00
6.43
291,161,279,894,249.00
8.21
55,910,532,833,841.20
7.68
SOUTH SUMATERA
2
172,645,655,494,345.00
8.74
201,371,903,768,522.00
7.30
253,093,120,896,907.00
8.09
361,615,112,728,468.00
10.19
63,797,425,418,873.20
8.77
JAKARTA
3.1
400,177,640,620,151.00
20.27
435,498,377,729,793.00
15.79
658,917,880,791,553.00
21.06
603,665,395,916,498.00
17.01
127,948,814,292,811.00
17.59
BANDUNG
3.2
11,047,671,688,987.80
0.56
10,570,455,885,753.00
0.38
11,893,458,933,650.00
0.38
15,986,486,875,449.30
0.45
4,051,668,042,362.95
0.56
OTHERS
3.3
662,621,262,221,902.00
33.56
987,768,369,777,405.00
35.81
1,133,077,727,588,530.00
36.22
978,294,317,135,281.00
27.57
291,510,816,814,857.00
40.07
WEST JAVA
3
1,073,846,574,531,040.00
54.39
1,433,837,203,392,950.00
51.98
1,803,889,067,313,730.00
57.66
1,597,946,199,927,230.00
45.03
423,511,299,150,032.00
58.21
SEMARANG
4.1
7,152,358,175,509.66
0.36
8,898,713,851,285.73
0.32
8,625,538,080,025.90
0.28
13,098,483,886,134.10
0.37
1,895,364,569,546.20
0.26
YOGYAKARTA
4.2
9,305,354,884,895.54
0.47
8,573,422,953,780.61
0.31
14,163,785,910,344.90
0.45
395,664,005,102,035.00
11.15
2,978,693,218,571.78
0.41
OTHERS
4.3
102,787,042,600,585.00
5.21
136,817,917,431,266.00
4.96
151,207,217,056,487.00
4.83
174,512,888,913,458.00
4.92
44,802,121,744,416.20
6.16
CENTRAL JAVA
4
119,244,755,660,990.00
6.04
154,290,054,236,332.00
5.59
173,996,541,046,858.00
5.56
583,275,377,901,628.00
16.44
49,676,179,532,534.20
6.83
SURABAYA
5.1
51,275,273,090,249.70
2.60
134,246,529,078,293.00
4.87
76,850,867,284,379.20
2.46
72,071,237,723,636.00
2.03
17,568,877,420,245.30
2.41
OTHERS
5.2
242,017,361,804,202.00
12.26
233,182,071,594,038.00
8.45
340,158,955,158,059.00
10.87
352,639,211,942,010.00
9.94
62,420,837,529,183.90
8.58
EAST JAVA
5
293,292,634,894,452.00
14.86
367,428,600,672,331.00
13.32
417,009,822,442,438.00
13.33
424,710,449,665,646.00
11.97
79,989,714,949,429.20
10.99
KALIMANTAN
6
101,470,729,177,791.00
5.14
128,384,392,940,167.00
4.65
142,879,365,910,800.00
4.57
158,061,990,536,773.00
4.45
35,559,627,143,738.70
4.89
UJUNG PANDANG
7.1
10,444,854,149,882.30
0.53
14,118,612,393,835.50
0.51
24,311,146,578,168.80
0.78
19,283,668,388,191.90
0.54
3,918,262,910,018.42
0.54
OTHERS
7.2
54,000,807,954,031.10
2.74
39,288,281,762,787.70
1.42
99,234,279,627,988.20
3.17
134,217,142,489,941.00
3.78
12,441,738,251,813.70
1.71
SULAWESI
7
64,445,662,103,913.30
3.26
53,406,894,156,623.20
1.94
123,545,426,206,157.00
3.95
153,500,810,878,133.00
4.33
16,360,001,161,832.10
2.25
OTHER ISLANDS
8
65,589,745,726,182.70
3.32
317,201,596,012,869.00
11.50
96,893,588,579,564.60
3.10
125,612,350,226,111.00
3.54
34,340,741,542,127.20
4.72
1,974,309,314,677,060.00
100.00
2,758,269,954,051,520.00
100.00
3,128,409,723,848,080.00
100.00
3,548,422,344,438,400.00
100.00
727,575,486,024,519.00
100.00
T OT AL
30
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Cresta Zone As at 30 June 2016 (In Billion IDR)
North Sumatera
East Java
South Sumatera
160,000,000.00
400,000,000.00
140,000,000.00
350,000,000.00
120,000,000.00
300,000,000.00
100,000,000.00
250,000,000.00
80,000,000.00
200,000,000.00
60,000,000.00
150,000,000.00
40,000,000.00
100,000,000.00
20,000,000.00
50,000,000.00
450,000,000.00 400,000,000.00 350,000,000.00 300,000,000.00 250,000,000.00 200,000,000.00 150,000,000.00 100,000,000.00 50,000,000.00 -
-
-
DKI & West Java 2,000,000,000.00
DIY & Central Java
500,000,000.00 400,000,000.00
300,000,000.00 200,000,000.00
500,000,000.00
100,000,000.00
-
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
350,000,000.00
180,000,000.00 160,000,000.00 140,000,000.00 120,000,000.00 100,000,000.00 80,000,000.00 60,000,000.00 40,000,000.00 20,000,000.00 -
600,000,000.00
1,000,000,000.00
Other Islands
Kalimantan
700,000,000.00
1,500,000,000.00
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
Sulawesi 180,000,000.00 160,000,000.00 140,000,000.00 120,000,000.00 100,000,000.00 80,000,000.00 60,000,000.00 40,000,000.00 20,000,000.00 -
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
31
300,000,000.00
250,000,000.00 200,000,000.00 150,000,000.00 100,000,000.00
50,000,000.00 UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Occupation As At 30/06/2016 in IDR
Tab le 2.2
U/Y 2012
Occupation
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
U/Y 2016 %
Amount
%
AGRICULTURAL
A
23,543,592,772,030.10
1.19
25,959,872,979,597.60
0.94
22,680,577,973,934.20
0.72
24,272,759,308,636.30
0.68
4,284,400,692,502.40
0.59
COMMERCIAL
C
458,553,032,623,053.00
23.23
997,263,063,430,009.00
36.16
745,326,562,404,427.00
23.82
1,156,994,601,212,960.00
32.61
185,061,294,025,596.00
25.44
INDUSTRIAL
I
1,261,133,480,936,090.00
63.88
1,417,513,943,627,160.00
51.39
1,975,030,012,455,890.00
63.13
2,001,960,758,686,080.00
56.42
442,466,471,907,245.00
60.81
RESIDENTIAL
R
T OT AL
231,079,208,345,890.00
11.70
317,533,074,014,750.00
11.51
385,372,571,013,830.00
12.32
365,194,225,230,728.00
10.29
95,763,319,399,175.90
13.16
1,974,309,314,677,060.00
100.00
2,758,269,954,051,520.00
100.00
3,128,409,723,848,080.00
100.00
3,548,422,344,438,400.00
100.00
727,575,486,024,520.00
100.00
32
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Occupation As at 30 June 2016 ( In Billion IDR )
Industrial
Agricultural 30,000,000.00
2,500,000,000.00
25,000,000.00
2,000,000,000.00
20,000,000.00
1,500,000,000.00
15,000,000.00
1,000,000,000.00 10,000,000.00 500,000,000.00
5,000,000.00
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2016
Commercial
Residential
1,200,000,000.00
450,000,000.00 400,000,000.00
1,000,000,000.00
350,000,000.00
800,000,000.00
300,000,000.00 250,000,000.00
600,000,000.00
200,000,000.00
400,000,000.00
150,000,000.00 100,000,000.00
200,000,000.00
50,000,000.00
-
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012
33
UY 2013
UY 2014
UY 2015
UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Interest As At 30/06/2016 Table 2.3
Interest
In IDR
U/Y 2012 Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
U/Y 2016 %
Amount
%
Building
804,253,454,182,134.00
40.74
1,048,103,719,961,540.00
38.00
1,292,872,858,709,670.00
41.33
1,817,260,998,372,110.00
51.21
311,030,690,785,728.00
42.75
Machinery
395,827,439,843,955.00
20.05
452,114,423,176,479.00
16.39
603,327,688,741,980.00
19.29
632,515,082,207,583.00
17.83
140,214,354,980,716.00
19.27
Others
309,558,014,684,274.00
15.68
474,256,768,018,844.00
17.19
399,655,358,197,548.00
12.78
401,371,613,924,003.00
11.31
110,945,132,728,311.00
15.25
Stock
281,044,029,821,749.00
14.24
337,440,100,164,406.00
12.23
539,847,067,624,635.00
17.26
413,383,614,205,751.00
11.65
93,140,194,609,538.00
12.80
Bussiness Interruption
183,626,376,144,946.00
9.30
446,354,942,730,248.00
16.18
292,706,750,574,244.00
9.36
283,891,035,728,962.00
8.00
72,245,112,920,226.90
9.93
1,974,309,314,677,060.00
100.00
2,758,269,954,051,520.00
100.00
3,128,409,723,848,080.00
100.00
3,548,422,344,438,400.00
100.00
727,575,486,024,520.00
100.00
T OT AL
34
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Interest As at 30 June 2016 ( In Billion IDR )
Building
Stock
2,000,000,000.00 1,800,000,000.00 1,600,000,000.00 1,400,000,000.00 1,200,000,000.00 1,000,000,000.00 800,000,000.00 600,000,000.00 400,000,000.00 200,000,000.00 -
500,000,000.00 450,000,000.00 400,000,000.00 350,000,000.00 300,000,000.00 250,000,000.00 200,000,000.00 150,000,000.00 100,000,000.00 50,000,000.00 UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
Business Interruption
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
Others
Machinery 700,000,000.00
600,000,000.00
600,000,000.00
500,000,000.00
500,000,000.00
400,000,000.00
500,000,000.00 450,000,000.00 400,000,000.00 350,000,000.00 300,000,000.00 250,000,000.00 200,000,000.00 150,000,000.00 100,000,000.00 50,000,000.00 UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
400,000,000.00 300,000,000.00 300,000,000.00
200,000,000.00
200,000,000.00
100,000,000.00
100,000,000.00
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
35
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Province As At 30/06/2016 Table 2.4 In IDR Province
Cresta ID
U/Y 2012 Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
U/Y 2016 %
Amount
%
01. NAD
IDN_AC
8,330,895,104,607.12
0.42
9,115,117,293,870.24
0.33
10,810,796,944,788.80
0.35
14,404,824,282,123.70
0.41
2,133,410,954,207.05
0.29
02. SUMATERA UTARA
IDN_SU
75,442,661,983,736.50
3.82
93,234,191,577,849.50
3.38
106,291,994,506,835.00
3.40
129,295,228,292,296.00
3.64
22,207,086,171,746.30
3.05
03. SUMATERA BARAT
IDN_SB
27,133,363,706,752.40
1.37
37,408,675,643,449.00
1.36
41,844,559,004,614.60
1.34
49,291,429,456,060.70
1.39
6,471,087,738,551.61
0.89
04. RIAU
IDN_RI
33,319,463,443,743.90
1.69
48,616,295,888,536.50
1.76
59,039,144,113,315.80
1.89
130,343,092,784,937.00
3.67
13,800,995,109,011.40
1.90
05. JAMBI
IDN_JA
11,004,536,229,073.80
0.56
11,023,626,175,121.30
0.40
12,135,295,796,438.10
0.39
13,347,780,061,572.20
0.38
1,808,595,641,751.77
0.25
06. SUMATERA SELATAN
IDN_SS
40,908,911,211,970.40
2.07
40,741,056,029,464.90
1.48
50,090,555,053,868.40
1.60
66,870,441,181,208.50
1.88
6,141,582,382,227.57
0.84
07. BENGKULU
IDN_BE
4,460,385,210,968.84
0.23
4,907,450,466,451.64
0.18
5,727,026,773,036.30
0.18
4,836,051,236,717.56
0.14
1,055,065,311,955.32
0.15
08. LAMPUNG
IDN_LA
28,324,556,957,773.60
1.43
26,872,315,851,936.00
0.97
39,153,517,104,913.10
1.25
46,430,449,559,802.80
1.31
15,786,592,179,170.60
2.17
09. KEP BANGKA-BELITUNG
IDN_BB
3,776,611,255,319.56
0.19
4,513,635,596,734.47
0.16
6,140,760,416,290.51
0.20
6,598,027,645,730.98
0.19
709,788,562,531.02
0.10
10. KEPULAUAN RIAU
IDN_KR
23,717,827,478,743.10
1.20
27,288,848,116,828.10
0.99
38,962,262,634,430.30
1.25
43,897,840,802,438.20
1.24
18,023,718,493,673.90
2.48
11. JAKARTA
IDN_JK
400,177,640,620,151.00
20.27
435,498,377,729,793.00
15.79
658,917,880,791,553.00
21.06
603,665,395,916,498.00
17.01
127,948,814,292,811.00
17.59
12. JAWA BARAT
IDN_JB
456,402,985,831,360.00
23.12
716,897,849,502,064.00
25.99
792,019,285,433,894.00
25.32
676,496,161,300,846.00
19.06
196,562,880,018,594.00
27.02
13. JAWA TENGAH
IDN_JT
107,599,540,093,588.00
5.45
142,775,561,062,354.00
5.18
152,245,632,818,042.00
4.87
183,731,200,618,310.00
5.18
45,540,135,508,456.10
6.26
14. DIY
IDN_YO
11,645,215,567,402.70
0.59
11,514,493,173,978.70
0.42
21,750,908,228,816.40
0.70
399,544,177,283,318.00
11.26
4,136,044,024,078.07
0.57
15. JAWA TIMUR
IDN_JI
293,292,634,894,452.00
14.86
367,428,600,672,331.00
13.32
417,009,822,442,438.00
13.33
424,710,449,665,646.00
11.97
79,989,714,949,429.20
10.99
16. BANTEN
IDN_BT
217,265,948,079,530.00
11.00
281,440,976,161,095.00
10.20
352,951,901,088,285.00
11.28
317,784,642,709,884.00
8.96
98,999,604,838,626.60
13.61
17. BALI
IDN_BA
50,307,484,051,839.30
2.55
301,864,798,240,497.00
10.94
74,035,710,292,761.40
2.37
98,088,831,940,924.60
2.76
27,103,787,246,733.00
3.73
18. NUSA TENGGARA BARAT IDN_NB
3,872,366,415,500.33
0.20
4,538,280,637,473.73
0.16
8,214,426,948,563.84
0.26
8,685,469,646,549.46
0.24
2,155,144,951,750.88
0.30
19. NUSA TENGGARA TIMUR
IDN_NT
2,139,957,825,720.15
0.11
1,785,490,948,774.98
0.06
2,570,872,260,581.01
0.08
3,059,676,570,048.89
0.09
472,373,766,401.83
0.06
20. KALIMANTAN BARAT
IDN_KB
6,322,259,558,617.00
0.32
8,017,177,165,884.02
0.29
13,327,127,449,506.20
0.43
11,685,803,975,370.80
0.33
1,506,234,031,634.04
0.21
21. KALIMANTAN TENGAH
IDN_KT
11,800,058,892,551.60
0.60
17,179,626,505,757.70
0.62
23,794,008,903,213.00
0.76
26,982,622,767,472.50
0.76
1,252,718,556,190.84
0.17
22. KALIMANTAN SELATAN
IDN_KS
14,661,265,575,615.70
0.74
37,224,639,834,420.90
1.35
32,840,961,867,321.30
1.05
36,973,230,366,363.30
1.04
10,065,382,790,485.60
1.38
23. KALIMANTAN TIMUR
IDN_KI
68,687,145,151,006.50
3.48
65,962,949,434,104.60
2.39
72,922,396,690,759.90
2.33
81,614,202,757,818.50
2.30
21,841,821,801,356.50
3.00
24. SULAWESI UTARA
IDN_SA
11,251,956,214,549.50
0.57
16,537,718,338,746.10
0.60
15,997,680,972,442.90
0.51
18,179,266,869,301.80
0.51
3,452,501,472,827.63
0.47
25. SULAWESI TENGAH
IDN_ST
2,137,386,276,386.25
0.11
4,299,959,759,307.53
0.16
3,848,534,873,989.42
0.12
8,240,704,815,819.12
0.23
1,811,404,691,538.95
0.25
26. SULAWESI SELATAN
IDN_SN
26,808,326,792,795.70
1.36
27,614,123,309,509.10
1.00
93,647,146,280,532.70
2.99
104,737,113,089,608.00
2.95
9,242,954,434,661.20
1.27
27. SULAWESI TENGGARA
IDN_SG
9,055,150,591,377.57
0.46
1,532,900,623,593.63
0.06
4,278,354,002,317.50
0.14
16,500,053,744,979.20
0.46
1,089,570,149,491.65
0.15
28. GORONTALO
IDN_GO
14,073,410,601,299.70
0.71
2,135,292,082,312.58
0.08
2,742,222,995,389.40
0.09
2,672,213,830,619.12
0.08
365,491,481,968.07
0.05
29. SULAWESI BARAT
IDN_SR
1,119,431,627,504.72
0.06
1,286,900,043,154.22
0.05
3,031,487,081,485.09
0.10
3,171,458,527,805.18
0.09
398,078,931,344.58
0.05
30. MALUKU
IDN_MA
1,327,598,149,671.43
0.07
1,909,832,567,995.64
0.07
2,560,734,786,547.66
0.08
2,832,110,722,344.72
0.08
1,013,321,838,624.36
0.14
31. MALUKU UTARA
IDN_MU
805,164,815,352.22
0.04
576,028,585,138.84
0.02
996,579,046,347.49
0.03
1,515,252,075,112.12
0.04
330,283,738,836.76
0.05
32. PAPUA BARAT
IDN_PB
3,465,126,538,532.94
0.18
2,613,581,243,092.17
0.09
2,880,973,709,319.36
0.09
3,929,492,625,062.38
0.11
580,356,611,847.23
0.08
33. PAPUA
IDN_PA
3,672,047,929,566.26
0.19
3,913,583,789,896.27
0.14
5,634,291,535,443.88
0.18
7,501,516,646,068.73
0.21
2,685,473,387,933.19
0.37
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
-5,129,000,000.00
0.00
806,130,669,747.37
0.02
893,469,964,071.76
0.12
1,974,309,314,677,060.00
100.00
2,758,269,954,051,520.00
100.00
3,128,409,723,848,080.00
100.00
3,548,422,344,438,410.00
100.00
727,575,486,024,519.00
100.00
T OT AL
36
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Class Construction As At 30/06/2016 Table 2.5
Class Construction
In IDR
U/Y 2012 Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
U/Y 2016 %
Amount
%
Com: Steel, Wood, RC≤9 s toreys
1,739,527,939,566,750.00
88.11
2,541,715,092,338,810.00
92.15
2,808,134,900,632,280.00
89.76
3,146,310,687,109,130.00
88.67
641,964,886,389,020.00
88.23
Com: Steel, Wood, RC> 9 s toreys
194,626,317,263,428.00
9.86
176,216,578,520,602.00
6.39
263,785,998,439,370.00
8.43
347,120,974,293,335.00
9.78
66,173,824,453,029.50
9.10
5,130,184,640,992.94
0.26
4,717,455,319,853.24
0.17
1,469,117,485,416.91
0.05
2,481,945,871,472.95
0.07
26,620,640,235.00
0.00
34,953,829,564,810.70
1.77
35,581,547,742,857.50
1.29
54,905,503,646,963.20
1.76
52,470,272,783,559.20
1.48
19,398,659,642,234.60
2.67
71,043,641,075.00
0.00
39,280,129,388.00
0.00
114,203,644,055.00
0.00
38,464,380,910.00
0.00
11,494,900,000.00
0.00
1,974,309,314,677,060.00
100.00
2,758,269,954,051,520.00
100.00
3,128,409,723,848,080.00
100.00
3,548,422,344,438,400.00
100.00
727,575,486,024,519.00
100.00
Com: Others DW: Steel, Wood, RC up to 3 sDW: toreys Others T OT AL
DEFINISI Konstruksi Commercial Com: Steel, Wood, RC ≤ 9 Com: Steel, Wood, RC > 9 Com: Others
Objek pertanggungan dengan kode okupasi selain rumah tinggal (Kode Okupasi selain 2976) Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai sampai dengan 9 lantai Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai lebih dari 9 lantai Konstruksi bangunan tanpa menggunakan rangka Baja, Kayu, dan Beton Bertulang
Dwelling House DW: Steel, Wood, RC DW: Others
Objek pertanggungan rumah tinggal dengan kode okupasi 2976 (Semua kelas konstruksi) Konstruksi rumah tinggal yang menggunakan rangka Baja, Kayu, Beton Bertulang Konstruksi rumah tinggal tanpa menggunakan rangka Baja, Kayu,dan Beton Bertulang
37
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Aggregate Exposure By Class Construction As at 30 June 2016 (in Billion IDR)
Com: Steel, Wood, RC≤ 9 storeys
Com: Others
3,500,000,000.00
6,000,000.00
3,000,000,000.00
5,000,000.00
2,500,000,000.00
4,000,000.00
2,000,000,000.00
3,000,000.00
1,500,000,000.00
DW: Others
2,000,000.00
1,000,000,000.00
120,000.00
1,000,000.00
500,000,000.00 -
100,000.00
-
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
80,000.00
60,000.00
Com: Steel, Wood, RC> 9 storeys 400,000,000.00
DW: Steel, Wood, RC up to 3 storeys
40,000.00
60,000,000.00
350,000,000.00
20,000.00
50,000,000.00
300,000,000.00
-
40,000,000.00
250,000,000.00 200,000,000.00
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
30,000,000.00
150,000,000.00
20,000,000.00
100,000,000.00 10,000,000.00
50,000,000.00
-
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012
UY 2013
38
UY 2014
UY 2015
UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Cresta Zone As At 30/06/2016 Tab el 3.1
dalam Rupiah U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Cresta Zone Jumlah
%
Jumlah
%
Jumlah
%
Jumlah
%
Jumlah
%
BANDA ACEH
1.1
7,358,293,470.29
0.27
8,793,701,049.39
0.19
13,175,727,569.19
0.26
11,785,599,285.02
0.23
582,199,018.41
0.06
MEDAN
1.2
49,827,911,349.22
1.83
65,223,188,467.82
1.44
72,239,187,422.85
1.45
97,225,437,051.47
1.87
24,267,967,170.29
2.62
OTHERS
1.3
52,403,810,973.16
1.93
76,015,361,701.04
1.68
94,567,523,054.24
1.90
126,734,201,855.26
2.44
11,551,033,182.44
1.25
NORTH SUMATERA
1
109,590,015,792.67
4.03
150,032,251,218.25
3.31
179,982,438,046.28
3.61
235,745,238,191.75
4.55
36,401,199,371.14
3.93
PADANG
2.1
35,946,417,129.86
1.32
52,486,316,668.76
1.16
58,718,139,431.00
1.18
70,819,531,809.72
1.37
8,736,272,197.04
0.94
PALEMBANG
2.2
17,787,082,345.65
0.65
24,543,573,931.00
0.54
23,252,717,000.77
0.47
36,572,926,437.13
0.71
3,150,570,456.83
0.34
OTHERS
2.3
156,352,267,409.20
5.75
195,095,364,770.60
4.31
264,930,167,745.64
5.32
407,664,855,919.00
7.86
65,113,224,566.56
7.04
SOUTH SUMATERA
2
210,085,766,884.71
7.72
272,125,255,370.36
6.01
346,901,024,177.41
6.96
515,057,314,165.85
9.93
77,000,067,220.43
8.32
JAKARTA
3.1
600,168,864,300.49
22.05
701,981,021,509.03
15.50
1,073,263,352,012.98
21.54
951,905,134,288.47
18.35
186,487,644,888.00
20.16
BANDUNG
3.2
16,558,379,845.44
0.61
16,529,374,668.67
0.36
19,254,064,602.35
0.39
28,163,366,145.05
0.54
7,670,076,939.60
0.83
OTHERS
3.3
967,810,413,315.05
35.56
1,693,953,972,756.56
37.40
2,013,038,160,095.69
40.41
1,467,153,062,779.34
28.29
373,233,139,047.43
40.34
WEST JAVA
3
1,584,537,657,460.98
58.23
2,412,464,368,934.26
53.26
3,105,555,576,711.02
62.33
2,447,221,563,212.86
47.19
567,390,860,875.03
61.32
SEMARANG
4.1
8,914,059,462.70
0.33
11,848,913,643.96
0.26
12,202,049,078.47
0.24
15,651,806,441.84
0.30
1,944,263,732.23
0.21
YOGYAKARTA
4.2
14,164,989,798.35
0.52
13,359,528,097.89
0.29
21,779,543,027.53
0.44
674,987,543,541.51
13.01
4,247,908,254.61
0.46
OTHERS
4.3
128,804,438,779.71
4.73
186,340,867,155.20
4.11
215,485,150,196.70
4.33
234,935,854,063.27
4.53
62,541,316,916.86
6.76
CENTRAL JAVA
4
151,883,488,040.76
5.58
211,549,308,897.05
4.67
249,466,742,302.70
5.01
925,575,204,046.62
17.85
68,733,488,903.70
7.43
SURABAYA
5.1
65,676,958,636.45
2.41
220,165,202,017.78
4.86
106,515,986,624.73
2.14
85,971,069,109.68
1.66
17,918,094,212.23
1.94
OTHERS
5.2
314,183,075,268.54
11.54
342,468,451,316.90
7.56
498,107,485,090.33
10.00
420,043,509,708.71
8.10
62,484,450,462.93
6.75
EAST JAVA
5
379,860,033,904.99
13.96
562,633,653,334.68
12.42
604,623,471,715.06
12.14
506,014,578,818.39
9.76
80,402,544,675.16
8.69
KALIMANTAN
6
93,906,401,358.81
3.45
133,815,627,170.69
2.95
148,586,792,650.71
2.98
142,758,067,473.81
2.75
26,711,781,281.92
2.89
UJUNG PANDANG
7.1
9,998,687,306.13
0.37
14,247,083,505.40
0.31
28,032,235,030.75
0.56
17,703,152,061.96
0.34
3,369,143,477.84
0.36
OTHERS
7.2
82,776,302,886.72
3.04
63,921,593,589.15
1.41
157,425,936,082.13
3.16
199,208,722,783.98
3.84
16,742,850,495.65
1.81
SULAWESI
7
92,774,990,192.85
3.41
78,168,677,094.55
1.73
185,458,171,112.88
3.72
216,911,874,845.94
4.18
20,111,993,973.49
2.17
OTHER ISLANDS
8
98,763,281,538.96
3.63
708,806,799,296.84
15.65
161,503,229,586.14
3.24
196,969,963,920.42
3.80
48,483,383,984.82
5.24
2,721,401,635,174.73
100.00
4,529,595,941,316.68
100.00
4,982,077,446,302.20
100.00
5,186,253,804,675.64
100.00
925,235,320,285.69
100.00
J UM L A H
39
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Cresta Zone As at 30 June 2016 (in Billion IDR)
West Java
South Sumatera
North Sumatera 250,000.00
600,000.00
200,000.00
500,000.00 400,000.00
150,000.00
300,000.00
100,000.00
200,000.00
50,000.00
100,000.00 -
-
600,000.00 400,000.00
200,000.00 UY 2013
UY 2014
UY 2015
UY 2012
UY 2016
250,000.00
200,000.00
UY 2013
UY 2014
UY 2015
UY 2016
Other Islands 800,000.00
200,000.00
150,000.00
600,000.00
150,000.00
100,000.00
400,000.00
100,000.00
50,000.00
200,000.00
50,000.00
-
-
UY 2012UY 2013UY 2014UY 2015UY 2016
800,000.00
Sulawesi
Kalimantan
East Java 700,000.00 600,000.00 500,000.00 400,000.00 300,000.00 200,000.00 100,000.00 -
1,000,000.00
UY 2012
UY 2012UY 2013UY 2014UY 2015UY 2016
UY 2012UY 2013UY 2014UY 2015UY 2016
Central Java
3,500,000.00 3,000,000.00 2,500,000.00 2,000,000.00 1,500,000.00 1,000,000.00 500,000.00 -
UY 2012UY 2013UY 2014UY 2015UY 2016
UY 2012UY 2013UY 2014UY 2015UY 2016
40
UY 2012UY 2013UY 2014UY 2015UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Occupation As At 30/06/2016 Tab el 3.2
dalam Rupiah U/Y 2012
Okupasi
Jumlah
U/Y 2014
U/Y 2013 %
Jumlah
%
Jumlah
U/Y 2015 %
Jumlah
U/Y 2016 %
Jumlah
%
AGRIKULTURAL
A
29,419,229,652.86
1.08
35,250,816,165.82
0.78
29,149,815,450.64
0.59
29,683,728,427.87
0.57
5,495,439,851.01
0.59
KOMERSIAL
C
658,376,861,883.61
24.19
1,811,968,360,691.29
40.00
1,118,227,459,156.76
22.45
1,795,033,569,542.69
34.61
242,709,631,265.67
26.23
INDUSTRIAL
I
1,686,073,034,503.53
61.96
2,207,809,139,946.27
48.74
3,219,326,810,662.98
64.62
2,816,715,072,071.75
54.31
541,797,006,182.77
58.56
RESIDENSIAL
R
347,532,509,134.70
12.77
474,567,624,513.30
10.48
615,373,361,031.83
12.35
544,821,434,633.33
10.51
135,233,242,986.23
14.62
2,721,401,635,174.70
100.00
4,529,595,941,316.68
100.00
4,982,077,446,302.21
100.00
5,186,253,804,675.64
100.00
925,235,320,285.68
100.00
J UM L A H
41
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Occupation As at 30 June 2016 ( In Billion IDR )
Agricultural
Industrial
40,000.00
3,500,000.00
35,000.00
3,000,000.00
30,000.00
2,500,000.00
25,000.00
2,000,000.00
20,000.00 1,500,000.00
15,000.00 10,000.00
1,000,000.00
5,000.00
500,000.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
Commercial
UY 2014
UY 2015
UY 2016
UY 2015
UY 2016
Residential
2,000,000.00
700,000.00
1,800,000.00
600,000.00
1,600,000.00 1,400,000.00
500,000.00
1,200,000.00
400,000.00
1,000,000.00
2010
300,000.00
800,000.00
600,000.00
UY 2013
2010
200,000.00
400,000.00
100,000.00
200,000.00 -
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
42
UY 2013
UY 2014
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Interest As At 30/06/2016 Tab el 3.3
dalam Rupiah Okupasi
U/Y 2012 Jumlah
Building Machinery Others Stock Bussiness Interruption J UM L A H
U/Y 2014
U/Y 2013 %
Jumlah
%
Jumlah
U/Y 2015 %
Jumlah
U/Y 2016 %
Jumlah
%
1,110,027,655,907.59
40.79
1,631,981,512,004.27
36.03
2,041,387,242,051.95
40.97
2,755,055,243,634.48
53.12
404,535,416,133.56
43.72
540,320,539,481.35
19.85
694,821,496,804.37
15.34
953,194,517,088.02
19.13
894,039,144,353.14
17.24
172,362,113,448.18
18.63
452,829,438,466.93
16.64
790,160,534,480.71
17.44
616,273,457,511.43
12.37
569,743,264,033.66
10.99
137,982,254,373.73
14.91
377,163,988,249.75
13.86
509,522,847,757.30
11.25
892,474,064,327.38
17.91
562,832,342,606.76
10.85
118,107,140,015.11
12.77
241,060,013,069.09
8.86
903,109,550,270.02
19.94
478,748,165,323.42
9.61
404,583,810,047.60
7.80
92,248,396,315.09
9.97
2,721,401,635,174.71
100.00
4,529,595,941,316.67
100.00
4,982,077,446,302.20
100.00
5,186,253,804,675.64
100.00
925,235,320,285.67
100.00
43
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Interest As at 30 June 2016 ( In Billion IDR )
Building
Others
3,000,000.00
900,000.00 800,000.00
2,500,000.00
700,000.00
2,000,000.00
600,000.00 500,000.00
1,500,000.00
400,000.00
1,000,000.00
Business Interruption
300,000.00 1,000,000.00
200,000.00
500,000.00
900,000.00
100,000.00
-
800,000.00
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
700,000.00 600,000.00 500,000.00
Stock
Machinery 1,200,000.00
1,000,000.00
400,000.00
1,000,000.00
300,000.00
900,000.00
200,000.00
800,000.00
100,000.00 -
700,000.00
800,000.00
UY 2012
600,000.00
UY 2013
UY 2014
UY 2015
UY 2016
500,000.00
600,000.00
400,000.00 400,000.00
300,000.00 200,000.00
200,000.00
100,000.00 -
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
UY 2013
44
UY 2014
UY 2015
UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Province As At 30/06/2016 Tabel 3.4 dalam Rupiah Provinsi
Cresta ID
U/Y 2012 Jumlah
U/Y 2013 %
U/Y 2014
Jumlah
%
Jumlah
U/Y 2015 %
Jumlah
U/Y 2016 %
Jumlah
%
01. NAD
IDN_AC
12,528,481,214.65
0.46
16,248,179,341.27
0.36
21,156,227,723.45
0.42
28,542,465,121.82
0.55
3,831,187,386.32
0.41
02. SUMATERA UTARA
IDN_SU
97,061,534,578.02
3.57
133,784,071,876.98
2.95
158,826,210,322.83
3.19
207,202,773,069.92
4.00
32,570,011,984.82
3.52
03. SUMATERA BARAT
IDN_SB
48,783,925,164.28
1.79
71,374,768,387.71
1.58
80,569,034,418.57
1.62
96,539,586,683.86
1.86
11,817,051,639.45
1.28
04. RIAU
IDN_RI
35,299,197,912.01
1.30
56,970,960,860.70
1.26
68,237,741,754.51
1.37
187,928,221,808.09
3.62
16,797,809,602.46
1.82
05. JAMBI
IDN_JA
10,915,221,747.41
0.40
12,503,224,385.16
0.28
14,037,376,432.43
0.28
16,218,024,920.25
0.31
2,105,444,234.85
0.23
06. SUMATERA SELATAN
IDN_SS
42,667,530,496.39
1.57
47,956,576,539.54
1.06
63,016,691,486.06
1.26
83,663,567,291.63
1.61
7,477,297,995.23
0.81
07. BENGKULU
IDN_BE
8,307,289,514.39
0.31
9,919,463,583.07
0.22
11,700,354,562.11
0.23
9,162,242,772.88
0.18
1,921,037,712.70
0.21
08. LAMPUNG
IDN_LA
40,036,126,531.07
1.47
41,048,588,970.66
0.91
61,285,434,048.68
1.23
72,534,991,279.11
1.40
22,600,880,292.26
2.44
09. KEP BANGKA-BELITUNG
IDN_BB
3,403,314,549.65
0.13
4,388,908,764.44
0.10
6,015,313,432.53
0.12
5,994,802,745.37
0.12
594,565,228.90
0.06
10. KEPULAUAN RIAU
IDN_KR
20,673,160,969.51
0.76
27,962,763,879.10
0.62
42,039,078,042.52
0.84
43,015,876,664.66
0.83
13,685,980,514.59
1.48
11. JAKARTA
IDN_JK
600,168,864,300.49
22.05
701,981,021,509.03
15.50
1,073,263,352,012.98
21.54
951,905,134,288.47
18.35
186,487,644,888.00
20.16
12. JAWA BARAT
IDN_JB
665,798,295,764.90
24.47
1,231,624,342,472.46
27.19
1,405,999,067,647.37
28.22
984,399,687,150.38
18.98
240,157,613,802.86
25.96
13. JAWA TENGAH
IDN_JT
134,205,061,880.52
4.93
193,688,843,537.58
4.28
214,419,805,376.80
4.30
244,132,350,852.87
4.71
62,696,634,848.22
6.78
14. DIY
IDN_YO
17,678,426,160.24
0.65
17,860,465,359.47
0.39
35,046,936,925.90
0.70
681,442,853,193.74
13.14
6,036,854,055.48
0.65
15. JAWA TIMUR
IDN_JI
379,860,033,904.99
13.96
562,633,653,334.69
12.42
604,623,471,715.06
12.14
506,014,578,818.40
9.76
80,402,544,675.16
8.69
16. BANTEN
IDN_BT
318,570,497,395.58
11.71
478,859,004,952.77
10.57
626,293,157,050.67
12.57
510,916,741,774.01
9.85
140,745,602,184.17
15.21
17. BALI
IDN_BA
73,264,139,805.44
2.69
681,203,353,620.28
15.04
120,402,376,442.43
2.42
148,449,146,084.18
2.86
37,852,667,678.63
4.09
18. NUSA TENGGARA BARAT IDN_NB
7,167,883,678.98
0.26
8,855,521,003.67
0.20
15,050,397,851.28
0.30
16,048,076,661.30
0.31
3,105,169,636.41
0.34
19. NUSA TENGGARA TIMUR
IDN_NT
3,302,437,014.52
0.12
2,885,273,869.13
0.06
4,312,594,404.18
0.09
4,964,288,616.87
0.10
654,835,366.90
0.07
20. KALIMANTAN BARAT
IDN_KB
5,638,300,533.46
0.21
7,800,778,346.28
0.17
13,179,338,784.00
0.26
9,267,288,914.18
0.18
1,134,392,750.41
0.12
21. KALIMANTAN TENGAH
IDN_KT
10,685,751,241.15
0.39
17,820,732,332.84
0.39
24,675,940,659.00
0.50
24,492,565,629.36
0.47
940,734,710.29
0.10
22. KALIMANTAN SELATAN
IDN_KS
13,364,569,692.20
0.49
37,603,654,824.48
0.83
32,631,754,854.45
0.65
32,556,905,158.27
0.63
7,505,232,203.19
0.81
23. KALIMANTAN TIMUR
IDN_KI
64,217,779,892.00
2.36
70,590,461,667.10
1.56
78,104,630,903.26
1.57
75,751,544,447.42
1.46
16,461,672,334.53
1.78
24. SULAWESI UTARA
IDN_SA
21,150,115,186.79
0.78
34,254,606,338.33
0.76
32,968,981,537.61
0.66
34,008,300,664.92
0.66
5,416,574,740.77
0.59
25. SULAWESI TENGAH
IDN_ST
3,376,340,442.68
0.12
7,058,167,480.59
0.16
6,429,170,184.65
0.13
15,015,104,992.32
0.29
3,305,242,889.70
0.36
26. SULAWESI SELATAN
IDN_SN
27,825,514,830.73
1.02
28,522,763,153.53
0.63
131,813,160,424.80
2.65
141,617,493,232.18
2.73
8,403,291,071.23
0.91
27. SULAWESI TENGGARA
IDN_SG
10,830,303,412.93
0.40
2,298,616,593.95
0.05
4,320,391,706.58
0.09
16,726,588,134.77
0.32
1,723,771,243.27
0.19
28. GORONTALO
IDN_GO
27,916,176,981.64
1.03
4,107,043,397.25
0.09
5,369,868,537.19
0.11
5,129,714,175.05
0.10
688,365,873.30
0.07
29. SULAWESI BARAT
IDN_SR
1,676,539,338.07
0.06
1,927,480,130.89
0.04
4,556,598,722.04
0.09
4,414,673,646.70
0.09
574,748,155.23
0.06
30. MALUKU
IDN_MA
2,445,393,617.83
0.09
3,618,588,260.22
0.08
4,973,074,125.06
0.10
5,547,441,227.49
0.11
1,909,376,371.06
0.21
31. MALUKU UTARA
IDN_MU
1,423,563,178.93
0.05
1,137,243,104.75
0.03
1,945,383,223.54
0.04
2,861,965,721.94
0.06
565,425,207.12
0.06
32. PAPUA BARAT
IDN_PB
5,170,703,031.95
0.19
4,221,984,574.84
0.09
4,735,485,860.43
0.10
6,021,716,037.97
0.12
882,494,605.51
0.10
33. PAPUA
IDN_PA
5,989,161,211.31
0.22
6,884,834,863.94
0.15
10,083,917,679.23
0.20
13,077,329,570.67
0.25
3,513,415,119.19
0.38
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
-4,872,550.00
0.00
689,763,324.58
0.01
669,749,283.49
0.07
J UM L A H
2,721,401,635,174.71 100.00
4,529,595,941,316.70 100.00
45
4,982,077,446,302.20 100.00
5,186,253,804,675.63 100.00
925,235,320,285.70 100.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Class Construction As At 30/06/2016 Tab el 3.5
Kelas Konstruksi
dalam Rupiah U/Y 2012 Jumlah
U/Y 2014
U/Y 2013 %
Jumlah
%
U/Y 2015
Jumlah
%
Jumlah
U/Y 2016 %
Jumlah
%
Com:Steel,Wood,RC≤9
2,356,558,868,485.26
86.59
4,180,746,563,901.94
92.30
4,442,446,084,211.43
89.17
4,547,205,075,140.72
87.68
802,919,376,481.46
86.78
Com: Steel, Wood, RC > 9
310,848,411,244.27
11.42
293,186,857,333.17
6.47
461,817,327,670.53
9.27
557,782,609,595.73
10.76
97,080,632,962.53
10.49
7,720,910,121.39
0.28
7,779,167,652.80
0.17
3,131,937,310.41
0.06
10,211,578,770.65
0.20
75,794,803.90
0.01
46,107,110,228.00
1.69
47,776,638,989.11
1.05
74,309,683,061.62
1.49
70,946,915,666.08
1.37
25,132,699,577.79
2.72
166,335,095.78
0.01
106,713,439.67
0.00
372,414,048.23
0.01
107,625,502.46
0.00
26,816,460.00
0.00
2,721,401,635,174.70
100.00
4,529,595,941,316.69
100.00
4,982,077,446,302.22
100.00
5,186,253,804,675.64
100.00
925,235,320,285.68
100.00
Com: Others DW: Steel, Wood, RC up to 3 s toreys DW: Others J UM L A H
DEFINISI Konstruksi Commercial Com: Steel, Wood, RC ≤ 9 Com: Steel, Wood, RC > 9 Com: Others
Objek pertanggungan dengan kode okupasi selain rumah tinggal (Kode Okupasi selain 2976) Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai sampai dengan 9 lantai Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai lebih dari 9 lantai Konstruksi bangunan tanpa menggunakan rangka Baja, Kayu, dan Beton Bertulang
Dwelling House DW: Steel, Wood, RC DW: Others
Objek pertanggungan rumah tinggal dengan kode okupasi 2976 (Semua kelas konstruksi) Konstruksi rumah tinggal yang menggunakan rangka Baja, Kayu, Beton Bertulang Konstruksi rumah tinggal tanpa menggunakan rangka Baja, Kayu,dan Beton Bertulang
46
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
National Gross Premium By Class Construction As at 30 June 2016 (in Billion IDR)
Com: Others
Com: Steel, Wood, RC ≤ 9 12,000.00
5,000,000.00 4,500,000.00
10,000.00
4,000,000.00 3,500,000.00
8,000.00
3,000,000.00
6,000.00
2,500,000.00
2,000,000.00
DW: Others
4,000.00
1,500,000.00 1,000,000.00
400.00
2,000.00
350.00
500,000.00 -
-
UY 2012
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2013
UY 2014
UY 2015
UY 2016
300.00 250.00
200.00
Com: Steel, Wood, RC > 9
DW: Steel, Wood, RC up to 3 storeys
600,000.00
80,000.00
500,000.00
70,000.00
150.00
100.00 50.00
60,000.00 400,000.00
UY 2012
50,000.00
300,000.00
40,000.00
200,000.00
30,000.00
UY 2013
UY 2014
UY 2015
UY 2016
20,000.00
100,000.00
10,000.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
UY 2013
47
UY 2014
UY 2015
UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number Of Risk By Cresta Zone As At 30/06/2016 Tabel 4.1
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
Cresta Zone Jumlah
%
Jumlah
%
Jumlah
%
Jumlah
%
Jumlah
%
BANDA ACEH
1.1
591
0.34%
619
0.33%
629
0.27%
718
0.32%
177
0.33%
MEDAN
1.2
6,014
3.46%
6,621
3.49%
7,670
3.26%
7,725
3.42%
2,197
4.06%
OTHERS
1.3
4,665
2.68%
4,058
2.14%
5,713
2.43%
5,079
2.25%
1,106
2.04%
NORTH SUMATERA
1
11,270
6.48%
11,298
5.96%
14,012
5.96%
13,522
5.98%
3,480
6.42%
PADANG
2.1
10,881
6.26%
10,870
5.74%
13,038
5.54%
12,553
5.55%
4,008
7.40%
PALEMBANG
2.2
1,536
0.88%
1,879
0.99%
2,003
0.85%
2,271
1.00%
474
0.88%
OTHERS
2.3
17,450 10.04%
18,026
9.51%
22,947
9.75%
22,157
9.80%
6,119 11.30%
SOUTH SUMATERA
2
29,867 17.18%
30,775 16.24%
37,988 16.15%
36,981 16.36%
10,601 19.57%
JAKARTA
3.1
36,284 20.87%
47,690 25.16%
56,596 24.06%
51,072 22.59%
11,255 20.78%
BANDUNG
3.2
OTHERS
3.3
36,740 21.14%
38,938 20.55%
49,958 21.23%
50,174 22.19%
11,698 21.59%
WEST JAVA
3
75,015 43.15%
88,759 46.83%
108,794 46.24%
103,916 45.97%
23,676 43.71%
SEMARANG
4.1
810
0.47%
921
0.49%
1,225
0.52%
1,132
0.50%
261
0.48%
YOGYAKARTA
4.2
2,314
1.33%
2,194
1.16%
2,673
1.14%
2,769
1.22%
675
1.25%
OTHERS
4.3
10,375
5.97%
10,553
5.57%
15,389
6.54%
15,596
6.90%
3,377
6.23%
CENTRAL JAVA
4
13,499
7.77%
13,668
7.21%
19,287
8.20%
19,497
8.62%
4,313
7.96%
SURABAYA
5.1
6,197
3.57%
6,256
3.30%
8,730
3.71%
6,730
2.98%
1,486
2.74%
OTHERS
5.2
7,852
4.52%
8,456
4.46%
12,371
5.26%
11,672
5.16%
2,561
4.73%
EAST JAVA
5
14,049
8.08%
14,712
7.76%
21,101
8.97%
18,402
8.14%
4,047
7.47%
KALIMANTAN
6
7,644
4.40%
7,069
3.73%
8,043
3.42%
7,460
3.30%
1,217
2.25%
UJUNG PANDANG
7.1
1,916
1.10%
2,059
1.09%
2,469
1.05%
2,846
1.26%
501
0.92%
OTHERS
7.2
6,228
3.58%
6,272
3.31%
6,572
2.79%
6,578
2.91%
1,385
2.56%
SULAWESI
7
8,144
4.69%
8,331
4.40%
9,041
3.84%
9,424
4.17%
1,886
3.48%
OTHER ISLANDS
8
14,339
8.25%
14,912
7.87%
17,009
7.23%
16,867
7.46%
4,951
9.14%
173,827
100%
189,524
100%
235,275
100%
226,069
100%
54,171
100%
J UMLAH
1,991
1.15%
2,131
1.12%
48
2,240
0.95%
2,670
1.18%
723
1.33%
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number of Risk By Cresta Zone As at 30 June 2016
North Sumatera 15,000.00
South Sumatera
West Java
40,000.00 30,000.00
10,000.00
100,000.00
20,000.00
UY 2012UY 2013UY 2014UY 2015UY 2016
Kalimantan
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
Sulawesi
10,000.00
10,000.00
20,000.00
8,000.00
8,000.00
15,000.00
6,000.00
6,000.00
10,000.00
4,000.00
4,000.00
5,000.00
2,000.00
2,000.00
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
25,000.00
-
5,000.00
20,000.00
-
East Java
10,000.00
40,000.00
10,000.00
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
15,000.00
60,000.00
5,000.00
-
25,000.00
80,000.00
20,000.00
Central Java
120,000.00
15,000.00 10,000.00 5,000.00
UY 2012UY 2013UY 2014UY 2015UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
49
Other Islands 20,000.00
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number Of Risk By Occupation As At 30/06/2016 Tab el 4.2
Okupasi
U/Y 2012
%
U/Y 2013
%
U/Y 2014
%
U/Y 2015
%
U/Y 2016
%
AGRIKULTURAL
A
420
0.24
535
0.28
753
0.32
390
0.17
189
0.35
KOMERSIAL
C
94,595
54.42
100,683
53.12
124,558
52.94
123,845
54.78
25,085
46.31
INDUSTRIAL
I
17,199
9.89
18,433
9.73
18,903
8.03
17,165
7.59
4,236
7.82
RESIDENSIAL
R
J UMLAH
61,613
35.45
69,873
36.87
91,061
38.70
84,669
37.45
24,661
45.52
173,827
100.00
189,524
100.00
235,275
100.00
226,069
100.00
54,171
100.00
50
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number of Risk By Occupation As at 30 June 2016
Industrial
Agricultural 20,000.00 18,000.00 16,000.00 14,000.00 12,000.00 10,000.00 8,000.00 6,000.00 4,000.00 2,000.00 -
800.00 700.00
600.00 500.00 400.00 300.00 200.00 100.00
UY 2012
UY 2013
UY 2014
UY 2015
UY 2012
UY 2016
Commercial
UY 2013
UY 2014
UY 2015
UY 2016
UY 2015
UY 2016
Residential
140,000.00
100,000.00 90,000.00
120,000.00
80,000.00 100,000.00
70,000.00
80,000.00
60,000.00 50,000.00
60,000.00
40,000.00
30,000.00
40,000.00
20,000.00
20,000.00
10,000.00
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
51
UY 2013
UY 2014
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number Of Risk By Class Construction As At 30/06/2016 Tab el 4.3
Kelas Konstruksi
U/Y 2012
%
U/Y 2013
%
U/Y 2014
%
U/Y 2015
%
U/Y 2016
%
Com:Steel,Wood,RC≤9
122,066
70.22
139,851
73.79
162,962
69.26
170,303
75.33
38,104
70.34
Com: Steel, Wood, RC > 9
5,614
3.23
5,220
2.75
22,185
9.43
10,116
4.47
1,829
3.38
Com: Others
10,410
5.99
10,115
5.34
1,657
0.70
907
0.40
12
0.02
DW: Steel, Wood, RC up to 3 s toreys
35,562
20.46
34,242
18.07
48,173
20.48
44,650
19.75
14,212
26.24
175
0.10
96
0.05
298
0.13
93
0.04
14
0.03
173,827
100.00
189,524
100.00
235,275
100.00
226,069
100.00
54,171
100.00
DW: Others
J UMLAH
DEFINISI Konstruksi Commercial Com: Steel, Wood, RC ≤ 9 Com: Steel, Wood, RC > 9 Com: Others
Objek pertanggungan dengan kode okupasi selain rumah tinggal (Kode Okupasi selain 2976) Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai sampai dengan 9 lantai Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai lebih dari 9 lantai Konstruksi bangunan tanpa menggunakan rangka Baja, Kayu, dan Beton Bertulang
Dwelling House DW: Steel, Wood, RC DW: Others
Objek pertanggungan rumah tinggal dengan kode okupasi 2976 (Semua kelas konstruksi) Konstruksi rumah tinggal yang menggunakan rangka Baja, Kayu, Beton Bertulang Konstruksi rumah tinggal tanpa menggunakan rangka Baja, Kayu,dan Beton Bertulang
52
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number of Risk By Class Construction As at 30 June 2016
Com: Steel, Wood, RC ≤ 9 200000
Com: Others 12000 10000
150000
8000
100000
6000
DW: Others
4000
50000
2000
0
0 UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
DW: Steel, Wood, RC up to 3 storeys
Com: Steel, Wood, RC > 9 25000
60000
20000
50000
UY 2012
40000
15000
350 300 250 200 150 100 50 0
UY 2013
UY 2014
UY 2015
UY 2016
30000
10000
20000
5000
10000
0
0 UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
53
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Number of Risk By Province As At 30/06/2016 Tabel 4.4
Provinsi
Cresta ID
U/Y 2012 Jumlah
U/Y 2013 %
Jumlah
U/Y 2014 %
Jumlah
U/Y 2015 %
Jumlah
U/Y 2016 %
Jumlah
%
01. NAD
IDN_AC
1,934.00
1.11
1,652.00
0.87
1,986.00
0.84
1,920.00
0.85
514.00
02. SUMATERA UTARA
IDN_SU
9,336.00
5.37
9,646.00
5.09
12,026.00
5.11
11,602.00
5.13
2,966.00
5.48
03. SUMATERA BARAT
IDN_SB
15,501.00
8.92
15,639.00
8.25
17,987.00
7.65
17,469.00
7.73
5,842.00
10.78
04. RIAU
IDN_RI
3,529.00
2.03
3,565.00
1.88
4,380.00
1.86
4,458.00
1.97
1,042.00
1.92
05. JAMBI
IDN_JA
1,667.00
0.96
1,940.00
1.02
2,459.00
1.05
2,158.00
0.95
944.00
1.74
06. SUMATERA SELATAN
IDN_SS
2,335.00
1.34
2,912.00
1.54
4,089.00
1.74
3,850.00
1.70
711.00
1.31
07. BENGKULU
IDN_BE
2,119.00
1.22
1,847.00
0.97
2,249.00
0.96
2,335.00
1.03
594.00
1.10
08. LAMPUNG
IDN_LA
3,028.00
1.74
3,082.00
1.63
4,355.00
1.85
4,233.00
1.87
905.00
1.67
09. KEP BANGKA-BELITUNG
IDN_BB
523.00
0.30
491.00
0.26
821.00
0.35
684.00
0.30
161.00
0.30
10. KEPULAUAN RIAU
IDN_KR
1,165.00
0.67
1,299.00
0.69
1,648.00
0.70
1,794.00
0.79
402.00
0.74
11. JAKARTA
IDN_JK
36,284.00
20.87
47,690.00
25.16
56,596.00
24.06
51,072.00
22.59
11,255.00
20.78
12. JAWA BARAT
IDN_JB
27,291.00
15.70
28,631.00
15.11
36,206.00
15.39
36,542.00
16.16
8,640.00
15.95
13. JAWA TENGAH
IDN_JT
10,221.00
5.88
10,229.00
5.40
14,776.00
6.28
14,714.00
6.51
3,192.00
5.89
14. DIY
IDN_YO
3,278.00
1.89
3,439.00
1.81
4,511.00
1.92
4,783.00
2.12
1,121.00
2.07
15. JAWA TIMUR
IDN_JI
14,049.00
8.08
14,712.00
7.76
21,101.00
8.97
18,402.00
8.14
4,047.00
7.47
16. BANTEN
IDN_BT
11,440.00
6.58
12,438.00
6.56
15,992.00
6.80
16,302.00
7.21
3,781.00
6.98
17. BALI
IDN_BA
7,638.00
4.39
8,100.00
4.27
9,971.00
4.24
10,173.00
4.50
3,125.00
5.77
18. NUSA TENGGARA BARAT
IDN_NB
1,488.00
0.86
1,365.00
0.72
1,840.00
0.78
1,613.00
0.71
577.00
1.07
19. NUSA TENGGARA TIMUR
IDN_NT
971.00
0.56
764.00
0.40
615.00
0.26
605.00
0.27
181.00
0.33
20. KALIMANTAN BARAT
IDN_KB
1,823.00
1.05
1,072.00
0.57
1,664.00
0.71
1,545.00
0.68
204.00
0.38
21. KALIMANTAN TENGAH
IDN_KT
700.00
0.40
691.00
0.36
854.00
0.36
875.00
0.39
153.00
0.28
22. KALIMANTAN SELATAN
IDN_KS
1,280.00
0.74
1,254.00
0.66
1,727.00
0.73
1,912.00
0.85
253.00
0.47
23. KALIMANTAN TIMUR
IDN_KI
3,841.00
2.21
4,052.00
2.14
3,798.00
1.61
3,008.00
1.33
510.00
0.94
24. SULAWESI UTARA
IDN_SA
1,877.00
1.08
1,859.00
0.98
2,292.00
0.97
2,497.00
1.10
552.00
1.02
25. SULAWESI TENGAH
IDN_ST
1,231.00
0.71
1,314.00
0.69
997.00
0.42
1,165.00
0.52
239.00
0.44
26. SULAWESI SELATAN
IDN_SN
3,194.00
1.84
3,408.00
1.80
4,314.00
1.83
4,401.00
1.95
754.00
1.39
27. SULAWESI TENGGARA
IDN_SG
577.00
0.33
610.00
0.32
644.00
0.27
685.00
0.30
121.00
0.22
28. GORONTALO
IDN_GO
1,011.00
0.58
829.00
0.44
592.00
0.25
490.00
0.22
161.00
0.30
29. SULAWESI BARAT
IDN_SR
254.00
0.15
311.00
0.16
202.00
0.09
186.00
0.08
59.00
0.11
30. MALUKU
IDN_MA
513.00
0.30
621.00
0.33
776.00
0.33
839.00
0.37
228.00
0.42
31. MALUKU UTARA
IDN_MU
428.00
0.25
378.00
0.20
406.00
0.17
389.00
0.17
81.00
0.15
32. PAPUA BARAT
IDN_PB
1,280.00
0.74
1,351.00
0.71
1,369.00
0.58
1,315.00
0.58
346.00
0.64
33. PAPUA
IDN_PA
2,021.00
1.16
2,333.00
1.23
2,032.00
0.86
1,933.00
0.86
413.00
0.76
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
120.00
0.05
97.00
0.18
J UM L A H
173,827.00 100.00
189,524.00 100.00
54
235,275.00 100.00
226,069.00 100.00
0.95
54,171.00 100.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim Frequency by Cresta Zone As At 30/06/2016 Tab el 5.1
U/Y 2012 Cresta Zone
Jumlah
U/Y 2013 %
Jumlah
U/Y 2014 %
Jumlah
U/Y 2015 %
Jumlah
U/Y 2016 %
Jumlah
%
BANDA ACEH
1.1
4
11%
6
38%
0
0%
0
0%
0
0%
MEDAN
1.2
8
21%
2
13%
0
0%
0
0%
0
0%
OTHERS
1.3
2
5%
0
0%
0
0%
1
3%
0
0%
NORTH SUMATERA PADANG
1 2.1
14 5
37% 13%
8 0
50% 0%
0 2
0% 13%
1 0
3% 0%
0 0
0% 0%
PALEMBANG
2.2
0
0%
0
0%
0
0%
0
0%
0
0%
OTHERS
2.3
10
26%
1
6%
0
0%
3
8%
4
80%
SOUTH SUMATERA JAKARTA
2 3.1
15 0
39% 0%
1 0
6% 0%
2 0
13% 0%
3 0
8% 0%
4 1
80% 20%
BANDUNG
3.2
1
3%
0
0%
0
0%
1
3%
0
0%
OTHERS
3.3
1
3%
1
6%
0
0%
4
11%
0
0%
WEST JAVA SEMARANG
3 4.1
2 0
5% 0%
1 0
6% 0%
0 0
0% 0%
5 0
13% 0%
1 0
20% 0%
YOGYAKARTA
4.2
0
0%
0
0%
0
0%
1
3%
0
0%
OTHERS
4.3
0
0%
0
0%
0
0%
0
0%
0
0%
CENTRAL JAVA SURABAYA
4 5.1
0 0
0% 0%
0 0
0% 0%
0 0
0% 0%
1 0
3% 0%
0 0
0% 0%
OTHERS
5.2
0
0%
0
0%
3
20%
2
5%
0
0%
EAST JAVA KALIMANTAN
5 6
0 0
0% 0%
0 0
0% 0%
3 0
20% 0%
2 3
5% 8%
0 0
0% 0%
UJUNG PANDANG
7.1
0
0%
0
0%
0
0%
0
0%
0
0%
OTHERS
7.2
1
3%
3
19%
3
20%
0
0%
0
0%
SULAWESI OTHER ISLANDS
7 8
1 6
3% 16%
3 3
19% 19%
3 7
20% 47%
0 23
0% 61%
0 0
0% 0%
38
100%
16
100%
15
100%
38
100%
5
100%
J UMLAH
55
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim Frequency By Cresta Zone As at 30 June 2016 North Sumatera
South Sumatera
9 8
4
7
3.5
6
3
5
2.5
4
2
3
1.5
2
1
1
0.5
0
0 UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
6
14
5
12 10
4
8
3 6 2
4
1
2 0
0 UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
UY 2013
Kalimantan
East Java 40
UY 2014
UY 2015
UY 2012
UY 2016
3
3 2.5
25
2
2
15
20
1.5
1.5
10
1
1
0.5
0.5
0
0 UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2013
UY 2014
UY 2015
UY 2016
UY 2016
0 UY 2012
56
UY 2015
5
0 UY 2012
UY 2016
20
10 5
UY 2015
25
2.5
15
UY 2014
Other Islands
3.5
35 30
UY 2013
Sulawesi
3.5
45
Central Java
West Java
4.5
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
UY 2013
UY 2014
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim Frequency by Occupation As At 30/06/2016 Tab le 5.2
Okupasi / Occupation
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
U/Y 2016
AGRICULTURAL / Agricultural
A
0
0
0
0
0
COMMERCIAL / Commercial
C
16
49
10
25
1
INDUSTRIAL / Industrial
I
0
5
1
2
0
RESIDENTIAL / Residential
R
2
8
4
11
4
18
62
15
38
21
Jumlah / Total
57
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim By Occupation As at 30 June 2016 ( In Million IDR )
Agricultural
Industrial
1.00
9,000.00
0.90
8,000.00
0.80
7,000.00
0.70
6,000.00
0.60
5,000.00
0.50
4,000.00
0.40
3,000.00
0.30 0.20
2,000.00
0.10
1,000.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
Commercial
UY 2013
UY 2014
UY 2015
UY 2016
UY 2015
UY 2016
Residential
300,000.00
2,000.00 1,800.00
250,000.00
1,600.00
200,000.00
1,400.00
150,000.00
1,000.00
1,200.00
800.00
100,000.00
600.00
400.00
50,000.00
200.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
58
UY 2013
UY 2014
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim Frequency by Province As At 30/06/2016 Tab el 5.3
dalam Rupiah Provinsi
Cresta ID
U/Y 2012 Jumlah
U/Y 2013 %
U/Y 2015
U/Y 2014
Jumlah
%
Jumlah
%
Jumlah
U/Y 2016 %
Jumlah
%
01. NAD
IDN_AC
8.00
44.44
2.00
3.23
0.00
0.00
1.00
2.63
0.00
02. SUMATERA UTARA
IDN_SU
4.00
22.22
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
0.00
0.00
2.00
3.23
2.00
13.33
2.00
5.26
4.00
80.00
04. RIAU
IDN_RI
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
0.00
0.00
0.00
0.00
0.00
0.00
1.00
2.63
0.00
0.00
07. BENGKULU
IDN_BE
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1.00
20.00
12. JAWA BARAT
IDN_JB
0.00
0.00
1.00
1.61
0.00
0.00
5.00
13.16
0.00
0.00
13. JAWA TENGAH
IDN_JT
0.00
0.00
1.00
1.61
0.00
0.00
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
0.00
0.00
5.00
8.06
0.00
0.00
1.00
2.63
0.00
0.00
15. JAWA TIMUR
IDN_JI
0.00
0.00
49.00
79.03
3.00
20.00
2.00
5.26
0.00
0.00
16. BANTEN
IDN_BT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
3.00
16.67
0.00
0.00
1.00
6.67
1.00
2.63
0.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
1.00
5.56
1.00
1.61
0.00
0.00
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
0.00
0.00
0.00
0.00
0.00
0.00
3.00
7.89
0.00
0.00
24. SULAWESI UTARA
IDN_SA
0.00
0.00
1.00
1.61
3.00
20.00
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
2.00
11.11
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
0.00
0.00
0.00
0.00
0.00
0.00
2.00
5.26
0.00
0.00
31. MALUKU UTARA
IDN_MU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
0.00
0.00
0.00
0.00
5.00
33.33
44.74
0.00
0.00
33. PAPUA
IDN_PA
0.00
0.00
0.00
0.00
1.00
6.67
3.00
7.89
0.00
0.00
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
100.00
5.00
100.00
J UM L A H
18.00
100.00
62.00
100.00
59
15.00
100.00
17.00
38.00
0.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim by Cresta Zone As At 30/06/2016 Tab le 5.4
In IDR
Cresta Zone
U/Y 2012
U/Y 2013
Jumlah
(dalam format lama)
%
U/Y 2014
Jumlah
%
U/Y 2015
Jumlah
%
Jumlah
U/Y 2016 %
Jumlah
%
BANDA ACEH
1.1
1,338,645,096.00
75.52
21,000,000.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
MEDAN
1.2
14,936,201.00
0.84
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
OTHERS
1.3
0.00
0.00
0.00
0.00
0.00
0.00
73,970,453.00
0.48
0.00
0.00
NORTH SUMATERA
1
1,353,581,297.00
76.36
21,000,000.00
0.01
0.00
0.00
73,970,453.00
0.48
0.00
0.00
PADANG
2.1
0.00
0.00
6,710,774.00
0.00
17,491,400.00
1.89
0.00
0.00
0.00
0.00
PALEMBANG
2.2
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
OTHERS
2.3
28,314,000.00
1.60
3,997,822.00
0.00
0.00
0.00
1,020,000,000.00
6.58
0.00
0.00
SOUTH SUMATERA
2
28,314,000.00
1.60
10,708,596.00
0.00
17,491,400.00
1.89
1,020,000,000.00
6.58
0.00
0.00
JAKARTA
3.1
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
BANDUNG
3.2
0.00
0.00
22,511,000.00
0.01
0.00
0.00
50,000,000.00
0.32
0.00
0.00
OTHERS
3.3
17,438,200.00
0.98
0.00
0.00
0.00
0.00
1,267,824,079.50
8.18
1,100,000,000.00
25.66
WEST JAVA
3
17,438,200.00
0.98
22,511,000.00
0.01
0.00
0.00
1,317,824,079.50
8.50
1,100,000,000.00
25.66
SEMARANG
4.1
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
YOGYAKARTA
4.2
0.00
0.00
1,623,236,421.00
0.60
0.00
0.00
1,262,250,000.00
8.14
0.00
0.00
OTHERS
4.3
0.00
0.00
7,391,016,709.83
2.71
0.00
0.00
0.00
0.00
0.00
0.00
CENTRAL JAVA
4
0.00
0.00
9,014,253,130.83
3.31
0.00
0.00
1,262,250,000.00
8.14
0.00
0.00
SURABAYA
5.1
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
OTHERS
5.2
0.00
0.00
263,077,555,767.99
96.63
111,029,676.05
12.03
98,665,500.00
0.64
0.00
0.00
EAST JAVA
5
0.00
0.00
263,077,555,767.99
96.63
111,029,676.05
12.03
98,665,500.00
0.64
0.00
0.00
KALIMANTAN
6
0.00
0.00
0.00
0.00
0.00
0.00
8,380,965,985.00
54.08
10,000,000.00
0.23
UJUNG PANDANG
7.1
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
OTHERS
7.2
77,942,400.00
4.40
53,658,000.00
0.02
78,511,425.00
8.51
0.00
0.00
0.00
0.00
SULAWESI
7
77,942,400.00
4.40
53,658,000.00
0.02
78,511,425.00
8.51
0.00
0.00
0.00
0.00
OTHER ISLANDS
8
295,394,374.84
16.66
41,377,662.88
0.02
716,054,642.51
77.57
3,343,759,661.00
21.58
3,176,604,753.00
74.11
1,772,670,271.84
100.00
272,241,064,157.70
100.00
923,087,143.56
100.00
15,497,435,678.50
100.00
4,286,604,753.00
100.00
J UMLAH
60
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim By Cresta Zone As at 30 June 2016 ( In Million IDR )
North Sumatera 1,500.00
South Sumatera
West Java
1,200.00
1,400.00 1,200.00 1,000.00 800.00 600.00 400.00 200.00 -
1,000.00 1,000.00
800.00
600.00 500.00
400.00
200.00 -
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
East Java
Kalimantan 100.00
250,000.00
8,000.00
80.00
6,000.00
60.00
4,000.00
40.00
2,000.00
20.00
100,000.00 50,000.00
-
-
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
6,000.00 4,000.00 2,000.00 UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
Other Islands
Sulawesi
10,000.00
150,000.00
8,000.00
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
300,000.00 200,000.00
Central Java 10,000.00
4,000.00 3,500.00 3,000.00 2,500.00 2,000.00 1,500.00 1,000.00 500.00 -
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
61
UY 2012 UY 2013 UY 2014 UY 2015 UY 2016
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim by Occupation As At 30/06/2016 Tab le 5.5
dalam Rupiah
Okupasi
U/Y 2012
U/Y 2013
Jumlah
%
U/Y 2014
Jumlah
%
U/Y 2015
Jumlah
%
Jumlah
U/Y 2016 %
Jumlah
%
AGRIKULTURAL
A
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
KOMERSIAL
C
1,636,685,520.49
92.33
271,246,520,180.70
99.63
624,550,950.05
67.66
5,959,405,013.50
38.45
200,000,000.00
34.19
INDUSTRIAL
I
RESIDENSIAL
R
J UMLAH
0.00
0.00
890,057,888.00
0.33
200,000,000.00
21.67
7,680,965,985.00
49.56
0.00
0.00
135,984,751.35
7.67
104,486,089.00
0.04
98,536,193.51
10.67
1,857,064,680.00
11.98
385,000,000.00
65.81
1,772,670,271.84
100.00
272,241,064,157.70
100.00
923,087,143.56
100.00
15,497,435,678.50
100.00
585,000,000.00
100.00
62
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim By Occupation As at 30 June 2016 ( In Million IDR )
Agricultural
Industrial
1.00
9,000.00
0.90
8,000.00
0.80
7,000.00
0.70
6,000.00
0.60
5,000.00
0.50
4,000.00
0.40 0.30
3,000.00
0.20
2,000.00
0.10
1,000.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
Commercial
UY 2013
UY 2014
UY 2015
UY 2016
UY 2015
UY 2016
Residential
300,000.00
2,000.00 1,800.00
250,000.00
1,600.00 1,400.00
200,000.00
1,200.00
150,000.00
1,000.00 800.00
100,000.00
600.00
400.00
50,000.00
200.00
-
-
UY 2012
UY 2013
UY 2014
UY 2015
UY 2016
UY 2012
63
UY 2013
UY 2014
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Claim by Province As At 30/06/2016 Tab le 5.6
In IDR Province
Cresta ID
U/Y 2012 Amount
01. NAD
IDN_AC
1,384,397,296.00
02. SUMATERA UTARA
IDN_SU
82,118,384.00
03. SUMATERA BARAT
IDN_SB
04. RIAU
U/Y 2013 %
U/Y 2015
U/Y 2014 %
Amount
%
Amount
U/Y 2016 %
Amount
%
24,004,968.00
0.01
0.00
0.00
73,970,453.00
0.48
0.00
0.00
4.63
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10,708,596.00
0.00
17,491,400.00
1.89
1,010,000,000.00
6.52
510,000,000.00
0.00
IDN_RI
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
0.00
0.00
0.00
0.00
0.00
0.00
10,000,000.00
0.06
0.00
0.00
07. BENGKULU
IDN_BE
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
75,000,000.00
0.00
12. JAWA BARAT
IDN_JB
0.00
0.00
22,511,000.00
0.01
0.00
0.00
1,317,824,079.50
8.50
0.00
0.00
13. JAWA TENGAH
IDN_JT
0.00
0.00
36,698,640.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
0.00
0.00
1,023,236,421.00
0.38
0.00
0.00
1,262,250,000.00
8.14
0.00
0.00
15. JAWA TIMUR
IDN_JI
0.00
0.00
271,054,377,462.82
98,665,500.00
0.64
0.00
0.00
16. BANTEN
IDN_BT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
177,275,145.84
10.00
0.00
0.00
15,745,036.00
1.71
5,000,000.00
0.03
0.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
50,937,046.00
2.87
15,869,069.88
0.01
0.00
0.00
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
0.00
0.00
0.00
0.00
0.00
0.00
8,380,965,985.00
54.08
0.00
0.00
24. SULAWESI UTARA
IDN_SA
0.00
0.00
53,658,000.00
0.02
78,511,425.00
8.51
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
77,942,400.00
4.40
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
0.00
0.00
0.00
0.00
0.00
0.00
25,960,000.00
0.17
0.00
0.00
31. MALUKU UTARA
IDN_MU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
0.00
0.00
0.00
0.00
688,071,568.51
20.41
0.00
0.00
33. PAPUA
IDN_PA
0.00
0.00
0.00
0.00
12,238,038.00
1.33
150,000,003.00
0.97
0.00
0.00
33. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
585,000,000.00
0.00
T OT AL
1,772,670,271.84
78.10
Amount
100.00
272,241,064,157.70
64
99.56
100.00
111,029,676.05
923,087,143.56
12.03
74.54
100.00
3,162,799,658.00
15,497,435,678.50
100.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012 -2016
OCCUPATION
:ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK
f (d)
PERCENTAGE
F
(In
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
(h)
(i)
1
0.00 50.00
75,506
75,506
8.59
8.59
2,592.28
2,592.28
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
59,686
135,192
6.79
15.38
6,929.70
9,521.98
0.04
0.05
3
3
2.17
2.17
103.14
103.14
0.04
0.04
1.49
1.08
3
100.00 200.00
82,492
217,684
9.39
24.77
17,818.29
27,340.27
0.10
0.15
5
8
3.62
5.80
117.11
220.26
0.04
0.08
0.66
0.81
4
200.00 300.00
65,451
283,135
7.45
32.22
24,089.75
51,430.02
0.13
0.28
8
16
5.80
11.59
282.53
502.79
0.10
0.17
1.17
0.98
5
300.00 500.00
101,242
384,377
11.52
43.74
59,116.49
110,546.51
0.32
0.60
7
23
5.07
16.67
336.60
839.39
0.12
0.29
0.57
0.76
6
500.00 750.00
88,139
472,516
10.03
53.76
77,357.37
187,903.88
0.42
1.02
11
34
7.97
24.64
528.53
1,367.92
0.18
0.47
0.68
0.73
7
750.00 1,000.00
80,451
552,967
9.15
62.92
99,888.28
287,792.16
0.54
1.57
8
42
5.80
30.43
284.48
1,652.41
0.10
0.57
0.28
0.57
8
1,000.00 1,500.00
77,620
630,587
8.83
71.75
133,477.36
421,269.52
0.73
2.30
21
63
15.22
45.65
960.43
2,612.84
0.33
0.90
0.72
0.62
9
1,500.00 2,000.00
41,904
672,491
4.77
76.52
103,352.22
524,621.74
0.56
2.86
7
70
5.07
50.72
626.81
3,239.65
0.22
1.11
0.61
0.62
10
2,000.00 2,500.00
26,181
698,672
2.98
79.50
82,335.35
606,957.09
0.45
3.31
6
76
4.35
55.07
652.65
3,892.30
0.22
1.34
0.79
0.64
11
2,500.00 3,000.00
20,082
718,754
2.28
81.78
77,511.72
684,468.82
0.42
3.73
7
83
5.07
60.14
1,004.09
4,896.39
0.35
1.68
1.30
0.72
12
3,000.00 4,000.00
25,273
744,027
2.88
84.66
122,782.77
807,251.59
0.67
4.40
8
91
5.80
65.94
926.89
5,823.28
0.32
2.00
0.75
0.72
13
4,000.00 5,000.00
18,009
762,036
2.05
86.71
114,210.22
921,461.80
0.62
5.02
1
92
0.72
66.67
15.75
5,839.03
0.01
2.01
0.01
0.63
14
5,000.00 7,500.00
25,442
787,478
2.89
89.60
216,760.86
1,138,222.66
1.18
6.20
9
101
6.52
73.19
3,015.88
8,854.91
1.04
3.04
1.39
0.78
15
7,500.00 10,000.00
16,510
803,988
1.88
91.48
201,588.41
1,339,811.07
1.10
7.30
5
106
3.62
76.81
1,910.59
10,765.50
0.66
3.70
0.95
0.80
16
10,000.00 20,000.00
26,042
830,030
2.96
94.44
512,517.97
1,852,329.03
2.79
10.10
7
113
5.07
81.88
1,367.39
12,132.89
0.47
4.17
0.27
0.66
17
20,000.00 50,000.00
22,327
852,357
2.54
96.98
986,134.77
2,838,463.81
5.38
15.47
9
122
6.52
88.41
2,156.73
14,289.62
0.74
4.91
0.22
0.50
18
50,000.00 100,000.00
11,355
863,712
1.29
98.28
1,084,684.61
3,923,148.42
5.91
21.39
6
128
4.35
92.75
8,482.27
22,771.89
2.91
7.82
0.78
0.58
19
100,000.00 500,000.00
11,884
875,596
1.35
99.63
3,438,998.12
7,362,146.54
18.75
40.13
8
136
5.80
98.55 267,573.29
290,345.19
91.94
99.77
7.78
3.94
20
500,000.00 UP
3,270
878,866
0.37
100.00
10,982,417.61
18,344,564.15
59.87
100.00
2
138
1.45 100.00
291,019.26
0.23
100.00
0.01
1.59
65
(m)
674.07
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2016
OCCUPATION
: ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F
PERCENTAGE
Rp
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
1,844
1,844
3.40
3.40
64.52
64.52
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
3,799
5,643
7.01
10.42
424.58
489.09
0.05
0.05
1
1
20.00
20.00
75.00
75.00
12.82
12.82
17.66
15.33
3
100.00 200.00
4,242
9,885
7.83
18.25
949.19
1,438.28
0.10
0.16
0
1
0.00
20.00
0.00
75.00
0.00
12.82
0.00
5.21
4
200.00 300.00
4,789
14,674
8.84
27.09
1,727.30
3,165.58
0.19
0.34
0
1
0.00
20.00
0.00
75.00
0.00
12.82
0.00
2.37
5
300.00 500.00
7,024
21,698
12.97
40.05
3,999.07
7,164.66
0.43
0.77
1
2
20.00
40.00
50.00
125.00
8.55
21.37
1.25
1.74
6
500.00 750.00
5,354
27,052
9.88
49.94
4,558.57
11,723.23
0.49
1.27
2
4
40.00
80.00
260.00
385.00
44.44
65.81
5.70
3.28
7
750.00 1,000.00
4,950
32,002
9.14
59.08
6,034.84
17,758.07
0.65
1.92
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
2.17
8
1,000.00 1,500.00
4,991
36,993
9.21
68.29
8,303.38
26,061.45
0.90
2.82
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
1.48
9
1,500.00 2,000.00
3,085
40,078
5.69
73.98
7,367.50
33,428.95
0.80
3.61
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
1.15
10
2,000.00 2,500.00
1,822
41,900
3.36
77.35
5,499.68
38,928.62
0.59
4.21
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.99
11
2,500.00 3,000.00
1,428
43,328
2.64
79.98
5,255.34
44,183.96
0.57
4.78
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.87
12
3,000.00 4,000.00
1,761
45,089
3.25
83.23
8,090.51
52,274.47
0.87
5.65
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.74
13
4,000.00 5,000.00
1,355
46,444
2.50
85.74
8,212.95
60,487.41
0.89
6.54
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.64
14
5,000.00 7,500.00
1,739
48,183
3.21
88.95
13,933.83
74,421.25
1.51
8.04
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.52
15
7,500.00 10,000.00
1,143
49,326
2.11
91.06
13,090.45
87,511.70
1.41
9.46
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.44
16
10,000.00 20,000.00
1,688
51,014
3.12
94.17
30,513.70
118,025.40
3.30
12.76
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.33
17
20,000.00 50,000.00
1,396
52,410
2.58
96.75
55,710.69
173,736.09
6.02
18.78
0
4
0.00
80.00
0.00
385.00
0.00
65.81
0.00
0.22
18
50,000.00 100,000.00
780
53,190
1.44
98.19
69,042.10
242,778.20
7.46
26.24
1
5
20.00 100.00
200.00
585.00
34.19
100.00
0.29
0.24
19
100,000.00 500,000.00
745
53,935
1.38
99.56
193,177.45
435,955.64
20.88
47.12
0
5
0.00 100.00
0.00
585.00
0.00
100.00
0.00
0.13
20
500,000.00 UP
236
54,171
0.44
100.00
489,279.68
925,235.32
52.88
100.00
0
5
0.00 100.00
0.00
585.00
0.00
100.00
0.00
0.06
66
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2015
OCCUPATION
: ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
f (d)
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
13,357
13,357
5.91
5.91
396.89
396.89
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
12,164
25,521
5.38
11.29
1,335.82
1,732.71
0.03
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
19,964
45,485
8.83
20.12
4,050.40
5,783.11
0.08
0.11
3
3
7.89
7.89
109.65
109.65
0.71
0.71
2.71
1.90
4
200.00 300.00
17,832
63,317
7.89
28.01
6,579.89
12,363.00
0.13
0.24
2
5
5.26
13.16
187.90
297.55
1.21
1.92
2.86
2.41
5
300.00 500.00
26,261
89,578
11.62
39.62
14,812.83
27,175.82
0.29
0.52
0
5
0.00
13.16
0.00
297.55
0.00
1.92
0.00
1.09
6
500.00 750.00
27,474
117,052
12.15
51.78
22,807.19
49,983.01
0.44
0.96
3
8
7.89
21.05
108.67
406.22
0.70
2.62
0.48
0.81
7
750.00 1,000.00
23,811
140,863
10.53
62.31
28,116.70
78,099.71
0.54
1.51
0
8
0.00
21.05
0.00
406.22
0.00
2.62
0.00
0.52
8
1,000.00 1,500.00
19,243
160,106
8.51
70.82
31,956.09
110,055.80
0.62
2.12
4
12
10.53
31.58
136.22
542.44
0.88
3.50
0.43
0.49
9
1,500.00 2,000.00
10,903
171,009
4.82
75.64
25,954.79
136,010.59
0.50
2.62
2
14
5.26
36.84
31.53
573.97
0.20
3.70
0.12
0.42
10
2,000.00 2,500.00
7,185
178,194
3.18
78.82
21,714.87
157,725.45
0.42
3.04
2
16
5.26
42.11
200.48
774.45
1.29
5.00
0.92
0.49
11
2,500.00 3,000.00
5,242
183,436
2.32
81.14
19,581.98
177,307.44
0.38
3.42
3
19
7.89
50.00
152.54
926.99
0.98
5.98
0.78
0.52
12
3,000.00 4,000.00
6,628
190,064
2.93
84.07
31,243.22
208,550.66
0.60
4.02
3
22
7.89
57.89
266.87
1,193.86
1.72
7.70
0.85
0.57
13
4,000.00 5,000.00
4,653
194,717
2.06
86.13
28,834.35
237,385.01
0.56
4.58
0
22
0.00
57.89
0.00
1,193.86
0.00
7.70
0.00
0.50
14
5,000.00 7,500.00
6,904
201,621
3.05
89.19
57,314.52
294,699.53
1.11
5.68
4
26
10.53
68.42
2,064.22
3,258.08
13.32
21.02
3.60
1.11
15
7,500.00 10,000.00
4,356
205,977
1.93
91.11
50,854.57
345,554.10
0.98
6.66
1
27
2.63
71.05
700.00
3,958.08
4.52
25.54
1.38
1.15
16
10,000.00 20,000.00
6,968
212,945
3.08
94.19
131,900.73
477,454.83
2.54
9.21
1
28
2.63
73.68
300.00
4,258.08
1.94
27.48
0.23
0.89
17
20,000.00 50,000.00
5,873
218,818
2.60
96.79
252,888.62
730,343.45
4.88
14.08
6
34
15.79
89.47
1,912.13
6,170.21
12.34
39.81
0.76
0.84
18
50,000.00 100,000.00
2,884
221,702
1.28
98.07
271,840.77
1,002,184.23
5.24
19.32
1
35
2.63
92.11
700.00
6,870.21
4.52
44.33
0.26
0.69
19
100,000.00 500,000.00
3,410
225,112
1.51
99.58
933,423.27
1,935,607.49
18.00
37.32
2
37
5.26
97.37
7,980.97
14,851.17
51.50
95.83
0.86
0.77
20
500,000.00 UP
957
226,069
0.42
100.00 3,250,646.31
5,186,253.80
62.68
100.00
1
38
2.63 100.00
646.26
15,497.44
4.17
100.00
0.02
0.30
67
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2014
OCCUPATION
: ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
f (d)
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
27,157
27,157
11.54
11.54
804.99
804.99
0.02
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
15,535
42,692
6.60
18.15
1,895.36
2,700.35
0.04
0.05
2
2
13.33
13.33
28.14
28.14
3.05
3.05
1.48
1.04
3
100.00 200.00
19,762
62,454
8.40
26.55
4,255.70
6,956.05
0.09
0.14
0
2
0.00
13.33
0.00
28.14
0.00
3.05
0.00
0.40
4
200.00 300.00
15,142
77,596
6.44
32.98
5,480.66
12,436.71
0.11
0.25
3
5
20.00
33.33
56.29
84.43
6.10
9.15
1.03
0.68
5
300.00 500.00
28,986
106,582
12.32
45.30
17,173.59
29,610.30
0.34
0.59
0
5
0.00
33.33
0.00
84.43
0.00
9.15
0.00
0.29
6
500.00 750.00
25,985
132,567
11.04
56.35
23,833.12
53,443.42
0.48
1.07
2
7
13.33
46.67
34.40
118.83
3.73
12.87
0.14
0.22
7
750.00 1,000.00
23,072
155,639
9.81
66.15
29,151.19
82,594.60
0.59
1.66
2
9
13.33
60.00
112.92
231.75
12.23
25.11
0.39
0.28
8
1,000.00 1,500.00
17,285
172,924
7.35
73.50
29,837.56
112,432.16
0.60
2.26
1
10
6.67
66.67
112.50
344.25
12.19
37.29
0.38
0.31
9
1,500.00 2,000.00
10,273
183,197
4.37
77.87
25,410.01
137,842.18
0.51
2.77
0
10
0.00
66.67
0.00
344.25
0.00
37.29
0.00
0.25
10
2,000.00 2,500.00
6,268
189,465
2.66
80.53
19,755.65
157,597.83
0.40
3.16
2
12
13.33
80.00
347.26
691.51
37.62
74.91
1.76
0.44
11
2,500.00 3,000.00
4,998
194,463
2.12
82.65
19,315.35
176,913.18
0.39
3.55
0
12
0.00
80.00
0.00
691.51
0.00
74.91
0.00
0.39
12
3,000.00 4,000.00
6,242
200,705
2.65
85.31
29,994.86
206,908.04
0.60
4.15
0
12
0.00
80.00
0.00
691.51
0.00
74.91
0.00
0.33
13
4,000.00 5,000.00
4,471
205,176
1.90
87.21
28,224.31
235,132.35
0.57
4.72
1
13
6.67
86.67
15.75
707.25
1.71
76.62
0.06
0.30
14
5,000.00 7,500.00
6,319
211,495
2.69
89.89
53,883.89
289,016.24
1.08
5.80
1
14
6.67
93.33
15.83
723.09
1.72
78.33
0.03
0.25
15
7,500.00 10,000.00
4,093
215,588
1.74
91.63
50,169.29
339,185.53
1.01
6.81
0
14
0.00
93.33
0.00
723.09
0.00
78.33
0.00
0.21
16
10,000.00 20,000.00
6,571
222,159
2.79
94.43
129,584.99
468,770.51
2.60
9.41
0
14
0.00
93.33
0.00
723.09
0.00
78.33
0.00
0.15
17
20,000.00 50,000.00
5,990
228,149
2.55
96.97
270,273.34
739,043.86
5.42
14.83
1
15
6.67 100.00
200.00
923.09
21.67
100.00
0.07
0.12
18
50,000.00 100,000.00
3,114
231,263
1.32
98.29
292,133.84
1,031,177.70
5.86
20.70
0
15
0.00 100.00
0.00
923.09
0.00
100.00
0.00
0.09
19
100,000.00 500,000.00
3,161
234,424
1.34
99.64
946,152.23
1,977,329.92
18.99
39.69
0
15
0.00 100.00
0.00
923.09
0.00
100.00
0.00
0.05
20
500,000.00 UP
851
235,275
0.36
100.00 3,004,747.52
4,982,077.45
60.31
100.00
0
15
0.00 100.00
0.00
923.09
0.00
100.00
0.00
0.02
68
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2013
OCCUPATION
: ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f (d)
F ∑(d) (e)
PERCENTAGE BAND (d)/∑(d)
CUM ∑(f)
rp
Rp ∑(h)
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
01/02/2016
PERCENTAGE
LOSS RATIO
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
15,781.00
15,781.00
8.34
8.34
633.66
633.66
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
14,596.00
30,377.00
7.72
16.06
1,676.45
2,310.11
0.04
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
19,193.00
49,570.00
10.15
26.20
4,300.50
6,610.61
0.09
0.15
2.00
2.00
3.39
3.39
7.47
7.47
0.00
0.00
0.17
0.11
4
200.00 300.00
13,937.00
63,507.00
7.37
33.57
5,197.54
11,808.15
0.11
0.26
3.00
5.00
5.08
8.47
38.34
45.81
0.01
0.02
0.74
0.39
5
300.00 500.00
19,767.00
83,274.00
10.45
44.02
11,732.00
23,540.15
0.26
0.52
5.00
10.00
8.47
16.95
269.16
314.97
0.09
0.11
2.29
1.34
6
500.00 750.00
15,496.00
98,770.00
8.19
52.21
13,798.99
37,339.14
0.30
0.82
4.00
14.00
6.78
23.73
364.51
679.49
0.13
0.24
2.64
1.82
7
750.00 1,000.00
14,556.00 113,326.00
7.69
59.91
18,582.73
55,921.87
0.41
1.23
6.00
20.00
10.17
33.90
684.43
1,363.91
0.24
0.47
3.68
2.44
8
1,000.00 1,500.00
19,893.00 133,219.00
10.52
70.42
34,933.98
90,855.86
0.77
2.01
15.00
35.00
25.42
59.32
683.40
2,047.31
0.24
0.71
1.96
2.25
9
1,500.00 2,000.00
9,626.00 142,845.00
5.09
75.51
24,202.29
115,058.15
0.53
2.54
2.00
37.00
3.39
62.71
184.66
2,231.97
0.06
0.78
0.76
1.94
10
2,000.00 2,500.00
6,008.00 148,853.00
3.18
78.69
19,630.35
134,688.50
0.43
2.97
1.00
38.00
1.69
64.41
42.58
2,274.56
0.01
0.79
0.22
1.69
11
2,500.00 3,000.00
4,525.00 153,378.00
2.39
81.08
18,007.17
152,695.67
0.40
3.37
2.00
40.00
3.39
67.80
793.34
3,067.89
0.28
1.07
4.41
2.01
12
3,000.00 4,000.00
5,759.00 159,137.00
3.04
84.12
28,864.82
181,560.49
0.64
4.01
4.00
44.00
6.78
74.58
552.35
3,620.25
0.19
1.26
1.91
1.99
13
4,000.00 5,000.00
4,109.00 163,246.00
2.17
86.30
26,586.74
208,147.23
0.59
4.59
0.00
44.00
0.00
74.58
0.00
3,620.25
0.00
1.26
0.00
1.74
14
5,000.00 7,500.00
5,658.00 168,904.00
2.99
89.29
49,632.65
257,779.88
1.10
5.69
2.00
46.00
3.39
77.97
615.87
4,236.12
0.21
1.47
1.24
1.64
15
7,500.00 10,000.00
3,775.00 172,679.00
2.00
91.28
48,228.11
306,007.98
1.06
6.75
2.00
48.00
3.39
81.36
747.66
4,983.78
0.26
1.73
1.55
1.63
16
10,000.00 20,000.00
5,861.00 178,540.00
3.10
94.38
119,505.35
425,513.33
2.64
9.39
2.00
50.00
3.39
84.75
766.32
5,750.10
0.27
2.00
0.64
1.35
17
20,000.00 50,000.00
4,956.00 183,496.00
2.62
97.00
225,770.57
651,283.91
4.98
14.38
1.00
51.00
1.69
86.44
30.00
5,780.10
0.01
2.01
0.01
0.89
18
50,000.00 100,000.00
2,511.00 186,007.00
1.33
98.33
256,373.05
907,656.96
5.66
20.04
3.00
54.00
5.08
91.53
9,198.95
14,979.05
3.20
5.20
3.59
1.65
19
100,000.00 500,000.00
2,490.00 188,497.00
1.32
99.64
765,867.96
1,673,524.91
16.91
36.94
4.00
58.00
6.78
98.31 272,874.75
287,853.80
94.79
99.99
35.63
17.20
20
500,000.00 UP
675.00 189,172.00
0.36
100.00 2,856,777.24
4,530,302.15
63.06
100.00
1.00
59.00
1.69 100.00
287,881.61
0.01
100.00
0.00
6.35
69
27.81
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012
OCCUPATION
:ALL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
f (d)
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
17,355
17,355
9.98
9.98
689.39
689.39
0.03
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
13,583
30,938
7.81
17.80
1,595.91
2,285.30
0.06
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
19,276
50,214
11.09
28.89
4,248.45
6,533.75
0.16
0.24
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
13,705
63,919
7.88
36.77
5,084.73
11,618.49
0.19
0.43
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
19,127
83,046
11.00
47.78
11,352.99
22,971.47
0.42
0.84
1
1
5.56
5.56
17.44
17.44
0.98
0.98
0.15
0.08
6
500.00 750.00
13,797
96,843
7.94
55.71
12,330.92
35,302.39
0.45
1.30
0
1
0.00
5.56
0.00
17.44
0.00
0.98
0.00
0.05
7
750.00 1,000.00
14,027
110,870
8.07
63.78
17,953.46
53,255.85
0.66
1.96
0
1
0.00
5.56
0.00
17.44
0.00
0.98
0.00
0.03
8
1,000.00 1,500.00
16,190
127,060
9.31
73.10
28,415.42
81,671.26
1.04
3.00
1
2
5.56
11.11
28.31
45.75
1.60
2.58
0.10
0.06
9
1,500.00 2,000.00
8,000
135,060
4.60
77.70
20,369.59
102,040.85
0.75
3.75
3
5
16.67
27.78
410.61
456.36
23.16
25.74
2.02
0.45
10
2,000.00 2,500.00
4,891
139,951
2.81
80.51
15,724.69
117,765.54
0.58
4.33
1
6
5.56
33.33
62.33
518.69
3.52
29.26
0.40
0.44
11
2,500.00 3,000.00
3,883
143,834
2.23
82.75
15,325.85
133,091.39
0.56
4.89
2
8
11.11
44.44
58.21
576.90
3.28
32.54
0.38
0.43
12
3,000.00 4,000.00
4,874
148,708
2.80
85.55
24,556.01
157,647.40
0.90
5.79
1
9
5.56
50.00
107.67
684.58
6.07
38.62
0.44
0.43
13
4,000.00 5,000.00
3,419
152,127
1.97
87.52
22,330.78
179,978.18
0.82
6.61
0
9
0.00
50.00
0.00
684.58
0.00
38.62
0.00
0.38
14
5,000.00 7,500.00
4,812
156,939
2.77
90.28
41,931.73
221,909.91
1.54
8.15
2
11
11.11
61.11
319.96
1,004.53
18.05
56.67
0.76
0.45
15
7,500.00 10,000.00
3,140
160,079
1.81
92.09
39,175.48
261,085.39
1.44
9.59
2
13
11.11
72.22
462.93
1,467.46
26.11
82.78
1.18
0.56
16
10,000.00 20,000.00
4,947
165,026
2.85
94.94
100,940.51
362,025.91
3.71
13.30
4
17
22.22
94.44
301.07
1,768.53
16.98
99.77
0.30
0.49
17
20,000.00 50,000.00
4,109
169,135
2.36
97.30
181,554.10
543,580.00
6.67
19.97
0
17
0.00
94.44
0.00
1,768.53
0.00
99.77
0.00
0.33
18
50,000.00 100,000.00
2,063
171,198
1.19
98.49
195,321.27
738,901.28
7.18
27.15
0
17
0.00
94.44
0.00
1,768.53
0.00
99.77
0.00
0.24
19
100,000.00 500,000.00
2,078
173,276
1.20
99.68
599,151.15
1,338,052.43
22.02
49.17
1
18
5.56 100.00
4.14
1,772.67
0.23
100.00
0.00
0.13
20
500,000.00 UP
551
173,827
0.32
100.00 1,383,349.21
2,721,401.64
50.83
100.00
0
18
0.00 100.00
0.00
1,772.67
0.00
100.00
0.00
0.07
70
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2016
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
22
22
11.64
11.64
1.18
1.18
0.02
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
18
40
9.52
21.16
2.40
3.57
0.04
0.06
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
15
55
7.94
29.10
3.63
7.20
0.07
0.13
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
11
66
5.82
34.92
4.27
11.47
0.08
0.21
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
8
74
4.23
39.15
6.14
17.61
0.11
0.32
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
11
85
5.82
44.97
11.58
29.19
0.21
0.53
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
5
90
2.65
47.62
5.37
34.56
0.10
0.63
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
8
98
4.23
51.85
13.96
48.52
0.25
0.88
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
12
110
6.35
58.20
28.92
77.44
0.53
1.41
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
4
114
2.12
60.32
14.34
91.78
0.26
1.67
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
1
115
0.53
60.85
2.85
94.63
0.05
1.72
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
2
117
1.06
61.90
8.11
102.74
0.15
1.87
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
0
117
0.00
61.90
0.00
102.74
0.00
1.87
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
7
124
3.70
65.61
55.90
158.64
1.02
2.89
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
5
129
2.65
68.25
48.96
207.60
0.89
3.78
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
10
139
5.29
73.54
224.30
431.91
4.08
7.86
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
20
159
10.58
84.13
687.56
1,119.46
12.51
20.37
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
15
174
7.94
92.06
1,440.66
2,560.13
26.22
46.59
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
15
189
7.94
100.00
2,935.31
5,495.44
53.41
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
0
189
0.00
100.00
0.00
5,495.44
0.00
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
71
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2016
OCCUPATION
: COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
f
(b)
(c)
(d)
1
0.00 50.00
2
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
964
964
3.84
3.84
31.79
31.79
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
1,604
2,568
6.39
10.24
173.30
205.10
0.07
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
1,512
4,080
6.03
16.26
344.38
549.47
0.14
0.23
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
1,652
5,732
6.59
22.85
632.41
1,181.88
0.26
0.49
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
2,763
8,495
11.01
33.86
1,646.77
2,828.65
0.68
1.17
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
2,403
10,898
9.58
43.44
2,083.27
4,911.92
0.86
2.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
2,581
13,479
10.29
53.73
3,164.26
8,076.19
1.30
3.33
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
2,560
16,039
10.21
63.94
4,217.36
12,293.54
1.74
5.07
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
1,656
17,695
6.60
70.54
4,026.32
16,319.87
1.66
6.72
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
945
18,640
3.77
74.31
2,876.76
19,196.63
1.19
7.91
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
788
19,428
3.14
77.45
2,884.29
22,080.92
1.19
9.10
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
956
20,384
3.81
81.26
4,454.03
26,534.95
1.84
10.93
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
754
21,138
3.01
84.27
4,649.62
31,184.57
1.92
12.85
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
1,016
22,154
4.05
88.32
8,230.45
39,415.02
3.39
16.24
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
647
22,801
2.58
90.89
7,514.81
46,929.83
3.10
19.34
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
911
23,712
3.63
94.53
16,443.59
63,373.42
6.78
26.11
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
703
24,415
2.80
97.33
28,552.88
91,926.30
11.76
37.88
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
371
24,786
1.48
98.81
32,522.65
124,448.95
13.40
51.27
1
1
100.00 100.00
200.00
200.00
100.00
100.00
0.61
0.16
19
100,000.00 500,000.00
260
25,046
1.04
99.84
64,782.00
189,230.95
26.69
77.97
0
1
0.00 100.00
0.00
200.00
0.00
100.00
0.00
0.11
20
500,000.00 UP
39
25,085
0.16
100.00
53,478.68
242,709.63
22.03
100.00
0
1
0.00 100.00
0.00
200.00
0.00
100.00
0.00
0.08
72
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2016
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
65
65
1.53
1.53
3.23
3.23
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
466
531
11.00
12.54
48.07
51.30
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
103
634
2.43
14.97
22.80
74.10
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
78
712
1.84
16.81
27.99
102.09
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
210
922
4.96
21.77
115.09
217.18
0.02
0.04
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
144
1,066
3.40
25.17
122.35
339.53
0.02
0.06
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
160
1,226
3.78
28.94
192.00
531.53
0.04
0.10
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
207
1,433
4.89
33.83
355.40
886.93
0.07
0.16
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
156
1,589
3.68
37.51
383.23
1,270.16
0.07
0.23
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
142
1,731
3.35
40.86
428.31
1,698.47
0.08
0.31
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
110
1,841
2.60
43.46
392.38
2,090.85
0.07
0.39
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
166
2,007
3.92
47.38
760.20
2,851.05
0.14
0.53
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
159
2,166
3.75
51.13
915.30
3,766.35
0.17
0.70
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
221
2,387
5.22
56.35
1,777.18
5,543.53
0.33
1.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
197
2,584
4.65
61.00
2,208.05
7,751.58
0.41
1.43
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
407
2,991
9.61
70.61
7,297.59
15,049.17
1.35
2.78
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
438
3,429
10.34
80.95
17,216.86
32,266.03
3.18
5.96
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
302
3,731
7.13
88.08
26,783.34
59,049.37
4.94
10.90
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
341
4,072
8.05
96.13
88,539.91
147,589.28
16.34
27.24
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
164
4,236
3.87
100.00
394,207.72
541,797.01
72.76
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
73
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2016
OCCUPATION
: RESIDENTIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
f
(b)
(c)
(d)
1
0.00 50.00
2
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
793
793
3.22
3.22
28.32
28.32
0.02
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
1,711
2,504
6.94
10.15
200.81
229.13
0.15
0.17
1
1
25.00
25.00
75.00
75.00
19.48
19.48
37.35
32.73
3
100.00 200.00
2,612
5,116
10.59
20.75
578.39
807.51
0.43
0.60
0
1
0.00
25.00
0.00
75.00
0.00
19.48
0.00
9.29
4
200.00 300.00
3,048
8,164
12.36
33.10
1,062.62
1,870.14
0.79
1.38
0
1
0.00
25.00
0.00
75.00
0.00
19.48
0.00
4.01
5
300.00 500.00
4,043
12,207
16.39
49.50
2,231.08
4,101.22
1.65
3.03
1
2
25.00
50.00
50.00
125.00
12.99
32.47
2.24
3.05
6
500.00 750.00
2,796
15,003
11.34
60.84
2,341.37
6,442.58
1.73
4.76
2
4
50.00 100.00
260.00
385.00
67.53
100.00
11.10
5.98
7
750.00 1,000.00
2,204
17,207
8.94
69.77
2,673.20
9,115.78
1.98
6.74
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
4.22
8
1,000.00 1,500.00
2,216
19,423
8.99
78.76
3,716.66
12,832.45
2.75
9.49
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
3.00
9
1,500.00 2,000.00
1,261
20,684
5.11
83.87
2,929.03
15,761.48
2.17
11.66
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
2.44
10
2,000.00 2,500.00
731
21,415
2.96
86.84
2,180.27
17,941.75
1.61
13.27
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
2.15
11
2,500.00 3,000.00
529
21,944
2.15
88.98
1,975.81
19,917.56
1.46
14.73
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
1.93
12
3,000.00 4,000.00
637
22,581
2.58
91.57
2,868.16
22,785.72
2.12
16.85
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
1.69
13
4,000.00 5,000.00
442
23,023
1.79
93.36
2,648.03
25,433.75
1.96
18.81
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
1.51
14
5,000.00 7,500.00
495
23,518
2.01
95.37
3,870.30
29,304.06
2.86
21.67
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
1.31
15
7,500.00 10,000.00
294
23,812
1.19
96.56
3,318.63
32,622.69
2.45
24.12
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
1.18
16
10,000.00 20,000.00
360
24,172
1.46
98.02
6,548.22
39,170.91
4.84
28.97
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
0.98
17
20,000.00 50,000.00
235
24,407
0.95
98.97
9,253.40
48,424.31
6.84
35.81
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
0.80
18
50,000.00 100,000.00
92
24,499
0.37
99.34
8,295.44
56,719.75
6.13
41.94
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
0.68
19
100,000.00 500,000.00
129
24,628
0.52
99.87
36,920.22
93,639.97
27.30
69.24
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
0.41
20
500,000.00 UP
33
24,661
0.13
100.00
41,593.27
135,233.24
30.76
100.00
0
4
0.00 100.00
0.00
385.00
0.00
100.00
0.00
0.28
74
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2015
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
2
2
0.51
0.51
0.10
0.10
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
8
10
2.05
2.56
1.11
1.21
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
11
21
2.82
5.38
2.29
3.50
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
8
29
2.05
7.44
2.96
6.45
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
8
37
2.05
9.49
4.52
10.97
0.02
0.04
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
14
51
3.59
13.08
11.87
22.84
0.04
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
10
61
2.56
15.64
12.39
35.23
0.04
0.12
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
18
79
4.62
20.26
26.41
61.64
0.09
0.21
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
13
92
3.33
23.59
32.08
93.72
0.11
0.32
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
13
105
3.33
26.92
42.74
136.46
0.14
0.46
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
3
108
0.77
27.69
13.63
150.09
0.05
0.51
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
12
120
3.08
30.77
58.95
209.03
0.20
0.70
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
13
133
3.33
34.10
78.66
287.69
0.26
0.97
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
17
150
4.36
38.46
139.55
427.24
0.47
1.44
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
16
166
4.10
42.56
160.97
588.21
0.54
1.98
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
34
200
8.72
51.28
707.00
1,295.21
2.38
4.36
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
42
242
10.77
62.05
2,054.24
3,349.45
6.92
11.28
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
53
295
13.59
75.64
4,939.90
8,289.35
16.64
27.93
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
95
390
24.36
100.00
21,394.38
29,683.73
72.07
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
0
390
0.00
100.00
0.00
29,683.73
0.00
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
75
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2015
OCCUPATION
: COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
8,683
8,683
7.01
7.01
249.81
249.81
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
5,119
13,802
4.13
11.14
578.30
828.11
0.03
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
8,524
22,326
6.88
18.03
1,779.16
2,607.27
0.10
0.15
2
2
8.00
8.00
59.65
59.65
1.00
1.00
3.35
2.29
4
200.00 300.00
9,072
31,398
7.33
25.35
3,450.36
6,057.63
0.19
0.34
2
4
8.00
16.00
187.90
247.55
3.15
4.15
5.45
4.09
5
300.00 500.00
12,857
44,255
10.38
35.73
7,349.57
13,407.19
0.41
0.75
0
4
0.00
16.00
0.00
247.55
0.00
4.15
0.00
1.85
6
500.00 750.00
17,769
62,024
14.35
50.08
14,733.25
28,140.44
0.82
1.57
2
6
8.00
24.00
98.67
346.22
1.66
5.81
0.67
1.23
7
750.00 1,000.00
16,077
78,101
12.98
63.06
18,915.82
47,056.27
1.05
2.62
0
6
0.00
24.00
0.00
346.22
0.00
5.81
0.00
0.74
8
1,000.00 1,500.00
11,103
89,204
8.97
72.03
18,462.24
65,518.50
1.03
3.65
0
6
0.00
24.00
0.00
346.22
0.00
5.81
0.00
0.53
9
1,500.00 2,000.00
6,123
95,327
4.94
76.97
14,804.24
80,322.74
0.82
4.47
1
7
4.00
28.00
10.00
356.22
0.17
5.98
0.07
0.44
10
2,000.00 2,500.00
4,014
99,341
3.24
80.21
12,250.69
92,573.43
0.68
5.16
2
9
8.00
36.00
200.48
556.70
3.36
9.34
1.64
0.60
11
2,500.00 3,000.00
2,890
102,231
2.33
82.55
10,922.23
103,495.66
0.61
5.77
1
10
4.00
40.00
12.98
569.68
0.22
9.56
0.12
0.55
12
3,000.00 4,000.00
3,565
105,796
2.88
85.43
17,090.80
120,586.46
0.95
6.72
2
12
8.00
48.00
29.37
599.04
0.49
10.05
0.17
0.50
13
4,000.00 5,000.00
2,596
108,392
2.10
87.52
16,288.27
136,874.73
0.91
7.63
0
12
0.00
48.00
0.00
599.04
0.00
10.05
0.00
0.44
14
5,000.00 7,500.00
3,981
112,373
3.21
90.74
33,347.06
170,221.79
1.86
9.48
3
15
12.00
60.00
801.97
1,401.02
13.46
23.51
2.40
0.82
15
7,500.00 10,000.00
2,472
114,845
2.00
92.73
29,076.07
199,297.86
1.62
11.10
1
16
4.00
64.00
700.00
2,101.02
11.75
35.26
2.41
1.05
16
10,000.00 20,000.00
3,828
118,673
3.09
95.82
72,349.90
271,647.76
4.03
15.13
1
17
4.00
68.00
300.00
2,401.02
5.03
40.29
0.41
0.88
17
20,000.00 50,000.00
2,840
121,513
2.29
98.12
123,976.31
395,624.07
6.91
22.04
6
23
24.00
92.00
1,912.13
4,313.14
32.09
72.38
1.54
1.09
18
50,000.00 100,000.00
1,167
122,680
0.94
99.06
112,740.28
508,364.35
6.28
28.32
0
23
0.00
92.00
0.00
4,313.14
0.00
72.38
0.00
0.85
19
100,000.00 500,000.00
1,002
123,682
0.81
99.87
259,236.67
767,601.02
14.44
42.76
1
24
4.00
96.00
1,000.00
5,313.14
16.78
89.16
0.39
0.69
20
500,000.00 UP
163
123,845
0.13
100.00 1,027,432.55
1,795,033.57
57.24
100.00
1
25
4.00 100.00
646.26
5,959.41
10.84
100.00
0.06
0.33
76
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2015
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
537
537
3.13
3.13
16.73
16.73
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
712
1,249
4.15
7.28
83.08
99.81
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
499
1,748
2.91
10.18
109.51
209.32
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
418
2,166
2.44
12.62
153.12
362.43
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
664
2,830
3.87
16.49
404.79
767.22
0.01
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
699
3,529
4.07
20.56
620.11
1,387.34
0.02
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
598
4,127
3.48
24.04
784.54
2,171.88
0.03
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
856
4,983
4.99
29.03
1,540.27
3,712.15
0.05
0.13
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
631
5,614
3.68
32.71
1,554.45
5,266.60
0.06
0.19
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
489
6,103
2.85
35.55
1,541.61
6,808.21
0.05
0.24
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
426
6,529
2.48
38.04
1,633.12
8,441.33
0.06
0.30
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
683
7,212
3.98
42.02
3,276.68
11,718.01
0.12
0.42
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
543
7,755
3.16
45.18
3,471.70
15,189.71
0.12
0.54
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
995
8,750
5.80
50.98
8,465.66
23,655.37
0.30
0.84
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
839
9,589
4.89
55.86
9,706.36
33,361.73
0.34
1.18
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,706
11,295
9.94
65.80
32,818.36
66,180.09
1.17
2.35
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
2,046
13,341
11.92
77.72
88,356.89
154,536.97
3.14
5.49
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
1,297
14,638
7.56
85.28
118,488.51
273,025.48
4.21
9.69
1
1
50.00
50.00
700.00
700.00
9.11
9.11
0.59
0.26
19
100,000.00 500,000.00
1,821
16,459
10.61
95.89
508,170.50
781,195.98
18.04
27.73
1
2
50.00 100.00
6,980.97
7,680.97
90.89
100.00
1.37
0.98
20
500,000.00 UP
706
17,165
4.11
100.00 2,035,519.10
2,816,715.07
72.27
100.00
0
2
0.00 100.00
0.00
7,680.97
0.00
100.00
0.00
0.27
77
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2015
OCCUPATION
: RESIDENTIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
4,135
4,135
4.88
4.88
130.25
130.25
0.02
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
6,325
10,460
7.47
12.35
673.33
803.58
0.12
0.15
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
10,930
21,390
12.91
25.26
2,159.45
2,963.03
0.40
0.54
1
1
9.09
9.09
50.00
50.00
2.69
2.69
2.32
1.69
4
200.00 300.00
8,334
29,724
9.84
35.11
2,973.45
5,936.48
0.55
1.09
0
1
0.00
9.09
0.00
50.00
0.00
2.69
0.00
0.84
5
300.00 500.00
12,732
42,456
15.04
50.14
7,053.95
12,990.43
1.29
2.38
0
1
0.00
9.09
0.00
50.00
0.00
2.69
0.00
0.38
6
500.00 750.00
8,992
51,448
10.62
60.76
7,441.96
20,432.39
1.37
3.75
1
2
9.09
18.18
10.00
60.00
0.54
3.23
0.13
0.29
7
750.00 1,000.00
7,126
58,574
8.42
69.18
8,403.94
28,836.34
1.54
5.29
0
2
0.00
18.18
0.00
60.00
0.00
3.23
0.00
0.21
8
1,000.00 1,500.00
7,266
65,840
8.58
77.76
11,927.17
40,763.51
2.19
7.48
4
6
36.36
54.55
136.22
196.22
7.34
10.57
1.14
0.48
9
1,500.00 2,000.00
4,136
69,976
4.88
82.65
9,564.02
50,327.53
1.76
9.24
1
7
9.09
63.64
21.53
217.75
1.16
11.73
0.23
0.43
10
2,000.00 2,500.00
2,669
72,645
3.15
85.80
7,879.83
58,207.36
1.45
10.68
0
7
0.00
63.64
0.00
217.75
0.00
11.73
0.00
0.37
11
2,500.00 3,000.00
1,923
74,568
2.27
88.07
7,013.01
65,220.36
1.29
11.97
2
9
18.18
81.82
139.56
357.31
7.52
19.24
1.99
0.55
12
3,000.00 4,000.00
2,368
76,936
2.80
90.87
10,816.80
76,037.16
1.99
13.96
1
10
9.09
90.91
237.50
594.81
12.79
32.03
2.20
0.78
13
4,000.00 5,000.00
1,501
78,437
1.77
92.64
8,995.72
85,032.89
1.65
15.61
0
10
0.00
90.91
0.00
594.81
0.00
32.03
0.00
0.70
14
5,000.00 7,500.00
1,911
80,348
2.26
94.90
15,362.25
100,395.14
2.82
18.43
1
11
9.09 100.00
1,262.25
1,857.06
67.97
100.00
8.22
1.85
15
7,500.00 10,000.00
1,029
81,377
1.22
96.11
11,911.17
112,306.30
2.19
20.61
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
1.65
16
10,000.00 20,000.00
1,400
82,777
1.65
97.77
26,025.47
138,331.77
4.78
25.39
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
1.34
17
20,000.00 50,000.00
945
83,722
1.12
98.88
38,501.19
176,832.96
7.07
32.46
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
1.05
18
50,000.00 100,000.00
367
84,089
0.43
99.31
35,672.09
212,505.05
6.55
39.00
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
0.87
19
100,000.00 500,000.00
492
84,581
0.58
99.90
144,621.72
357,126.77
26.54
65.55
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
0.52
20
500,000.00 UP
88
84,669
0.10
100.00
187,694.66
544,821.43
34.45
100.00
0
11
0.00 100.00
0.00
1,857.06
0.00
100.00
0.00
0.34
78
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2014
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
f
(b)
(c)
(d)
1
0.00 50.00
2
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
154
154
20.45
20.45
2.89
2.89
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
7
161
0.93
21.38
0.71
3.60
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
11
172
1.46
22.84
1.78
5.37
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6
178
0.80
23.64
2.55
7.92
0.01
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
12
190
1.59
25.23
5.99
13.91
0.02
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
11
201
1.46
26.69
5.81
19.72
0.02
0.07
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
16
217
2.12
28.82
12.58
32.30
0.04
0.11
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
26
243
3.45
32.27
35.37
67.67
0.12
0.23
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
32
275
4.25
36.52
64.32
131.99
0.22
0.45
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
25
300
3.32
39.84
71.43
203.42
0.25
0.70
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
19
319
2.52
42.36
45.19
248.61
0.16
0.85
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
36
355
4.78
47.14
151.84
400.45
0.52
1.37
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
36
391
4.78
51.93
173.00
573.45
0.59
1.97
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
50
441
6.64
58.57
331.20
904.65
1.14
3.10
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
42
483
5.58
64.14
406.67
1,311.32
1.40
4.50
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
49
532
6.51
70.65
467.64
1,778.96
1.60
6.10
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
73
605
9.69
80.35
2,732.93
4,511.89
9.38
15.48
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
65
670
8.63
88.98
5,026.50
9,538.39
17.24
32.72
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
82
752
10.89
99.87
18,158.96
27,697.36
62.30
95.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
1
753
0.13
100.00
1,452.46
29,149.82
4.98
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
79
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2014
OCCUPATION
: COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
f (d)
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
16,426
16,426
13.19
13.19
470.66
470.66
0.04
0.04
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
6,536
22,962
5.25
18.43
774.27
1,244.93
0.07
0.11
1
1
10.00
10.00
12.24
12.24
1.96
1.96
1.58
0.98
3
100.00 200.00
8,300
31,262
6.66
25.10
1,865.35
3,110.28
0.17
0.28
0
1
0.00
10.00
0.00
12.24
0.00
1.96
0.00
0.39
4
200.00 300.00
6,111
37,373
4.91
30.00
2,298.06
5,408.34
0.21
0.48
2
3
20.00
30.00
48.74
60.97
7.80
9.76
2.12
1.13
5
300.00 500.00
15,496
52,869
12.44
42.45
9,884.11
15,292.45
0.88
1.37
0
3
0.00
30.00
0.00
60.97
0.00
9.76
0.00
0.40
6
500.00 750.00
16,271
69,140
13.06
55.51
15,848.42
31,140.87
1.42
2.78
1
4
10.00
40.00
12.24
73.21
1.96
11.72
0.08
0.24
7
750.00 1,000.00
15,191
84,331
12.20
67.70
19,987.69
51,128.55
1.79
4.57
1
5
10.00
50.00
60.00
133.21
9.61
21.33
0.30
0.26
8
1,000.00 1,500.00
9,324
93,655
7.49
75.19
16,770.19
67,898.74
1.50
6.07
1
6
10.00
60.00
112.50
245.71
18.01
39.34
0.67
0.36
9
1,500.00 2,000.00
5,369
99,024
4.31
79.50
13,931.54
81,830.28
1.25
7.32
0
6
0.00
60.00
0.00
245.71
0.00
39.34
0.00
0.30
10
2,000.00 2,500.00
3,126
102,150
2.51
82.01
10,421.43
92,251.72
0.93
8.25
2
8
20.00
80.00
347.26
592.97
55.60
94.94
3.33
0.64
11
2,500.00 3,000.00
2,587
104,737
2.08
84.09
10,449.21
102,700.93
0.93
9.18
0
8
0.00
80.00
0.00
592.97
0.00
94.94
0.00
0.58
12
3,000.00 4,000.00
3,150
107,887
2.53
86.62
15,781.43
118,482.36
1.41
10.60
0
8
0.00
80.00
0.00
592.97
0.00
94.94
0.00
0.50
13
4,000.00 5,000.00
2,352
110,239
1.89
88.50
15,360.99
133,843.35
1.37
11.97
1
9
10.00
90.00
15.75
608.72
2.52
97.47
0.10
0.45
14
5,000.00 7,500.00
3,372
113,611
2.71
91.21
29,951.04
163,794.39
2.68
14.65
1
10
10.00 100.00
15.83
624.55
2.53
100.00
0.05
0.38
15
7,500.00 10,000.00
2,170
115,781
1.74
92.95
26,905.49
190,699.87
2.41
17.05
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.33
16
10,000.00 20,000.00
3,375
119,156
2.71
95.66
67,492.89
258,192.76
6.04
23.09
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.24
17
20,000.00 50,000.00
2,938
122,094
2.36
98.02
134,937.93
393,130.69
12.07
35.16
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.16
18
50,000.00 100,000.00
1,409
123,503
1.13
99.15
121,919.55
515,050.24
10.90
46.06
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.12
19
100,000.00 500,000.00
921
124,424
0.74
99.89
257,556.94
772,607.18
23.03
69.09
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.08
20
500,000.00 UP
134
124,558
0.11
100.00
345,620.28
1,118,227.46
30.91
100.00
0
10
0.00 100.00
0.00
624.55
0.00
100.00
0.00
0.06
80
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2014
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
f
(b)
(c)
(d)
1
0.00 50.00
2
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
PERCENTAGE
Rp
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1,342
1,342
7.10
7.10
39.75
39.75
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
437
1,779
2.31
9.41
45.98
85.73
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
657
2,436
3.48
12.89
138.40
224.14
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
464
2,900
2.45
15.34
165.09
389.23
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
728
3,628
3.85
19.19
440.75
829.97
0.01
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
788
4,416
4.17
23.36
706.34
1,536.31
0.02
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
773
5,189
4.09
27.45
940.64
2,476.95
0.03
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
1,027
6,216
5.43
32.88
1,791.52
4,268.47
0.06
0.13
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
780
6,996
4.13
37.01
1,933.40
6,201.87
0.06
0.19
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
601
7,597
3.18
40.19
1,875.29
8,077.16
0.06
0.25
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
506
8,103
2.68
42.87
1,916.44
9,993.60
0.06
0.31
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
827
8,930
4.37
47.24
3,923.54
13,917.14
0.12
0.43
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
604
9,534
3.20
50.44
3,779.14
17,696.28
0.12
0.55
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
1,098
10,632
5.81
56.25
9,354.75
27,051.03
0.29
0.84
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
881
11,513
4.66
60.91
11,105.24
38,156.27
0.34
1.19
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,775
13,288
9.39
70.30
34,992.65
73,148.92
1.09
2.27
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
2,049
15,337
10.84
81.14
93,601.68
166,750.60
2.91
5.18
1
1
100.00 100.00
200.00
200.00
100.00
100.00
0.21
0.12
18
50,000.00 100,000.00
1,271
16,608
6.72
87.86
128,527.19
295,277.79
3.99
9.17
0
1
0.00 100.00
0.00
200.00
0.00
100.00
0.00
0.07
19
100,000.00 500,000.00
1,663
18,271
8.80
96.66
530,855.10
826,132.89
16.49
25.66
0
1
0.00 100.00
0.00
200.00
0.00
100.00
0.00
0.02
20
500,000.00 UP
632
18,903
3.34
100.00 2,393,193.92
3,219,326.81
74.34
100.00
0
1
0.00 100.00
0.00
200.00
0.00
100.00
0.00
0.01
81
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2014
OCCUPATION
: RESIDENTIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
9,235
9,235
10.14
10.14
291.68
291.68
0.05
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
8,555
17,790
9.39
19.54
1,074.41
1,366.09
0.17
0.22
1
1
25.00
25.00
15.91
15.91
16.14
16.14
1.48
1.16
3
100.00 200.00
10,794
28,584
11.85
31.39
2,250.17
3,616.26
0.37
0.59
0
1
0.00
25.00
0.00
15.91
0.00
16.14
0.00
0.44
4
200.00 300.00
8,561
37,145
9.40
40.79
3,014.97
6,631.23
0.49
1.08
1
2
25.00
50.00
7.55
23.45
7.66
23.80
0.25
0.35
5
300.00 500.00
12,750
49,895
14.00
54.79
6,842.74
13,473.97
1.11
2.19
0
2
0.00
50.00
0.00
23.45
0.00
23.80
0.00
0.17
6
500.00 750.00
8,915
58,810
9.79
64.58
7,272.55
20,746.52
1.18
3.37
1
3
25.00
75.00
22.16
45.62
22.49
46.30
0.30
0.22
7
750.00 1,000.00
7,092
65,902
7.79
72.37
8,210.28
28,956.80
1.33
4.71
1
4
25.00 100.00
52.92
98.54
53.70
100.00
0.64
0.34
8
1,000.00 1,500.00
6,908
72,810
7.59
79.96
11,240.48
40,197.28
1.83
6.53
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.25
9
1,500.00 2,000.00
4,092
76,902
4.49
84.45
9,480.75
49,678.03
1.54
8.07
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.20
10
2,000.00 2,500.00
2,516
79,418
2.76
87.21
7,387.51
57,065.54
1.20
9.27
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.17
11
2,500.00 3,000.00
1,886
81,304
2.07
89.29
6,904.50
63,970.04
1.12
10.40
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.15
12
3,000.00 4,000.00
2,229
83,533
2.45
91.73
10,138.05
74,108.09
1.65
12.04
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.13
13
4,000.00 5,000.00
1,479
85,012
1.62
93.36
8,911.19
83,019.28
1.45
13.49
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.12
14
5,000.00 7,500.00
1,799
86,811
1.98
95.33
14,246.90
97,266.17
2.32
15.81
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.10
15
7,500.00 10,000.00
1,000
87,811
1.10
96.43
11,751.89
109,018.06
1.91
17.72
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.09
16
10,000.00 20,000.00
1,372
89,183
1.51
97.94
26,631.81
135,649.87
4.33
22.04
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.07
17
20,000.00 50,000.00
930
90,113
1.02
98.96
39,000.80
174,650.68
6.34
28.38
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.06
18
50,000.00 100,000.00
369
90,482
0.41
99.36
36,660.60
211,311.27
5.96
34.34
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.05
19
100,000.00 500,000.00
495
90,977
0.54
99.91
139,581.22
350,892.49
22.68
57.02
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.03
20
500,000.00 UP
84
91,061
0.09
100.00
264,480.87
615,373.36
42.98
100.00
0
4
0.00 100.00
0.00
98.54
0.00
100.00
0.00
0.02
82
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2013
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
11
11
2.06
2.06
0.32
0.32
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
0
11
0.00
2.06
0.07
0.39
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
7
18
1.31
3.36
1.37
1.77
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
12
30
2.24
5.61
3.92
5.68
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
22
52
4.11
9.72
12.07
17.76
0.03
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
27
79
5.05
14.77
21.04
38.79
0.06
0.11
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
16
95
2.99
17.76
16.17
54.97
0.05
0.16
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
18
113
3.36
21.12
32.44
87.41
0.09
0.25
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
21
134
3.93
25.05
42.61
130.02
0.12
0.37
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
18
152
3.36
28.41
57.80
187.82
0.16
0.53
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
14
166
2.62
31.03
54.62
242.44
0.15
0.69
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
21
187
3.93
34.95
86.75
329.19
0.25
0.93
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
20
207
3.74
38.69
151.05
480.24
0.43
1.36
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
38
245
7.10
45.79
281.77
762.00
0.80
2.16
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
24
269
4.49
50.28
295.55
1,057.55
0.84
3.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
38
307
7.10
57.38
631.91
1,689.46
1.79
4.79
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
77
384
14.39
71.78
3,015.24
4,704.70
8.55
13.35
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
80
464
14.95
86.73
8,034.58
12,739.28
22.79
36.14
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
68
532
12.71
99.44
14,907.45
27,646.73
42.29
78.43
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
3
535
0.56
100.00
7,604.09
35,250.82
21.57
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
83
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2013
OCCUPATION
: COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
8,490
8,490
8.43
8.43
372.72
372.72
0.02
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
8,886
17,376
8.83
17.26
1,018.75
1,391.47
0.06
0.08
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
9,255
26,631
9.19
26.45
2,083.24
3,474.71
0.11
0.19
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,224
32,855
6.18
32.63
2,395.58
5,870.29
0.13
0.32
1
1
2.04
2.04
12.83
12.83
0.00
0.00
0.54
0.22
5
300.00 500.00
9,495
42,350
9.43
42.06
5,845.65
11,715.94
0.32
0.65
4
5
8.16
10.20
251.73
264.56
0.09
0.10
4.31
2.26
6
500.00 750.00
8,152
50,502
8.10
50.16
7,409.12
19,125.06
0.41
1.06
2
7
4.08
14.29
113.57
378.12
0.04
0.14
1.53
1.98
7
750.00 1,000.00
8,411
58,913
8.35
58.51
11,076.87
30,201.93
0.61
1.67
6
13
12.24
26.53
171.57
549.69
0.06
0.20
1.55
1.82
8
1,000.00 1,500.00
13,413
72,326
13.32
71.84
23,657.85
53,859.79
1.31
2.97
14
27
28.57
55.10
638.40
1,188.09
0.24
0.44
2.70
2.21
9
1,500.00 2,000.00
5,556
77,882
5.52
77.35
14,174.23
68,034.02
0.78
3.75
2
29
4.08
59.18
184.66
1,372.75
0.07
0.51
1.30
2.02
10
2,000.00 2,500.00
3,347
81,229
3.32
80.68
11,073.41
79,107.43
0.61
4.37
0
29
0.00
59.18
0.00
1,372.75
0.00
0.51
0.00
1.74
11
2,500.00 3,000.00
2,465
83,694
2.45
83.13
9,884.71
88,992.14
0.55
4.91
1
30
2.04
61.22
756.64
2,129.39
0.28
0.79
7.65
2.39
12
3,000.00 4,000.00
3,009
86,703
2.99
86.11
15,278.72
104,270.85
0.84
5.75
3
33
6.12
67.35
497.49
2,626.88
0.18
0.97
3.26
2.52
13
4,000.00 5,000.00
2,246
88,949
2.23
88.35
14,659.31
118,930.16
0.81
6.56
0
33
0.00
67.35
0.00
2,626.88
0.00
0.97
0.00
2.21
14
5,000.00 7,500.00
2,927
91,876
2.91
91.25
26,105.22
145,035.38
1.44
8.00
2
35
4.08
71.43
615.87
3,242.75
0.23
1.20
2.36
2.24
15
7,500.00 10,000.00
1,936
93,812
1.92
93.18
24,698.66
169,734.04
1.36
9.37
1
36
2.04
73.47
9.19
3,251.93
0.00
1.20
0.04
1.92
16
10,000.00 20,000.00
2,856
96,668
2.84
96.01
57,611.17
227,345.20
3.18
12.55
2
38
4.08
77.55
766.32
4,018.25
0.28
1.48
1.33
1.77
17
20,000.00 50,000.00
2,272
98,940
2.26
98.27
101,686.27
329,031.48
5.61
18.16
1
39
2.04
79.59
30.00
4,048.25
0.01
1.49
0.03
1.23
18
50,000.00 100,000.00
880
99,820
0.87
99.14
86,680.07
415,711.55
4.78
22.94
4
43
8.16
87.76
7,582.27
11,630.52
2.80
4.29
8.75
2.80
19
100,000.00 500,000.00
737
100,557
0.73
99.87
204,973.86
620,685.41
11.31
34.25
5
48
10.20
97.96 259,588.19
271,218.71
95.70
99.99
126.64
43.70
20
500,000.00 UP
126
100,683
0.13
100.00 1,191,282.95
1,811,968.36
65.75
100.00
1
49
271,246.52
0.01
100.00
0.00
14.97
84
2.04 100.00
27.81
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2013
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
f
(b)
(c)
(d)
1
0.00 50.00
2
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
PERCENTAGE
Rp
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1,687
1,687
9.15
9.15
43.99
43.99
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
410
2,097
2.22
11.38
47.24
91.23
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
640
2,737
3.47
14.85
151.09
242.32
0.01
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
583
3,320
3.16
18.01
200.66
442.98
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
760
4,080
4.12
22.13
480.73
923.70
0.02
0.04
1
1
20.00
20.00
17.43
17.43
1.96
1.96
3.63
1.89
6
500.00 750.00
795
4,875
4.31
26.45
772.20
1,695.90
0.03
0.08
0
1
0.00
20.00
0.00
17.43
0.00
1.96
0.00
1.03
7
750.00 1,000.00
746
5,621
4.05
30.49
977.33
2,673.24
0.04
0.12
0
1
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.65
8
1,000.00 1,500.00
1,050
6,671
5.70
36.19
1,960.71
4,633.95
0.09
0.21
0
1
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.38
9
1,500.00 2,000.00
782
7,453
4.24
40.43
2,084.51
6,718.46
0.09
0.30
0
1
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.26
10
2,000.00 2,500.00
628
8,081
3.41
43.84
2,202.27
8,920.73
0.10
0.40
1
2
20.00
40.00
42.58
60.02
4.78
6.74
1.93
0.67
11
2,500.00 3,000.00
543
8,624
2.95
46.79
2,232.89
11,153.62
0.10
0.51
1
3
20.00
60.00
36.70
96.71
4.12
10.87
1.64
0.87
12
3,000.00 4,000.00
766
9,390
4.16
50.94
4,011.47
15,165.09
0.18
0.69
1
4
20.00
80.00
54.86
151.58
6.16
17.03
1.37
1.00
13
4,000.00 5,000.00
629
10,019
3.41
54.35
4,203.25
19,368.34
0.19
0.88
0
4
0.00
80.00
0.00
151.58
0.00
17.03
0.00
0.78
14
5,000.00 7,500.00
1,103
11,122
5.98
60.34
9,849.84
29,218.18
0.45
1.32
0
4
0.00
80.00
0.00
151.58
0.00
17.03
0.00
0.52
15
7,500.00 10,000.00
895
12,017
4.86
65.19
11,874.02
41,092.20
0.54
1.86
1
5
20.00 100.00
738.48
890.06
82.97
100.00
6.22
2.17
16
10,000.00 20,000.00
1,636
13,653
8.88
74.07
34,861.28
75,953.48
1.58
3.44
0
5
0.00 100.00
0.00
890.06
0.00
100.00
0.00
1.17
17
20,000.00 50,000.00
1,800
15,453
9.77
83.83
84,914.17
160,867.65
3.85
7.29
0
5
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.55
18
50,000.00 100,000.00
1,191
16,644
6.46
90.29
122,606.23
283,473.88
5.55
12.84
0
5
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.31
19
100,000.00 500,000.00
1,317
17,961
7.14
97.44
420,571.68
704,045.57
19.05
31.89
0
5
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.13
20
500,000.00 UP
472
18,433
2.56
100.00 1,503,763.57
2,207,809.14
68.11
100.00
0
5
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.04
85
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
: 2013
OCCUPATION
: RESIDENTIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
5,605
5,605
8.02
8.02
219.45
219.45
0.05
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
5,309
10,914
7.60
15.62
611.98
831.44
0.13
0.18
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
9,346
20,260
13.38
29.00
2,078.84
2,910.28
0.44
0.61
2
2
25.00
25.00
7.47
7.47
7.15
7.15
0.36
0.26
4
200.00 300.00
7,164
27,424
10.25
39.25
2,617.01
5,527.29
0.55
1.16
2
4
25.00
50.00
25.52
32.98
24.42
31.57
0.98
0.60
5
300.00 500.00
9,567
36,991
13.69
52.94
5,439.56
10,966.85
1.15
2.31
0
4
0.00
50.00
0.00
32.98
0.00
31.57
0.00
0.30
6
500.00 750.00
6,555
43,546
9.38
62.32
5,625.22
16,592.07
1.19
3.50
2
6
25.00
75.00
11.90
44.88
11.39
42.96
0.21
0.27
7
750.00 1,000.00
5,418
48,964
7.75
70.08
6,561.73
23,153.80
1.38
4.88
0
6
0.00
75.00
0.00
44.88
0.00
42.96
0.00
0.19
8
1,000.00 1,500.00
5,430
54,394
7.77
77.85
9,313.91
32,467.71
1.96
6.84
1
7
12.50
87.50
45.00
89.88
43.07
86.02
0.48
0.28
9
1,500.00 2,000.00
3,284
57,678
4.70
82.55
7,948.98
40,416.68
1.67
8.52
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.22
10
2,000.00 2,500.00
2,022
59,700
2.89
85.44
6,306.99
46,723.68
1.33
9.85
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.19
11
2,500.00 3,000.00
1,509
61,209
2.16
87.60
5,860.98
52,584.65
1.24
11.08
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.17
12
3,000.00 4,000.00
1,972
63,181
2.82
90.42
9,521.23
62,105.89
2.01
13.09
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.14
13
4,000.00 5,000.00
1,216
64,397
1.74
92.16
7,594.22
69,700.11
1.60
14.69
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.13
14
5,000.00 7,500.00
1,600
65,997
2.29
94.45
13,460.06
83,160.16
2.84
17.52
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.11
15
7,500.00 10,000.00
923
66,920
1.32
95.77
11,430.40
94,590.57
2.41
19.93
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.10
16
10,000.00 20,000.00
1,338
68,258
1.91
97.69
26,473.68
121,064.24
5.58
25.51
0
7
0.00
87.50
0.00
89.88
0.00
86.02
0.00
0.07
17
20,000.00 50,000.00
810
69,068
1.16
98.85
36,092.33
157,156.57
7.61
33.12
1
8
12.50 100.00
14.60
104.49
13.98
100.00
0.04
0.07
18
50,000.00 100,000.00
363
69,431
0.52
99.37
39,025.73
196,182.30
8.22
41.34
0
8
0.00 100.00
0.00
104.49
0.00
100.00
0.00
0.05
19
100,000.00 500,000.00
368
69,799
0.53
99.89
126,641.04
322,823.34
26.69
68.02
0
8
0.00 100.00
0.00
104.49
0.00
100.00
0.00
0.03
20
500,000.00 UP
74
69,873
0.11
100.00
151,744.29
474,567.62
31.98
100.00
0
8
0.00 100.00
0.00
104.49
0.00
100.00
0.00
0.02
86
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012
OCCUPATION
:AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
3
3
0.71
0.71
0.25
0.25
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
3
6
0.71
1.43
0.61
0.86
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
4
10
0.95
2.38
1.07
1.93
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
9
19
2.14
4.52
3.20
5.13
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
18
37
4.29
8.81
10.51
15.64
0.04
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
31
68
7.38
16.19
28.12
43.76
0.10
0.15
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
9
77
2.14
18.33
13.92
57.68
0.05
0.20
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
16
93
3.81
22.14
28.09
85.76
0.10
0.29
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
23
116
5.48
27.62
54.94
140.71
0.19
0.48
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
11
127
2.62
30.24
35.38
176.09
0.12
0.60
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
19
146
4.52
34.76
59.18
235.27
0.20
0.80
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
18
164
4.29
39.05
71.42
306.69
0.24
1.04
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
13
177
3.10
42.14
98.66
405.35
0.34
1.38
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
30
207
7.14
49.29
246.98
652.33
0.84
2.22
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
21
228
5.00
54.29
265.21
917.54
0.90
3.12
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
28
256
6.67
60.95
499.62
1,417.16
1.70
4.82
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
58
314
13.81
74.76
2,645.23
4,062.38
8.99
13.81
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
48
362
11.43
86.19
4,367.47
8,429.85
14.85
28.65
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
52
414
12.38
98.57
12,434.00
20,863.85
42.26
70.92
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
6
420
1.43
100.00
8,555.38
29,419.23
29.08
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
87
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012
OCCUPATION
:COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM
NUMBER OF RISK PERCENTAGE
F
f (d)
∑(d)
BAND (d)/∑(d)
CUM ∑(f)
rp
(e)
(f)
(g)
(h)
PERCENTAGE
Rp
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
∑(h)
BAND (i)/∑(i)
CUM ∑(j)
f
(i)
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
10,443
10,443
11.04
11.04
476.15
476.15
0.07
0.07
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
8,603
19,046
9.09
20.13
1,033.98
1,510.13
0.16
0.23
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
9,715
28,761
10.27
30.40
2,158.78
3,668.90
0.33
0.56
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,313
35,074
6.67
37.08
2,392.54
6,061.44
0.36
0.92
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
9,341
44,415
9.87
46.95
5,709.18
11,770.62
0.87
1.79
1
1
6.25
6.25
17.44
17.44
1.07
1.07
0.31
0.15
6
500.00 750.00
7,218
51,633
7.63
54.58
6,604.37
18,374.99
1.00
2.79
0
1
0.00
6.25
0.00
17.44
0.00
1.07
0.00
0.09
7
750.00 1,000.00
8,541
60,174
9.03
63.61
11,188.93
29,563.92
1.70
4.49
0
1
0.00
6.25
0.00
17.44
0.00
1.07
0.00
0.06
8
1,000.00 1,500.00
10,626
70,800
11.23
74.85
18,651.16
48,215.08
2.83
7.32
0
1
0.00
6.25
0.00
17.44
0.00
1.07
0.00
0.04
9
1,500.00 2,000.00
4,660
75,460
4.93
79.77
12,098.53
60,313.61
1.84
9.16
3
4
18.75
25.00
410.61
428.05
25.09
26.15
3.39
0.71
10
2,000.00 2,500.00
2,712
78,172
2.87
82.64
8,783.51
69,097.12
1.33
10.50
1
5
6.25
31.25
62.33
490.38
3.81
29.96
0.71
0.71
11
2,500.00 3,000.00
2,112
80,284
2.23
84.87
8,418.14
77,515.26
1.28
11.77
2
7
12.50
43.75
58.21
548.59
3.56
33.52
0.69
0.71
12
3,000.00 4,000.00
2,652
82,936
2.80
87.67
13,478.21
90,993.46
2.05
13.82
0
7
0.00
43.75
0.00
548.59
0.00
33.52
0.00
0.60
13
4,000.00 5,000.00
1,888
84,824
2.00
89.67
12,328.76
103,322.22
1.87
15.69
0
7
0.00
43.75
0.00
548.59
0.00
33.52
0.00
0.53
14
5,000.00 7,500.00
2,515
87,339
2.66
92.33
21,703.42
125,025.65
3.30
18.99
2
9
12.50
56.25
319.96
868.55
19.55
53.07
1.47
0.69
15
7,500.00 10,000.00
1,603
88,942
1.69
94.02
19,884.85
144,910.50
3.02
22.01
2
11
12.50
68.75
462.93
1,331.48
28.28
81.35
2.33
0.92
16
10,000.00 20,000.00
2,430
91,372
2.57
96.59
48,125.71
193,036.21
7.31
29.32
4
15
25.00
93.75
301.07
1,632.55
18.40
99.75
0.63
0.85
17
20,000.00 50,000.00
1,804
93,176
1.91
98.50
76,777.13
269,813.35
11.66
40.98
0
15
0.00
93.75
0.00
1,632.55
0.00
99.75
0.00
0.61
18
50,000.00 100,000.00
784
93,960
0.83
99.33
70,036.07
339,849.42
10.64
51.62
0
15
0.00
93.75
0.00
1,632.55
0.00
99.75
0.00
0.48
19
100,000.00 500,000.00
539
94,499
0.57
99.90
151,541.43
491,390.85
23.02
74.64
1
16
6.25 100.00
4.14
1,636.69
0.25
100.00
0.00
0.33
20
500,000.00 UP
96
94,595
0.10
100.00
166,986.02
658,376.86
25.36
100.00
0
16
0.00 100.00
0.00
1,636.69
0.00
100.00
0.00
0.25
88
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012
OCCUPATION
:INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM
NUMBER OF RISK
FROM
TO
f
(b)
(c)
(d)
PERCENTAGE
F ∑(d) (e)
PERCENTAGE
Rp
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
∑(h) (i)
INCURED CLAIM
CLAIM FREQUENCY
(In million Rp)
BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
∑(l) (m)
LOSS RATIO
(In million Rp)
PERCENTAGE
F
8/15/2016
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
990
990
5.76
5.76
33.85
33.85
0.00
0.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
486
1,476
2.83
8.58
54.61
88.46
0.00
0.01
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
721
2,197
4.19
12.77
167.45
255.92
0.01
0.02
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
679
2,876
3.95
16.72
248.70
504.62
0.01
0.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
825
3,701
4.80
21.52
518.87
1,023.49
0.03
0.06
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
739
4,440
4.30
25.82
707.88
1,731.37
0.04
0.10
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
689
5,129
4.01
29.82
947.19
2,678.55
0.06
0.16
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
1,006
6,135
5.85
35.67
2,009.74
4,688.29
0.12
0.28
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
717
6,852
4.17
39.84
1,940.80
6,629.10
0.12
0.39
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
606
7,458
3.52
43.36
2,042.24
8,671.33
0.12
0.51
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
532
7,990
3.09
46.46
2,205.97
10,877.31
0.13
0.65
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
769
8,759
4.47
50.93
4,007.81
14,885.12
0.24
0.88
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
607
9,366
3.53
54.46
4,012.28
18,897.40
0.24
1.12
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
1,077
10,443
6.26
60.72
9,677.81
28,575.21
0.57
1.69
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
829
11,272
4.82
65.54
10,334.42
38,909.63
0.61
2.31
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,583
12,855
9.20
74.74
32,225.36
71,134.99
1.91
4.22
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
1,720
14,575
10.00
84.74
77,414.42
148,549.40
4.59
8.81
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
1,009
15,584
5.87
90.61
99,188.45
247,737.86
5.88
14.69
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
1,210
16,794
7.04
97.65
346,315.14
594,053.00
20.54
35.23
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
405
17,199
2.35
100.00 1,092,020.03
1,686,073.03
64.77
100.00
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
89
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 30/06/2016 UNDERWRTING YEAR
:2012
OCCUPATION
:RESIDENTIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
FROM
TO
f
F ∑(d)
(b)
(c)
(d)
(e)
PERCENTAGE BAND (d)/∑(d)
CUM ∑(f)
rp
Rp ∑(h)
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE BAND (i)/∑(i)
CUM ∑(j)
f
(j)
(k)
(l)
PERCENTAGE
F ∑(l) (m)
15/8/2016
LOSS RATIO
PERCENTAGE
BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
PERCENTAGE
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
5,919
5,919
9.61
9.61
179.14
179.14
0.05
0.05
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2
50.00 100.00
4,491
10,410
7.29
16.90
506.71
685.85
0.15
0.20
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3
100.00 200.00
8,836
19,246
14.34
31.24
1,921.15
2,607.00
0.55
0.75
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,704
25,950
10.88
42.12
2,440.30
5,047.30
0.70
1.45
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
8,943
34,893
14.51
56.63
5,114.43
10,161.73
1.47
2.92
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
5,809
40,702
9.43
66.06
4,990.55
15,152.28
1.44
4.36
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
4,788
45,490
7.77
73.83
5,803.42
20,955.70
1.67
6.03
0
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
4,542
50,032
7.37
81.20
7,726.43
28,682.13
2.22
8.25
1
1
50.00
50.00
28.31
28.31
20.82
20.82
0.37
0.10
9
1,500.00 2,000.00
2,600
52,632
4.22
85.42
6,275.31
34,957.44
1.81
10.06
0
1
0.00
50.00
0.00
28.31
0.00
20.82
0.00
0.08
10
2,000.00 2,500.00
1,562
54,194
2.54
87.96
4,863.56
39,821.00
1.40
11.46
0
1
0.00
50.00
0.00
28.31
0.00
20.82
0.00
0.07
11
2,500.00 3,000.00
1,220
55,414
1.98
89.94
4,642.56
44,463.55
1.34
12.79
0
1
0.00
50.00
0.00
28.31
0.00
20.82
0.00
0.06
12
3,000.00 4,000.00
1,435
56,849
2.33
92.27
6,998.57
51,462.13
2.01
14.81
1
2
50.00 100.00
107.67
135.98
79.18
100.00
1.54
0.26
13
4,000.00 5,000.00
911
57,760
1.48
93.75
5,891.07
57,353.20
1.70
16.50
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.24
14
5,000.00 7,500.00
1,190
58,950
1.93
95.68
10,303.52
67,656.72
2.96
19.47
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.20
15
7,500.00 10,000.00
687
59,637
1.12
96.79
8,691.00
76,347.72
2.50
21.97
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.18
16
10,000.00 20,000.00
906
60,543
1.47
98.26
20,089.83
96,437.55
5.78
27.75
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.14
17
20,000.00 50,000.00
527
61,070
0.86
99.12
24,717.32
121,154.87
7.11
34.86
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.11
18
50,000.00 100,000.00
222
61,292
0.36
99.48
21,729.28
142,884.15
6.25
41.11
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.10
19
100,000.00 500,000.00
277
61,569
0.45
99.93
88,860.58
231,744.73
25.57
66.68
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.06
20
500,000.00 UP
44
61,613
0.07
100.00
115,787.78
347,532.51
33.32
100.00
0
2
0.00 100.00
0.00
135.98
0.00
100.00
0.00
0.04
90
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 30/06/2016 UNDERWRITING YEAR : POLICY STATUS :
2016 A;C;E;N;R
PROCESSING DATE :
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
15/08/2016
Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
BANDA ACEH
1.1
308,707,705,986.40
0.04
582,199,018.41
0.06
177
0.33
0.00
0.00
0
0.00
MEDAN
1.2
16,924,429,258,172.10
2.33
24,267,967,170.29
2.62
2,197
4.06
0.00
0.00
0
0.00
OTHERS
1.3
7,107,360,161,794.93
0.98
11,551,033,182.44
1.25
1,106
2.04
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
24,340,497,125,953.40 4,763,490,870,436.16
3.35 0.65
36,401,199,371.14 8,736,272,197.04
3.93 0.94
3,480 4,008
6.42 7.40
0.00 0.00
0.00 0.00
0 0
0.00 0.00
PALEMBANG
2.2
3,123,401,714,595.80
0.43
3,150,570,456.83
0.34
474
0.88
0.00
0.00
0
0.00
OTHERS
2.3
55,910,532,833,841.20
7.68
65,113,224,566.56
7.04
6,119
11.30
510,000,000.00
87.18
4
80.00
SOUTH SUMATERA JAKARTA
2 3.1
63,797,425,418,873.20 127,948,814,292,811.00
8.77 17.59
77,000,067,220.43 186,487,644,888.00
8.32 20.16
10,601 11,255
19.57 20.78
510,000,000.00 75,000,000.00
87.18 12.82
4 1
80.00 20.00
BANDUNG
3.2
4,051,668,042,362.95
0.56
7,670,076,939.60
0.83
723
1.33
0.00
0.00
0
0.00
OTHERS
3.3
291,510,816,814,857.00
40.07
373,233,139,047.43
40.34
11,698
21.59
0.00
0.00
0
0.00
WEST JAVA SEMARANG
3 4.1
423,511,299,150,032.00 1,895,364,569,546.20
58.21 0.26
567,390,860,875.03 1,944,263,732.23
61.32 0.21
23,676 261
43.71 0.48
75,000,000.00 0.00
12.82 0.00
1 0
20.00 0.00
YOGYAKARTA
4.2
2,978,693,218,571.78
0.41
4,247,908,254.61
0.46
675
1.25
0.00
0.00
0
0.00
OTHERS
4.3
44,802,121,744,416.20
6.16
62,541,316,916.86
6.76
3,377
6.23
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
49,676,179,532,534.20 17,568,877,420,245.30
6.83 2.41
68,733,488,903.70 17,918,094,212.23
7.43 1.94
4,313 1,486
7.96 2.74
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
62,420,837,529,183.90
8.58
62,484,450,462.93
6.75
2,561
4.73
0.00
0.00
0
0.00
5 6
79,989,714,949,429.20 35,559,627,143,738.70
10.99 4.89
80,402,544,675.16 26,711,781,281.92
8.69 2.89
4,047 1,217
7.47 2.25
0.00 0.00
0.00 0.00
0 0
0.00 0.00
EAST JAVA KALIMANTAN UJUNG PANDANG
7.1
3,918,262,910,018.42
0.54
3,369,143,477.84
0.36
501
0.92
0.00
0.00
0
0.00
OTHERS
7.2
12,441,738,251,813.70
1.71
16,742,850,495.65
1.81
1,385
2.56
0.00
0.00
0
0.00
7 8
16,360,001,161,832.10 34,340,741,542,127.20
2.25 4.72
20,111,993,973.49 48,483,383,984.82
2.17 5.24
1,886 4,951
3.48 9.14
0.00 0.00
0.00 0.00
0 0
0.00 0.00
727,575,486,024,520.00
100.00
925,235,320,285.69
100.00
54,171 100.00
585,000,000.00
100.00
5
100.00
SULAWESI OTHERS TOTAL
91
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 30/06/2016 UNDERWRITING YEAR : POLICY STATUS :
2015 A;C;E;N;R
PROCESSING DATE :
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
Amount BANDA ACEH MEDAN OTHERS
NATIONAL GROSS PREMIUM %
1.1
6,141,601,804,000.44
0.17
1.2
63,889,296,581,726.00
1.3
73,669,154,188,693.50
NORTH SUMATERA PADANG
1 2.1
PALEMBANG OTHERS
Amount
%
NUMBER OF RISKS Amount
CLAIM %
11,785,599,285.02
0.23
718
0.32
1.80
97,225,437,051.47
1.87
7,725
2.08
126,734,201,855.26
2.44
5,079
143,700,052,574,420.00 36,655,158,022,094.80
4.05 1.03
235,745,238,191.75 70,819,531,809.72
4.55 1.37
2.2
33,798,674,812,124.20
0.95
36,572,926,437.13
2.3
291,161,279,894,249.00
8.21
407,664,855,919.00
SOUTH SUMATERA JAKARTA
2 3.1
361,615,112,728,468.00 603,665,395,916,498.00
10.19 17.01
515,057,314,165.85 951,905,134,288.47
BANDUNG
3.2
15,986,486,875,449.30
0.45
28,163,366,145.05
0.54
2,670
OTHERS
3.3
978,294,317,135,281.00
27.57
1,467,153,062,779.34
28.29
50,174
WEST JAVA SEMARANG
3 4.1
1,597,946,199,927,230.00 13,098,483,886,134.10
45.03 0.37
2,447,221,563,212.86 15,651,806,441.84
47.19 0.30
103,916 1,132
YOGYAKARTA
4.2
395,664,005,102,035.00
11.15
674,987,543,541.51
13.01
OTHERS
4.3
174,512,888,913,458.00
4.92
234,935,854,063.27
4.53
CENTRAL JAVA SURABAYA
4 5.1
583,275,377,901,628.00 72,071,237,723,636.00
16.44 2.03
925,575,204,046.62 85,971,069,109.68
17.85 1.66
OTHERS
5.2
352,639,211,942,010.00
9.94
420,043,509,708.71
5 6
424,710,449,665,646.00 158,061,990,536,773.00
11.97 4.45
506,014,578,818.39 142,758,067,473.81
EAST JAVA KALIMANTAN
15/08/2016
CLAIM FREQUENCY
Amount
%
Amount
%
0.00
0.00
0
0.00
3.42
0.00
0.00
0
0.00
2.25
73,970,453.00
0.48
1
2.63
13,522 12,553
5.98 5.55
73,970,453.00 0.00
0.48 0.00
1 0
2.63 0.00
0.71
2,271
1.00
0.00
0.00
0
0.00
7.86
22,157
9.80
1,020,000,000.00
6.58
3
7.89
9.93 18.35
36,981 51,072
16.36 22.59
1,020,000,000.00 0.00
6.58 0.00
3 0
7.89 0.00
1.18
50,000,000.00
0.32
1
2.63
22.19
1,267,824,079.50
8.18
4
10.53
45.97 0.50
1,317,824,079.50 0.00
8.50 0.00
5 0
13.16 0.00
2,769
1.22
1,262,250,000.00
8.14
1
2.63
15,596
6.90
0.00
0.00
0
0.00
19,497 6,730
8.62 2.98
1,262,250,000.00 0.00
8.14 0.00
1 0
2.63 0.00
8.10
11,672
5.16
98,665,500.00
0.64
2
5.26
9.76 2.75
18,402 7,460
8.14 3.30
98,665,500.00 8,380,965,985.00
0.64 54.08
2 3
5.26 7.89
UJUNG PANDANG
7.1
19,283,668,388,191.90
0.54
17,703,152,061.96
0.34
2,846
1.26
0.00
0.00
0
0.00
OTHERS
7.2
134,217,142,489,941.00
3.78
199,208,722,783.98
3.84
6,578
2.91
0.00
0.00
0
0.00
7 8
153,500,810,878,133.00 125,612,350,226,111.00
4.33 3.54
216,911,874,845.94 196,969,963,920.42
4.18 3.80
9,424 16,867
4.17 7.46
0.00 3,343,759,661.00
0.00 21.58
0 23
0.00 60.53
3,548,422,344,438,400.00
100.00
5,186,253,804,675.64
100.00
226,069 100.00
15,497,435,678.50
100.00
38
100.00
SULAWESI OTHERS TOTAL
92
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 30/06/2016 UNDERWRITING YEAR : POLICY STATUS :
2014 A;C;E;N;R
PROCESSING DATE :
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
Amount BANDA ACEH MEDAN OTHERS
15/08/2016
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
1.1
6,475,407,234,598.72
0.21
13,175,727,569.19
0.26
629
0.27
0.00
0.00
0
0.00
1.2
52,110,368,958,437.30
1.67
72,239,187,422.85
1.45
7,670
3.26
0.00
0.00
0
0.00
1.3
58,517,015,258,588.10
1.87
94,567,523,054.24
1.90
5,713
2.43
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
117,102,791,451,624.00 30,371,967,358,753.50
3.74 0.97
179,982,438,046.28 58,718,139,431.00
3.61 1.18
14,012 13,038
5.96 5.54
0.00 17,491,400.00
0.00 1.89
0 2
0.00 13.33
PALEMBANG
2.2
21,554,336,242,458.30
0.69
23,252,717,000.77
0.47
2,003
0.85
0.00
0.00
0
0.00
OTHERS
2.3
201,166,817,295,695.00
6.43
264,930,167,745.64
5.32
22,947
9.75
0.00
0.00
0
0.00
SOUTH SUMATERA JAKARTA
2 3.1
253,093,120,896,907.00 658,917,880,791,553.00
8.09 21.06
346,901,024,177.41 1,073,263,352,012.98
6.96 21.54
37,988 56,596
16.15 24.06
17,491,400.00 0.00
1.89 0.00
2 0
13.33 0.00
BANDUNG
3.2
11,893,458,933,650.00
0.38
19,254,064,602.35
0.39
2,240
0.95
0.00
0.00
0
0.00
OTHERS
3.3
1,133,077,727,588,530.00
36.22
2,013,038,160,095.69
40.41
49,958
21.23
0.00
0.00
0
0.00
WEST JAVA SEMARANG
3 4.1
1,803,889,067,313,730.00 8,625,538,080,025.90
57.66 0.28
3,105,555,576,711.02 12,202,049,078.47
62.33 0.24
108,794 1,225
46.24 0.52
0.00 0.00
0.00 0.00
0 0
0.00 0.00
YOGYAKARTA
4.2
14,163,785,910,344.90
0.45
21,779,543,027.53
0.44
2,673
1.14
0.00
0.00
0
0.00
OTHERS
4.3
151,207,217,056,487.00
4.83
215,485,150,196.70
4.33
15,389
6.54
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
173,996,541,046,858.00 76,850,867,284,379.20
5.56 2.46
249,466,742,302.70 106,515,986,624.73
5.01 2.14
19,287 8,730
8.20 3.71
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
340,158,955,158,059.00
10.87
498,107,485,090.33
10.00
12,371
5.26
111,029,676.05
12.03
3
20.00
5 6
417,009,822,442,438.00 142,879,365,910,800.00
13.33 4.57
604,623,471,715.06 148,586,792,650.71
12.14 2.98
21,101 8,043
8.97 3.42
111,029,676.05 0.00
12.03 0.00
3 0
20.00 0.00
UJUNG PANDANG
7.1
24,311,146,578,168.80
0.78
28,032,235,030.75
0.56
2,469
1.05
0.00
0.00
0
0.00
OTHERS
7.2
99,234,279,627,988.20
3.17
157,425,936,082.13
3.16
6,572
2.79
78,511,425.00
8.51
3
20.00
7 8
123,545,426,206,157.00 96,893,588,579,564.60
3.95 3.10
185,458,171,112.88 161,503,229,586.14
3.72 3.24
9,041 17,009
3.84 7.23
78,511,425.00 716,054,642.51
8.51 77.57
3 7
20.00 46.67
3,128,409,723,848,080.00
100.00
4,982,077,446,302.20
100.00
235,275 100.00
923,087,143.56
100.00
15
100.00
EAST JAVA KALIMANTAN
SULAWESI OTHERS TOTAL
93
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 30/06/2016 UNDERWRITING YEAR : POLICY STATUS :
2013 A;C;E;N;R
PROCESSING DATE :
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
15/08/2016
Amount
NATIONAL GROSS PREMIUM
NUMBER OF RISKS
%
Amount
%
1.1
0.17
8,793,701,049.39
0.19
619
0.33
21,000,000.00
0.01
1
1.61
1.2
48,019,992,924,050.20
1.74
65,223,188,467.82
1.44
6,621
3.49
0.00
0.00
0
0.00
1.3
49,698,131,924,414.50
1.80
76,015,361,701.04
1.68
4,058
2.14
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
102,349,308,871,720.00 27,224,177,532,224.50
3.71 0.99
150,032,251,218.25 52,486,316,668.76
3.31 1.16
11,298 10,870
5.96 5.74
21,000,000.00 6,710,774.00
0.01 0.00
1 1
1.61 1.61
PALEMBANG
2.2
23,230,068,194,777.00
0.84
24,543,573,931.00
0.54
1,879
0.99
0.00
0.00
0
0.00
OTHERS
2.3
150,917,658,041,520.00
5.47
195,095,364,770.60
4.31
18,026
9.51
3,997,822.00
0.00
1
1.61
SOUTH SUMATERA JAKARTA
2 3.1
201,371,903,768,522.00 435,498,377,729,793.00
7.30 15.79
272,125,255,370.36 701,981,021,509.03
6.01 15.50
30,775 47,690
16.24 25.16
10,708,596.00 0.00
0.00 0.00
2 0
3.23 0.00
BANDUNG
3.2
10,570,455,885,753.00
0.38
16,529,374,668.67
0.36
2,131
1.12
22,511,000.00
0.01
1
1.61
OTHERS
3.3
987,768,369,777,405.00
35.81
1,693,953,972,756.56
37.40
38,938
20.55
0.00
0.00
0
0.00
WEST JAVA SEMARANG
3 4.1
1,433,837,203,392,950.00 8,898,713,851,285.73
51.98 0.32
2,412,464,368,934.26 11,848,913,643.96
53.26 0.26
88,759 921
46.83 0.49
22,511,000.00 0.00
0.01 0.00
1 0
1.61 0.00
YOGYAKARTA
4.2
8,573,422,953,780.61
0.31
13,359,528,097.89
0.29
2,194
1.16
1,623,236,421.00
0.60
6
9.68
OTHERS
4.3
136,817,917,431,266.00
4.96
186,340,867,155.20
4.11
10,553
5.57
7,391,016,709.83
2.71
6
9.68
CENTRAL JAVA SURABAYA
4 5.1
154,290,054,236,332.00 134,246,529,078,293.00
5.59 4.87
211,549,308,897.05 220,165,202,017.78
4.67 4.86
13,668 6,256
7.21 3.30
9,014,253,130.83 0.00
3.31 0.00
12 0
19.35 0.00
OTHERS
5.2
233,182,071,594,038.00
8.45
342,468,451,316.90
7.56
8,456
4.46
263,077,555,767.99
96.63
41
66.13
5 6
367,428,600,672,331.00 128,384,392,940,167.00
13.32 4.65
562,633,653,334.68 133,815,627,170.69
12.42 2.95
14,712 7,069
7.76 3.73
263,077,555,767.99 0.00
96.63 0.00
41 0
66.13 0.00
UJUNG PANDANG
7.1
14,118,612,393,835.50
0.51
14,247,083,505.40
0.31
2,059
1.09
0.00
0.00
0
0.00
OTHERS
7.2
39,288,281,762,787.70
1.42
63,921,593,589.15
1.41
6,272
3.31
53,658,000.00
0.02
1
1.61
7 8
53,406,894,156,623.20 317,201,596,012,869.00
1.94 11.50
78,168,677,094.55 708,806,799,296.84
1.73 15.65
8,331 14,912
4.40 7.87
53,658,000.00 41,377,662.88
0.02 0.02
1 4
1.61 6.45
2,758,269,954,051,520.00
100.00
4,529,595,941,316.68
100.00
189,524 100.00
272,241,064,157.70
100.00
62
100.00
MEDAN OTHERS
EAST JAVA KALIMANTAN
SULAWESI OTHERS TOTAL
94
%
CLAIM FREQUENCY
4,631,184,023,255.03
BANDA ACEH
Amount
CLAIM Amount
%
Amount
%
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 30/06/2016 UNDERWRITING YEAR : POLICY STATUS :
2012 A;C;E;N;R
CRESTA ZONE
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGAT EXPOSURE Amount
%
NATIONAL GROSS PREMIUM Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
BANDA ACEH
1.1
3,887,973,784,587.20
0.20
7,358,293,470.29
0.27
591
0.34
1,338,645,096.00
75.52
6
33.33
MEDAN
1.2
39,930,432,753,351.10
2.02
49,827,911,349.22
1.83
6,014
3.46
14,936,201.00
0.84
2
11.11
OTHERS
1.3
39,955,150,550,405.30
2.02
52,403,810,973.16
1.93
4,665
2.68
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
83,773,557,088,343.60 19,055,410,642,420.70
4.24 0.97
109,590,015,792.67 35,946,417,129.86
4.03 1.32
11,270 10,881
6.48 6.26
1,353,581,297.00 0.00
76.36 0.00
8 0
44.44 0.00
PALEMBANG
2.2
19,002,600,284,678.90
0.96
17,787,082,345.65
0.65
1,536
0.88
0.00
0.00
0
0.00
OTHERS
2.3
134,587,644,567,246.00
6.82
156,352,267,409.20
5.75
17,450
10.04
28,314,000.00
1.60
1
5.56
SOUTH SUMATERA JAKARTA
2 3.1
172,645,655,494,345.00 400,177,640,620,151.00
8.74 20.27
210,085,766,884.71 600,168,864,300.49
7.72 22.05
29,867 36,284
17.18 20.87
28,314,000.00 0.00
1.60 0.00
1 0
5.56 0.00
BANDUNG
3.2
11,047,671,688,987.80
0.56
16,558,379,845.44
0.61
1,991
1.15
0.00
0.00
0
0.00
OTHERS
3.3
662,621,262,221,902.00
33.56
967,810,413,315.05
35.56
36,740
21.14
17,438,200.00
0.98
1
5.56
WEST JAVA SEMARANG
3 4.1
1,073,846,574,531,040.00 7,152,358,175,509.66
54.39 0.36
1,584,537,657,460.98 8,914,059,462.70
58.23 0.33
75,015 810
43.15 0.47
17,438,200.00 0.00
0.98 0.00
1 0
5.56 0.00
YOGYAKARTA
4.2
9,305,354,884,895.54
0.47
14,164,989,798.35
0.52
2,314
1.33
0.00
0.00
0
0.00
OTHERS
4.3
102,787,042,600,585.00
5.21
128,804,438,779.71
4.73
10,375
5.97
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
119,244,755,660,990.00 51,275,273,090,249.70
6.04 2.60
151,883,488,040.76 65,676,958,636.45
5.58 2.41
13,499 6,197
7.77 3.57
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
242,017,361,804,202.00
12.26
314,183,075,268.54
11.54
7,852
4.52
0.00
0.00
0
0.00
5 6
293,292,634,894,452.00 101,470,729,177,791.00
14.86 5.14
379,860,033,904.99 93,906,401,358.81
13.96 3.45
14,049 7,644
8.08 4.40
0.00 0.00
0.00 0.00
0 0
0.00 0.00
UJUNG PANDANG
7.1
10,444,854,149,882.30
0.53
9,998,687,306.13
0.37
1,916
1.10
0.00
0.00
0
0.00
OTHERS
7.2
54,000,807,954,031.10
2.74
82,776,302,886.72
3.04
6,228
3.58
77,942,400.00
4.40
2
11.11
7 8
64,445,662,103,913.30 65,589,745,726,182.70
3.26 3.32
92,774,990,192.85 98,763,281,538.96
3.41 3.63
8,144 14,339
4.69 8.25
77,942,400.00 295,394,374.84
4.40 16.66
2 6
11.11 33.33
1,974,309,314,677,060.00
100.00
2,721,401,635,174.73
100.00
173,827 100.00
1,772,670,271.84
100.00
18
100.00
EAST JAVA KALIMANTAN
SULAWESI OTHERS TOTAL
95
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 30/06/2016 UNDERWRITING YEAR POLICY STATUS
: 2016 : A;C;E;N;R
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
NUMBER OF RISKS
%
Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
4,284,400,692,502.40
0.59
5,495,439,851.01
0.59
189.00
0.35
0.00
0.00
0.00
0.00
COMMERCIAL
C
185,061,294,025,596.00
25.44
242,709,631,265.67
26.23
25,085.00
46.31
200,000,000.00
34.19
1.00
20.00
INDUSTRIAL
I
442,466,471,907,245.00
60.81
541,797,006,182.77
58.56
4,236.00
7.82
0.00
0.00
0.00
0.00
RESIDENTIAL
R
95,763,319,399,175.90
13.16
135,233,242,986.23
14.62
24,661.00
45.52
385,000,000.00
65.81
4.00
80.00
727,575,486,024,520.00
100.00
925,235,320,285.68
100.00
54,171.00
100.00
585,000,000.00
100.00
5.00
100.00
T OT AL
96
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 30/06/2016 UNDERWRITING YEAR POLICY STATUS
: 2015 : A;C;E;N;R
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
NUMBER OF RISKS
%
Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
24,272,759,308,636.30
0.68
29,683,728,427.87
0.57
390.00
0.17
0.00
0.00
0.00
0.00
COMMERCIAL
C
1,156,994,601,212,960.00
32.61
1,795,033,569,542.69
34.61
123,845.00
54.78
5,959,405,013.50
38.45
25.00
65.79
INDUSTRIAL
I
2,001,960,758,686,080.00
56.42
2,816,715,072,071.75
54.31
17,165.00
7.59
7,680,965,985.00
49.56
2.00
5.26
RESIDENTIAL
R
365,194,225,230,728.00
10.29
544,821,434,633.33
10.51
84,669.00
37.45
1,857,064,680.00
11.98
11.00
28.95
3,548,422,344,438,400.00
100.00
5,186,253,804,675.64
100.00
226,069.00
100.00
15,497,435,678.50
100.00
38.00
100.00
T OT AL
97
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 30/06/2016 UNDERWRITING YEAR POLICY STATUS
: 2014 : A;C;E;N;R
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
NUMBER OF RISKS
%
Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
22,680,577,973,934.20
0.72
29,149,815,450.64
0.59
753.00
0.32
0.00
0.00
0.00
0.00
COMMERCIAL
C
745,326,562,404,427.00
23.82
1,118,227,459,156.76
22.45
124,558.00
52.94
624,550,950.05
67.66
10.00
66.67
INDUSTRIAL
I
1,975,030,012,455,890.00
63.13
3,219,326,810,662.98
64.62
18,903.00
8.03
200,000,000.00
21.67
1.00
6.67
RESIDENTIAL
R
385,372,571,013,830.00
12.32
615,373,361,031.83
12.35
91,061.00
38.70
98,536,193.51
10.67
4.00
26.67
3,128,409,723,848,080.00
100.00
4,982,077,446,302.21
100.00
235,275.00
100.00
923,087,143.56
100.00
15.00
100.00
T OT AL
98
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 30/06/2016 UNDERWRITING YEAR POLICY STATUS
: 2013 : A;C;E;N;R
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
NUMBER OF RISKS
%
Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
25,959,872,979,597.60
0.94
35,250,816,165.82
0.78
535.00
0.28
0.00
0.00
0.00
0.00
COMMERCIAL
C
997,263,063,430,009.00
36.16
1,811,968,360,691.29
40.00
100,683.00
53.12
271,246,520,180.70
99.63
49.00
79.03
INDUSTRIAL
I
1,417,513,943,627,160.00
51.39
2,207,809,139,946.27
48.74
18,433.00
9.73
890,057,888.00
0.33
5.00
8.06
RESIDENTIAL
R
317,533,074,014,750.00
11.51
474,567,624,513.30
10.48
69,873.00
36.87
104,486,089.00
0.04
8.00
12.90
2,758,269,954,051,520.00
100.00
4,529,595,941,316.68
100.00
189,524.00
100.00
272,241,064,157.70
100.00
62.00
100.00
T OT AL
99
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 30/06/2016 UNDERWRITING YEAR POLICY STATUS
: 2012 : A;C;E;N;R
PROCESSING DATE : 15/08/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
23,543,592,772,030.10
1.19
29,419,229,652.86
1.08
420.00
0.24
0.00
0.00
0.00
0.00
COMMERCIAL
C
458,553,032,623,053.00
23.23
658,376,861,883.61
24.19
94,595.00
54.42
1,636,685,520.49
92.33
16.00
88.89
INDUSTRIAL
I
1,261,133,480,936,090.00
63.88
1,686,073,034,503.53
61.96
17,199.00
9.89
0.00
0.00
0.00
0.00
RESIDENTIAL
R
231,079,208,345,890.00
11.70
347,532,509,134.70
12.77
61,613.00
35.45
135,984,751.35
7.67
2.00
11.11
1,974,309,314,677,060.00
100.00
2,721,401,635,174.70
100.00
173,827.00
100.00
1,772,670,271.84
100.00
18.00
100.00
T OT AL
100
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 30/06/2016
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2016 : A;C;E;N;R
Cresta ID
PROCESSING DATE :
8/15/2016
In IDR NATIONAL AGGREGAT EXPOSURE Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
01. NAD
IDN_AC
2,133,410,954,207.05
0.29
3,831,187,386.32
0.41
514.00
0.95
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
22,207,086,171,746.30
3.05
32,570,011,984.82
3.52
2,966.00
5.48
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
6,471,087,738,551.61
0.89
11,817,051,639.45
1.28
5,842.00
10.78
510,000,000.00
87.18
4.00
80.00
04. RIAU
IDN_RI
13,800,995,109,011.40
1.90
16,797,809,602.46
1.82
1,042.00
1.92
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
1,808,595,641,751.77
0.25
2,105,444,234.85
0.23
944.00
1.74
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
6,141,582,382,227.57
0.84
7,477,297,995.23
0.81
711.00
1.31
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
1,055,065,311,955.32
0.15
1,921,037,712.70
0.21
594.00
1.10
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
15,786,592,179,170.60
2.17
22,600,880,292.26
2.44
905.00
1.67
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
709,788,562,531.02
0.10
594,565,228.90
0.06
161.00
0.30
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
18,023,718,493,673.90
2.48
13,685,980,514.59
1.48
402.00
0.74
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
127,948,814,292,811.00
17.59
186,487,644,888.00
20.16
11,255.00
20.78
75,000,000.00
12.82
1.00
20.00
12. JAWA BARAT
IDN_JB
196,562,880,018,594.00
27.02
240,157,613,802.86
25.96
8,640.00
15.95
0.00
0.00
0.00
0.00
13. JAWA TENGAH
IDN_JT
45,540,135,508,456.10
6.26
62,696,634,848.22
6.78
3,192.00
5.89
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
4,136,044,024,078.07
0.57
6,036,854,055.48
0.65
1,121.00
2.07
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
79,989,714,949,429.20
10.99
80,402,544,675.16
8.69
4,047.00
7.47
0.00
0.00
0.00
0.00
16. BANTEN
IDN_BT
98,999,604,838,626.60
13.61
140,745,602,184.17
15.21
3,781.00
6.98
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
27,103,787,246,733.00
3.73
37,852,667,678.63
4.09
3,125.00
5.77
0.00
0.00
0.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
2,155,144,951,750.88
0.30
3,105,169,636.41
0.34
577.00
1.07
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
472,373,766,401.83
0.06
654,835,366.90
0.07
181.00
0.33
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
1,506,234,031,634.04
0.21
1,134,392,750.41
0.12
204.00
0.38
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
1,252,718,556,190.84
0.17
940,734,710.29
0.10
153.00
0.28
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
10,065,382,790,485.60
1.38
7,505,232,203.19
0.81
253.00
0.47
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
21,841,821,801,356.50
3.00
16,461,672,334.53
1.78
510.00
0.94
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
3,452,501,472,827.63
0.47
5,416,574,740.77
0.59
552.00
1.02
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
1,811,404,691,538.95
0.25
3,305,242,889.70
0.36
239.00
0.44
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
9,242,954,434,661.20
1.27
8,403,291,071.23
0.91
754.00
1.39
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
1,089,570,149,491.65
0.15
1,723,771,243.27
0.19
121.00
0.22
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
365,491,481,968.07
0.05
688,365,873.30
0.07
161.00
0.30
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
398,078,931,344.58
0.05
574,748,155.23
0.06
59.00
0.11
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
1,013,321,838,624.36
0.14
1,909,376,371.06
0.21
228.00
0.42
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
330,283,738,836.76
0.05
565,425,207.12
0.06
81.00
0.15
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
580,356,611,847.23
0.08
882,494,605.51
0.10
346.00
0.64
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
2,685,473,387,933.19
0.37
3,513,415,119.19
0.38
413.00
0.76
0.00
0.00
0.00
0.00
34. KALIMANTAN UTARA
IDN_KU
893,469,964,071.76
0.12
669,749,283.49
0.07
97.00
0.18
0.00
0.00
0.00
0.00
727,575,486,024,520.00
100.00
925,235,320,285.70
100.00
54,171.00
100.00
585,000,000.00
100.00
5.00
100.00
T OT AL
101
0.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 30/06/2016
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2015 : A;C;E;N;R
Cresta ID
PROCESSING DATE :
8/15/2016
In IDR NATIONAL AGGREGAT EXPOSURE Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
01. NAD
IDN_AC
14,404,824,282,123.70
0.41
28,542,465,121.82
0.55
1,920.00
0.85
73,970,453.00
0.48
1.00
2.63
02. SUMATERA UTARA
IDN_SU
129,295,228,292,296.00
3.64
207,202,773,069.92
4.00
11,602.00
5.13
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
49,291,429,456,060.70
1.39
96,539,586,683.86
1.86
17,469.00
7.73
1,010,000,000.00
6.52
2.00
5.26
04. RIAU
IDN_RI
130,343,092,784,937.00
3.67
187,928,221,808.09
3.62
4,458.00
1.97
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
13,347,780,061,572.20
0.38
16,218,024,920.25
0.31
2,158.00
0.95
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
66,870,441,181,208.50
1.88
83,663,567,291.63
1.61
3,850.00
1.70
10,000,000.00
0.06
1.00
2.63
07. BENGKULU
IDN_BE
4,836,051,236,717.56
0.14
9,162,242,772.88
0.18
2,335.00
1.03
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
46,430,449,559,802.80
1.31
72,534,991,279.11
1.40
4,233.00
1.87
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
6,598,027,645,730.98
0.19
5,994,802,745.37
0.12
684.00
0.30
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
43,897,840,802,438.20
1.24
43,015,876,664.66
0.83
1,794.00
0.79
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
603,665,395,916,498.00
17.01
951,905,134,288.47
18.35
51,072.00
22.59
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
676,496,161,300,846.00
19.06
984,399,687,150.38
18.98
36,542.00
16.16
1,317,824,079.50
8.50
5.00
13.16
13. JAWA TENGAH
IDN_JT
183,731,200,618,310.00
5.18
244,132,350,852.87
4.71
14,714.00
6.51
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
399,544,177,283,318.00
11.26
681,442,853,193.74
13.14
4,783.00
2.12
1,262,250,000.00
8.14
1.00
2.63
15. JAWA TIMUR
IDN_JI
424,710,449,665,646.00
11.97
506,014,578,818.40
9.76
18,402.00
8.14
98,665,500.00
0.64
2.00
5.26
16. BANTEN
IDN_BT
317,784,642,709,884.00
8.96
510,916,741,774.01
9.85
16,302.00
7.21
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
98,088,831,940,924.60
2.76
148,449,146,084.18
2.86
10,173.00
4.50
5,000,000.00
0.03
1.00
2.63
18. NUSA TENGGARA BARAT
IDN_NB
8,685,469,646,549.46
0.24
16,048,076,661.30
0.31
1,613.00
0.71
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
3,059,676,570,048.89
0.09
4,964,288,616.87
0.10
605.00
0.27
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
11,685,803,975,370.80
0.33
9,267,288,914.18
0.18
1,545.00
0.68
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
26,982,622,767,472.50
0.76
24,492,565,629.36
0.47
875.00
0.39
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
36,973,230,366,363.30
1.04
32,556,905,158.27
0.63
1,912.00
0.85
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
81,614,202,757,818.50
2.30
75,751,544,447.42
1.46
3,008.00
1.33
8,380,965,985.00
54.08
3.00
7.89
24. SULAWESI UTARA
IDN_SA
18,179,266,869,301.80
0.51
34,008,300,664.92
0.66
2,497.00
1.10
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
8,240,704,815,819.12
0.23
15,015,104,992.32
0.29
1,165.00
0.52
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
104,737,113,089,608.00
2.95
141,617,493,232.18
2.73
4,401.00
1.95
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
16,500,053,744,979.20
0.46
16,726,588,134.77
0.32
685.00
0.30
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
2,672,213,830,619.12
0.08
5,129,714,175.05
0.10
490.00
0.22
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
3,171,458,527,805.18
0.09
4,414,673,646.70
0.09
186.00
0.08
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
2,832,110,722,344.72
0.08
5,547,441,227.49
0.11
839.00
0.37
25,960,000.00
0.17
2.00
5.26
31. MALUKU UTARA
IDN_MU
1,515,252,075,112.12
0.04
2,861,965,721.94
0.06
389.00
0.17
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
3,929,492,625,062.38
0.11
6,021,716,037.97
0.12
1,315.00
0.58
3,162,799,658.00
20.41
17.00
44.74
33. PAPUA
IDN_PA
7,501,516,646,068.73
0.21
13,077,329,570.67
0.25
1,933.00
0.86
150,000,003.00
0.97
3.00
7.89
34. KALIMANTAN UTARA
IDN_KU
806,130,669,747.37
0.02
689,763,324.58
0.01
120.00
0.05
0.00
0.00
0.00
0.00
3,548,422,344,438,400.00
100.00
5,186,253,804,675.63
100.00
226,069.00
100.00
15,497,435,678.50
100.00
38.00
100.00
T OT AL
102
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 30/06/2016
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2014 : A;C;E;N;R
Cresta ID
PROCESSING DATE :
8/15/2016
In IDR NATIONAL AGGREGAT EXPOSURE Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
01. NAD
IDN_AC
10,810,796,944,788.80
0.35
21,156,227,723.45
0.42
1,986.00
0.84
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
106,291,994,506,835.00
3.40
158,826,210,322.83
3.19
12,026.00
5.11
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
41,844,559,004,614.60
1.34
80,569,034,418.57
1.62
17,987.00
7.65
17,491,400.00
1.89
2.00
13.33
04. RIAU
IDN_RI
59,039,144,113,315.80
1.89
68,237,741,754.51
1.37
4,380.00
1.86
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
12,135,295,796,438.10
0.39
14,037,376,432.43
0.28
2,459.00
1.05
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
50,090,555,053,868.40
1.60
63,016,691,486.06
1.26
4,089.00
1.74
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
5,727,026,773,036.30
0.18
11,700,354,562.11
0.23
2,249.00
0.96
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
39,153,517,104,913.10
1.25
61,285,434,048.68
1.23
4,355.00
1.85
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
6,140,760,416,290.51
0.20
6,015,313,432.53
0.12
821.00
0.35
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
38,962,262,634,430.30
1.25
42,039,078,042.52
0.84
1,648.00
0.70
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
658,917,880,791,553.00
21.06
1,073,263,352,012.98
21.54
56,596.00
24.06
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
792,019,285,433,894.00
25.32
1,405,999,067,647.37
28.22
36,206.00
15.39
0.00
0.00
0.00
0.00
13. JAWA TENGAH
IDN_JT
152,245,632,818,042.00
4.87
214,419,805,376.80
4.30
14,776.00
6.28
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
21,750,908,228,816.40
0.70
35,046,936,925.90
0.70
4,511.00
1.92
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
417,009,822,442,438.00
13.33
604,623,471,715.06
12.14
21,101.00
8.97
111,029,676.05
12.03
3.00
20.00
16. BANTEN
IDN_BT
352,951,901,088,285.00
11.28
626,293,157,050.67
12.57
15,992.00
6.80
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
74,035,710,292,761.40
2.37
120,402,376,442.43
2.42
9,971.00
4.24
15,745,036.00
1.71
1.00
6.67
18. NUSA TENGGARA BARAT
IDN_NB
8,214,426,948,563.84
0.26
15,050,397,851.28
0.30
1,840.00
0.78
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
2,570,872,260,581.01
0.08
4,312,594,404.18
0.09
615.00
0.26
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
13,327,127,449,506.20
0.43
13,179,338,784.00
0.26
1,664.00
0.71
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
23,794,008,903,213.00
0.76
24,675,940,659.00
0.50
854.00
0.36
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
32,840,961,867,321.30
1.05
32,631,754,854.45
0.65
1,727.00
0.73
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
72,922,396,690,759.90
2.33
78,104,630,903.26
1.57
3,798.00
1.61
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
15,997,680,972,442.90
0.51
32,968,981,537.61
0.66
2,292.00
0.97
78,511,425.00
8.51
3.00
20.00
25. SULAWESI TENGAH
IDN_ST
3,848,534,873,989.42
0.12
6,429,170,184.65
0.13
997.00
0.42
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
93,647,146,280,532.70
2.99
131,813,160,424.80
2.65
4,314.00
1.83
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
4,278,354,002,317.50
0.14
4,320,391,706.58
0.09
644.00
0.27
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
2,742,222,995,389.40
0.09
5,369,868,537.19
0.11
592.00
0.25
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
3,031,487,081,485.09
0.10
4,556,598,722.04
0.09
202.00
0.09
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
2,560,734,786,547.66
0.08
4,973,074,125.06
0.10
776.00
0.33
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
996,579,046,347.49
0.03
1,945,383,223.54
0.04
406.00
0.17
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,880,973,709,319.36
0.09
4,735,485,860.43
0.10
1,369.00
0.58
688,071,568.51
74.54
5.00
33.33
33. PAPUA
IDN_PA
5,634,291,535,443.88
0.18
10,083,917,679.23
0.20
2,032.00
0.86
12,238,038.00
1.33
1.00
6.67
34. KALIMANTAN UTARA
IDN_KU
-5,129,000,000.00
0.00
-4,872,550.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
3,128,409,723,848,080.00
100.00
4,982,077,446,302.20
100.00
235,275.00
100.00
923,087,143.56
100.00
15.00
100.00
T OT AL
103
0.00
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 30/06/2016
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2013 : A;C;E;N;R
Cresta ID
PROCESSING DATE :
8/15/2016
In IDR NATIONAL AGGREGAT EXPOSURE Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
01. NAD
IDN_AC
9,115,117,293,870.24
0.43
16,248,179,341.27
0.36
1,652.00
0.87
24,004,968.00
0.01
2.00
3.23
02. SUMATERA UTARA
IDN_SU
88,467,285,205,864.50
4.21
133,784,071,876.98
2.95
9,646.00
5.09
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
23,704,691,539,292.50
1.13
71,374,768,387.71
1.58
15,639.00
8.25
10,708,596.00
0.00
2.00
3.23
04. RIAU
IDN_RI
35,064,056,469,754.20
1.67
56,970,960,860.70
1.26
3,565.00
1.88
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
8,231,659,638,051.55
0.39
12,503,224,385.16
0.28
1,940.00
1.02
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
30,750,924,977,797.60
1.46
47,956,576,539.54
1.06
2,912.00
1.54
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
4,060,325,847,435.66
0.19
9,919,463,583.07
0.22
1,847.00
0.97
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
27,534,812,464,501.00
1.31
41,048,588,970.66
0.91
3,082.00
1.63
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
3,156,384,885,166.98
0.15
4,388,908,764.44
0.10
491.00
0.26
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
24,051,937,806,463.70
1.14
27,962,763,879.10
0.62
1,299.00
0.69
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
464,788,039,293,112.00
22.10
701,981,021,509.03
15.50
47,690.00
25.16
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
400,857,876,017,649.00
19.06
1,231,624,342,472.46
27.19
28,631.00
15.11
22,511,000.00
0.01
1.00
1.61
13. JAWA TENGAH
IDN_JT
121,725,177,084,954.00
5.79
193,688,843,537.58
4.28
10,229.00
5.40
36,698,640.00
0.01
1.00
1.61
14. DIY
IDN_YO
11,854,836,649,440.00
0.56
17,860,465,359.47
0.39
3,439.00
1.81
1,023,236,421.00
0.38
5.00
8.06
15. JAWA TIMUR
IDN_JI
387,941,546,339,995.00
18.44
562,633,653,334.69
12.42
14,712.00
7.76
271,054,377,462.82
99.56
49.00
79.03
16. BANTEN
IDN_BT
213,570,391,693,733.00
10.15
478,859,004,952.77
10.57
12,438.00
6.56
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
43,280,980,532,299.20
2.06
681,203,353,620.28
15.04
8,100.00
4.27
0.00
0.00
0.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
3,077,047,054,149.34
0.15
8,855,521,003.67
0.20
1,365.00
0.72
15,869,069.88
0.01
1.00
1.61
19. NUSA TENGGARA TIMUR
IDN_NT
1,617,483,032,767.29
0.08
2,885,273,869.13
0.06
764.00
0.40
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
7,209,974,391,744.74
0.34
7,800,778,346.28
0.17
1,072.00
0.57
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
12,214,732,033,229.00
0.58
17,820,732,332.84
0.39
691.00
0.36
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
28,151,320,447,496.90
1.34
37,603,654,824.48
0.83
1,254.00
0.66
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
75,544,577,879,790.50
3.59
70,590,461,667.10
1.56
4,052.00
2.14
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
20,475,241,127,098.30
0.97
34,254,606,338.33
0.76
1,859.00
0.98
53,658,000.00
0.02
1.00
1.61
25. SULAWESI TENGAH
IDN_ST
2,234,831,075,451.70
0.11
7,058,167,480.59
0.16
1,314.00
0.69
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
24,508,942,520,664.60
1.17
28,522,763,153.53
0.63
3,408.00
1.80
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
9,114,245,475,615.48
0.43
2,298,616,593.95
0.05
610.00
0.32
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
12,799,702,686,629.60
0.61
4,107,043,397.25
0.09
829.00
0.44
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
953,016,177,663.56
0.05
1,927,480,130.89
0.04
311.00
0.16
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
1,012,162,473,294.66
0.05
3,618,588,260.22
0.08
621.00
0.33
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
599,594,466,006.82
0.03
1,137,243,104.75
0.03
378.00
0.20
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,191,055,888,141.29
0.10
4,221,984,574.84
0.09
1,351.00
0.71
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
3,526,473,596,439.34
0.17
6,884,834,863.94
0.15
2,333.00
1.23
0.00
0.00
0.00
0.00
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2,103,386,444,065,560.00
100.00
4,529,595,941,316.70
100.00
189,524.00
100.00
272,241,064,157.70
100.00
62.00
100.00
T OT AL
104
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 30/06/2016
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2012 : A;C;E;N;R
Cresta ID
PROCESSING DATE :
01/02/2016
In IDR NATIONAL AGGREGAT EXPOSURE Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
01. NAD
IDN_AC
8,330,895,104,607.12
0.42
12,528,481,214.65
0.46
1,934.00
1.11
1,384,397,296.00
78.10
8.00
44.44
02. SUMATERA UTARA
IDN_SU
75,442,661,983,736.50
3.82
12,528,481,214.65
0.46
9,336.00
5.37
82,118,384.00
4.63
4.00
22.22
03. SUMATERA BARAT
IDN_SB
27,133,363,706,752.40
1.37
97,061,534,578.02
3.56
15,501.00
8.92
0.00
0.00
0.00
0.00
04. RIAU
IDN_RI
33,319,463,443,743.90
1.69
48,783,925,164.28
1.79
3,529.00
2.03
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
11,004,536,229,073.80
0.56
35,299,197,912.01
1.30
1,667.00
0.96
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
40,908,911,211,970.40
2.07
10,915,221,747.41
0.40
2,335.00
1.34
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
4,460,385,210,968.84
0.23
42,667,530,496.39
1.57
2,119.00
1.22
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
28,324,556,957,773.60
1.43
8,307,289,514.39
0.30
3,028.00
1.74
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
3,776,611,255,319.56
0.19
40,036,126,531.07
1.47
523.00
0.30
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
23,717,827,478,743.10
1.20
3,403,314,549.65
0.12
1,165.00
0.67
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
400,177,640,620,151.00
20.27
20,673,160,969.51
0.76
36,284.00
20.87
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
456,402,985,831,360.00
23.12
600,168,864,300.49
22.03
27,291.00
15.70
0.00
0.00
0.00
0.00
13. JAWA TENGAH
IDN_JT
107,599,540,093,588.00
5.45
665,798,295,764.90
24.44
10,221.00
5.88
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
11,645,215,567,402.70
0.59
134,205,061,880.52
4.93
3,278.00
1.89
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
293,292,634,894,452.00
14.86
17,678,426,160.24
0.65
14,049.00
8.08
0.00
0.00
0.00
0.00
16. BANTEN
IDN_BT
217,265,948,079,530.00
11.00
379,860,033,904.99
13.94
11,440.00
6.58
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
50,307,484,051,839.30
2.55
318,570,497,395.58
11.69
7,638.00
4.39
177,275,145.84
10.00
3.00
16.67
18. NUSA TENGGARA BARAT
IDN_NB
3,872,366,415,500.33
0.20
73,264,139,805.44
2.69
1,488.00
0.86
50,937,046.00
2.87
1.00
5.56
19. NUSA TENGGARA TIMUR
IDN_NT
2,139,957,825,720.15
0.11
7,167,883,678.98
0.26
971.00
0.56
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
6,322,259,558,617.00
0.32
3,302,437,014.52
0.12
1,823.00
1.05
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
11,800,058,892,551.60
0.60
5,638,300,533.46
0.21
700.00
0.40
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
14,661,265,575,615.70
0.74
10,685,751,241.15
0.39
1,280.00
0.74
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
68,687,145,151,006.50
3.48
13,364,569,692.20
0.49
3,841.00
2.21
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
11,251,956,214,549.50
0.57
64,217,779,892.00
2.36
1,877.00
1.08
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
2,137,386,276,386.25
0.11
21,150,115,186.79
0.78
1,231.00
0.71
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
26,808,326,792,795.70
1.36
3,376,340,442.68
0.12
3,194.00
1.84
77,942,400.00
4.40
2.00
11.11
27. SULAWESI TENGGARA
IDN_SG
9,055,150,591,377.57
0.46
27,825,514,830.73
1.02
577.00
0.33
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
14,073,410,601,299.70
0.71
10,830,303,412.93
0.40
1,011.00
0.58
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
1,119,431,627,504.72
0.06
27,916,176,981.64
1.02
254.00
0.15
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
1,327,598,149,671.43
0.07
1,676,539,338.07
0.06
513.00
0.30
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
805,164,815,352.22
0.04
2,445,393,617.83
0.09
428.00
0.25
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
3,465,126,538,532.94
0.18
1,423,563,178.93
0.05
1,280.00
0.74
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
3,672,047,929,566.26
0.19
1,423,563,178.93
0.05
2,021.00
1.16
0.00
0.00
0.00
0.00
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1,974,309,314,677,060.00
100.00
2,724,193,815,325.03
100.00
173,827.00
100.00
1,772,670,271.84
100.00
18.00
100.00
T OT AL
105
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 1 / Attachment 1
Daftar Istilah 1.
OCCUPATION A - AGRICULTURAL C - COMMERCIAL I - INDUSTRIAL R - RESIDENTIAL
2.
ZONES (BASED ON CRESTA-Catastrophe Risk Evaluating and Standardizing Target Accumulations) : 1.1 - Banda Aceh 1.2 - Medan 1.3 - Others 1 - North Sumatera
3.
2.1 2.2 2.3 2
-
Padang Palembang Others South Sumatera
3.1 3.2 3.3 3
-
DKI Jakarta Bandung Others DKI & West java
4.1 4.2 4.3 4 5.1 5.2 5
-
Semarang Yogyakarta Others DIY & Central Java Surabaya Others East Java
6
-
Kalimantan
7.1 7.2 7
-
Ujung Pandang Others Sulawesi
8
-
Other Islands
f
:
Frequencies
:
106
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
F : Cum :
JUNI 2016
Accumulations of frequencies Cumulative (increasing in amount by one addition after another)
4.
Incurred Claim Outstanding Claims (100%) plus paid/settled claims (100%)
5.
Sum Insured The Sum Insured represents 100% Sum Insured
6.
Gross Premium Gross Premium represent 100% premium
7.
Loss Ratio The percentage ratio of Incurred claims to Gross Premium
107
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 2 / Attachment 2
TARIF PREMI ASURANSI GEMPA BUMI PADA LINI USAHA ASURANSI HARTA BENDA 1. Tarif Premi untuk Kerusakan Fisik dan Gangguan Usaha dengan Harga Pertanggungan Nilai Penuh (Full Value Basis) dengan Indemnity Period 12 bulan berdasarkan Surat Edaran OJK Nomor: SE06/D.05/2013, tanggal 31 Desember 2013. Commercial and Industrial (Non Dwelling House) Tarif Premi per mil (%o)
Kelas Konstruksi
Steel, Wood and RC Frame
Zona I
Zona II
Zona III
Zona IV
Zona V
< 9 Storeys
0,90
0,95
1,25
1,50
1,90
> 9 Storeys
1,35
1,45
1,55
1,60
2,00
1,00
1,10
1,55
3,00
4,70
Others Dwelling House – occupation code 2976
Tarif Premi per mil (%o)
Kelas Konstruksi
Zona I
Zona II
Zona III
Zona IV
Zona V
Steel, Wood and RC Frame
0,85
0,95
1,15
1,35
1,60
Others
0,90
1,00
1,55
2,75
4,50
Zona mengacu pada Lampiran 6 kolom Zona* Aturan Tambahan a. Untuk gedung bertingkat yang mempunyai bangunan di bawah tanah yang lazim disebut “basement” atau “semi basement” atau dengan nama apapun, lantai bawah tanah tersebut juga diperhitungkan dalam menentukan jumlah lantai. Dengan demikian, semua lantai dihitung, baik lantai yang ada di atas tanah maupun yang di bawah tanah. b. Untuk tower antena yang lazim digunakan sebagai pemancar radio, jaringan listrik, jaringan telepon genggam dan sejenisnya, tingginya tower (dihitung dari permukaan tanah) dianggap sebagai ukuran jumlah lantai, dengan menggunakan dasar perhitungan tinggi 1 (satu) lantai adalah +/- 4 meter. DEFINISI COMMERCIAL AND INDUSTRIAL
: Obyek selain okupasi dwelling house (kode okupasi selain 2976)
Steel Frame
: struktur bangunan yang menggunakan Baja sebagai rangkanya
108
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
Wood
JUNI 2016
: struktur bangunan yang menggunakan kayu sebagai rangkanya
Reinforced Concrete
: struktur bangunan yang menggunakan beton bertulang sebagai rangkanya
Others (Incl. No Frame)
: struktur bangunan selain konstruksi baja, beton bertulang atau rangka kayu; termasuk bangunan yang terbuat dari susunan batu tanpa rangka
DWELLING HOUSE
Steel, Wood or RC Frame
: Obyek dengan kode okupasi 2976 : struktur bangunan rumah tinggal dengan konstruksi baja, beton bertulang atau rangka kayu
Others
: struktur bangunan rumah tinggal selain konstruksi baja, beton bertulang atau rangka kayu termasuk bangunan rumah tinggal yang terbuat dari susunan batu tanpa rangka.
2. Tarif Premi atau Kontribusi untuk Kerusakan Fisik dan Gangguan Usaha dengan harga pertanggungan Nilai Penuh (full value basis) dengan indemnity period 12 bulan berdasarkan Surat Edaran OJK Nomor: NOMOR 21/SEOJK.05/2015, 30 Juni 2015 Commercial and Industrial (Non Dwelling House)
Tarif Premi atau Kontribusi per mil (%o) Kelas Konstruksi
Zona I
Zona II
Zona III
Zona IV
Zona V
Com: Steel, Wood, RC < 9
0,75
0,76
1,00
1,43
1,90
Com: Steel, Wood, RC > 9
1,12
1,15
1,22
1,53
2,00
Com: Others
0,80
1,04
1,55
2,46
4,70
Dwelling House – occupation code 2976
Tarif Premi atau Kontribusi per mil (%o) Kelas Konstruksi
Zona I
Zona II
Zona III
Zona IV
Zona V
DW: Steel, Wood, RC
0,76
0,79
1,04
1,35
1,60
DW: Others
0,80
1,00
1,55
2,24
4,50
Zona mengacu pada Lampiran 6 kolom Zona** 109
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
DEFINISI Konstruksi Commercial
Objek pertanggungan dengan kode okupasi selain rumah tinggal (Kode Okupasi selain 2976)
Com: Steel, Wood, RC < 9
Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai sampai dengan 9 lantai
Com: Steel, Wood, RC > 9
Konstruksi bangunan menggunakan rangka Baja, Kayu, Beton Bertulang, dengan jumlah lantai lebih dari 9 lantai
Com: Others
Konstruksi bangunan tanpa menggunakan rangka Baja, Kayu, dan Beton Bertulang
Dwelling House
Objek pertanggungan rumah tinggal dengan kode okupasi 2976 (Semua kelas konstruksi)
DW: Steel, Wood, RC
Konstruksi rumah tinggal yang menggunakan rangka Baja, Kayu, Beton Bertulang
DW: Others
Konstruksi rumah tinggal tanpa menggunakan rangka Baja, Kayu, dan Beton Bertulang
DEDUCTIBLE 0 – USD 100 Juta > USD 100 Juta s/d USD 300 Juta > USD 300 Juta
= 2.5% of TSI = 2.5% of TSI maksimum USD 3 Juta = Minimum USD 2 Juta
BUSSINES INTERRUPTION Commercial 0 – USD 100 Juta > USD 100 Juta s/d USD 300 Juta > USD 300 Juta
Minimum 14 Hari Minimum 21 Hari Minimum 30 Hari
Industrial Minimum 21 Hari Minimum 30 Hari Minimum 45 Hari
DEFINISI COMMERCIAL DAN INDUSTRIAL Industrial → Mengacu pada kode okupasi 200-287 dan 2911-2915 sebagaimana dimaksud pada Lampiran I Tabel I.A Commercial →Mengacu pada kode okupasi 2901-2909 dan 2921-2969 sebagaimana dimaksud pada Lampiran I Tabel I.A
110
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Agricultural → Mengacu pada kode okupasi 40 dan 300-318 sebagaimana dimaksud pada Lampiran I Tabel I.A Residental → Mengacu pada kode okupasi 2971-2992 sebagaimana dimaksud pada Lampiran I Tabel I.A (Red: Lampiran I Tabel I.A terdapat dalam Surat Edaran OJK Nomor: NOMOR 21/SEOJK.05/2015, 30 Juni 2015) Aturan Tambahan a. Untuk gedung bertingkat yang mempunyai bangunan di bawah tanah yang lazim disebut “basement” atau “semi basement” atau dengan nama apapun, lantai bawah tanah tersebut juga diperhitungkan dalam menentukan jumlah lantai. Dengan demikian, semua lantai dihitung, baik lantai yang ada di atas tanah maupun yang di bawah tanah. b. Untuk tower antena yang lazim digunakan sebagai pemancar radio, jaringan listrik, jaringan telepon genggam dan sejenisnya, tingginya tower (dihitung dari permukaan tanah) dianggap sebagai ukuran jumlah lantai, dengan menggunakan dasar perhitungan tinggi 1 (satu) lantai adalah hingga 4 meter.
111
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 3 / Attachment 3
ZONA ASURANSI GEMPA BUMI INDONESIA PROVINSI BALI
BANTEN
BENGKULU
D.I. YOGYAKARTA
DKI JAKARTA
GORONTALO
JAMBI
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. BADUNG
4
4
KAB. BANGLI
3
4
KAB. BULELENG
3
4
KAB. GIANYAR
4
4
KAB. JEMBRANA
3
4
KAB. KLUNGKUNG
3
4
KAB. TABANAN
3
4
KOTA DENPASAR
4
4
KAB. KARANG ASEM
3
5
KAB. LEBAK
4
4
KAB. SERANG
4
4
KAB. TANGERANG
4
4
KOTA CILEGON
4
4
KOTA SERANG
4
4
KOTA TANGERANG
4
4
KAB. PANDEGLANG
4
5
KOTA TANGERANG SELATAN
4
4
KAB. BENGKULU SELATAN
4
5
KAB. BENGKULU UTARA
5
5
KAB. KAUR
5
5
KAB. KEPAHIANG
5
5
KAB. LEBONG
5
5
KAB. MUKOMUKO
5
5
KAB. REJANG LEBONG
5
5
KAB. SELUMA
4
5
KOTA BENGKULU
5
5
KAB. BENGKULU TENGAH
5
5
KAB. BANTUL
5
4
KAB. GUNUNG KIDUL
4
4
KAB. KULON PROGO
4
4
KAB. SLEMAN
4
4
KOTA YOGYAKARTA
4
4
KAB. KEPULAUAN SERIBU
4
3
KOTA JAKARTA BARAT
4
4
KOTA JAKARTA PUSAT
4
4
KOTA JAKARTA SELATAN
4
4
KOTA JAKARTA TIMUR
4
4
KOTA JAKARTA UTARA
4
4
KAB. BOALEMO
5
5
KAB. BONE BOLANGO
5
5
KAB. GORONTALO
5
5
KAB. GORONTALO UTARA
5
5
KAB. POHUWATO
5
5
KOTA GORONTALO
5
5
KAB. BATANG HARI
3
2
KAB. MUARO JAMBI
3
2
KAB. TANJUNG JABUNG BARAT
3
2
112
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI JAMBI
JAWA BARAT
JAWA TENGAH
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. TANJUNG JABUNG TIMUR
3
2
KOTA JAMBI
3
2
KAB. BUNGO
4
3
KAB. SAROLANGUN
4
3
KAB. TEBO
3
3
KAB. MERANGIN
5
4
KAB. KERINCI
5
5
KOTA SUNGAI PENUH
5
5
KAB. CIREBON
3
3
KAB. INDRAMAYU
4
3
KAB. SUMEDANG
5
3
KOTA CIREBON
3
3
KAB. BANDUNG
4
4
KAB. BANDUNG BARAT
4
4
KAB. BEKASI
3
4
KAB. BOGOR
4
4
KAB. CIAMIS
4
4
KAB. CIANJUR
4
4
KAB. GARUT
4
4
KAB. KARAWANG
3
4
KAB. KUNINGAN
3
4
KAB. MAJALENGKA
3
4
KAB. PURWAKARTA
4
4
KAB. PANGANDARAN
4
4
KAB. SUBANG
5
4
KAB. SUKABUMI
4
4
KAB. TASIKMALAYA
4
4
KOTA BANDUNG
5
4
KOTA BANJAR
3
4
KOTA BEKASI
4
4
KOTA BOGOR
4
4
KOTA CIMAHI
5
4
KOTA DEPOK
4
4
KOTA SUKABUMI
5
4
KOTA TASIKMALAYA
3
4
KAB. BANYUMAS
3
3
KAB. BATANG
3
3
KAB. BLORA
3
3
KAB. BOYOLALI
3
3
KAB. BREBES
3
3
KAB. DEMAK
4
3
KAB. GROBOGAN
4
3
KAB. JEPARA
4
3
KAB. KARANGANYAR
4
3
KAB. KENDAL
3
3
KAB. KUDUS
4
3
KAB. PATI
4
3
KAB. PEKALONGAN
3
3
KAB. PEMALANG
3
3
KAB. PURBALINGGA
3
3
113
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI JAWA TENGAH
JAWA TIMUR
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. REMBANG
5
3
KAB. SEMARANG
3
3
KAB. SRAGEN
3
3
KAB. TEMANGGUNG
3
3
KOTA MAGELANG
3
3
KOTA PEKALONGAN
3
3
KOTA SALATIGA
3
3
KOTA SEMARANG
3
3
KOTA SURAKARTA
4
3
KOTA TEGAL
3
3
KAB. BANJARNEGARA
3
4
KAB. CILACAP
3
4
KAB. KEBUMEN
4
4
KAB. KLATEN
5
4
KAB. MAGELANG
4
4
KAB. PURWOREJO
4
4
KAB. SUKOHARJO
4
4
KAB. TEGAL
4
4
KAB. WONOGIRI
4
4
KAB. WONOSOBO
3
4
KAB. BANGKALAN
3
3
KAB. BOJONEGORO
3
3
KAB. BONDOWOSO
3
3
KAB. GRESIK
3
3
KAB. JEMBER
4
3
KAB. JOMBANG
3
3
KAB. LAMONGAN
3
3
KAB. MADIUN
3
3
KAB. MAGETAN
3
3
KAB. MOJOKERTO
3
3
KAB. NGANJUK
3
3
KAB. NGAWI
3
3
KAB. PAMEKASAN
3
3
KAB. PASURUAN
3
3
KAB. PROBOLINGGO
3
3
KAB. SAMPANG
3
3
KAB. SIDOARJO
3
3
KAB. SITUBONDO
3
3
KAB. SUMENEP
3
3
KAB. TUBAN
3
3
KOTA MADIUN
3
3
KOTA MOJOKERTO
3
3
KOTA PASURUAN
3
3
KOTA PROBOLINGGO
4
3
KOTA SURABAYA
3
3
KAB. BANYUWANGI
3
4
KAB. BLITAR
3
4
KAB. KEDIRI
3
4
KAB. LUMAJANG
3
4
KAB. MALANG
3
4
114
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI JAWA TIMUR
KALIMANTAN BARAT
KALIMANTAN SELATAN
KALIMANTAN TENGAH
KALIMANTAN TIMUR
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. PACITAN
4
4
KAB. PONOROGO
3
4
KAB. TRENGGALEK
4
4
KAB. TULUNGAGUNG
3
4
KOTA BATU
3
4
KOTA BLITAR
3
4
KOTA KEDIRI
3
4
KOTA MALANG
3
4
KAB. BENGKAYANG
1
1
KAB. KAPUAS HULU
1
1
KAB. KAYONG UTARA
1
1
KAB. KETAPANG
1
1
KAB. KUBU RAYA
1
1
KAB. LANDAK
1
1
KAB. MELAWI
1
1
KAB. MEMPAWAH
1
1
KAB. SAMBAS
1
1
KAB. SANGGAU
1
1
KAB. SEKADAU
1
1
KAB. SINTANG
1
1
KOTA PONTIANAK
1
1
KOTA SINGKAWANG
1
1
KAB. BALANGAN
1
1
KAB. BANJAR
1
1
KAB. BARITO KUALA
1
1
KAB. HULU SUNGAI SELATAN
1
1
KAB. HULU SUNGAI TENGAH
1
1
KAB. HULU SUNGAI UTARA
1
1
KAB. KOTABARU
1
1
KAB. TABALONG
1
1
KAB. TANAH BUMBU
1
1
KAB. TANAH LAUT
1
1
KAB. TAPIN
1
1
KOTA BANJARBARU
1
1
KOTA BANJARMASIN
1
1
KAB. BARITO SELATAN
1
1
KAB. BARITO TIMUR
1
1
KAB. BARITO UTARA
1
1
KAB. GUNUNG MAS
1
1
KAB. KAPUAS
1
1
KAB. KATINGAN
1
1
KAB. KOTAWARINGIN BARAT
1
1
KAB. KOTAWARINGIN TIMUR
1
1
KAB. LAMANDAU
1
1
KAB. MURUNG RAYA
1
1
KAB. PULANG PISAU
1
1
KAB. SERUYAN
1
1
KAB. SUKAMARA
1
1
KOTA PALANG KARAYA
1
1
KAB. KUTAI BARAT
1
1
115
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI KALIMANTAN TIMUR
KALIMANTAN UTARA
KEPULAUAN BANGKA BELITUNG
KEPULAUAN RIAU
LAMPUNG
MALUKU
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. KUTAI KARTANEGARA
1
1
KAB. PASER
1
1
KAB. PENAJAM PASER UTARA
1
1
KOTA BALIKPAPAN
1
1
KOTA SAMARINDA
1
1
KAB. KUTAI TIMUR
1
2
KOTA BONTANG
2
2
KAB. BERAU
2
3
KAB. MAHAKAM ULU
1
1
KAB. MALINAU
2
2
KAB. NUNUKAN
1
2
KAB. TANA TIDUNG
1
2
KOTA TARAKAN
2
2
KAB. BULUNGAN
1
3
KAB. BANGKA
3
1
KAB. BANGKA BARAT
3
1
KAB. BANGKA TENGAH
2
1
KAB. BELITUNG
1
1
KAB. BELITUNG TIMUR
1
1
KOTA PANGKAL PINANG
2
1
KAB. BANGKA SELATAN
2
2
KAB. BINTAN
2
1
KAB. KARIMUN
2
1
KAB. LINGGA
3
1
KAB. NATUNA
1
1
KOTA BATAM
2
1
KOTA TANJUNG PINANG
2
1
KAB. KEPULAUAN ANAMABAS
1
1
KAB. LAMPUNG TENGAH
4
3
KAB. LAMPUNG TIMUR
4
3
KAB. LAMPUNG UTARA
4
3
KAB. TULANGBAWANG
4
3
KAB. WAY KANAN
4
3
KOTA METRO
4
3
KAB. LAMPUNG SELATAN
4
4
KAB. PESAWARAN
4
4
KOTA BANDAR LAMPUNG
4
4
KAB. LAMPUNG BARAT
5
5
KAB. TANGGAMUS
5
5
KAB. PESISIR BARAT
5
5
KAB. PRINGSEWU
4
5
KAB. MESUJI
3
3
KAB. TULANG BAWANG BARAT
4
3
KAB. MALUKU TENGAH
5
4
KAB. MALUKU TENGGARA
5
4
KAB. SERAM BAGIAN BARAT
5
4
KOTA TUAL
5
4
KAB. BURU
5
5
KAB. KEPULAUAN ARU
4
5
KAB. MALUKU TENGGARA BARAT
5
5
116
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI MALUKU
MALUKU UTARA
NANGGROE ACEH DARUSSALAM
NUSA TENGGARA BARAT
NUSA TENGGARA TIMUR
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. SERAM BAGIAN TIMUR
5
5
KOTA AMBON
5
5
KAB. MALUKU BARAT DAYA
4
5
KAB. BURU SELATAN
4
5
KAB. HALMAHERA TENGAH
4
4
KAB. HALMAHERA TIMUR
4
4
KAB. HALMAHERA BARAT
5
5
KAB. HALMAHERA SELATAN
4
5
KAB. HALMAHERA UTARA
5
5
KAB. KEPULAUAN SULA
4
5
KOTA TERNATE
5
5
KOTA TIDORE KEPULAUAN
5
5
KAB. PULAU TALIABU
4
5
KAB. PULAU MOROTAI
5
5
KAB. ACEH UTARA
5
3
KOTA LHOKSEUMAWE
4
3
KAB. ACEH TAMIANG
4
4
KAB. ACEH TENGAH
5
4
KAB. ACEH TIMUR
5
4
KAB. BENER MERIAH
4
4
KAB. BIREUEN
5
4
KOTA LANGSA
4
4
KAB. ACEH BARAT
5
5
KAB. ACEH BARAT DAYA
5
5
KAB. ACEH BESAR
5
5
KAB. ACEH JAYA
5
5
KAB. ACEH SELATAN
5
5
KAB. ACEH SINGKIL
5
5
KAB. ACEH TENGGARA
5
5
KAB. GAYO LUES
5
5
KAB. NAGAN RAYA
5
5
KAB. PIDIE
5
5
KAB. PIDIE JAYA
5
5
KAB. SIMEULUE
5
5
KOTA BANDA ACEH
5
5
KOTA SABANG
5
5
KOTA SUBULUSSALAM
5
5
KAB. BIMA
3
4
KAB. LOMBOK TENGAH
4
4
KAB. LOMBOK TIMUR
3
4
KAB. SUMBAWA
3
4
KAB. SUMBAWA BARAT
3
4
KOTA BIMA
4
4
KAB. DOMPU
3
5
KAB. LOMBOK BARAT
4
5
KOTA MATARAM
5
5
KAB. LOMBOK UTARA
3
5
KAB. ENDE
3
4
KAB. FLORES TIMUR
3
4
KAB. KUPANG
4
4
117
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI NUSA TENGGARA TIMUR
PAPUA
PAPUA BARAT
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. MANGGARAI
3
4
KAB. MANGGARAI BARAT
4
4
KAB. MANGGARAI TIMUR
3
4
KAB. NGADA
3
4
KAB. ROTE NDAO
4
4
KAB. SIKKA
3
4
KAB. SUMBA TIMUR
3
4
KOTA KUPANG
5
4
KAB. ALOR
3
5
KAB. BELU
4
5
KAB. LEMBATA
3
5
KAB. NAGEKEO
3
5
KAB. SUMBA BARAT
4
5
KAB. SUMBA BARAT DAYA
4
5
KAB. SUMBA TENGAH
3
5
KAB. TIMOR TENGAH SELATAN
3
5
KAB. TIMOR TENGAH UTARA
3
5
KAB. MALAKA
4
5
KAB. SABU RAIJUA
5
4
KAB. MERAUKE
1
1
KAB. ASMAT
3
2
KAB. BOVEN DIGOEL
2
2
KAB. MAPPI
2
2
KAB. MIMIKA
5
3
KAB. PUNCAK JAYA
3
3
KAB. BIAK NUMFOR
4
4
KAB. PANIAI
3
4
KAB. PEGUNUNGAN BINTANG
5
4
KAB. SUPIORI
5
4
KAB. WAROPEN
4
4
KAB. KEPULAUAN YAPEN
5
4
KAB. JAYAPURA
5
5
KAB. JAYAWIJAYA
3
5
KAB. KEEROM
4
5
KAB. NABIRE
5
5
KAB. SARMI
5
5
KAB. TOLIKARA
3
5
KAB. YAHUKIMO
3
5
KOTA JAYAPURA
3
5
KAB. MAMBERAMO RAYA
4
5
KAB. NDUGA
4
5
KAB. LANNY JAYA
3
5
KAB. MAMBERAMO TENGAH
3
5
KAB. YALIMO
3
5
KAB. PUNCAK
3
3
KAB. DOGIYAI
4
5
KAB. INTAN JAYA
3
4
KAB. DEIYAI
4
4
KAB. FAKFAK
4
3
KAB. KAIMANA
5
3
118
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI PAPUA BARAT
RIAU
SULAWESI SELATAN
SULAWESI BARAT
ZONA*
ZONA**
KAB. SORONG SELATAN
KOTA / KABUPATEN
3
3
KOTA SORONG
5
3
KAB. RAJA AMPAT
3
4
KAB. SORONG
4
4
KAB. TELUK BINTUNI
3
4
KAB. TELUK WONDOMA
3
4
KAB. MANOKWARI
4
5
KAB. MANOKWARI SELATAN
4
5
KAB. PEGUNUNGAN ARFAK
4
5
KAB. TAMBRAUW
5
5
KAB. MAYBRAT
4
3
KAB. BENGKALIS
3
2
KAB. INDRAGIRI HILIR
3
2
KAB. INDRAGIRI HULU
4
2
KAB. PELALAWAN
4
2
KAB. ROKAN HILIR
4
2
KAB. SIAK
3
2
KOTA DUMAI
3
2
KAB. KAMPAR
4
3
KAB. KUANTAN SINGINGI
4
3
KAB. ROKAN HULU
4
3
KOTA PEKANBARU
4
3
KAB. KEPULAUAN MERANTI
3
2
KAB. BARRU
2
3
KAB. ENREKANG
3
3
KAB. LUWU
2
3
KAB. LUWU TIMUR
4
3
KAB. LUWU UTARA
3
3
KAB. PINRANG
3
3
KAB. SIDENRENG RAPPANG
4
3
KAB. SOPPENG
3
3
KAB. WAJO
3
3
KOTA PALOPO
3
3
KOTA PARE-PARE
3
3
KAB. BANTAENG
2
2
KAB. BONE
2
2
KAB. BULUKUMBA
2
2
KAB. GOWA
2
2
KAB. JENEPONTO
2
2
KAB. MAROS
2
2
KAB. PANGKAJENE DAN KEPULAUAN
3
2
KAB. SELAYAR
4
2
KAB. SINJAI
2
2
KAB. TAKALAR
2
2
KOTA MAKASSAR
2
2
KAB. TANA TORAJA
3
4
KAB. MAMUJU UTARA
4
3
KAB. MAJENE
5
4
KAB. MAMASA
3
4
KAB. MAMUJU
4
4
119
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
ZONA*
ZONA**
SULAWESI BARAT
PROVINSI
KAB. MAMUJU TENGAH
4
4
SULAWESI T ENGAH
KAB. MOROWALI
4
3
KAB. BANGGAI KEPULAUAN
4
4
KAB. DONGGALA
4
4
KAB. POSO
5
4
KAB. TOJO UNA-UNA
4
4
KOTA PALU
5
4
KAB. BANGGAI
4
5
KAB. BUOL
5
5
KAB. PARIGI MOUTONG
4
5
KAB. TOLI-TOLI
5
5
KAB. BANGGAI LAUT
4
4
KAB. MOROWALI UTARA
4
3
KAB. SIGI
4
4
KAB. BOMBANA
2
3
KAB. BUTON
3
3
KAB. KOLAKA
2
3
KAB. KOLAKA UTARA
3
3
KAB. KONAWE
4
3
KAB. KONAWE SELATAN
3
3
KAB. KONAWE UTARA
5
3
KAB. MUNA
2
3
KAB. WAKATOBI
3
3
KOTA BAU-BAU
2
3
KAB. BUTON UTARA
3
4
KOTA KENDARI
5
4
KAB. KONAWE KEPULAUAN
4
3
KAB. KOLAKA TIMUR
2
3
KAB. BOLAANG MONGONDOW
4
5
KAB. BOLAANG MONGONDOW UTARA
4
5
KAB. KEPULAUAN SANGIHE
5
5
KAB. SIAU TAGULANDANG BITARO
5
5
KAB. KEPULAUAN TALAUD
5
5
KAB. MINAHASA
5
5
KAB. MINAHASA SELATAN
4
5
KAB. MINAHASA TENGGARA
5
5
KAB. MINAHASA UTARA
5
5
KOTA BITUNG
5
5
KOTA KOTAMOBAGU
4
5
KOTA MANADO
4
5
KOTA TOMOHON
5
5
KAB. BOLAANG MONGONDOW SELATAN
4
5
KAB. BOLAANG MONGONDOW TIMUR
4
5
KAB. DHARMASRAYA
4
3
KAB. PASAMAN
5
3
KAB. LIMA PULUH KOTA
5
4
KAB. PASAMAN BARAT
5
4
KAB. SIJUNJUNG
4
4
KAB. TANAH DATAR
5
4
KOTA PAYAKUMBUH
4
4
KOTA SAWAH LUNTO
5
4
KAB. AGAM
5
5
KAB. KEPULAUAN MENTAWAI
5
5
KAB. PADANG PARIAMAN
5
5
SULAWESI T ENGGARA
SULAWESI UT ARA
SUMAT ERA BARAT
KOTA / KABUPATEN
120
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
PROVINSI SUMAT ERA BARAT
SUMAT ERA SELAT AN
SUMAT ERA UT ARA
ZONA*
ZONA**
KAB. PESISIR SELATAN
KOTA / KABUPATEN
5
5
KAB. SOLOK
5
5
KAB. SOLOK SELATAN
5
5
KOTA BUKITTINGGI
5
5
KOTA PADANG
5
5
KOTA PADANG PANJANG
5
5
KOTA PARIAMAN
5
5
KOTA SOLOK
5
5
KAB. OGAN ILIR
4
2
KAB. OGAN KOMERING ILIR
3
2
KOTA PALEMBANG
3
2
KAB. BANYU ASIN
4
3
KAB. LAHAT
5
3
KAB. MUARA ENIM
4
3
KAB. MUSI BANYUASIN
4
3
KAB. OGAN KOMERING ULU
4
3
KAB. OGAN KOMERING ULU TIMUR
4
3
KOTA PRABUMULIH
4
3
KAB. EMPAT LAWANG
5
4
KAB. MUSI RAWAS
4
4
KAB. OGAN KOMERING ULU SELATAN
5
4
KOTA LUBUKLINGGAU
5
4
KOTA PAGAR ALAM
5
4
KAB. PENUKAL ABAB LEMATANG ILIR
4
3
KAB. MUSI RAWAS UTARA
4
4
KAB. ASAHAN
4
3
KAB. BATU BARA
4
3
KAB. DELI SERDANG
4
3
KAB. LABUHAN BATU
4
3
KAB. LANGKAT
5
3
KAB. SERDANG BEDAGAI
4
3
KOTA BINJAI
4
3
KOTA MEDAN
4
3
KOTA TANJUNG BALAI
4
3
KOTA TEBING TINGGI
4
3
KAB. DAIRI
5
4
KAB. KARO
5
4
KAB. MANDAILING NATAL
5
4
KAB. PADANG LAWAS
5
4
KAB. PAKPAK BHARAT
5
4
KAB. SAMOSIR
5
4
KAB. SIMALUNGUN
5
4
KAB. TAPANULI SELATAN
5
4
KAB. TOBA SAMOSIR
5
4
KOTA PADANGSIDIMPUAN
5
4
KOTA PEMATANG SIANTAR
4
4
KAB. HUMBANG HASUNDUTAN
5
5
KAB. NIAS
5
5
KAB. NIAS SELATAN
5
5
KAB. TAPANULI TENGAH
5
5
KAB. TAPANULI UTARA
5
5
KAB. PADANG LAWAS UTARA
5
4
KAB. LABUHAN BATU SELATAN
4
3
KAB. LABUHAN BATU UTARA
4
3
KAB. NIAS UTARA
5
5
KAB. NIAS BARAT
5
5
KOTA GUNUNGSITOLI
5
5
KOTA SIBOLGA
5
5
*Berdasarkan Surat Edaran OJK Nomor 21/SEOJK.05/2015 ** Berdasarkan Surat Edaran NOMOR SE-06/D.05/2013
121
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 4 / Attachment 4
CRESTA ZONE INDONESIA CRESTA ID*
IDN_AC IDN_BA IDN_BB IDN_BE IDN_BT IDN_GO IDN_JA IDN_JB IDN_JI IDN_JK IDN_JT IDN_KB IDN_KI IDN_KR IDN_KS IDN_KT IDN_LA IDN_MA IDN_MU IDN_NB IDN_NT IDN_PA IDN_PB IDN_RI IDN_SA IDN_SB IDN_SG IDN_SN IDN_SR IDN_SS IDN_ST IDN_SU IDN_YO
CRESTA Description
Nanggroe Aceh Darussalam Bali Kepulauan Bangka Belitung Bengkulu Banten Gorontalo Jambi Jawa Barat Jawa Timur DKI Jakarta Jawa Tengah Kalimantan Barat Kalimantan Timur Kepulauan Riau Kalimantan Selatan Kalimantan Tengah Lampung Maluku Maluku Utara Nusa Tenggara Barat Nusa Tenggara Timur Papua Papua Barat Riau Sulawesi Utara Sumatera Barat Sulawesi Tenggara Sulawesi Selatan Sulawesi Barat Sumatera Selatan Sulawesi Tengah Sumatera Utara DI Yogyakarta
* Cresta Zone terbaru dari www.cresta.org yang terkini tahun 2012 dengan (Low Resolution)
122
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_1101 IDN_1102 IDN_1103 IDN_1104 IDN_1105 IDN_1106 IDN_1107 IDN_1108 IDN_1109 IDN_1110 IDN_1111 IDN_1112 IDN_1113 IDN_1114 IDN_1115 IDN_1116 IDN_1117 IDN_1118 IDN_1171 IDN_1172 IDN_1173 IDN_1174 IDN_1175 IDN_1201 IDN_1202 IDN_1203 IDN_1204 IDN_1205 IDN_1206 IDN_1207 IDN_1208 IDN_1209 IDN_1210 IDN_1211 IDN_1212 IDN_1213 IDN_1214 IDN_1215 IDN_1216 IDN_1217 IDN_1218 IDN_1219 IDN_1220 IDN_1221
JUNI 2016
CRESTA Description
CRESTA ID**
Simeulue Aceh Singkil Aceh Selatan Aceh Tenggara Aceh Timur Aceh Tengah Aceh Barat Aceh Besar Pidie Bireuen Aceh Utara Aceh Barat Daya Gayo Lues Aceh Tamiang Nagan Raya Aceh Jaya Bener Meriah Pidie Jaya Kota Banda Aceh Kota Sabang Kota Langsa Kota Lhokseumawe Kota Subulussalam Nias Mandailing Natal Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Labuhan Batu Asahan Simalungun Dairi Karo Deli Serdang Langkat Nias Selatan Humbang Hasundutan Pakpak Bharat Samosir Serdang Bedagai Batu Bara Padang Lawas Utara Padang Lawas
IDN_1222 IDN_1223 IDN_1224 IDN_1225 IDN_1271 IDN_1272 IDN_1273 IDN_1274 IDN_1275 IDN_1276 IDN_1277 IDN_1278 IDN_1301 IDN_1302 IDN_1303 IDN_1304 IDN_1305 IDN_1306 IDN_1307 IDN_1308 IDN_1309 IDN_1310 IDN_1311 IDN_1312 IDN_1371 IDN_1372 IDN_1373 IDN_1374 IDN_1375 IDN_1376 IDN_1377 IDN_1401 IDN_1402 IDN_1403 IDN_1404 IDN_1405 IDN_1406 IDN_1407 IDN_1408 IDN_1409 IDN_1410 IDN_1471 IDN_1473 IDN_1501 IDN_1502
123
CRESTA Description
Labuhan Batu Selatan Labuhan Batu Utara Nias Utara Nias Barat Kota Sibolga Kota Tanjung Balai Kota Pematang Siantar Kota Tebing Tinggi Kota Medan Kota Binjai Kota Padang Sidempuan Kota Gunungsitoli Kepulauan Mentawai Pesisir Selatan Solok Sijunjung Tanah Datar Padang Pariaman Agam Lima Puluh Kota Pasaman Solok Selatan Dharmas Raya Pasaman Barat Kota Padang Kota Solok Kota Sawah Lunto Kota Padang Panjang Kota Bukittinggi Kota Payakumbuh Kota Pariaman Kuantan Singingi Indragiri Hulu Indragiri Hilir Pelalawan Siak Kampar Rokan Hulu Bengkalis Rokan Hilir Kepulauan Meranti Kota Pekanbaru Kota Dumai Kerinci Merangin
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_1503 IDN_1504 IDN_1505 IDN_1506 IDN_1507 IDN_1508 IDN_1509 IDN_1571 IDN_1572 IDN_1601 IDN_1602 IDN_1603 IDN_1604 IDN_1605 IDN_1606 IDN_1607 IDN_1608 IDN_1609 IDN_1610 IDN_1611 IDN_1671 IDN_1672 IDN_1673 IDN_1674 IDN_1701 IDN_1702 IDN_1703 IDN_1704 IDN_1705 IDN_1706 IDN_1707 IDN_1708 IDN_1709 IDN_1771 IDN_1801 IDN_1802 IDN_1803 IDN_1804 IDN_1805 IDN_1806 IDN_1807 IDN_1808 IDN_1809 IDN_1810 IDN_1811
JUNI 2016
CRESTA ID**
CRESTA Description
Sarolangun Batang Hari Muaro Jambi Tanjung Jabung Timur Tanjung Jabung Barat Tebo Bungo Kota Jambi Kota Sungai Penuh Ogan Komering Ulu Ogan Komering Ilir Muara Enim Lahat Musi Rawas Musi Banyuasin Banyuasin Ogan Komering Ulu Selatan Ogan Komering Ulu Timur Ogan Ilir Empat Lawang Kota Palembang Kota Prabumulih Kota Pagar Alam Kota Lubuklinggau Bengkulu Selatan Rejang Lebong Bengkulu Utara Kaur Seluma Mukomuko Lebong Kepahiang Bengkulu Tengah Kota Bengkulu Lampung Barat Tanggamus Lampung Selatan Lampung Timur Lampung Tengah Lampung Utara Way Kanan Tulangbawang Pesawaran Pringsewu Mesuji
IDN_1812 IDN_1871 IDN_1872 IDN_1901 IDN_1902 IDN_1903 IDN_1904 IDN_1905 IDN_1906 IDN_1971 IDN_2101 IDN_2102 IDN_2103 IDN_2104 IDN_2105 IDN_2171 IDN_2172 IDN_3101 IDN_3171 IDN_3172 IDN_3173 IDN_3174 IDN_3175 IDN_3201 IDN_3202 IDN_3203 IDN_3204 IDN_3205 IDN_3206 IDN_3207 IDN_3208 IDN_3209 IDN_3210 IDN_3211 IDN_3212 IDN_3213 IDN_3214 IDN_3215 IDN_3216 IDN_3217 IDN_3271 IDN_3272 IDN_3273 IDN_3274 IDN_3275 124
CRESTA Description
Tulangbawang Barat Kota Bandar Lampung Kota Metro Bangka Belitung Bangka Barat Bangka Tengah Bangka Selatan Belitung Timur Kota Pangkal Pinang Karimun Bintan Natuna Lingga Kepulauan Anambas Kota Batam Kota Tanjung Pinang Kepulauan Seribu Kodya Jakarta Selatan Kodya Jakarta Timur Kodya Jakarta Pusat Kodya Jakarta Barat Kodya Jakarta Utara Bogor Sukabumi Cianjur Bandung Garut Tasikmalaya Ciamis Kuningan Cirebon Majalengka Sumedang Indramayu Subang Purwakarta Karawang Bekasi Bandung Barat Kota Bogor Kota Sukabumi Kota Bandung Kota Cirebon Kota Bekasi MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_3276 IDN_3277 IDN_3278 IDN_3279 IDN_3301 IDN_3302 IDN_3303 IDN_3304 IDN_3305 IDN_3306 IDN_3307 IDN_3308 IDN_3309 IDN_3310 IDN_3311 IDN_3312 IDN_3313 IDN_3314 IDN_3315 IDN_3316 IDN_3317 IDN_3318 IDN_3319 IDN_3320 IDN_3321 IDN_3322 IDN_3323 IDN_3324 IDN_3325 IDN_3326 IDN_3327 IDN_3328 IDN_3329 IDN_3371 IDN_3372 IDN_3373 IDN_3374 IDN_3375 IDN_3376 IDN_3401 IDN_3402 IDN_3403 IDN_3404 IDN_3471 IDN_3501
JUNI 2016
CRESTA ID**
CRESTA Description
IDN_3502 IDN_3503 IDN_3504 IDN_3505 IDN_3506 IDN_3507 IDN_3508 IDN_3509 IDN_3510 IDN_3511 IDN_3512 IDN_3513 IDN_3514 IDN_3515 IDN_3516 IDN_3517 IDN_3518 IDN_3519 IDN_3520 IDN_3521 IDN_3522 IDN_3523 IDN_3524 IDN_3525 IDN_3526 IDN_3527 IDN_3528 IDN_3529 IDN_3571 IDN_3572 IDN_3573 IDN_3574 IDN_3575 IDN_3576 IDN_3577 IDN_3578 IDN_3579 IDN_3601 IDN_3602 IDN_3603 IDN_3604 IDN_3671 IDN_3672 IDN_3673 IDN_3674
Kota Depok Kota Cimahi Kota Tasikmalaya Kota Banjar Cilacap Banyumas Purbalingga Banjarnegara Kebumen Purworejo Wonosobo Magelang Boyolali Klaten Sukoharjo Wonogiri Karanganyar Sragen Grobogan Blora Rembang Pati Kudus Jepara Demak Semarang Temanggung Kendal Batang Pekalongan Pemalang Tegal Brebes Kota Magelang Kota Surakarta Kota Salatiga Kota Semarang Kota Pekalongan Kota Tegal Kulon Progo Bantul Gunung Kidul Sleman Kota Yogyakarta Pacitan 125
CRESTA Description
Ponorogo Trenggalek Tulungagung Blitar Kediri Malang Lumajang Jember Banyuwangi Bondowoso Situbondo Probolinggo Pasuruan Sidoarjo Mojokerto Jombang Nganjuk Madiun Magetan Ngawi Bojonegoro Tuban Lamongan Gresik Bangkalan Sampang Pamekasan Sumenep Kota Kediri Kota Blitar Kota Malang Kota Probolinggo Kota Pasuruan Kota Mojokerto Kota Madiun Kota Surabaya Kota Batu Pandeglang Lebak Tangerang Serang Kota Tangerang Kota Cilegon Kota Serang Kota Tangerang Selatan MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_5101 IDN_5102 IDN_5103 IDN_5104 IDN_5105 IDN_5106 IDN_5107 IDN_5108 IDN_5171 IDN_5201 IDN_5202 IDN_5203 IDN_5204 IDN_5205 IDN_5206 IDN_5207 IDN_5208 IDN_5271 IDN_5272 IDN_5301 IDN_5302 IDN_5303 IDN_5304 IDN_5305 IDN_5306 IDN_5307 IDN_5308 IDN_5309 IDN_5310 IDN_5311 IDN_5312 IDN_5313 IDN_5314 IDN_5315 IDN_5316 IDN_5317 IDN_5318 IDN_5319 IDN_5320 IDN_5371 IDN_6101 IDN_6102 IDN_6103 IDN_6104 IDN_6105
JUNI 2016
CRESTA Description
CRESTA ID**
Jembrana Tabanan Badung Gianyar Klungkung Bangli Karangasem Buleleng Kota Denpasar Lombok Barat Lombok Tengah Lombok Timur Sumbawa Dompu Bima Sumbawa Barat Lombok Utara Kota Mataram Kota Bima Sumba Barat Sumba Timur Kupang Timor Tengah Selatan Timor Tengah Utara Belu Alor Lembata Flores Timur Sikka Ende Ngada Manggarai Rote Ndao Manggarai Barat Sumba Tengah Sumba Barat Daya Nagekeo Manggarai Timur Sabu Raijua Kota Kupang Sambas Bengkayang Landak Pontianak Sanggau
IDN_6106 IDN_6107 IDN_6108 IDN_6109 IDN_6110 IDN_6111 IDN_6112 IDN_6171 IDN_6172 IDN_6201 IDN_6202 IDN_6203 IDN_6204 IDN_6205 IDN_6206 IDN_6207 IDN_6208 IDN_6209 IDN_6210 IDN_6211 IDN_6212 IDN_6213 IDN_6271 IDN_6301 IDN_6302 IDN_6303 IDN_6304 IDN_6305 IDN_6306 IDN_6307 IDN_6308 IDN_6309 IDN_6310 IDN_6311 IDN_6371 IDN_6372 IDN_6401 IDN_6402 IDN_6403 IDN_6404 IDN_6405 IDN_6406 IDN_6407 IDN_6408 IDN_6409
126
CRESTA Description
Ketapang Sintang Kapuas Hulu Sekadau Melawi Kayong Utara Kubu Raya Kota Pontianak Kota Singkawang Kotawaringin Barat Kotawaringin Timur Kapuas Barito Selatan Barito Utara Sukamara Lamandau Seruyan Katingan Pulang Pisau Gunung Mas Barito Timur Murung Raya Kota Palangka Raya Tanah Laut Kota Baru Banjar Barito Kuala Tapin Hulu Sungai Selatan Hulu Sungai Tengah Hulu Sungai Utara Tabalong Tanah Bumbu Balangan Kota Banjarmasin Kota Banjar Baru Pasir Kutai Barat Kutai Kartanegara Kutai Timur Berau Malinau Bulungan Nunukan Penajam Paser Utara
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_6410 IDN_6471 IDN_6472 IDN_6473 IDN_6474 IDN_7101 IDN_7102 IDN_7103 IDN_7104 IDN_7105 IDN_7106 IDN_7107 IDN_7108 IDN_7109 IDN_7110 IDN_7111 IDN_7171 IDN_7172 IDN_7173 IDN_7174 IDN_7201 IDN_7202 IDN_7203 IDN_7204 IDN_7205 IDN_7206 IDN_7207 IDN_7208 IDN_7209 IDN_7210 IDN_7271 IDN_7301 IDN_7302 IDN_7303 IDN_7304 IDN_7305 IDN_7306 IDN_7307 IDN_7308 IDN_7309 IDN_7310 IDN_7311 IDN_7312 IDN_7313 IDN_7314
JUNI 2016
CRESTA Description
CRESTA ID**
Tana Tidung Kota Balikpapan Kota Samarinda Kota Tarakan Kota Bontang Bolaang Mongondow Minahasa Kepulauan Sangihe Kepulauan Talaud Minahasa Selatan Minahasa Utara Bolaang Mongondow Utara Siau Tagulandang Biaro Minahasa Tenggara Bolaang Mongondow Selatan Bolaang Mongondow Timur Kota Manado Kota Bitung Kota Tomohon Kota Mobagu Banggai Kepulauan Banggai Morowali Poso Donggala Toli Toli Buol Parigi Moutong Tojo Una Una Sigi Kota Palu Kepulauan Selayar Bulukumba Bantaeng Jeneponto Takalar Gowa Sinjai Maros Pangkajene Kepulauan Barru Bone Soppeng Wajo Sidenreng Rappang
IDN_7315 IDN_7316 IDN_7317 IDN_7318 IDN_7322 IDN_7325 IDN_7326 IDN_7371 IDN_7372 IDN_7373 IDN_7401 IDN_7402 IDN_7403 IDN_7404 IDN_7405 IDN_7406 IDN_7407 IDN_7408 IDN_7409 IDN_7410 IDN_7471 IDN_7472 IDN_7501 IDN_7502 IDN_7503 IDN_7504 IDN_7505 IDN_7571 IDN_7601 IDN_7602 IDN_7603 IDN_7604 IDN_7605 IDN_8101 IDN_8102 IDN_8103 IDN_8104 IDN_8105 IDN_8106 IDN_8107 IDN_8108 IDN_8109 IDN_8171 IDN_8172 IDN_8201 127
CRESTA Description
Pinrang Enrekang Luwu Tana Toraja Luwu Utara Luwu Timur Toraja Utara Kota Makassar Kota Pare Pare Kota Palopo Buton Muna Konawe Kolaka Konawe Selatan Bombana Wakatobi Kolaka Utara Buton Utara Konawe Utara Kota Kendari Kota Bau-Bau Boalemo Gorontalo Pohuwato Bone Bolango Gorontalo Utara Kota Gorontalo Majene Polewali Mandar Mamasa Mamuju Mamuju Utara Maluku Tenggara Barat Maluku Tenggara Maluku Tengah Buru Kepulauan Aru Seram Bagian Barat Seram Bagian Timur Maluku Barat Daya Buru Selatan Kota Ambon Kota Tual Halmahera Barat
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
CRESTA ID**
IDN_8202 IDN_8203 IDN_8204 IDN_8205 IDN_8206 IDN_8207 IDN_8271 IDN_8272 IDN_9101 IDN_9102 IDN_9103 IDN_9104 IDN_9105 IDN_9106 IDN_9107 IDN_9108 IDN_9109 IDN_9110 IDN_9171 IDN_9401 IDN_9402 IDN_9403 IDN_9404 IDN_9408 IDN_9409 IDN_9410 IDN_9411 IDN_9412 IDN_9413 IDN_9414 IDN_9415 IDN_9416 IDN_9417 IDN_9418 IDN_9419 IDN_9420 IDN_9426 IDN_9427 IDN_9428 IDN_9429 IDN_9430 IDN_9431 IDN_9432 IDN_9433 IDN_9434 IDN_9435 IDN_9436 IDN_9471
JUNI 2016
CRESTA Description
Halmahera Tengah Kepulauan Sula Halmahera Selatan Halmahera Utara Halmahera Timur Pulau Morotai Kota Ternate Kota Tidore Kepulauan Fak-Fak Kaimana Teluk Wondama Teluk Bintuni Manokwari Sorong Selatan Sorong Raja Ampat Tambrauw Maybrat Kota Sorong Merauke Jayawijaya Jayapura Nabire Kepulauan Yapen Biak Numfor Paniai Puncak Jaya Mimika Boven Digoel Mappi Asmat Yahukimo Pegunungan Bintang Tolikara Sarmi Keerom Waropen Supiori Mamberamo Raya Nduga Lanny Jaya Mamberamo Tengah Yalimo Puncak Dogiyai Intan Jaya Deiyai Kota Jayapura
** Cresta Zone terbaru dari www.cresta.org yang terkini tahun 2012 dengan (High Resolution)
128
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 5 / Attachment 5
TARIF PREM I ATAU KONTRIBUSI UNTUK POLIS LOSS LIMIT Penetapan tarif Premi atau Kontribusi untuk polis yang tidak menerapkan pertanggungan secara Nilai Penuh (Full Value) maka berlaku skala sebagai berikut : % of Values
% of Total Premium or Contribution
% of Values
% of Total Premium or Contribution
% of Values
% of Total Premium or Contribution
% of Values
% of Total Premium or Contribution
100,00
100,00
66,00
88,20
32,00
79,37
4,40
47,00
99,00
99,60
65,00
88,00
31,00
78,75
4,30
46,50
98,00
99,20
64,00
87,80
30,00
78,12
4,20
46,00
97,00
98,80
63,00
87,60
29,00
77,50
4,10
45,50
96,00
98,40
62,00
87,40
28,00
76,87
4,00
45,00
95,00
98,00
61,00
87,20
27,00
76,25
3,90
44,50
94,00
97,60
60,00
87,00
26,00
75,62
3,80
44,00
93,00
97,20
59,00
86,80
25,00
75,00
3,70
43,50
92,00
96,80
58,00
86,60
24,00
74,00
3,60
43,00
91,00
96,40
57,00
86,40
23,00
73,00
3,50
42,50
90,00
96,00
56,00
86,20
22,00
72,00
3,40
42,00
89,00
95,60
55,00
86,00
21,00
71,00
3,30
41,50
88,00
95,20
54,00
85,80
20,00
70,00
3,20
41,00
87,00
94,80
53,00
85,60
19,00
69,00
3,10
40,50
86,00
94,40
52,00
85,40
18,00
68,00
3,00
40,00
85,00
94,00
51,00
85,20
17,00
67,00
2,90
39,75
84,00
93,60
50,00
85,00
16,00
66,00
2,80
39,50
83,00
93,20
49,00
84,70
15,00
65,00
2,70
39,25
82,00
92,80
48,00
84,46
14,00
64,00
2,60
39,00
81,00
92,40
47,00
84,21
13,00
63,00
2,50
38,75
80,00
92,00
46,00
83,90
12,00
62,00
2,40
38,50
79,00
91,60
45,00
83,60
11,00
61,00
2,30
38,25
78,00
91,20
44,00
83,30
10,00
60,00
2,20
38,00
77,00
90,80
43,00
83,00
9,00
58,00
2,10
37,75
76,00
90,40
42,00
82,80
8,00
56,00
2,00
37,50
75,00
90,00
41,00
82,53
7,50
55,00
1,90
37,00
74,00
89,80
40,00
82,20
7,00
54,00
1,80
36,50
73,00
89,60
39,00
81,87
6,00
52,00
1,70
36,00
72,00
89,40
38,00
81,54
5,00
50,00
1,60
35,50
71,00
89,20
37,00
81,21
4,90
49,50
1,50
35,00
70,00
89,00
36,00
80,88
4,80
49,00
1,40
34,50
69,00
88,80
35,00
80,55
4,70
48,50
1,30
34,00
68,00
88,60
34,00
80,22
4,60
48,00
1,20
33,50
67,00
88,40
33,00
80,00
4,50
47,50
1,10
33,00
1,00
32,50
(sumber:Lampiran IV Surat Edaran OJK Nomor: NOMOR 21/SEOJK.05/2015, 30 Juni 2015)
129
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 6 / Attachment 6
TARIF SUKU PREMI KURANG DARI 12 BULAN
JANGKA WAKTU
PROSENTASI TARIP TAHUNAN
3 hari
5%
10 hari
10%
1 bulan
20%
1.5 bulan
25%
2 bulan
30%
3 bulan
40%
4 bulan
50%
5 bulan
60%
6 bulan
70%
7 bulan
75%
8 bulan
80%
9 bulan
85%
10 bulan
90%
11 bulan
95%
lebih dari 11 bulan dihitung tarip suku premi penuh
130
MAIPARK, Statistik, 06/2016
PT REASURANSI MAIPARK INDONESIA
JUNI 2016
Lampiran 7 / Attachment 7
SKALA TARIF PREMI ATAU KONTRIBUSI GANGGUAN USAHA (BUSINESS INTERRUPTION) Penetapan tarif Premi atau Kontribusi untuk jaminan gangguan usaha (business interruption) berlaku skala sebagai berikut: Indemnity Period
Persentase (%) dari Tarif Premi atau Kontribusi
1 bulan
20% x 100% tarif Premi atau Kontribusi
2 bulan
30% x 100% tarif Premi atau Kontribusi
3 bulan
40% x 100% tarif Premi atau Kontribusi
4 bulan
50% x 100% tarif Premi atau Kontribusi
6 bulan
60% x 100% tarif Premi atau Kontribusi
9 bulan
80% x 100% tarif Premi atau Kontribusi
12 bulan
100% x 100% tarif Premi atau Kontribusi
15 bulan
96% x 100% tarif Premi atau Kontribusi
18 bulan
93% x 100% tarif Premi atau Kontribusi
21 bulan
91.5% x 100% tarif Premi atau Kontribusi
24 bulan
90% x 100% tarif Premi atau Kontribusi
30 bulan
87% x 100% tarif Premi atau Kontribusi
36 bulan
85% x 100% tarif Premi atau Kontribusi
48 bulan
83% x 100% tarif Premi atau Kontribusi
Untuk indemnity period lebih dari 48 bulan penetapan persentase dari tarif Premi atau Kontribusi diserahkan kepada underwriter Perusahaan (sumber:Lampiran IV Surat Edaran OJK Nomor: NOMOR 21/SEOJK.05/2015, 30 Juni 2015)
131
MAIPARK, Statistik, 06/2016