Per 31 Desember 2015
MAIPARK, Statistik, 12/2015
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
“Satu Dekade Pengelolaan Database Nasional Asuransi Gempa Bumi Dalam Mendukung Kemajuan Industri Asuransi” “A Decade of National Database Management of Earthquake Insurance to Support The Insurance Industry”
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
DAFTAR ISI CONTENTS Hal.
Page
Kata pengantar…………………………...……i
Content……..……………………………………….i
Daftar Isi……………………………………….iii
Foreword…………………………………………..iii
Iktisar Statistik Asuransi Gempa Bumi Indonesia Desember 2015
Statistic Overview of Indonesian Earthquake Insurance December 2015
A. B. C. D. E. F.
A. B. C. D. E. F.
Umum………………………………………1 Struktur Pasar …………………………….2 Premi Bruto dan Exposure ……………….2 Jumlah Risiko ……………………………..4 Incurred Claim ………………………….....7 Analisis Exposure: Probable Maximum Loss (PML) Industri Asuransi Nasional Kualitas Data Menentukan Kualitas Manajemen Risiko …..…………….....…13 G. Ulasan Aktuaria: Truncation dan Modifikasi pada Nilai Nol………………..21 H. Ulasan Asuransi: Penetrasi Asuransi Gempabumi Indonesia - Peranan Industri Asuransi Melindungi Area Rawan Gempa…………………………………....29
General ………………………………………...1 Market Structure ………………………………2 Gross Premium and Exposure ………………2 Number of Risk ………………………………..4 Incurred Claim …………………………………7 Exposure Analysis: Probable Maximum Loss (PML) of National Insurance Industry - The data quality determines the risk management quality…………………………………………13 G. Actuary Commentary: Truncation and Modification at Zero ……………………......21 H. Insurance Commentary: The penetration of Earthquake insurance in Indonesia - The Role of Insurance Industry in protecting the Earthquake Prone Areas ……………………29 Map
Peta
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2015, per 31 Desember 2015 ………………………………34
Indonesian Earthquake Exposure Distribution by Province, Underwriting Year 2015, as at 31 December 2015 ………………………………….34
Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2015 …………………………35
Indonesian Earthquake Distribution M > 5 and Claim Incurred 2015 ……………………………...35
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2015, per 31 Desember 2015, Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred UY 2015…………………………………………....36
Indonesian Earthquake Exposure Distribution by Province, Underwriting Year 2015, per 31 December 2015, Indonesian Earthquake Distribution M > 5 and Claim Incurred UY 2015 …………………………………………………...…36
Indonesian Earthquake Insurance Exposure
Exposure Asuransi Gempa Bumi Indonesia
iii
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
Tabel 2.1. Exposure Per Cresta Zone ……..37 Tabel 2.2. Exposure Per Okupasi………......39 Tabel 2.3. Exposure Per Interest………........41 Tabel 2.4. Exposure Per Provinsi……………43 Tabel 2.5. Exposure Per Kelas Konstruksi...44
DESEMBER 2015
Table 2.1. Exposure By Cresta Zone ............... 37 Table 2.2. Exposure By Occupation ................. 39 Table 2.3. Exposure By Interest ....................... 41 Table 2.4. Exposure By Province………….........43 Table 2.5. Exposure By Class of Construction..44
Indonesian Earthquake Insurance Gross premium
Premi Bruto Asuransi Gempa Bumi Indonesia
Tabel 3.1. Premi Bruto Per Cresta Zone…….46 Tabel 3.2. Premi Bruto Per Okupasi…………48 Tabel 3.3. Premi Bruto Per Interest……….....50 Tabel 3.4. Premi Bruto Per Provinsi…………………….........................…52 Tabel 3.5. Premi Bruto Per Kelas Konstruksi .................................................................... 53
Table 3.1. Gross Premium by Cresta Zone……46 Table 3.2. Gross Premium by Occupation.........48 Table 3.3. Gross Premium by Interest...............50 Table 3.4. Gross Premium by Province……..…52 Table 3.5. Gross Premium by Class of Construction………………………………………53
Indonesian Earthquake Insurance Number of Risk
Jumlah Risiko Asuransi Gempa Bumi Indonesia
Tabel 4.1. Jumlah Risiko Per Cresta Zone .. 55 Tabel 4.2. Jumlah Risiko Per Okupasi ......... 57 Table 4.3. Jumlah Risiko Per Kelas Konstruksi .................................................................... 59 Table 4.4. Jumlah Risiko Per Provinsi......…61
Table 4.1. Number of Risk By Cresta Zone ..... 55 Table 4.2. Number of Risk By Occupation ...... 57 Table 4.3. Number of Risk By Construction Class ………………………………………….................59 Table 4.4. Number of Risk By Province ......….61
Klaim Asuransi Gempa Bumi Indonesia
Indonesian Earthquake Insurance Claim
Tabel 5.1. Frekuensi Klaim Per Cresta Zone.62 Tabel 5.2. Frekuensi Klaim Per Okupasi……64 Tabel 5.3. Frekuensi Klaim Per Provinsi……66 Tabel 5.4. Klaim Per Cresta Zone……………67 Tabel 5.5. Klaim Per Okupasi………………..69 Tabel 5.6. Klaim Per Provinsi………………..71
Table 5.1. Claim Frequency By Cresta Zone…..62 Table 5.2. Claim Frequency By Occupation……64 Table 5.3. Claim Frequency By Province………66 Table 5.4. Claim By Cresta Zone……………….67 Table 5.5. Claim By Occupation………………...69 Table 5.6. Claim By Province…………………..71 Risk and Claim Profile
Profil Risiko dan Klaim
Underwriting Year 2011 - 2015, Seluruh Okupasi ……………………………………….72 Underwriting Year 2015, Seluruh Okupasi …73
Underwriting Year 2011 - 2015, All Occupation………………………………………..72 Underwriting Year 2015, All Occupation ……….73
iv
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Underwriting Year 2014, Seluruh Okupasi …74 Underwriting Year 2013, Seluruh Okupasi …75 Underwriting Year 2012, Seluruh Okupasi …76 Underwriting Year 2011, Seluruh Okupasi …77
Underwriting Year 2014, All Occupation ……….74 Underwriting Year 2013, All Occupation ……….75 Underwriting Year 2012, All Occupation ………76 Underwriting Year 2011, All Occupation ……….77
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2015
Risk and Profile Claim Underwriting Year 2015 By Occupation
Okupasi Agrikultural………………………….78 Okupasi Komersial …………………………..79 Okupasi Industrial ……………………………80 Okupasi Residensial …………………………81
Occupation Agricultural………………………….78 Occupation Commercial ………………………...79 Occupation Industrial ……………………………80 Occupation Residential ………………………….81
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2014
Risk and Profile Claim Underwriting Year 2014 By Occupation
Okupasi Agrikultural………………………….82 Okupasi Komersial …………………………..83 Okupasi Industrial ……………………………84 Okupasi Residensial …………………………85
Occupation Agricultural ………………………….82 Occupation Commercial ………………………...83 Occupation Industrial ……………………………84 Occupation Residential ………………………….85
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2013
Risk and Profile Claim Underwriting Year 2013 By Occupation
Okupasi Agrikultural………………………….86 Okupasi Komersial …………………………..87 Okupasi Industrial ……………………………88 Okupasi Residensial …………………………89
Occupation Agricultural ………………………….86 Occupation Commercial ………………………...87 Occupation Industrial ……………………………88 Occupation Residential ………………………….89
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2012
Risk and Profile Claim Underwriting Year 2012 By Occupation
Okupasi Agrikultural………………………….90 Okupasi Komersial …………………………..91 Okupasi Industrial ……………………………92 Okupasi Residensial ……………….………..93
Occupation Agricultural ………………………….90 Occupation Commercial ………………………...91 Occupation Industrial ……………………………92 Occupation Residential …………………………93
Profil Risiko dan Klaim Underwriting Year Per Okupasi 2011
Risk and Profile Claim Underwriting Year 2011 By Occupation
v
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Okupasi Agrikultural………………………….94 Okupasi Komersial………………………......95 Okupasi Industrial…………………………….96 Okupasi Residensial..…………………….....97
Occupation Agricultural ………………………….94 Occupation Commercial ………………………...95 Occupation Industrial ……………………………96 Occupation Residential ………………………….97
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Cresta Zone
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2015……………………………………………98 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2014……………………………………………99 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2013…………………………………………..100 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2012…………………………………………..101 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Cresta Zone, Underwriting Year 2011…………………………………………..102
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Cresta Zone
Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2015………………………………………………..98 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2014……………………………………………......99 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2013……………………………………………....100 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2012………………………………………………101 Exposure, Gross Premium, Number of Risk & Claim by Cresta Zone, Underwriting Year 2011………………………………………………102
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Occupation
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Okupasi
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2015…………………………………………..103 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2014…………………………………………..104 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2013…………………………………………..105 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2012…………………………………………..106
Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2015………………………………………………103 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2014………………………………………………104 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2013………………………………………………105 Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2012………………………………………………106
vi
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Okupasi, Underwriting Year 2011…………………………………………..107
DESEMBER 2015
Exposure, Gross Premium, Number of Risk & Claim by Occupation, Underwriting Year 2011………………………………………………107
Indonesian Earthquake Insurance Exposure, Gross Premium, Number of Risk and Claim By Province
Exposure, Premi Bruto, Jumlah Risko dan Klaim Asuransi Gempa Bumi Indonesia Per Provinsi
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2015…….. 108 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2014……...109 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2013……...110 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2015……………………………………………..108 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2014………...109 Exposure, Premi Bruto, Jumlah Risiko & Klaim per Provinsi, Underwriting Year 2013………...110 Exposure, Premi Bruto, Jumlah Risiko & Klaim
2012……………………………………………111
per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim
2012……………………………………………..111
per Provinsi, Underwriting Year
Exposure, Premi Bruto, Jumlah Risiko & Klaim
2011……………………………………………112
per Provinsi, Underwriting Year 2011……………………………………………..112
Lampiran 1. Daftar Istilah…….………………………………113 2.Tarif asuransi Gempa Bumi Indonesia …….……….……….............................................115 3. Zona Asuransi Gempa Bumi Indonesia………116 4. Cresta Zone Indonesia…………………………129 5. Skala First Loss…………………………………136 6. Tabel Short Periode kurang dari 1 tahun…..………………………..…………………..137 7. Skala Indemnity Period………………………...138
Attachment 1.Glossaries……………………………………..…..113 2. Indonesian Earthquake Insurance Tariff…………………………………………………..115 3. Cresta Zone and Zone Table……………………116 4. Indonesia Cresta Zone ………………………….129 5. First Loss Scale …..………………………………136 6. Short Period Table Less Than One Year Period…………………………………………………137 7. Indemnity Period Scale………………………..…138
Referensi 1. Otoritas Jasa Keuangan (OJK). 2. Badan Pusat Statistik (BPS).
Reference 1. Financial Service Authority (OJK). 2. Central of Statistic Bureau (BPS).
vii
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
*) 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
viii
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Ikhtisar Statistik Asuransi Gempa Bumi Indonesia Desember 2015 Statistic Overview of Indonesia Earthquake Insurance December 2015 A. Umum
A. General
Berdasarkan
Pusat
Based on Central of Statistics Bureau
Statistik, Perekonomian Indonesia pada tahun
Data, Indonesian economic in 2015 as
2015 sebagaimana diukur dari Produk Domestik
measured by Gross Domestic Product (GDP)
Bruto
4,79%
increased by 4.79 % compared to 2014. GDP
dibandingkan tahun 2014. Nilai PDB Indonesia
based on Constant Price 2010 in 2015 reached
atas dasar harga konstan 2010 pada tahun 2015
the amount of Rp8,976.9 trillion while in 2014
mencapai Rp8.976,9 triliun sedangkan pada
was Rp8,566.3 trillion. If it is based on Current
tahun 2014 sebesar Rp8.566,3 triliun. Bila dilihat
Market Price, GDP in 2015 was Rp11,540.9
berdasarkan harga berlaku, PDB tahun 2015
trillion while in 2014 was Rp10,565.8 trillion.
(PDB),
data
tumbuh
Badan
sebesar
adalah sebesar Rp11.540,8 triliun sedangkan tahun 2014 adalah Rp10.565,8 triliun. Sampai dengan kuartal ke empat tahun
Until fourth quarter of 2015, according
2015, sesuai data Asosiasi Asuransi Umum
to the General Insurance Indonesia Asociation
Indonesia (AAUI), pencapaian Premi Brutto
(AAUI) data, General Insurance gross premium
untuk seluruh lini usaha Asuransi Umum adalah
achievement for all business line was
sebesar Rp58.888,28 miliar. Sedangkan Premi
Rp58,888.28 billion. Whereas gross premium
Brutto khusus untuk Lini Usaha Harta Benda
especially for property business line was
mencapai Rp17.673,93 miliar. Pertumbuhan
Rp17,673.93 billion. The Gross Premium
Premi Brutto lini usaha Harta Benda kuartal ke
growth for property business line in third quarter
tiga tahun 2015 dibandingkan dengan kuartal
2015 to third quarter 2014 was 6.7%, whereas
ketiga tahun 2014 adalah sebesar 6,7%,
the claims growth by 22.2%.
sedangkan pertumbuhan klaimnya sebesar 22,2%. Sesuai Surat Edaran Otoritas Jasa
In accordance to Financial Services
Keuangan (OJK) Nomor 21/SEOJK.05/2015,
Authority
tanggal 30 Juni 2015, menetapkan zona dan tarif
21/SEOJK.05/2015, 30 June 2015, there are
asuransi gempa bumi Indonesia, revisi dari
some changes in earthquake rate zone for
regulasi
regency related to the previous circular letter
sebelumnya
(SE
OJK
No.
06/D.05/2013, tanggal 31 Desember 2013).
(OJK)
Circular
Letter
No
(No. 06/D.05/2013, 31 December 2013).
1
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Pada SE OJK 2015 (terbaru), sebanyak
According to SE OJK on 2015 (the latest),
134 Daerah Tingkat II (Kota/Kabupaten)
134 regency (City/District) have increased the
mengalami peningkatan risiko dan berpindah
risk and shifts the level up compared to the
naik ke level zona di atasnya dibandingkan
previous zone in the SE OJK 2013. While other
dengan SE OJK 2013. Sedangkan 104 Daerah
104 regency have change the rate zone (drop).
Tingkat II lainnya mengalami penurunan.
Premium rate have drops in the range 4%-21%
Sedangkan tarif mengalami penurunan pada
for Zona I-IV while constant or no change in
Zona I – IV dalam kisaran 4%-21% sedangkan
zona V.
tarif pada Zona V tidak ada perubahan (Lampiran xx). Selama
tahun
2015,
OJK
telah
During
2015,
OJK
has
issued
menerbitkan regulasi terkait Gempa Bumi yaitu:
regulations related to Earthquake i.e.: Financial
Surat Edaran Otoritas Jasa Keuangan Nomor
Service Authority Service Circular Letter No
21/SEOJK.05/2015, tentang Penetapan Tarif
21/SEOJK.05/2015, about Premium tarrif
Premi Atau Kontribusi Pada Lini Usaha
arrangement or Property lines of business
Asuransi
contribution and Motor Vehicle Insurance
Harta
Benda
Dan
Asuransi
Kendaraan Bermotor Tahun 2015, tanggal 30
2015, date June 30 2015.
Juni 2015. B. Struktur Pasar
B. Market Structure
Berdasarkan data OJK pada buku Direktori
Based on OJK data in the book of
2015: Industri Keuangan Non Bank, terdapat 76
Directory 2015: Non Bank Financial Institution,
perusahaan asuransi umum, 6 perusahaan
there are 76 general insurance companies, 6
reasuransi, 2 asuransi sosial, dan 3 perusahaan
reinsurance companies, 2 social insurance
asuransi wajib yang memiliki izin beroperasi di
companies, and 3 mandatory insurance
Indonesia.
companies having operating licenses in Indonesia.
C. Premi Bruto
C. Gross Premium
Sampai dengan 31 Desember 2015,
As at 30 June 2015, earthquake gross
premi bruto asuransi gempa bumi Underwriting
premium for Underwriting Year 2011 was
Year 2011 adalah sebesar Rp2.823,4 miliar.
Rp2,823.4
Premi bruto untuk Underwriting Year 2012
Underwriting
2
billion. Year
Gross 2012
premium was
for
recorded
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
tercatat Rp2.719,6 miliar, sedangkan untuk
Rp2,719.6 billion, while for Underwriting Year
Underwriting Year 2013 adalah Rp4.530,3 miliar.
2013 was Rp4,530.3 billion. For Underwriting
Untuk Underwriting Year 2014 dan 2015 adalah
Year 2014 and 2015 were Rp5,004.5 billion and
Rp5.004,5 miliar dan Rp2.634,9 miliar. Angka –
Rp2,634.9 billion. These figures would certainly
angka ini akan terus bergerak naik terutama
increase especially for Underwriting Year 2014
untuk Underwriting Year 2014 dan 2015.
and 2015.
Tabel 1.1 menyajikan rincian premi bruto
The table 1.1 shows the details of gross
berdasarkan jenis okupasi dari Underwriting
premium
based
on
occupation
from
Year 2011 hingga Underwriting Year 2015.
Underwriting Year 2011 to Underwriting Year
Prosentase okupasi Industrial selalu berada
2015. Industrial occupation always has the
pada posisi pendapatan tertinggi dibanding 3
biggest percentage income compared to 3
(tiga) okupasi lainnya (Agrikultural, Komersial,
(three) remaining occupations (Agricultural,
Residensial), yaitu di atas 48% dari total premi.
Commercial, Residential), that is above 48 % from premium total.
Meskipun okupasi Komersial, Residensial
Although occupation of Commercial,
dan Agrikultural tidak memberikan kontribusi
Residential and Agricultural do not contribute
premi sebesar okupasi Industrial, namun ketiga
premium as much as Industrial occupation,
okupasi tersebut memperlihatkan pertumbuhan
those three occupation show significant
premi yang cukup signifikan. Hal ini terlihat
premium growth. In this case, the premium
terutama pada premi okupasi Residensial pada
under Residential occupation in Underwriting
Underwriting Year 2014 yang meningkat
Year 2014 increased by 35.21% from
sebesar 35,21% dari Rp473.260,42 juta di
Rp473,260.42 million in Underwriting Year 2013
Underwriting Year 2013 menjadi Rp639.897,49
to Rp639,897.49 million. The most affected
juta. Faktor yang paling mempengaruhi angka
factor to number of risks is due to the significant
tersebut adalah kenaikan yang signifikan di
increasing in the Central Java and East Java
Provinsi Jawa Tengah dan Jawa Timur,
province, especially in Disctrict of Semarang
terutama Kabupaten Semarang dan Kota
and City of Surabaya.
Surabaya. Kenaikan ini di duga diakibatkan oleh
This increase was suspected due to Kelud
peletusan Gunung Kelud pada 13 Februari 2014
eruption at 13 February 2014 in East Java
di daerah Jawa Timur dimana abu hasil
Province area where the volcanic ash spread to
peletusan menyebar hingga ke Kota/ Kabupaten
city/district in Central Java and East Java.
di Jawa Tengah dan Jawa Timur (Ulasan
(Insurance Commentary: The penetration of
3
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Asuransi: Penetrasi Asuransi Gempabumi
Earthquake insurance in Indonesia - The Role
Indonesia
of Insurance Industry in protecting the
-
Peranan
Industri
Asuransi
Melindungi Area Rawan Gempa).
Earthquake Prone Areas)
Tabel 1.1 Premi Bruto dan Rasio Berdasarkan Okupasi per 31 Desember 2015 Table 1.1 Gross Premium and Ratio By Occupation as at 31 December 2015 Dalam Jutaan Rupiah In Million Rupiah
Underwriting Year Agrikultural / Agricultural
Okupasi / Occupation Total Komersial / Commercial
Industri / Industrial
Residensial / Residential
2011
23,897.32
0.85%
758,198.68
26.85%
1,698,851.22
60.17%
342,408.99
12.13%
2,823,356.20
2012
29,419.23
1.08%
657,724.46
24.18%
1,685,920.05
61.99%
346,546.10
12.74%
2,719,609.85
2013
35,250.82
0.78%
1,812,094.73
40.00%
2,209,696.18
48.78%
473,260.42
10.45%
4,530,302.15
2014
27,772.33
0.55%
1,084,871.60
21.68%
3,251,978.32
64.98%
639,897.49
12.79%
5,004,519.74
2015
15,344.91
0.58%
821,489.76
31.18%
1,440,561.41
54.67%
357,455.12
13.57%
2,634,851.21
T OT AL
131,684.61
5,134,379.23
10,287,007.19
D. Jumlah Risiko
2,159,568.13
17,712,639.15
D. Number of Risk
Tabel 1.2 menyajikan jumlah risiko pada
Table 1.2 shows the number of risks from
Underwriting Year 2011 hingga Underwriting
Underwriting Year 2011 to Underwriting Year
Year 2015 yang tercatat sampai dengan 31
2015 recorded until 31 December 2015.
Desember 2015. Tabel 1.2 Jumlah Risiko Berdasarkan Okupasi per 31 Desember 2015 Table 1.2 Number of Risk By Occupation as at 31 December 2015 Okupasi
U/Y 2011
Occupation
Jumlah / Total
U/Y 2012 %
Jumlah / Total
U/Y 2013 %
Jumlah / Total
U/Y 2014 %
Jumlah / Total
U/Y 2015 %
Jumlah / Total
%
Agricultural / Agricultural
A
379
0.23
420
0.24
535
0.28
487
0.22
172
0.12
Komersial / Commercial
C
91,426
55.10
94,471
54.52
100,579
53.17
116,563
51.89
70,863
49.12
Industrial / Industrial
I
14,997
9.04
17,184
9.92
18,427
9.74
18,513
8.24
11,185
7.75
Residensial / Residential
R
Jumlah / Total
59,138
35.64
61,199
35.32
69,631
36.81
89,058
39.65
62,040
43.01
165,940
100.00
173,274
100.00
189,172
100.00
224,621
100.00
144,260
100.00
4
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number of Risk By Occupation As at 31 Dec 2015
Industrial
Agricultural 20000
600.00
18000 500.00
16000 14000
400.00
12000 10000
300.00
8000 200.00
6000 4000
100.00
2000
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
UY 2012
UY 2013
UY 2014
UY 2015
Residential
Commercial 100000
140,000.00
90000
120,000.00
80000
70000
100,000.00
60000
80,000.00
50000
60,000.00
40000
40,000.00
30000 20000
20,000.00
10000
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
UY 2012
UY 2013
UY 2014
UY 2015
Jumlah risiko terbesar untuk setiap
The highest number of risks for each
Underwriting Year, dalam hal ini dari
Underwriting Year, in this case from Underwriting
Underwriting Year 2011 sampai dengan
Year 2011 to Underwriting Year 2015, is under
Underwriting Year 2015 ada pada okupasi
Commercial occupation, which is always on the
Komersial, yaitu selalu berada pada rasio di
ratio above 49% from the total risk. Then, it is
atas 49% dari total risiko. Kemudian diikuti
followed by Residential occupation with ratio
oleh okupasi Residensial dengan rasio di atas
above 35%.
35%. 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
positif. Hal ini dibuktikan dengan apabila
positive. This is proved which the highest gross
5
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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 2011 – 2015
in Underwriting Year 2011 – 2015 are as follows:
adalah sebagai berikut: Jumlah Risiko Terbesar pada Okupasi Komersial Berdasarkan Kode Okupasi per 31 Desember 2015 The Highest Number Of Risk in Commercial Occupation as at 31 December 2015 by Occupation Code Deskripsi & Kode Okupasi
U/Y 2011
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
Description & Occupation Code
Jumlah / Total
Jumlah / Total
Jumlah / Total
Jumlah / Total
Jumlah / Total
2934 29341
0 22,158
0 22,998
0 15,976
27,917 0
16,792 0
29371
12,800
13,061
14,346
0
0
293941
1
2
3
0
0
34,959
36,061
30,325
27,917
16,792
Shops Shops - Subject to Waranty A Private Warehouses and Storehouses - Subject to Warranty A Veem and Bonded Warehouses Subject to Warranty A Jumlah / 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 2011 –
Year 2011 – 2015 adalah sebagai berikut:
2015 are as follows:
Jumlah Risiko Terbesar pada Okupasi Residensial Berdasarkan Kode Okupasi per 31 Desember 2015 The Highest Number Of Risk in Residential Occupation as at 31 December 2015 by Occupation Code Deskripsi & Kode Okupasi
U/Y 2011
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
Description & Occupation Code
Jumlah / Total
Jumlah / Total
Jumlah / Total
Jumlah / Total
Jumlah / Total
35,956
35,388
34,149
48,291
37,268
35,956
35,388
34,149
48,291
37,268
Dwelling Houses, not classified as Shop-Houses (Ruko), not exceeding 3 storeys. Jumlah / Total
2976
6
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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 2011 yaitu sebanyak 89
2011 was 89 claims and it dominated by
klaim dan didominasi okupasi Komersial
Commercial occupation of 64 claims. It was
sebanyak 64 klaim. Hal ini disebabkan oleh
caused by Earthquakes in 2011 namely Nusa Dua
kejadian gempa bumi di 2011 yaitu Gempa
Earthquake on 13 October 2011 with a magnitude
Bumi Nusa Dua pada tanggal 13 Oktober 2011
of 6.8 S.R and Sibolga Earthquake on 6
dengan kekuatan 6,8 S.R dan Gempa Bumi
November 2011 with a magnitude of 6.7 S.R.
Sibolga pada tanggal 6 November 2011 dengan kekuatan 6,7 S.R. Tabel 1.3 Frekwensi Klaim Berdasarkan Okupasi per 31 Desember 2015 Table 1.3 Claim Frequency By Occupation as at 31 December 2015 Okupasi
Underwriting Year
Occupation
2011
2012
2013
2014
2015
Agrikultural / Agricultural
A
0
0
0
0
0
Komersial / Commercial
C
64
15
47
10
14
Industrial / Industrial
I
0
0
5
1
0
Residensial / Residential
R
25
1
7
3
7
89
16
59
14
21
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.
7
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Tabel 1.4 Frekuensi Incurred Claim Underwriting Year 2015 Per 31 Desember 2015 Table 1.4 Frequency Incurred Claim Underwriting Year 2015 as at 31 December 2015 *) Dalam Rupiah *) In IDR
Incurred Claim (BAND) *)
Frekuensi
Claim Incurred (BAND)*)
Frequency
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
Jumlah Incurred Claim Rata-rata Incurred Claim Incurred Claim Tertinggi Inccured Claim Terendah Total Claim Incurred
5 7 2 4 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 21
Average Claim Incurred
74,368,250 501,550,003 362,500,000 1,101,924,000 500,000,000 646,262,500 0 1,100,000,000 0 0 0 0 0 0 0 0 0 0 0 0 4,286,604,753
Highest Claim Incurred
14,873,650 71,650,000 181,250,000 275,481,000 500,000,000 646,262,500 0 1,100,000,000 0 0 0 0 0 0 0 0 0 0 0 0
Lowest Claim Incurred
30,000,000 100,000,000 187,500,000 300,000,000 500,000,000 646,262,500 0 1,100,000,000 0 0 0 0 0 0 0 0 0 0 0 0
5,000,000 50,000,001 175,000,000 237,500,000 500,000,000 646,262,500 0 1,100,000,000 0 0 0 0 0 0 0 0 0 0 0 0
16 17 18 19 20
FREQUENCY INCURRED CLAIM UY 2015 as at 31 Desember 2015
10 9 8 7 7
Frequency
6 5
5 4
4
Frekuensi Frequency
3 2 2 1
1
1
1 0
0 0 50 0
100 50
200 100
300 200
500 300
750 500
1,000 750
1,500 1,000
2,000 1,500
0
0
0
0
2,500 2,000
3,000 2,500
4,000 3,000
5,000 4,000
0 7,500 5,000
0 0 10,000 7,500
20,000 10,000
0 50,000 20,000
0
0 100,000 500,000 50,000 100,000
0 up 500,000
Incurred Claim (Band) in million IDR
8
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Dengan melihat tabel 1.5 tampak bahwa jumlah
klaim
terbesar
berada
Looking at table 1.5 below, it shows that the
pada
largest claim is in the Underwriting Year 2013. The
Underwriting Year 2013. Klaim yang terbesar
largest claim is under Commercial occupation that
adalah pada okupasi Komersial, yaitu 99.66%
is 99.66% of the total claim in Underwriting Year
dari total klaim di Underwriting Year 2013 atau
2013 or Rp286.9 billion.
sebesar Rp286,9 miliar. Tabel 1.5 Jumlah Klaim Berdasarkan Okupasi per 31 Desember 2015 Dalam Rupiah
Table 1.5 Claim Amount By Occupation as at 31 December 2015
In IDR
Underwriting Year Okupasi / Occupation
2011
2012
Jumlah / Total
%
2013
Jumlah / Total
%
2014
Jumlah / Total
%
Jumlah / Total
2015 %
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
9,686,155,241.29
97.20
1,877,689,515.05
98.51
286,901,665,720.40
99.66
624,550,950.05
66.80
3,378,130,752.00
0.00
Industrial / Industrial
I
0.00
0.00
0.00
0.00
890,057,888.00
0.31
200,000,000.00
21.39
0.00
0.00
Residensial / Residential
R
279,190,155.04
2.80
28,314,000.00
1.49
89,882,464.00
0.03
110,464,625.00
11.81
858,474,000.00
0.00
9,965,345,396.33
100.00
1,906,003,515.05
100.00
287,881,606,072.40
100.00
935,015,575.05
100.00
4,236,604,752.00
0.00
Jumlah / Total
Table 1.6 shows earthquake events occurred in 2015 and the corresponding incurred claims as at 31 December 2015.
Tabel 1.6 menyajikan kejadian Gempa Bumi Tahun 2015 dan Incurred Claim sampai dengan 31 Desember 2015.
Tabel 1.6 Kejadian Gempa Bumi Tahun 2015 dan Klaim per 31 Desember 2015 Table 1.6 Earthquak e Event in 2015 and Claim as at 31 December 2015 Dalam Rupiah In IDR
Kejadian Event
Tanggal Kejadian Date of Loss
Kekuatan Gempa (S.R) Magnitude (S.R)
Manado
19-Mar-15
5.2 SR
15,832,300.00
Sorong
24-Sep-15
6.8 SR
3,283,842,788.00
Pandeglang
4-Nov-15
5.2 SR
1,100,000,000.00
9
Klaim Claim
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Gambar 3. Peta Intensitas dan ShakeMap Gempa Manado dan Sorong setelah kejadian (sumber peta intensitas: http://www.earthquake.usgs.gov). Picture 3. Intensity Map and ShakeMap Manado and Sorong Earthquake after event (intensity map sources: http://www.earthquake.usgs.gov).
10
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Tabel 1.7 menyajikan klaim untuk event Manado, Sorong, Pandeglang perjenis okupasi.
Table 1.7 shows Manado, Pandeglang event by occupation.
Sorong,
Tabel 1.7 Kejadian Gempa Bumi Tahun 2015 dan Klaim per Okupasi per 31 Desember 2015 Table 1.7 Earthquake Event in 2015 and Claim per Occupation as at 31 December 2015 Okupasi Occupation Frekuensi / Frequency Tanggal Kejadian Date of Loss Agrikultural / Komersial / Industrial /
Kejadian Event
Agricultural
Commercial
Industrial
Jumlah (Dalam Rupiah) / Amount (In IDR) Residensial / Agrikultural / Residential Agricultural
Komersial / Commercial
Industrial /
Residensial /
Industrial
Residential
Manado
19-Mar-15
0
1
0
0
0.00
15,832,300.00
0.00
0.00
Sorong
24-Sep-15
0
10
1
7
0.00
2,175,368,788.00
200,000,000.00
908,474,000.00
Pandeglang
4-Nov-15
0
1
0
0
0.00
1,100,000,000.00
0.00
0.00
Tabel di bawah ini adalah daftar klaim terbesar sampai dengan tanggal 31 Desember 2015.
The table below is a list of the largest claims as at 31 December 2015.
Daftar Klaim - Klaim Terbesar Posisi 31 Desember 2015 List of The Largest Claims as at 31 December 2015 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 754,824,800,884.61
1
ACEH
2
YOGYA
27-05-2006
5.9
289,242,751,716.49
3
PADANG
06-03-2007
5.8
22,480,129,238.99
4
BENGKULU
12-09-2007
7.9
48,986,738,634.52
5
PADANG
16-08-2009
6.9
42,782,942,555.00
6
TASIKMALAYA
02-09-2009
7.3
24,310,815,987.24
7
PARIAMAN
30-09-2009
7.6
1,083,832,055,213.85
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
*)
247,196,101,790.94
*) 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 31 Desember 2015. Tabel tersebut
loss ratio as at 31 December 2015. The table
menunjukkan bahwa loss ratio tertinggi berada
show that the biggest loss ratio was at
pada Underwriting Year 2013 sebesar 6.35%. Hal
Underwriting Year 2013 i.e. 6.35%. It was
11
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
ini dipengaruhi oleh nilai klaim yang cukup tinggi
influenced by large amount of claim that
yang mayoritas disebabkan dari Erupsi Gunung
majority resulting from Kelud Eruption in
Kelud tahun 2014.
2014.
Tabel 1.8 Jumlah Polis dan Loss Ratio per 31 Desember 2015 Table 1.8 Number of Policies and Loss Ratio as at 31 December 2015 Underwriting
Jumlah Polis
Premi *)
Frekwensi Klaim
Jumlah Klaim *)
Year
Number of Policies
Premium *)
Claim Frequency
Incurred Claim *)
Loss Ratio
2011
165,940
2,823,356,200,046.76
89
9,965,345,396.33
0.35%
2012
173,274
2,719,609,848,391.34
16
1,906,003,515.05
0.07%
2013
189,172
4,530,302,148,356.92
59
287,881,606,072.40
6.35%
2014
224,621
5,004,519,735,884.30
14
935,015,575.05
0.02%
2015
144,260
2,634,851,214,057.95
21
4,236,604,752.00
0.16%
Keterangan : *) Dalam Rupiah *) In IDR
Tabel 1.9 menyajikan Premi dan Exposure per 31 Desember 2015.
Table 1.9 shows Premium and Exposure as at 31 December 2015.
Tabel 1.9 Premi dan Exposure per 31 Desember 2015 Table 1.9 Premium and Exposure as at 31 December 2015 Dalam Jutaan Rupiah In Million IDR
Premi
Exposure
Premium
Exposure
2011
2,823,356.20
2,155,987,725.64
2012
2,719,609.85
1,973,099,552.16
2013
4,530,302.15
2,758,609,333.16
2014
5,004,519.74
3,129,630,708.62
2015
2,634,851.21
1,822,722,407.25
T OT AL
17,712,639.15
11,840,049,726.83
Underwriting Year
12
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Analisis Exposure/ Exposure Analysis
Probable Maximum Loss (PML) Industri Asuransi Nasional Kualitas Data Menentukan Kualitas Manajemen Risiko Probable Maximum Loss (PML) of National Insurance Industry The data quality determines the risk management quality
Sejarah Catastrophe Model
The History of Catastrophe Model
Catastrophe model telah digunakan
Catastrophe model has been used intensively in
secara intensif di industri asuransi dan
insurance and reinsurance industry over the last
reasuransi pada satu dekade terakhir untuk
decade to calculate the loss expectation from
melakukan penghitungan ekspektasi kerugian
catastrophe events. Prior the existence of
asuransi pada suatu kejadian bencana alam.
catastrophe model, insurance industry made
Sebelum adanya catastrophe model, industri
estimation of the probable loss of total sum
asuransi sudah melakukan estimasi atas
insured in a region when the catastrophe event
kemungkinan kerugian dari total sum insured
struck. The estimation was made by experience
di suatu area yang dapat terjadi karena suatu
and knowledge from historical earthquake event
kejadian gempa. Estimasi ini biasanya
or occasionally by subjective judgement. Yet, it
berdasarkan pengetahuan dan pengalaman
surely can’t give the best figures of probable loss.
atas
kejadian
gempa
atau
terkadang
berdasarkan judgement subjektif. Namun demikian, estimasi dengan cara-cara tersebut tentu saja tidak dapat memberikan angka kemungkinan kerugian yang baik. Secara
penerapan
Globally, early implementation of catastrophe
catastrophe model di industri asuransi dimulai
model in insurance industry starts at late 1980s. It
pada akhir 1980an. Implementasi diawali di
begins in United States which directly test by
industri asuransi Amerika Serikat yang pada
Hurricane Hugo at 21 September 1989 in South
saat
“dikalibrasi” dengan
Carolina and followed by Loma Prieta earthquake
terjadinya Badai Hugo pada 21 September
in San Francisco at 17 October 1989. Until now,
1989 di South Carolina dan Kejadian Gempa
catastrophe model continue to evolve and
Loma Prieta, San Fransisco pada 17 Oktober
improve.
itu
global,
langsung
awal
1989. Sampai dengan saat ini, catastrophe
13
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
model terus berkembang dan terus mengalami peningkatan.
Perkembangan yang paling signifikan adalah
Most significant developments are the level of
tingkat
dengan
computer used with high computing capabilities
kemampuan komputasi yang tinggi dan
and the use of Geographic Information System
penggunaan
(GIS)
penggunaan
komputer
platform
sistem
informasi
geografis (SIG) yang juga sangat membantu
which
very
helpful
in
portfolio
disaggregation.
dalam melakukan disagregasi portofolio. Perusahaan asuransi di Indonesia, secara
Theoretically, catastrophe model is a must for
teori, mutlak memerlukan dan membutuhkan
insurance companies in Indonesia as a risk
catastrophe model sebagai alat dalam
management tool. Earthquake event in the last
mengelola risiko. Kejadian gempa selama 10
decade shows the urgency of catastrophe model
tahun terakhir adalah gambaran bahwa tingkat
in managing risk. At early stage, the insurance
urgensi pemanfaatan catastrophe model
industry needs database of sum insured with high
dalam kegiatan manajemen risiko sudah tidak
resolution. Else, the development of earthquake
dapat ditunda. Untuk mengarah ke sana, pada
catalog and research in seismology.
tahap awal ini industri asuransi memerlukan basis data sum insured dengan resolusi tinggi. Selain itu pengembangan basis data katalog gempa dan penelitian ilmu kegempaan yang terus ditingkatkan. Peran
Catastrophe
Model
Dalam
Role of Catastrophe Model in Decision Making
Proses yang terjadi di dalam catastrophe
Simply put, the process in catastrophe model is
model secara sederhana dapat dijelaskan
best explain in three major steps. First, the hazard
dalam tiga tahapan utama. Pertama adalah
analysis where it begins with the making of
analisis tingkat bencana (hazard), dimana
sequential synthetic earthquake based on
proses dimulai dengan pembuatan rangkaian
historical catalog and fault activity analysis
gempa sintetis berdasarkan katalog histori dan
independently. This synthetic earthquake then
Pengambilan Keputusan
analisis aktivitas patahan secara independen.
14
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Gempa sintetis ini kemudian disimulasikan
simulated and its effect is calculated on the soil
dan dihitung efeknya di permukaan tanah
surface with taking into account factors
dengan memperhitungkan faktor-faktor seperti origin gempa, jenis gempa yang
such as the origin of earthquake, the type of
dihasilkan dan jenis tanah di titik pengamatan.
earthquake, and the type of soil in observation
Proses kedua adalah manajemen eksposur.
point. The second step is Exposure management.
Di dalam modul ini, pengguna harus
In this module, the user must define accurately the
mendefiniskan lokasi dari tertanggung dengan
location of insured. Then, define the sensitivity
sangat akurat. Lalu kemudian mendefinisikan
curve accordance with the type of building
kurva kerentanan sesuai dengan jenis
construction. Third, financial module in which the
bangunan itu sendiri. Modul ketiga adalah
crosses of two previous process create loss
modul
dimana
expectation either because of damage to the
sebelumnya
building, content, and also business interruption.
menimbulkan ekspektasi kerugian baik karena
The probabilistic nature of the calculation creates
kerusakan bangunan, kerusakan content dan
loss figure in exceedance probability curve and
juga karena bussiness interuption. Sifat dari
converted into PML curve at return period.
manajemen
persilangan
dua
finansial proses
penghitungan yang sedari awal dilakukan secara
probabilistik
menghasilkan
nilai
kerugian yang juga probabilistik dalam bentuk kurva exceedence probability atau biasa dikonversi ke kurva PML pada periode ulang (return period). Keluaran catastrophe model berupa PML
PML as the output of catastrophe model is use to
ini digunakan sebagai estimasi kemungkinan
estimate the worst probable loss. The figure then
terburuk atas kerugian yang dapat terjadi. Nilai
used by insurance company to determine upper
ini biasanya digunakan oleh perusahaan
limit of own retention before purchasing
asuransi untuk menentukan batas atas dan
reinsurance cover. Other output of catastrophe
retensi dari cover proteksi atas risiko yang
model is the average annual loss (AAL) which can
kemudian diretrosesikan ke perusahaan
be define as the minimum of annual premium
reasuransi.
dari
collected by insurance company to cover probable
catastrophe model adalah average annual
loss. AAL is often serve as technical price of
loss (AAL) yang secara sederhana dapat
coverage portfolio and the comparison with the
Selain
itu
keluaran
15
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
diartikan sebagai premium tahunan minimum
premium production can be used to control both
yang harus dikumpulkan oleh perusahaan
pricing and fund reserve. Eventually, this allow
asuransi untuk menutupi kerugian yang
insurance company to show capital adequacy with
mungkin terjadi. AAL ini juga biasa disebut
better judgement to the rating company.
sebagai technical price atas portfolio yang ditanggung sehingga perbandingan antara nilai AAL dengan nilai produksi premi perusahaan
di
tahun
tersebut
dapat
membantu perusahaan asuransi melakukan kontrol tentang seberapa baik penentuan harga yang sudah mereka lakukan dan seberapa cukup dana yang dicadangkan. Pada akhirnya, hal ini juga memungkinkan perusahaan asuransi untuk menunjukkan kecukupan modal untuk lembaga pemeringkat dengan judgement yang lebih baik. Tingkat Akurasi Data
Level of Data Accuracy
Alasan paling utama mengapa sering terjadinya
kesalahan
estimasi
The main reason of frequent error in loss
dalam
estimation of earthquake event (or other perils) is
penentuan kerugian akibat suatu kejadian
the quality of data input in the catastrophe model.
gempabumi (atau peril lainnya) adalah kualitas
Latest issue is the loss estimation of Hurricane
data yang dimasukkan ke dalam catastrophe
Catrina in 2011 at New Orleans, United States.
model tadi. Pelajaran terbaru untuk kasus ini
Catastrophe model simulation with resolution
adalah estimasi kerugian dari Badai Katrina
level per aggregate (per cresta) shows potential
yang terjadi pada tahun 2011 di New Orleans,
loss figure below expectation from insurance
Amerika Serikat (AS). Simulasi catastrophe
industry in United States. This drives practice
model dengan tingkat resolusi per aggregate
transformation in insurance industry (i.e. tighten of
(per cresta) memunculkan angka potensial
peril definition in policy wording) and the
kerugian di bawah ekspektasi industri asuransi
application of catastrophe modeling where data
AS. Sehingga industri asuransi mengalami
input now focus on per risk basis.
tuntutan klaim yang tidak pernah mereka duga sebelumnya. Hal ini memicu perubahan
16
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
praktik industri asuransi secara umum (misalnya pengetatan definisi peril di policy wording) dan praktik aplikasi catastrophe modeling secara khusus dimana input data yang tadinya per aggregate basis difokuskan menjadi per risk basis. Perusahaan
asuransi
AS
akhirnya
Insurance companies in United States take
mengambil tindakan serius untuk menangani
serious action of this issue. They invested
hal ini. Perusahaan asuransi berinvestasi
massively on catastrophe model to ensure the
secara masif untuk memastikan atribut dan
completeness of information i.e. geolocation
kelengkapan informasi tertanggung seperti
(longitude and latitude), type of building, type of
geo-lokasi (bujur dan lintang), jenis bangunan,
roof, age of building, and even to the detail of
jenis atap, umur bangunan dan bahkan
building’s secondary characteristics such as the
sampai ke detail karakteristik sekunder
strength of foundation, moment resisting frame,
bangunan seperti kekuatan pondasi, moment
moment resisting wall, etc.
resisting frame, moment resisting wall dan lainnya. Hal ini dilakukan sebagai kompensasi
This action was taken as compensation of
atas praktik asuransi di tingkat akar rumput
insurance practice at grass root which insensitive
yang belum sensitif dan belum terbiasa
and unfamiliar with data collection from insured. In
dengan pengumpulan data yang baik dari para
Indonesia, since 2007, MAIPARK has been
pemegang polis/ tertanggung. Di Indonesia,
introduced a standard template of which oblige the
sejak
telah
data of insured filled up to postal code. Although
memperkenalkan template standar yang
in practice it didn’t go well. Before an earthquake
mengharuskan data tertanggung diisi sampai
event occurs in high Exposure region such as
dengan detail kode pos. Namun demikian,
Jakarta and Bandung, it is better for Indonesia’s
secara praktik hal ini tidak berlangsung
insurance industry begin to improve data quality.
dengan baik. Sebelum sampai kepada
It’s time for insurance company to invest in
kejadian bencana gempa di area high
equipment supporting data quality to help field
Exposure seperti Jakarta dan Bandung
agent fulfill the completeness of information from
(knocking on wood), ada baiknya industri
insured.
tahun
2007
MAIPARK
asuransi di Indonesia mulai diarahkan ke jalur
17
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
peningkatan kualitas data yang mempunyai tujuan utama adalah kontrol portofolio yang baik. Sudah saatnya perusahaan asuransi berinvestasi kepada peralatan pendukung kualitas data sehingga agen di lapangan dapat dengan
mudah
memenuhi
informasi
kelengkapan data tertanggung.
Dengan berinvestasi dalam peningkatan
By making such investment, insurance company
kualitas data, perusahaan asuransi secara
will increase the quality of risk management and
langsung telah meningkatkan kualitas risk
control over portfolio also adding confidence level
management dan kontrol atas portofolio, dan
of PML, increase the effectiveness of reinsurance
secara tidak langsung menambah tingkat
cover, reduce the estimation of AAL, and
kepercayaan terhadap PML, meningkatkan
eventually cut the cost of the company.
efektifitas pembelian proteksi reasuransi, mereduksi perkiraan AAL yang pada akhirnya menghemat pengeluaran perusahaan. Analisis Eksposur Asuransi Gempabumi 2015 Pengembangan basis data dan analisis statistik
asuransi
gempabumi
Indonesia
Analysis of the Exposure in 2015
Earthquake
Insurance
The development of database and statistic analysis of earthquake insurance in Indonesia is
adalah salah satu alasan utama pendirian
one
of
the
reason
MAIPARK. Perciptaan basis data yang baik
establishment. Good and reliable database
dan reliable dinilai perlu untuk mendukung
creation is a necessity to support underwriting
proses underwriting dan risk profilling asuransi
process and risk profiling of earthquake
gempabumi. Sejalan dengan waktu dan
insurance. As time evolve and the evolution of
perkembangan teknologi, kebergantungan
technology, dependency of database and statistic
terhadap basis data dan statistik pun menjadi
is higher than before. Several insurance and
lebih tinggi. Beberapa perusahaan asuransi
reinsurance
dan reasuransi Indonesia sudah sangat serius
consideration of statistic analysis and the output
companies
behind
take
MAIPARK’s
a
serious
mempertimbangkan analisis statistik dan hasil
18
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
cat-model
sebagai
keputusan
untuk
dasar
pengambilan
pengelolaan
risiko
from catastrophe modeling as the basis of decision making to manage earthquake risk.
gempabumi ini. Untuk tahun 2015 ini MAIPARK mencatat
For 2015, MAIPARK records the Exposure on risk
eksposur di tahun 2015 (on risk as at 31
at IDR 1,957,255,081,385,380.00. The Exposure
Desember)
IDR
distribute relatively similar with the previous years.
Penyebaran
Figure 1 shows the Exposure distribution
eksposur ini relatif sama dengan tahun-tahun
concentrate at CRESTA 3 which consist the
sebelumnya. Gambar 1 memperlihatkan
Province of DKI Jakarta, West Java, and Banten.
kepada kita bahwa distribusi eksposur
The Exposure in CRESTA 3 reach 57.22% or
terkonsentrasi di CRESTA 3 yang terdiri dari
equal to IDR 1,119,854,370,289,750 in 2015.
adalah
1,957,255,081,385,380,-.
Provinsi DKI Jakarta, Jawa Barat dan Banten. Besaran eksposur di CRESTA 3 ini mencapai 57,22%
atau
sebesar
1,119,854,370,289,750.- Rupiah di tahun 2015. Dengan ketersedian data ini, MAIPARK
With this available data, MAIPARK simulated
melakukan simulasi catastrophe modelling
national catastrophe modelling that result
secara nasional yang menghasilkan perkiraan
approximately PML loss curve as in Picture 1.
kerugian dalam kurva PML seperti di gambar 1.
Gambar 1. Nilai PML ini adalah gambaran secara nasional semua portfolio asuransi gempabumi di tahun 2015, sehingga angka ini tidak dapat dijadikan acuan spesifik bagi satu perusahaan dikarenakan sebaran risiko dan nilai eksposur yang berbeda untuk tiap perusahaan.
19
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Figure 1. The PML serve as a national illustration for all earthquake insurance portfolio in 2015. It can’t be made as a specific reference for one company since the risk distribution and the Exposure amount is differ for each company. Nilai PML untuk skala nasional ini menggambarkan
kemugkinan
The PML amount for national scale illustrates the
terjadinya
probable loss in the future of earthquakes. Take
kerugian akibat gempa-gempa yang mungkin
one point in the return period of 500 years where
terjadi di masa datang. Bila kita ambil satu titik
the amount of probable loss is IDR 19.5 trillion or
di return period 500 tahun dimana nilai
1% of total Exposure, then statistically it can be
kemungkinan kerugian adalah 19.5 Trilyun
interpreted there is a probability of 99.8% that the
atau 1.0% dari total eksposur, maka secara
insurance industry will suffer of loss up to IDR 19.5
statistik hal ini dapat diinterpretasikan bahwa
trillion and there is a probability of 0.2% that the
ada probabilitas 99.8% bahwa industri
insurance industry will suffer of loss more than
asuransi akan menderita kerugian sampai
Rp19.5 trillion.
dengan Rp19.5 Trilyun dan ada 0.2% probabilitas industri asuransi akan mengalami kerugian lebih dari Rp19.5 Trilyun. Harus seberapa percayakah kita dengan
How confidence are we with PML? It all go back
PML tersebut? Hal ini dikembalikan lagi
to the data accuracy as explained before. As the
kepada akurasi data seperti yang dijelaskan
data given with resolution level up to District area,
pada bagian sebelumnya. Sebagaimana data
then the uncertainty must be taken into account.
yang diberikan dengan tingkat resolusi sampai
The loading with certain weight must be given to
dengan
anticipate the uncertainty that might occur.
Kabupaten,
maka
perlu
diperhitungkan juga uncertainty. Loading dengan bobot tertentu harus diberikan untuk mengantisipasi uncertainty yang muncul.
20
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Ulasan Aktuaria / Actuarial Commentary
Truncation dan Modifikasi pada Nilai Nol Truncation and Modification at Zero Misalkan
seorang
aktuaris
ingin
Suppose an actuary desires to model the
memodelkan distribusi peluang suatu peubah
probability distribution of a discrete random
acak diskrit 𝑁 yang menyatakan frekuensi
variable 𝑁 denotes frequency or the number of
atau banyak klaim yang diajukan suatu risiko
claims reported by risks or policyholders within
atau pemegang polis dalam suatu periode
a period of insurance (e.g. one year). The
asuransi (misalnya satu tahun). Dapat saja
possibilities are no observation at zero or
terjadi bahwa tidak terdapat pengamatan
𝑃𝑟(𝑁 = 0) = 0 during the period; i.e. any
bernilai nol atau Pr (N = 0) = 0 pada periode
risks claimed at least one. Otherwise, it may be
tersebut; berarti tiap risiko mengajukan klaim
numerous risks or policyholders are not
paling sedikit satu kali. Sebaliknya, dapat saja
claimed; i.e. the probability of a random variable
terjadi bahwa sangat banyak risiko atau
𝑁 at zero has the largest value. Therefore, the
pemegang polis yang tidak mengajukan klaim;
probability distribution model selection by
dengan kata lain, peluang peubah acak 𝑁
modifying probability value at zero play special
bernilai nol “sangat besar”. Oleh karena itu,
attention and it will be discussed in this actuarial
penentuan model distribusi peluang dengan
review section.
memodifikasi nilai peluang di titik nol menjadi salah satu perhatian penting dan akan dibahas pada ulasan aktuaria berikut ini. Mengikuti definisi peubah acak 𝑁 seperti
Consider a random variable 𝑁 defined
tersebut di atas, misalkan fungsi massa
above, suppose the probability mass function of
peluang perubah acak 𝑁 adalah
a random variable 𝑁 is
𝑝𝑘 = 𝑃𝑟(𝑁 = 𝑘) , 𝑘 = 0,1,2, … Definisi 1 Misalkan pk suatu fungsi massa
Definition 1 let p_k be the probability mass
peluang dari suatu peubah acak diskrit. Suatu
function of a discrete random variable.It is a
distribusi peluang diskrit dikatakan termasuk ke
member of the (a,b,0) class of distributions
21
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
dalam kelas (a, b, 0) apabila terdapat konstanta
provided that there exists constants a and b
a dan b sedemikian sehingga,
such that, 𝒑𝒌 𝒃 =𝒂+ 𝒑𝒌−𝟏 𝒌
,
𝒌 = 𝟏, 𝟐, 𝟑, …
Beberapa distribusi peluang yang termasuk
The Poisson, binomial, negative binomial, and
ke dalam kelas (𝑎, 𝑏, 0) adalah distribusi
geometric distributions belong to a class
Poisson, binomial, binomial negatif, dan
(𝑎, 𝑏, 0). The values of 𝑎 and 𝑏 for the four
geometri. Nilai a dan b untuk keempat distribusi
distributions are summarized in Table 1.
tersebut diberikan pada Tabel 1.
Tabel 1 : Kelas Distribusi (𝑎, 𝑏, 0) Table 1 : The (𝑎, 𝑏, 0) Class Distributions Distribution Poisson (𝜆) Binomial (𝑞, 𝑚)
𝒂 0 𝑞 − 1−𝑞 𝛽 1+𝛽 𝛽 1+𝛽
Binomial Negatif (𝑟, 𝛽) Geometri (𝛽)
Jika 𝑝0 pada distribusi peluang yang termasuk
ke
dalam
kelas
𝒃 𝜆
𝑞 1−𝑞 𝛽 (𝑟 − 1) 1+𝛽 0
(𝑚 + 1)
𝒑𝟎 𝑒 −𝜆 (1 − 𝑞)𝑚 (1 + 𝛽)−𝑟 (1 + 𝛽)−1
If 𝑝0 in probability distributions belong to the
(𝑎, 𝑏, 0)
(𝑎, 𝑏, 0) class has been modified, then its
dimodifikasi, maka distribusi peluang yang
probability distribution belong to the (𝑎, 𝑏, 1)
bersangkutan masuk ke dalam kelas distribusi
class.
(𝑎, 𝑏, 1). Definisi 2 Misalkan pk suatu fungsi
Definition 2 Let p_k be the probability mass
massa peluang dari peubah acak diskrit. Suatu
function of a discrete random variable.It is a
distribusi diskrit dikatakan termasuk dalam
member of he (a,b,1) class of distributions
kelas (a, b, 1) apabila terdapat konstanta a
provided that there exists constants a and b
dan b sedemikian sehingga,
such that, 𝒑𝒌 𝒃 =𝒂+ 𝒑𝒌−𝟏 𝒌
,
22
𝒌 = 𝟐, 𝟑, 𝟒, …
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Apabila untuk suatu distribusi peluang di
When the value of 𝑝0 in the (𝑎, 𝑏, 0)
kelas (𝑎, 𝑏, 0), nilai 𝑝0 dimodifikasi menjadi
class has been modified become certain
suatu nilai 𝑝0 > 0 yang ditentukan dari data
value 𝑝0 > 0 based on data (sample), the
(sampel) yang diperoleh, maka distribusi
probability distribution in the (𝑎, 𝑏, 1) class is
peluang di kelas (𝑎, 𝑏, 1) disebut distribusi
called the zero-modified distribution. If the
sampel
sample represented no observation at zero or
menunjukkan bahwa tidak ada observasi
𝑝0 = 0, then the probability distribution in the
bernilai nol atau 𝑝0 = 0, maka distribusi
(𝑎, 𝑏, 1) class is called the zero-truncated
peluang di kelas (𝑎, 𝑏, 1) disebut distribusi
distribution. The notation for zero-modified
𝒛𝒆𝒓𝒐 − 𝒕𝒓𝒖𝒏𝒄𝒂𝒕𝒆𝒅. Distribusi peluang
distribution will use 𝑝𝑘𝑀 and zero-truncated
𝑧𝑒𝑟𝑜 − 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑 diberi notasi 𝑝𝑘𝑀 dan
distribution will use 𝑝𝑘𝑇 . 𝑝𝑘𝑀 is related to 𝑝𝑘 as
distribusi peluang 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑 diberi
follows :
𝒛𝒆𝒓𝒐 − 𝒎𝒐𝒅𝒊𝒇𝒊𝒆𝒅.
Apabila
notasi 𝑝𝑘𝑇 . Hubungan antara 𝑝𝑘𝑀 dan 𝑝𝑘 adalah: 𝒑𝑴 𝒌 = 𝒄 𝒑𝒌 ,
dengan 𝒄 > 𝟎
dapat ditunjukkan bahwa
,
𝒌 = 𝟏, 𝟐, 𝟑, …
it can be shown that 𝒄=
𝟏 − 𝒑𝑴 𝟎 𝟏 − 𝒑𝟎
karena untuk distribusi 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑 nilai 𝑝0𝑀 = 0, maka
𝒑
𝒑𝑻𝒌 = 𝟏−𝒑𝒌
𝟎
since 𝑝0𝑀 = 0 for zero-truncated distribution, then
, for 𝒌 = 𝟏, 𝟐, 𝟑, … .
Anggota distribusi peluang diskrit untuk kelas
The
members
of
discrete
probability
(𝑎, 𝑏, 1) seperti tertera pada Tabel 2.
distribution belong to the (𝑎, 𝑏, 1) class are summarized in Table 2.
23
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Tabel 2 : Kelas Distribusi (𝑎, 𝑏, 1) Table 2 : The (𝑎, 𝑏, 1) class Distribution Parameter space 𝑝0 𝑎 𝑏 −𝜆 Poisson (𝜆) 0 𝜆 𝜆>0 𝑒 ZT Poisson 0 0 𝜆 𝜆>0 ZM Poisson 𝐴𝑟𝑏𝑖𝑡𝑟𝑎𝑟𝑦 0 𝜆 𝜆>0 𝑚 𝑞 𝑞 (1 − 𝑞) Binomial (𝑞, 𝑚) 0<𝑞<1 − (𝑚 + 1) 1−𝑞 1−𝑞 𝑞 𝑞 ZT Binomial 0 0<𝑞<1 − (𝑚 + 1) 1−𝑞 1−𝑞 𝑞 𝑞 ZM Binomial 𝐴𝑟𝑏𝑖𝑡𝑟𝑎𝑟𝑦 0<𝑞<1 − (𝑚 + 1) 1−𝑞 1−𝑞 𝛽 𝛽 (1 + 𝛽)−𝑟 Negative Binomial (𝛽, 𝑟) 𝑟 > 0, 𝛽 > 0 (𝑟 − 1) 1+𝛽 1+𝛽 𝛽 𝛽 ETNB 0 𝑟 > −1, 𝛽 > 0 (𝑟 − 1) 1+𝛽 1+𝛽 𝛽 𝛽 ZM ETNB 𝐴𝑟𝑏𝑖𝑡𝑟𝑎𝑟𝑦 𝑟 > −1, 𝛽 > 0 (𝑟 − 1) 1+𝛽 1+𝛽 −1 𝛽 (1 + 𝛽) Geometric (𝛽) 0 𝛽>0 1+𝛽 𝛽 ZT Geometric 0 0 𝛽>0 1+𝛽 𝛽 ZM Geometric 𝐴𝑟𝑏𝑖𝑡𝑟𝑎𝑟𝑦 0 𝛽>0 1+𝛽 𝛽 𝛽 Logarithmic 0 𝛽>0 − 1+𝛽 1+𝛽 𝛽 𝛽 ZM Logarithmic 𝐴𝑟𝑏𝑖𝑡𝑟𝑎𝑟𝑦 𝛽>0 − 1+𝛽 1+𝛽 ZT : Zero-Truncated; ZM : Zero-Modified; ETNB: Extended Truncated Negative Binomial Misalkan 𝑁 ∗ adalah peubah acak dengan
Let 𝑁 ∗ be a random variable with
peluang di titik nol sudah dimodifikasi; dengan kata
probability at zero has been modified; in other
lain, distribusi peluang 𝑁 ∗ termasuk ke dalam
words, the probability distribution of 𝑁 ∗
kelas (𝑎, 𝑏, 1). Maka untuk menentukan mean
belong to (𝑎, 𝑏, 1) class. To compute the
dan variansi dari 𝑁 ∗ , digunakan definisi
mean and variance of 𝑁 ∗ used definition of
𝑚𝑜𝑚𝑒𝑛 𝑘𝑒 − 𝑟 sebagai berikut:
the rth moment as follows:
∞
𝐸[(𝑁
∗ )𝑟 ]
=
∑ 𝑘 𝑟 𝑝𝑘𝑀 𝑘=0
∞
=
∞
∑ 𝑘 𝑟 𝑝𝑘𝑀 𝑘=1
24
= 𝑐 ∑ 𝑘 𝑟 𝑝𝑘 = 𝑐 𝐸(𝑁 𝑟 ) 𝑘=1
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Contoh
Example Suppose 𝑁 be a random variable denotes the
Misalkan 𝑁 adalah peubah acak yang menyatakan
frequency claim in insurance company XYZ.
frekuensi klaim di suatu perusahaan asuransi XYZ. Setelah
dilakukan
model
fitting,
Let 𝑁 ~ 𝐵𝑖𝑛𝑜𝑚𝑖𝑎𝑙 (0.3 ; 4) after model
diperoleh
fitting. The probability mass function of
𝑁 ~ 𝐵𝑖𝑛𝑜𝑚𝑖𝑎𝑙 (0,3 ; 4). Fungsi massa peluang
binomial distribution with parameters are 𝑞
suatu distribusi binomial dengan parameter q dan
and 𝑚 is
m adalah:
𝑚 𝑃𝑟(𝑁 = 𝑘) = 𝑝𝑘 = ( ) 𝑞 𝑘 (1 − 𝑞)𝑚−𝑘 , 𝑘 = 0,1, … , 𝑚 𝑘 Untuk q = 0,3 dan m = 4 diperoleh tabel peluang
For 𝑞 = 0.3 and 𝑚 = 4, the probability table of
untuk peubah acak N sebagai berikut:
a random variable 𝑁 is: 𝑘
𝑃𝑟(𝑁 = 𝑘)
0 1 2 3 4 Total
0,2401 0,4116 0,2646 0,0756 0,0081 1
Apabila dilakukan perhitungan untuk distribusi
The calculation of 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑
𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑 binomial; dan distribusi
binomial
𝑧𝑒𝑟𝑜 − 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑 binomial dengan 𝑝0𝑀 = 0,4
𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑 binomial distribution with 𝑝0𝑀 =
diperoleh tabel peluang berikut:
0.4 obtained in the following probability table:
𝑘
𝑃𝑟(𝑁 = 𝑘)
0 1 2 3 4 Sum
0.2401 0.4116 0.2646 0.0756 0.0081 1
distribution;
𝑍𝑒𝑟𝑜 − 𝑀𝑜𝑑𝑖𝑓𝑖𝑒𝑑, 𝑐 = 0.7896 0.4000 0.3250 0.2089 0.0597 0.0064 1
25
and
𝑧𝑒𝑟𝑜 −
𝑍𝑒𝑟𝑜 − 𝑇𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑, 𝑐 = 1.3160 0 0.5417 0.3482 0.0995 0.0107 1
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
BINOMIAL DISTRIBUTION (0.3 ; 4) 0,5
0,4116
Probability
0,4 0,3
0,2646
0,2401
0,2 0,0756
0,1
0,0081 0 0
1
2 N
3
4
ZERO-MODIFIED BINOMIAL (0.3 ; 4) Probability
0,5 0,4
0,4 0,325
0,3
0,2089
0,2 0,0597
0,1
0,0064
0 0
1
2 N
3
4
ZERO-TRUNCATED BINOMIAL (0.3 ; 4) 0,5417
Probability
0,6
0,3482
0,4 0,2 0
0,0995 0,0107
0 0
1
2
3
4
N
26
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Di bawah ini diberikan perhitungan mean
The calculation of mean and variance for
dan variansi dari masing-masing distribusi
each distributions below given for a random
peluang untuk peubah acak frekuensi 𝑁,
variable frequency 𝑁, its obtained:
diperoleh:
𝐸(𝑁) = 𝑚 ∗ 𝑞 = 4 ∗ 0,3 = 1,2. 𝑉𝑎𝑟(𝑁) = 𝑚 ∗ 𝑞 ∗ (1 − 𝑞) = 4 ∗ 0,3 ∗ 0,7 = 0,84. 𝐸(𝑁 2 ) = 𝑉𝑎𝑟(𝑁) + 𝐸(𝑁)2 = 0,84 + 1,22 = 2,28.
Mean
dari
distribusi
The mean of 𝑧𝑒𝑟𝑜 − 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑 binomial
𝑧𝑒𝑟𝑜 − 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑
binomial adalah:
distribution is: 𝑐 ∗ 𝐸(𝑁) = 0.7896 ∗ 1.2 = 0.94752.
Akibatnya, diperoleh variansi sebesar:
The second moment of 𝑧𝑒𝑟𝑜 − 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑑 binomial is:
1,800288 − 0.947522 = 0,902494. Mean
dari
distribusi
The mean of 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑 binomial is:
𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑
binomial adalah: 𝑐 ∗ 𝐸(𝑁) = 1,3160 ∗ 1,2 = 1,5792. Momen ke-2 dari distribusi 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑
The second moment of 𝑧𝑒𝑟𝑜 − 𝑡𝑟𝑢𝑛𝑐𝑎𝑡𝑒𝑑
binomial adalah:
binomial is: 𝑐 ∗ 𝐸(𝑁 2 ) = 1,3160 ∗ 2,28 = 3,00048.
Akibatnya, diperoleh variansi sebesar:
Thus, its variance is:
3,00048 − 1,57922 = 0,506607. Apabila dibandingkan, diperoleh mean dan
In comparison, the mean and variance for
variansi yang berbeda untuk masing-masing
each distributions are different and summarized in the following table:
27
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
distribusi peluang yang dirangkum pada tabel berikut:
𝐃𝐈𝐒𝐓𝐑𝐈𝐁𝐔𝐒𝐈
𝑴𝑬𝑨𝑵
VARIANSI
𝑩𝒊𝒏𝒐𝒎𝒊𝒂𝒍 (𝟎, 𝟑 ; 𝟒)
𝟏, 𝟐
𝟎, 𝟖𝟒
𝒁𝒆𝒓𝒐 − 𝑴𝒐𝒅𝒊𝒇𝒊𝒆𝒅 𝑩𝒊𝒏𝒐𝒎𝒊𝒂𝒍 (𝟎, 𝟑 ; 𝟒)
𝟎, 𝟗𝟒𝟕𝟓𝟐
𝟎, 𝟗𝟎𝟐𝟒𝟗𝟒
𝒁𝒆𝒓𝒐 − 𝑻𝒓𝒖𝒏𝒄𝒂𝒕𝒆𝒅 𝑩𝒊𝒏𝒐𝒎𝒊𝒂𝒍 (𝟎, 𝟑 ; 𝟒)
𝟏, 𝟓𝟕𝟗𝟐
𝟎, 𝟓𝟎𝟔𝟔𝟎𝟕
Referensi / Reffrence 1. Klugman, S.A., Panjer, H. H., and Wilmot, G. E. (2004). Loss Models : From Data to Decisions. Second edition. John Wiley and Sons Publication. 2. Tse, Y. (2009). Nonlife Actuarial Models Theory : Methods and Evaluation. United States of America : Cambridge University Press.
28
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Ulasan Asuransi / Insurance Commentary
Penetrasi Asuransi Gempabumi Indonesia
Peranan Industri Asuransi Melindungi Area Rawan Gempa
The penetration of Earthquake insurance in Indonesia
The Role of Insurance Industry in protecting the Earthquake Prone Areas Adverse selection adalah salah satu hal diduga
Adverse selection allegedly is one of the failure
dapat menyebabkan failure dalam industri
cause in catastrophe insurance industry.
asuransi bencana alam. Mengacu pada tingkat
Referring to the risk level of the earthquake in
risiko
Indonesia,
Indonesia, adverse selection policy is one thing
kebijakan adverse selection ini malah satu hal
that could be a boomerang for an insurance
yang dapat saja menjadi bumerang bagi suatu
company. It is (probably) still happen
perusahan asuransi. Hal ini (mungkin) masih
commonly due to the lack of understanding of
umum terjadi karena pemahaman atas risiko dan
the nature and risk of the earthquake event.
bencana
gempabumi
di
sifat natural dari kejadian gempabumi ini yang belum dipahami dengan baik. Kebijakan untuk tidak melakukan penutupan di
The policy to exclude certain provinces that
beberapa provinsi tertentu karena area tersebut
has just affected by earthquake was a
baru saja terdampak gempabumi adalah
misinterpretation. For example in Sumatera
pemahaman yang sedikit keliru. Sebut saja
Barat area especially the City of Padang due to
area Sumatera Barat terutama Kota Padang
significant earthquake in 2009. Overreacted
sebagai contoh kasus karena terdampak
respons of the insurance industry is to exclude it
gempa signifikan pada tahun 2009 yang lalu.
in their marketing targets, whereas risk of
Respon “kaget” industri asuransi adalah
Padang has the same risks to the other high zone
mengecualikan
area referring to the Indonesian earthquake
Padang
dalam
target
pemasaran mereka, padahal risiko Padang
zoning
tetaplah sama dibandingkan dengan area lain di zona tinggi sesuai dengan pembagian zona asuransi gempabumi Indonesia. Justru sebaliknya, industri asuransi bisa
On
the
contrary,
insurance
industry
dengan gencar dan efektif mengambil peran
aggresively and effectively took part in the
dalam manajemen risiko bencana dan
disaster risk management and promote the
melakukan promosi pentingnya asuransi
important part about insurance on the recovery
29
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
dalam tahapan recovery setelah bencana.
phase after disaster. Eventhough low class
Karena di lain sisi, walaupun stigma dan
society in general has negative stigma and
asumsi yang ada di masyarakat bawah
presumption about insurance, a little different for
mengenai asuransi secara umum adalah
the earthquake. From the statistical data of the
negatif, namun demikian untuk urusan
insurance in some areas after the earthquake,
gempabumi hal ini sedikit berbeda. Dari data
the demand for insurance coverage were
statistik penutupan asuransi di beberapa area
increases.
setelah gempa, permintaan untuk penutupan asuransi justru meningkat.
Gambar4. Peta Intensitas dan grafik peningkatan jumlah risiko (number of risk) penutupan asuransi untuk okupansi rumah tinggal di Provinsi Nanggroe Aceh Darusslam setelah kejadian Gempa Aceh 26 Desember 2004 Mw 9.25 (intensity map sources: http://www.earthquake.usgs.gov). Picture4. Intensity map and number of risk chart on increasing insurance write for residential occupacy in Nanggroe Aceh Darusslam Provincei after Aceh Earthquake 26 December 2004 Mw 9.25 (intensity map sources:: http://www.earthquake.usgs.gov).
30
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Gambar5. Peta Intensitas dan grafik peningkatan jumlah risiko (number of risk) penutupan asuransi untuk okupansi rumah tinggal di Provinsi Daerah Istimewa Yogyakarta setelah kejadian Gempa Yogya 27 Mei 2007 Mw 6.3 (sumber peta intensitas: http://www.earthquake.usgs.gov). Picture 5. Intensity map and number of risk chart on increasing insurance write for residential occupacy in Daeray Istimewa Yogyakarta Province after Yogya Earthquake 27 Mei 2007 Mw 6.3 (intensity map sources: http://www.earthquake.usgs.gov).
Gambar 6. Peta Intensitas dan grafik peningkatan jumlah risiko (number of risk) penutupan asuransi untuk okupansi rumah tinggal di Kota Bengkulu setelah kejadian Gempa Bengkulu 12 September 2007 Mw 8.5 (sumber peta intensitas: http://www.earthquake.usgs.gov). Picture 6. Intensity map and number of risk chart on increasing insurance write for residential occupacy in City of Bengkulu after Bengkulu Earthquake 12 September 2007 Mw 8.5 (intensity map sources: http://www.earthquake.usgs.gov).
31
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Gambar7. Peta Intensitas dan grafik peningkatan jumlah risiko (number of risk) penutupan asuransi untuk okupansi rumah tinggal di Kota Padang setelah kejadian Gempa Padang 30 September 2009 Mw 7.6 (sumber peta intensitas: http://www.earthquake.usgs.gov). Picture 7. Intensity map and number of risk chart on increasing insurance write for residential occupacy in City of Padang after Padang Earthquake 30 September 2009 Mw 7.6 (intensity map sources: http://www.earthquake.usgs.gov).
Gambar 8. Model sebaran abu vulkanik Gunung Kelud (WCPL-ITB) dan grafik peningkatan jumlah risiko (number of risk) penutupan asuransi untuk okupansi rumah tinggal di Kab. Semarang dan Kota Surabaya setelah kejadian Erupsi Kelud 13 Februari 2014. Picture 8.The Dispersion Modeling of Mount Kelud volcanic ash (WCPL-ITB) and number of risk chart on increasing insurance write for residential occupacy in Disctrict of Semarang and City of Surabaya after Kelud Eruption at 31 February 2014.
Kesimpulan sederhana dari paparan data di atas
The simple conclusion from the study above is
adalah bahwa peningkatan penetrasi asuransi
that the increase of penetration in earthquake
gempabumi bukanlah tanggung jawab satu
insurance is not only the responsibility of one
pihak saja. Bukan tanggung jawab pemerintah,
party. Not the government, society or insurance
masyarakat ataupun industri asuransi secara
industry itself, but collective responsibility of all
sendiri, melainkan tanggung jawab kolektif
stakeholders. Mari Ber(ikan)Asuransi.
32
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
semua pihak yang berkepentingan. Mari Ber(ikan)asuransi
33
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2015, per 31 Desember 2015
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
34
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2015
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
35
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Distribusi Exposure Gempa Bumi Indonesia per Provinsi, Underwriting Year 2015, per 31 Desember 2015 Distribusi Gempa Bumi Indonesia M > 5 dan Claim Incurred 2015
Diolah oleh MAIPARK dari data MAIPARK dan BMKG Process by MAIPARK form MAIPARK and BMKG data
36
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Cresta Zone As At 31/12/2015 Tab le 2.1
in IDR
Cresta Zone
U/Y 2011
(dalam format lama)
Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
BANDA ACEH
1.1
4,799,061,565,236.65
0.22
3,885,123,784,587.20
0.20
4,622,772,111,462.52
0.17
6,380,320,399,315.72
0.20
5,516,851,989,800.59
0.30
MEDAN
1.2
46,652,172,698,019.40
2.16
39,926,317,753,351.10
2.02
48,021,319,931,325.20
1.74
54,179,134,564,189.90
1.73
41,944,961,328,351.60
2.30
OTHERS
1.3
98,732,449,809,919.40
4.58
39,954,965,550,405.30
2.02
49,729,745,300,917.30
1.80
56,392,260,850,571.50
1.80
39,927,200,326,633.20
2.19
NORTH SUMATERA
1
150,183,684,073,175.00
6.97
83,766,407,088,343.60
4.25
102,373,837,343,705.00
3.71
116,951,715,814,077.00
3.74
87,389,013,644,785.40
4.79
PADANG
2.1
16,558,027,553,262.30
0.77
18,936,637,401,727.70
0.96
27,108,393,866,235.50
0.98
30,344,238,075,932.70
0.97
19,124,789,372,298.20
1.05
PALEMBANG
2.2
15,670,152,211,490.50
0.73
18,984,111,783,255.90
0.96
23,226,059,322,507.00
0.84
21,073,398,150,628.40
0.67
7,188,283,079,495.92
0.39
OTHERS
2.3
124,326,613,863,710.00
5.77
134,454,333,405,891.00
6.81
150,901,077,439,304.00
5.47
201,198,139,300,109.00
6.43
135,368,834,051,010.00
7.43
SOUTH SUMATERA
2
156,554,793,628,463.00
7.26
172,375,082,590,874.00
8.74
201,235,530,628,046.00
7.29
252,615,775,526,670.00
8.07
161,681,906,502,804.00
8.87
JAKARTA
3.1
464,788,039,293,112.00
21.56
399,879,551,278,611.00
20.27
434,983,119,085,188.00
15.77
653,346,863,576,657.00
20.88
400,590,833,910,105.00
21.98
BANDUNG
3.2
6,881,910,055,825.06
0.32
11,045,021,688,987.80
0.56
10,565,576,385,753.00
0.38
11,756,896,694,339.50
0.38
10,947,196,964,959.80
0.60
OTHERS
3.3
607,546,357,655,557.00
28.18
662,556,170,510,363.00
33.58
989,058,718,206,873.00
35.85
1,112,876,908,211,520.00
35.56
525,441,348,386,302.00
28.83
WEST JAVA
3
1,079,216,307,004,490.00
50.06
1,073,480,743,477,960.00
54.41
1,434,607,413,677,810.00
52.00
1,777,980,668,482,510.00
56.81
936,979,379,261,366.00
51.41
SEMARANG
4.1
6,547,169,388,280.43
0.30
7,128,540,426,300.66
0.36
8,896,839,847,452.73
0.32
8,717,813,368,498.40
0.28
7,044,667,140,401.29
0.39
YOGYAKARTA
4.2
10,227,924,407,900.00
0.47
9,213,654,452,599.54
0.47
8,572,002,953,780.61
0.31
14,139,914,312,838.60
0.45
9,975,334,947,810.32
0.55
OTHERS
4.3
116,804,919,938,213.00
5.42
102,691,869,441,901.00
5.20
136,782,391,322,905.00
4.96
148,208,865,760,931.00
4.74
138,817,651,968,483.00
7.62
CENTRAL JAVA
4
133,580,013,734,394.00
6.20
119,034,064,320,801.00
6.03
154,251,234,124,138.00
5.59
171,066,593,442,268.00
5.47
155,837,654,056,695.00
8.55
SURABAYA
5.1
87,137,349,483,550.50
4.04
51,268,013,090,249.70
2.60
134,255,180,232,704.00
4.87
79,851,345,390,068.60
2.55
41,969,003,156,141.30
2.30
OTHERS
5.2
300,804,196,856,445.00
13.95
241,910,275,276,202.00
12.26
233,222,722,561,370.00
8.45
362,281,080,948,439.00
11.58
163,684,164,646,154.00
8.98
EAST JAVA
5
387,941,546,339,995.00
17.99
293,178,288,366,452.00
14.86
367,477,902,794,074.00
13.32
442,132,426,338,508.00
14.13
205,653,167,802,295.00
11.28
KALIMANTAN
6
123,120,604,752,261.00
5.71
101,466,311,177,791.00
5.14
128,309,277,947,271.00
4.65
133,726,946,218,284.00
4.27
61,404,909,613,496.10
3.37
UJUNG PANDANG
7.1
10,441,385,729,218.00
0.48
10,440,854,149,882.30
0.53
14,119,462,393,835.50
0.51
22,935,399,232,639.40
0.73
12,520,340,468,003.40
0.69
OTHERS
7.2
59,644,593,333,905.30
2.77
53,982,731,254,031.10
2.74
39,197,500,637,787.70
1.42
113,013,262,727,792.00
3.61
120,565,916,380,878.00
6.61
SULAWESI
7
70,085,979,063,123.30
3.25
64,423,585,403,913.30
3.27
53,316,963,031,623.20
1.93
135,948,661,960,431.00
4.34
133,086,256,848,881.00
7.30
OTHER ISLANDS
8
55,304,797,043,097.90
2.57
65,375,069,733,110.70
3.31
317,037,173,615,059.00
11.49
99,207,920,834,408.20
3.17
80,690,119,520,703.30
4.43
2,155,987,725,639,000.00
100.00
1,973,099,552,159,250.00
100.00
2,758,609,333,161,730.00
100.00
3,129,630,708,617,160.00
100.00
1,822,722,407,251,030.00
100.00
T OT AL
37
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Cresta Zone As at 31 Dec 2015 (In Billion IDR)
North Sumatera 160,000,000.00
140,000,000.00 120,000,000.00
500,000,000.00
250,000,000.00
400,000,000.00
100,000,000.00
200,000,000.00
80,000,000.00
150,000,000.00
60,000,000.00
East Java
South Sumatera 300,000,000.00
40,000,000.00 -
1,000,000,000.00 500,000,000.00 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
60,000,000.00 40,000,000.00 20,000,000.00 -
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
DIY & Central Java 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 -
1,500,000,000.00
80,000,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
DKI & West Java 2,000,000,000.00
100,000,000.00
100,000,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
120,000,000.00
200,000,000.00
50,000,000.00
20,000,000.00
140,000,000.00
300,000,000.00
100,000,000.00
Sulawesi 160,000,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Other Islands
Kalimantan 350,000,000.00
160,000,000.00 140,000,000.00
300,000,000.00
120,000,000.00
250,000,000.00
100,000,000.00
200,000,000.00
80,000,000.00
150,000,000.00
60,000,000.00
40,000,000.00
100,000,000.00
20,000,000.00
50,000,000.00
-
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
38
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Occupation As At 31/12/2015 in IDR
Tab le 2.2
U/Y 2011
Occupation
Amount AGRICULTURAL
A
COMMERCIAL
C
INDUSTRIAL
I
RESIDENTIAL
R
T OT AL
U/Y 2012 %
20,170,306,793,199.60
0.94
Amount
U/Y 2013 %
Amount
23,543,592,772,030.10
1.19
U/Y 2014 %
25,959,872,979,597.60
0.94
Amount
U/Y 2015 %
21,898,886,369,542.20
0.70
Amount
%
12,512,729,996,654.10
0.69
543,582,320,342,770.00
25.21
458,107,980,168,757.00
23.22
997,234,471,222,148.00
36.15
710,158,904,387,901.00
22.69
556,189,178,570,538.00
30.51
1,359,750,954,334,130.00
63.07
1,261,037,740,470,740.00
63.91
1,418,650,385,842,790.00
51.43
1,998,234,633,069,720.00
63.85
1,017,700,443,050,060.00
55.83
232,484,144,168,908.00
10.78
230,410,238,747,720.00
11.68
316,764,603,117,193.00
11.48
399,338,284,789,999.00
12.76
236,320,055,633,775.00
12.97
2,155,987,725,639,000.00
100.00
1,973,099,552,159,250.00
100.00
2,758,609,333,161,730.00
100.00
3,129,630,708,617,160.00
100.00
1,822,722,407,251,030.00
100.00
39
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Occupation As at 31 Dec 2015 ( In Billion IDR )
Agricultural
Industrial
30000000
2.5E+09
25000000
2E+09
20000000 1.5E+09 15000000 1E+09
10000000
500000000
5000000
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
Commercial
UY 2012
UY 2013
UY 2014
UY 2015
Residential
1.2E+09
450000000 400000000
1E+09
350000000
800000000
300000000 250000000
600000000
200000000
400000000
150000000 100000000
200000000
50000000
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
40
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Interest As At 31/12/2015 Table 2.3
Interest
In IDR
U/Y 2011 Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
Building
964,636,938,461,406.00
44.74
803,366,230,827,750.00
40.72
1,047,976,449,936,970.00
37.99
1,309,788,135,616,960.00
41.85
747,992,807,686,287.00
41.04
Machinery
431,855,434,206,554.00
20.03
395,795,235,003,101.00
20.06
452,038,590,570,183.00
16.39
612,743,245,522,478.00
19.58
405,536,996,330,365.00
22.25
Others
253,362,856,163,071.00
11.75
309,385,767,345,939.00
15.68
473,865,700,970,931.00
17.18
356,581,166,164,815.00
11.39
263,341,168,696,044.00
14.45
Stock
284,263,173,188,283.00
13.18
280,925,942,837,511.00
14.24
338,385,871,353,396.00
12.27
554,041,822,020,660.00
17.70
249,219,235,711,724.00
13.67
Bussiness Interruption
221,869,323,619,690.00
10.29
183,626,376,144,946.00
9.31
446,342,720,330,248.00
16.18
296,476,339,292,249.00
9.47
156,632,198,826,607.00
8.59
2,155,987,725,639,000.00
100.00
1,973,099,552,159,250.00
100.00
2,758,609,333,161,730.00
100.00
3,129,630,708,617,160.00
100.00
1,822,722,407,251,030.00
100.00
T OT AL
41
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Interest As at 31 Dec 2015 ( In Billion IDR )
Building 1,400,000,000.00
Stock 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 -
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 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Machinery
Others
700,000,000.00
600,000,000.00
600,000,000.00
500,000,000.00
500,000,000.00
Business Interruption
400,000,000.00
400,000,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
300,000,000.00
300,000,000.00
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 -
200,000,000.00
200,000,000.00
100,000,000.00
100,000,000.00 -
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
42
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Province As At 31/12/2015 Table 2.4 In IDR Province
Cresta ID
U/Y 2011 Amount
U/Y 2012 %
U/Y 2013
Amount
%
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
01. NAD
IDN_AC
61,716,398,867,310.90
2.86
8,328,045,104,607.12
0.42
9,104,272,583,077.73
0.33
10,684,341,331,546.00
0.34
8,905,514,794,404.82
0.49
02. SUMATERA UTARA
IDN_SU
88,467,285,205,864.50
4.10
75,438,361,983,736.50
3.82
93,269,564,760,627.30
3.38
106,267,374,482,531.00
3.40
78,483,498,850,380.50
4.31
03. SUMATERA BARAT
IDN_SB
23,704,691,539,292.50
1.10
26,978,901,320,936.40
1.37
37,276,017,607,460.00
1.35
41,916,011,152,098.40
1.34
24,852,013,242,555.20
1.36
04. RIAU
IDN_RI
35,064,056,469,754.20
1.63
33,317,084,131,243.90
1.69
48,622,759,873,559.80
1.76
59,966,524,756,498.00
1.92
37,004,018,229,151.90
2.03
05. JAMBI
IDN_JA
8,231,659,638,051.55
0.38
10,930,184,488,529.80
0.55
11,015,468,275,121.30
0.40
12,121,835,907,101.70
0.39
6,686,715,402,019.63
0.37
06. SUMATERA SELATAN
IDN_SS
30,750,924,977,797.60
1.43
40,890,422,710,547.40
2.07
40,737,476,120,486.60
1.48
49,688,971,444,573.40
1.59
30,772,349,557,865.50
1.69
07. BENGKULU
IDN_BE
4,060,325,847,435.66
0.19
4,448,893,617,580.84
0.23
4,886,314,512,451.64
0.18
5,711,519,636,239.46
0.18
3,262,742,416,805.81
0.18
08. LAMPUNG
IDN_LA
27,534,812,464,501.00
1.28
28,315,157,587,973.60
1.44
26,866,384,742,224.30
0.97
39,579,836,435,191.50
1.26
28,041,795,014,093.90
1.54
09. KEP BANGKA-BELITUNG
IDN_BB
3,156,384,885,166.98
0.15
3,776,611,255,319.56
0.19
4,542,296,379,914.47
0.16
6,140,119,356,209.51
0.20
2,232,890,274,810.80
0.12
10. KEPULAUAN RIAU
IDN_KR
24,051,937,806,463.70
1.12
23,717,827,478,743.10
1.20
27,288,813,116,828.10
0.99
37,490,956,838,758.30
1.20
28,829,382,365,500.90
1.58
11. JAKARTA
IDN_JK
464,788,039,293,112.00
21.56
399,879,551,278,611.00
20.27
434,983,119,085,188.00
15.77
653,346,863,576,657.00
20.88
400,590,833,910,105.00
21.98
12. JAWA BARAT
IDN_JB
400,857,876,017,649.00
18.59
456,357,516,469,821.00
23.13
716,853,788,463,717.00
25.99
779,286,592,167,840.00
24.90
375,346,266,320,336.00
20.59
13. JAWA TENGAH
IDN_JT
121,725,177,084,954.00
5.65
107,551,714,874,341.00
5.45
142,741,347,599,224.00
5.17
151,658,220,515,281.00
4.85
142,586,981,118,763.00
7.82
14. DIY
IDN_YO
11,854,836,649,440.00
0.55
11,482,349,446,460.70
0.58
11,509,886,524,914.70
0.42
19,408,372,926,987.00
0.62
13,250,672,937,931.40
0.73
15. JAWA TIMUR
IDN_JI
387,941,546,339,995.00
17.99
293,178,288,366,452.00
14.86
367,477,902,794,074.00
13.32
442,132,426,338,508.00
14.13
205,653,167,802,295.00
11.28
16. BANTEN
IDN_BT
213,570,391,693,733.00
9.91
217,243,675,729,530.00
11.01
282,770,506,128,910.00
10.25
345,347,212,738,017.00
11.03
161,042,279,030,925.00
8.84
17. BALI
IDN_BA
43,280,980,532,299.20
2.01
50,159,299,948,333.30
2.54
301,760,633,873,829.00
10.94
73,416,767,191,302.00
2.35
62,059,574,927,091.90
3.40
18. NUSA TENGGARA BARAT IDN_NB
3,077,047,054,149.34
0.14
3,854,780,235,500.33
0.20
4,537,320,637,473.73
0.16
11,171,931,612,954.10
0.36
6,037,186,988,720.98
0.33
19. NUSA TENGGARA TIMUR
IDN_NT
1,617,483,032,767.29
0.08
2,139,957,825,720.15
0.11
1,782,340,075,512.98
0.06
2,577,499,186,907.01
0.08
2,377,643,731,501.45
0.13
20. KALIMANTAN BARAT
IDN_KB
7,209,974,391,744.74
0.33
6,322,259,558,617.00
0.32
8,027,257,135,438.02
0.29
13,246,042,292,778.20
0.42
3,018,581,562,548.95
0.17
21. KALIMANTAN TENGAH
IDN_KT
12,214,732,033,229.00
0.57
11,799,358,892,551.60
0.60
17,179,626,505,757.70
0.62
23,807,557,979,534.80
0.76
6,387,898,593,982.85
0.35
22. KALIMANTAN SELATAN
IDN_KS
28,151,320,447,496.90
1.31
14,657,547,575,615.70
0.74
37,160,737,599,470.90
1.35
32,817,881,685,114.40
1.05
16,685,324,501,539.90
0.92
23. KALIMANTAN TIMUR
IDN_KI
75,544,577,879,790.50
3.50
68,687,145,151,006.50
3.48
65,941,656,706,604.60
2.39
63,855,464,260,856.80
2.04
34,668,353,287,897.00
1.90
24. SULAWESI UTARA
IDN_SA
20,475,241,127,098.30
0.95
11,236,279,514,549.50
0.57
16,538,329,588,746.10
0.60
15,918,780,751,070.50
0.51
11,869,292,799,006.40
0.65
25. SULAWESI TENGAH
IDN_ST
2,234,831,075,451.70
0.10
2,137,386,276,386.25
0.11
4,208,592,384,307.53
0.15
3,853,936,451,909.42
0.12
7,134,622,656,599.68
0.39
26. SULAWESI SELATAN
IDN_SN
24,508,942,520,664.60
1.14
26,801,926,792,795.70
1.36
27,614,973,309,509.10
1.00
92,308,103,223,049.40
2.95
94,126,203,200,600.60
5.16
27. SULAWESI TENGGARA
IDN_SG
9,114,245,475,615.48
0.42
9,055,150,591,377.57
0.46
1,532,875,623,593.63
0.06
18,106,049,595,429.50
0.58
15,862,458,752,180.40
0.87
28. GORONTALO
IDN_GO
12,799,702,686,629.60
0.59
14,073,410,601,299.70
0.71
2,135,292,082,312.58
0.08
2,734,228,969,925.40
0.09
1,002,391,056,259.39
0.05
29. SULAWESI BARAT
IDN_SR
953,016,177,663.56
0.04
1,119,431,627,504.72
0.06
1,286,900,043,154.22
0.05
3,027,562,969,047.09
0.10
3,091,288,384,234.59
0.17
30. MALUKU
IDN_MA
1,012,162,473,294.66
0.05
1,326,848,149,671.43
0.07
1,871,357,567,995.64
0.07
2,499,735,342,360.51
0.08
2,388,888,853,481.87
0.13
31. MALUKU UTARA
IDN_MU
599,594,466,006.82
0.03
802,069,815,352.22
0.04
565,878,427,258.84
0.02
1,026,211,576,283.50
0.03
1,087,390,465,698.46
0.06
32. PAPUA BARAT
IDN_PB
2,191,055,888,141.29
0.10
3,445,075,692,356.94
0.17
2,612,323,243,092.17
0.09
2,898,313,012,537.56
0.09
2,634,733,781,755.25
0.14
33. PAPUA
IDN_PA
3,526,473,596,439.34
0.16
3,647,038,066,176.26
0.18
3,907,319,789,896.27
0.14
5,617,462,912,063.56
0.18
4,104,700,772,453.39
0.23
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
644,751,667,527.45
0.04
2,155,987,725,639,000.00
100.00
1,973,099,552,159,250.00
100.00
2,758,609,333,161,730.00
100.00
3,129,630,708,617,160.00
100.00
1,822,722,407,251,030.00
100.00
T OT AL
43
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Class Construction As At 31/12/2015 Table 2.5
Class Construction
In IDR
U/Y 2011 Amount
Com: Steel, Wood, RC≤9 sCom: toreys Steel, Wood, RC> 9 sCom: toreys Others DW: Steel, Wood, RC up to 3 sDW: toreys Others T OT AL
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
1,858,059,120,137,000.00
86.18
1,738,627,820,027,860.00
88.12
2,542,187,717,911,810.00
92.15
2,805,977,495,037,570.00
89.66
1,602,205,998,376,660.00
264,191,573,915,759.00
12.25
194,566,317,263,428.00
9.86
176,216,578,520,602.00
6.39
266,993,405,173,474.00
8.53
179,870,408,425,736.00
9.87
947,295,810,660.85
0.04
5,130,184,640,992.94
0.26
4,717,455,319,853.24
0.17
1,468,042,485,416.91
0.05
-2,702,407,810,230.05
-0.15
32,716,734,713,398.10
1.52
34,704,186,585,887.70
1.76
35,448,301,280,080.50
1.29
55,077,562,276,650.60
1.76
43,322,397,007,948.60
2.38
73,001,062,189.00
0.003
71,043,641,075.00
0.00
39,280,129,388.00
0.00
114,203,644,055.00
0.00
26,011,250,910.00
0.00
2,155,987,725,639,000.00
100.00
1,973,099,552,159,250.00
100.00
2,758,609,333,161,730.00
100.00
3,129,630,708,617,160.00
100.00
1,822,722,407,251,030.00
100.00
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
44
87.90
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Aggregate Exposure By Class Construction As at 31 Dec 2015 (in Billion IDR)
Com: Steel, Wood, RC≤ 9 storeys 3,000,000,000.00
Com: Others 6,000,000.00 5,000,000.00
2,500,000,000.00
4,000,000.00
3,000,000.00
2,000,000,000.00
2,000,000.00
1,500,000,000.00
1,000,000.00 -
1,000,000,000.00
(1,000,000.00)
500,000,000.00
UY 2011
UY 2012
UY 2013
UY 2014
120,000.00
(2,000,000.00)
100,000.00
(3,000,000.00)
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
(4,000,000.00)
Com: Steel, Wood, RC> 9 storeys
DW: Others
UY 2015
80,000.00 60,000.00
DW: Steel, Wood, RC up to 3 storeys
300,000,000.00
60,000,000.00
40,000.00
250,000,000.00
50,000,000.00
20,000.00
200,000,000.00
40,000,000.00
150,000,000.00
30,000,000.00
100,000,000.00
20,000,000.00
50,000,000.00
10,000,000.00
UY 2011
-
UY 2012
UY 2013
UY 2014
UY 2015
-
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011
UY 2012
45
UY 2013
UY 2014
UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Cresta Zone As At 31/12/2015 Tab le 3.1
in IDR
Cresta Zone
U/Y 2011
(dalam format lama)
Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
BANDA ACEH
1.1
7,616,473,677.40
0.27
7,353,733,470.29
0.27
8,780,371,316.98
0.19
12,995,081,088.46
0.26
10,564,090,021.28
0.40
MEDAN
1.2
54,849,290,878.55
1.94
49,823,429,099.22
1.83
65,225,046,946.91
1.44
76,207,400,590.46
1.52
61,564,400,728.66
2.34
OTHERS
1.3
132,329,486,203.50
4.69
52,403,581,223.16
1.93
76,054,243,381.62
1.68
91,589,350,146.51
1.83
66,163,059,255.81
2.51
NORTH SUMATERA
1
194,795,250,759.45
6.90
109,580,743,792.67
4.03
150,059,661,645.51
3.31
180,791,831,825.43
3.61
138,291,550,005.75
5.25
PADANG
2.1
30,869,624,074.28
1.09
35,748,398,735.55
1.31
52,284,018,726.18
1.15
58,666,890,741.35
1.17
36,542,899,530.75
1.39
PALEMBANG
2.2
14,648,819,921.46
0.52
17,769,518,269.29
0.65
24,539,765,502.34
0.54
22,757,855,567.55
0.45
7,580,936,916.02
0.29
OTHERS
2.3
138,546,777,880.38
4.91
156,175,313,138.85
5.74
195,024,370,402.77
4.30
265,615,576,858.19
5.31
181,363,847,654.70
6.88
SOUTH SUMATERA
2
184,065,221,876.12
6.52
209,693,230,143.69
7.71
271,848,154,631.29
6.00
347,040,323,167.09
6.93
225,487,684,101.47
8.56
JAKARTA
3.1
670,417,956,234.69
23.75
599,721,638,263.18
22.05
701,096,622,582.21
15.48
1,087,658,403,638.51
21.73
619,324,045,433.54
23.51
BANDUNG
3.2
10,069,205,917.11
0.36
16,554,802,345.44
0.61
16,522,055,418.67
0.36
18,976,382,860.98
0.38
17,847,314,134.22
0.68
OTHERS
3.3
837,118,673,264.09
29.65
967,715,936,592.74
35.58
1,696,236,956,243.95
37.44
1,975,113,030,396.92
39.47
800,190,254,092.11
30.37
WEST JAVA
3
1,517,605,835,415.89
53.75
1,583,992,377,201.36
58.24
2,413,855,634,244.83
53.28
3,081,747,816,896.41
61.58
1,437,361,613,659.87
54.55
SEMARANG
4.1
7,986,696,304.55
0.28
8,884,617,313.31
0.33
11,846,771,139.16
0.26
12,310,148,889.22
0.25
8,937,587,998.21
0.34
YOGYAKARTA
4.2
15,336,936,026.90
0.54
14,027,570,399.90
0.52
13,357,450,597.89
0.29
21,774,445,837.92
0.44
14,920,043,128.38
0.57
OTHERS
4.3
146,322,144,818.04
5.18
128,668,121,640.91
4.73
186,297,205,222.13
4.11
209,765,350,236.20
4.19
183,155,966,851.37
6.95
CENTRAL JAVA
4
169,645,777,149.49
6.01
151,580,309,354.12
5.57
211,501,426,959.18
4.67
243,849,944,963.34
4.87
207,013,597,977.96
7.86
SURABAYA
5.1
110,500,306,327.69
3.91
65,668,068,636.45
2.41
220,175,599,260.80
4.86
111,601,144,990.16
2.23
51,602,830,871.62
1.96
OTHERS
5.2
360,772,475,625.37
12.78
314,027,084,980.74
11.55
342,531,106,458.03
7.56
528,337,701,144.72
10.56
198,110,243,193.61
7.52
EAST JAVA
5
471,272,781,953.06
16.69
379,695,153,617.19
13.96
562,706,705,718.83
12.42
639,938,846,134.88
12.79
249,713,074,065.23
9.48
KALIMANTAN
6
103,644,783,974.23
3.67
93,902,425,158.81
3.45
133,742,522,561.26
2.95
137,756,004,917.57
2.75
58,013,933,042.66
2.20
UJUNG PANDANG
7.1
9,478,927,946.13
0.34
9,994,887,306.13
0.37
14,247,891,005.40
0.31
26,245,803,418.06
0.52
11,691,544,600.59
0.44
OTHERS
7.2
93,690,275,855.82
3.32
82,745,164,276.72
3.04
63,785,666,401.65
1.41
180,816,145,160.67
3.61
178,384,787,698.57
6.77
SULAWESI
7
103,169,203,801.95
3.65
92,740,051,582.85
3.41
78,033,557,407.05
1.72
207,061,948,578.73
4.14
190,076,332,299.16
7.21
OTHER ISLANDS
8
79,157,345,116.55
2.80
98,425,557,540.66
3.62
708,554,485,188.98
15.64
166,333,019,400.85
3.32
128,893,428,905.86
4.89
2,823,356,200,046.74
100.00
2,719,609,848,391.35
100.00
4,530,302,148,356.93
100.00
5,004,519,735,884.30
100.00
2,634,851,214,057.96
100.00
T OT AL
46
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Cresta Zone As at 31 Dec 2015 (in Billion IDR)
North Sumatera 250000
South Sumatera 400000
200000
300000
150000
200000
100000 50000
100000
0
0 UY 2011UY 2012UY 2013UY 2014UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
East Java 700000 600000 500000 400000 300000 200000 100000 0
West Java 3500000 3000000 2500000 2000000 1500000 1000000 500000 0
300000
250000 200000
150000 100000
50000 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Kalimantan 150000
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Other Islands 800000
200000
600000
150000
400000
100000
50000
200000
50000 0
UY 2011UY 2012UY 2013UY 2014UY 2015
0
Sulawesi 250000
100000
Central Java
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
47
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Occupation As At 31/12/2015 in IDR
Tab le 3.2
U/Y 2011
Occupation
Amount
U/Y 2013
U/Y 2012 %
Amount
%
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
AGRICULTURAL
A
23,897,315,368.61
0.85
29,419,229,652.86
1.08
35,250,816,165.82
0.78
27,772,331,433.35
0.55
15,344,912,446.26
0.58
COMMERCIAL
C
758,198,676,977.93
26.85
657,724,459,784.09
24.18
1,812,094,729,943.74
40.00
1,084,871,598,240.14
21.68
821,489,763,195.80
31.18
INDUSTRIAL
I
1,698,851,218,876.43
60.17
1,685,920,054,092.97
61.99
2,209,696,178,360.79
48.78
3,251,978,319,802.40
64.98
1,440,561,414,805.61
54.67
RESIDENTIAL T OT AL
R
342,408,988,823.76
12.13
346,546,104,861.43
12.74
473,260,423,886.57
10.45
639,897,486,408.40
12.79
357,455,123,610.31
13.57
2,823,356,200,046.73
100.00
2,719,609,848,391.35
100.00
4,530,302,148,356.92
100.00
5,004,519,735,884.29
100.00
2,634,851,214,057.98
100.00
48
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Occupation As at 31 Dec 2015 ( In Billion IDR )
Agricultural
Industrial
40000
3500000
35000
3000000
30000
2500000
25000 2000000
20000
1500000
15000 10000
1000000
5000
500000
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
Commercial
UY 2012
UY 2013
UY 2014
UY 2015
UY 2014
UY 2015
Residential
2000000
700000
1800000
600000
1600000 1400000
500000
1200000
400000 2010
1000000
300000
800000
2010
600000
200000
400000
100000
200000 0
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
49
UY 2012
UY 2013
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Interest As At 31/12/2015 in IDR
Table 3.3
Occupation
U/Y 2011 Amount
Building Machinery Others Stock Bussiness Interruption T OT AL
U/Y 2013
U/Y 2012 %
Amount
%
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
1,295,117,991,211.11
45.87
1,108,708,802,958.85
40.77
1,632,053,513,910.09
36.03
2,070,380,266,992.29
41.37
1,100,041,681,992.61
41.75
560,722,055,900.04
19.86
540,269,471,359.22
19.87
694,709,297,642.89
15.33
966,155,697,888.76
19.31
582,333,725,440.63
22.10
324,860,640,920.11
11.51
452,576,322,234.59
16.64
789,469,324,885.96
17.43
568,448,009,230.53
11.36
378,926,682,444.17
14.38
367,123,685,812.90
13.00
376,995,238,769.60
13.86
510,983,066,167.95
11.28
913,996,189,203.29
18.26
345,688,323,763.26
13.12
275,531,826,202.57
9.76
241,060,013,069.09
8.86
903,086,945,750.02
19.93
485,539,572,569.41
9.70
227,860,800,417.30
8.65
2,823,356,200,046.73
100.00
2,719,609,848,391.35
100.00
4,530,302,148,356.91
100.00
5,004,519,735,884.28
100.00
2,634,851,214,057.97
100.00
50
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Interest As at 31 Dec 2015 ( In Billion IDR )
Building
Stock
2,500,000.00
900,000.00 800,000.00
2,000,000.00
700,000.00 600,000.00
1,500,000.00
500,000.00
400,000.00
1,000,000.00
300,000.00 200,000.00
500,000.00
100,000.00 -
Business Interruption
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
Machinery
UY 2012
UY 2013
UY 2014
UY 2015
Others
1,200,000.00
1,000,000.00 900,000.00 800,000.00 700,000.00 600,000.00 500,000.00 400,000.00 300,000.00 200,000.00 100,000.00 -
1,000,000.00 800,000.00 600,000.00 400,000.00 200,000.00 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
1,000,000.00 900,000.00 800,000.00 700,000.00 600,000.00 500,000.00 400,000.00 300,000.00 200,000.00 100,000.00 UY 2011
UY 2011
UY 2012
51
UY 2013
UY 2014
UY 2012
UY 2013
UY 2014
UY 2015
UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Province As At 31/12/2015 Table 3.4 In IDR Province
Cresta ID
U/Y 2011 Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
01. NAD
IDN_AC
87,633,935,480.81
3.10
12,523,921,214.65
0.46
16,231,025,129.86
0.36
20,935,060,517.78
0.42
17,016,016,687.95
0.65
02. SUMATERA UTARA
IDN_SU
107,161,315,278.64
3.80
97,056,822,578.02
3.57
133,828,636,515.65
2.95
159,856,771,307.65
3.19
121,275,533,317.79
4.60
03. SUMATERA BARAT
IDN_SB
41,473,602,473.02
1.47
48,518,954,062.83
1.78
71,141,978,233.12
1.57
80,721,677,801.59
1.61
47,439,853,805.82
1.80
04. RIAU
IDN_RI
35,256,215,244.00
1.25
35,296,937,565.14
1.30
56,979,055,841.98
1.26
69,841,953,895.14
1.40
48,507,775,311.74
1.84
05. JAMBI
IDN_JA
8,038,465,820.08
0.28
10,843,210,998.52
0.40
12,481,421,219.16
0.28
14,012,153,478.39
0.28
7,502,995,161.28
0.28
06. SUMATERA SELATAN
IDN_SS
31,570,394,331.29
1.12
42,649,966,420.04
1.57
47,953,304,315.00
1.06
62,628,115,452.01
1.25
41,348,321,814.57
1.57
07. BENGKULU
IDN_BE
7,255,605,295.58
0.26
8,286,023,146.95
0.30
9,875,991,692.67
0.22
11,671,067,500.98
0.23
6,074,673,389.43
0.23
08. LAMPUNG
IDN_LA
37,249,898,677.14
1.32
40,021,662,431.05
1.47
41,038,967,480.96
0.91
61,831,112,764.61
1.24
43,015,395,386.76
1.63
09. KEP BANGKA-BELITUNG
IDN_BB
2,757,422,298.01
0.10
3,403,314,549.65
0.13
4,414,703,469.30
0.10
6,014,740,169.46
0.12
1,963,981,146.85
0.07
10. KEPULAUAN RIAU
IDN_KR
20,463,617,737.01
0.72
20,673,160,969.51
0.76
27,962,732,379.10
0.62
40,319,502,104.92
0.81
29,634,688,085.02
1.12
11. JAKARTA
IDN_JK
670,417,956,234.69
23.75
599,721,638,263.18
22.05
701,096,622,582.21
15.48
1,087,658,403,638.51
21.73
619,324,045,433.54
23.51
12. JAWA BARAT
IDN_JB
549,545,427,071.44
19.46
665,730,866,315.09
24.48
1,231,532,142,152.88
27.18
1,382,231,565,258.96
27.62
562,797,055,687.53
21.36
13. JAWA TENGAH
IDN_JT
151,888,826,113.28
5.38
134,145,041,227.80
4.93
193,647,699,073.31
4.27
213,458,551,026.71
4.27
187,071,621,920.57
7.10
14. DIY
IDN_YO
17,756,951,036.21
0.63
17,435,268,126.32
0.64
17,853,727,885.88
0.39
30,391,393,936.62
0.61
19,941,976,057.40
0.76
15. JAWA TIMUR
IDN_JI
471,272,781,953.06
16.69
379,695,153,617.19
13.96
562,706,705,718.83
12.42
639,938,846,134.88
12.79
249,713,074,065.23
9.48
16. BANTEN
IDN_BT
297,642,452,109.76
10.54
318,539,872,623.08
11.71
481,226,869,509.74
10.62
611,857,847,998.94
12.23
255,240,512,538.80
9.69
17. BALI
IDN_BA
60,354,817,500.68
2.14
73,043,338,870.19
2.69
681,050,872,022.28
15.03
119,258,097,198.05
2.38
96,360,465,947.42
3.66
18. NUSA TENGGARA IDN_NB BARAT 19. NUSA TENGGARA TIMUR IDN_NT
5,152,954,498.64
0.18
7,135,196,375.48
0.26
8,853,742,003.67
0.20
21,092,698,850.38
0.42
11,094,570,509.22
0.42
2,433,951,389.85
0.09
3,302,437,014.52
0.12
2,880,547,559.24
0.06
4,322,361,499.67
0.09
3,841,249,091.36
0.15
20. KALIMANTAN BARAT
IDN_KB
6,292,796,630.20
0.22
5,638,300,533.46
0.21
7,809,850,318.88
0.17
13,104,646,280.89
0.26
2,652,214,336.44
0.10
21. KALIMANTAN TENGAH
IDN_KT
10,262,245,474.31
0.36
10,685,121,241.15
0.39
17,820,732,332.84
0.39
24,693,404,208.47
0.49
5,539,096,657.81
0.21
22. KALIMANTAN SELATAN
IDN_KS
23,762,331,278.15
0.84
13,361,223,492.20
0.49
37,546,142,813.02
0.83
32,609,239,722.68
0.65
15,610,590,086.62
0.59
23. KALIMANTAN TIMUR
IDN_KI
63,327,410,591.57
2.24
64,217,779,892.00
2.36
70,565,797,096.52
1.56
67,348,714,705.53
1.35
33,649,815,948.21
1.28
24. SULAWESI UTARA
IDN_SA
37,726,468,368.21
1.34
21,121,736,576.79
0.78
34,255,767,713.33
0.76
32,802,739,566.30
0.66
23,203,992,332.37
0.88
25. SULAWESI TENGAH
IDN_ST
3,453,309,420.21
0.12
3,376,340,442.68
0.12
6,921,116,418.09
0.15
6,453,726,576.53
0.13
13,300,810,062.09
0.50
26. SULAWESI SELATAN
IDN_SN
24,634,050,796.95
0.87
27,818,954,830.73
1.02
28,523,570,653.53
0.63
130,073,023,237.58
2.60
131,656,425,999.57
5.00
27. SULAWESI TENGGARA
IDN_SG
10,519,505,924.99
0.37
10,830,303,412.93
0.40
2,298,579,093.95
0.05
27,826,581,126.57
0.56
15,728,657,411.33
0.60
28. GORONTALO
IDN_GO
25,429,339,114.68
0.90
27,916,176,981.64
1.03
4,107,043,397.25
0.09
5,355,165,518.36
0.11
1,909,300,135.93
0.07
29. SULAWESI BARAT
IDN_SR
1,406,530,176.92
0.05
1,676,539,338.07
0.06
1,927,480,130.89
0.04
4,550,712,553.39
0.09
4,277,146,357.86
0.16
30. MALUKU
IDN_MA
1,761,141,005.57
0.06
2,444,193,617.83
0.09
3,558,415,760.22
0.08
4,857,064,768.69
0.10
4,656,397,197.41
0.18
31. MALUKU UTARA
IDN_MU
1,055,956,776.04
0.04
1,418,120,678.93
0.05
1,117,957,804.78
0.02
2,006,140,168.66
0.04
2,030,777,502.11
0.08
32. PAPUA BARAT
IDN_PB
3,177,814,430.49
0.11
5,138,537,640.92
0.19
4,219,806,774.84
0.09
4,759,418,263.98
0.10
4,137,235,753.06
0.16
33. PAPUA
IDN_PA
5,220,709,515.28
0.18
5,943,733,342.80
0.22
6,873,143,263.94
0.15
10,037,238,651.42
0.20
6,772,732,905.28
0.26
34. KALIMANTAN UTARA
IDN_KU
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
562,216,013.58
0.02
T OT AL
2,823,356,200,046.76 100.00
2,719,609,848,391.34 100.00
52
4,530,302,148,356.92 100.00
5,004,519,735,884.30 100.00
2,634,851,214,057.95 100.00
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Class Construction As At 31/12/2015 in IDR
Table 3.5
Class Construction
U/Y 2011 Amount
U/Y 2013
U/Y 2012 %
Amount
%
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
Com:Steel,Wood,RC≤9
2,386,188,632,579.04
84.52
2,355,214,163,531.87
86.60
4,181,648,763,901.93
92.30
4,458,629,679,805.49
89.09
2,289,716,442,218.27
86.90
Com: Steel, Wood, RC > 9
392,241,038,275.69
13.89
310,752,411,244.27
11.43
293,186,857,333.17
6.47
467,841,572,864.34
9.35
294,971,472,628.99
11.19
Com: Others DW: Steel, Wood, RC up to 3 s toreys DW: Others T OT AL
1,759,846,644.28
0.06
7,720,910,121.39
0.28
7,779,167,652.80
0.17
3,128,854,810.41
0.06
-8,682,845,635.04
-0.33
43,002,310,558.58
1.52
45,756,028,398.03
1.68
47,580,646,029.36
1.05
74,547,214,355.83
1.49
58,762,284,854.50
2.23
164,371,989.15
0.01
166,335,095.78
0.01
106,713,439.67
0.00
372,414,048.23
0.01
83,859,991.26
0.00
2,823,356,200,046.74
100.00
2,719,609,848,391.34
100.00
4,530,302,148,356.93
100.00
5,004,519,735,884.30
100.00
2,634,851,214,057.98
100.00
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
53
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
National Gross Premium By Class Construction As at 31 Dec 2015 (in Billion IDR)
Com: Others
Com: Steel, Wood, RC ≤ 9 5,000,000.00
10,000.00
4,500,000.00
8,000.00
4,000,000.00
6,000.00
3,500,000.00
4,000.00
3,000,000.00
2,000.00
2,500,000.00
-
2,000,000.00
(2,000.00)
1,500,000.00
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
(4,000.00)
1,000,000.00
(6,000.00)
500,000.00
DW: Others
(8,000.00)
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
400.00
(10,000.00)
350.00
Com: Steel, Wood, RC > 9
300.00
DW: Steel, Wood, RC up to 3 storeys
500,000.00
250.00
80,000.00
450,000.00
200.00
70,000.00
400,000.00
150.00
60,000.00
350,000.00 300,000.00
50,000.00
250,000.00
40,000.00
200,000.00
100.00 50.00 -
30,000.00
150,000.00
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
20,000.00
100,000.00
10,000.00
50,000.00 -
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
UY 2012
54
UY 2013
UY 2014
UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number Of Risk By Cresta Zone As At 31/12/2015 Tab le 4.1
Cresta Zone
U/Y 2011
(dalam format lama)
Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
BANDA ACEH
1.1
518
0.31%
589
0.34%
606
0.32%
628
0.28%
451
0.31%
MEDAN
1.2
5,777
3.48%
6,003
3.46%
6,616
3.50%
7,622
3.39%
5,463
3.79%
OTHERS
1.3
4,491
2.71%
4,663
2.69%
4,049
2.14%
5,413
2.41%
2,960
2.05%
NORTH SUMATERA
1
10,786
6.50%
11,255
6.50%
11,271
5.96%
13,663
6.08%
8,874
6.15%
PADANG
2.1
9,869
5.95%
10,643
6.14%
10,703
5.66%
12,644
5.63%
10,634
7.37%
PALEMBANG
2.2
1,443
0.87%
1,534
1,997
OTHERS
2.3
16,565
9.98%
SOUTH SUMATERA
2
27,877
16.80%
JAKARTA
3.1
38,645 23.29%
BANDUNG
3.2
OTHERS
3.3
34,085 20.54%
36,708 21.18%
38,908 20.57%
WEST JAVA
3
73,877
44.52%
74,945
43.25%
88,706
46.89%
102,704
45.72%
SEMARANG
4.1
669
0.40%
806
0.47%
920
0.49%
1,221
YOGYAKARTA
4.2
2,155
1.30%
2,309
1.33%
2,192
1.16%
2,667
OTHERS
4.3
CENTRAL JAVA
4
SURABAYA OTHERS EAST JAVA
1,147
0.69%
0.89%
1,877
0.99%
17,392 10.04%
17,986
9.51%
29,569
30,566
16.16%
17.06%
36,250 20.92% 1,987
47,673 25.20%
1.15%
2,125
1.12%
0.89%
1,244
0.86%
22,746 10.13%
14,025
9.72%
37,387
25,903
17.96%
16.64%
50,628 22.54% 2,235
1.00%
49,841 22.19%
33,355 23.12% 1,978
1.37%
30,530 21.16% 65,863
45.66%
0.54%
700
0.49%
1.19%
1,974
1.37%
9,711
5.85%
10,344
5.97%
10,546
5.57%
15,348
6.83%
9,526
6.60%
12,535
7.55%
13,459
7.77%
13,658
7.22%
19,236
8.56%
12,200
8.46%
5.1
6,063
3.65%
6,193
3.57%
6,255
3.31%
6,485
2.89%
4,159
2.88%
5.2
7,287
4.39%
7,847
4.53%
8,456
4.47%
12,205
5.43%
6,173
4.28%
5
13,350
8.05%
14,040
8.10%
14,711
7.78%
18,690
8.32%
10,332
7.16%
KALIMANTAN
6
5,727
3.45%
7,642
4.41%
7,067
3.74%
7,457
3.32%
3,736
2.59%
UJUNG PANDANG
7.1
1,851
1.12%
1,915
1.11%
2,059
1.09%
2,078
0.93%
1,604
1.11%
OTHERS
7.2
7,029
4.24%
6,213
3.59%
6,271
3.31%
6,554
2.92%
3,736
2.59%
SULAWESI
7
8,880
5.35%
8,128
4.69%
8,330
4.40%
8,632
3.84%
5,340
3.70%
12,908
7.78%
14,236
8.22%
14,863
7.86%
16,852
7.50%
12,012
8.33%
165,940
100%
173,274
100%
189,172
100%
224,621
100%
144,260
100%
OTHER ISLANDS TOTAL
8
55
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number of Risk By Cresta Zone As at 31 Dec 2015
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 2011 UY 2012 UY 2013 UY 2014 UY 2015
Kalimantan 10,000.00
15,000.00
8,000.00
8,000.00
6,000.00
6,000.00
4,000.00
4,000.00
2,000.00
2,000.00
-
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Sulawesi
10,000.00
5,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
20,000.00
10,000.00
5,000.00
20,000.00
-
East Java
10,000.00
40,000.00
10,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
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 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
56
Other Islands 20,000.00
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number Of Risk By Occupation As At 31/12/2015 Tab le 4.2
Occupation
U/Y 2011
%
U/Y 2012
%
U/Y 2013
%
U/Y 2014
%
U/Y 2015
%
AGRICULTURAL
A
379
0.23
420
0.24
535
0.28
487
0.22
172
0.12
COMMERCIAL
C
91,426
55.10
94,471
54.52
100,579
53.17
116,563
51.89
70,863
49.12
INDUSTRIAL
I
14,997
9.04
17,184
9.92
18,427
9.74
18,513
8.24
11,185
7.75
RESIDENTIAL
R
59,138
35.64
61,199
35.32
69,631
36.81
89,058
39.65
62,040
43.01
165,940
100.00
173,274
100.00
189,172
100.00
224,621
100.00
144,260
100.00
TOTAL
57
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number of Risk By Occupation As at 31 Dec 2015
Industrial
Agricultural 20000
600.00
18000 500.00
16000 14000
400.00
12000 10000
300.00
8000 200.00
6000 4000
100.00
2000
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
UY 2012
UY 2013
UY 2014
UY 2015
Residential
Commercial 100000
140,000.00
90000
120,000.00
80000
70000
100,000.00
60000
80,000.00
50000
60,000.00
40000
40,000.00
30000 20000
20,000.00
10000
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
58
UY 2012
UY 2013
UY 2014
UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number Of Risk By Class Construction As At 31/12/2015 Tab le 4.3
Class Construction
U/Y 2011
%
U/Y 2012
%
U/Y 2013
%
U/Y 2014
%
U/Y 2015
%
Com:Steel,Wood,RC≤9
121,236
73.06
121,862
70.33
139,688
73.84
155,501
69.23
100,464
69.64
Com: Steel, Wood, RC > 9
4,312
2.60
5,613
3.24
5,220
2.76
19,188
8.54
5,827
4.04
Com: Others
4,436
2.67
10,410
6.01
10,115
5.35
1,655
0.74
704
0.49
35,795
21.57
35,214
20.32
34,053
18.00
47,979
21.36
37,179
25.77
161
0.10
175
0.10
96
0.05
298
0.13
86
0.06
165,940
100.00
173,274
100.00
189,172
100.00
224,621
100.00
144,260
100.00
DW: Steel, Wood, RC up to 3 s toreys DW: Others
TOTAL
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
59
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number of Risk By Class Construction As at 31 Dec 2015
Com: Steel, Wood, RC ≤ 9 200000
Com: Others 12000 10000
150000
8000
100000
6000
DW: Others
4000
50000
2000
0
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
DW: Steel, Wood, RC up to 3 storeys
Com: Steel, Wood, RC > 9 25000
60000
20000
50000
350 300 250 200 150 100 50 0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
40000
15000
30000
10000
20000
5000
10000 0
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
60
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Number of Risk By Province As At 31/12/2015 Table 4.4
Province
Cresta ID
U/Y 2011 Amount
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
01. NAD
IDN_AC
2,197.00
1.32
1,932.00
1.11
1,630.00
0.86
1,982.00
0.88
1,182.00
02. SUMATERA UTARA
IDN_SU
8,589.00
5.18
9,323.00
5.38
9,641.00
5.10
11,681.00
5.20
7,692.00
5.33
03. SUMATERA BARAT
IDN_SB
14,192.00
8.55
15,238.00
8.79
15,457.00
8.17
17,571.00
7.82
14,488.00
10.04
04. RIAU
IDN_RI
3,204.00
1.93
3,527.00
2.04
3,564.00
1.88
4,348.00
1.94
2,688.00
1.86
05. JAMBI
IDN_JA
1,334.00
0.80
1,659.00
0.96
1,939.00
1.02
2,364.00
1.05
1,234.00
0.86
06. SUMATERA SELATAN
IDN_SS
2,059.00
1.24
2,333.00
1.35
2,910.00
1.54
4,078.00
1.82
1,944.00
1.35
07. BENGKULU
IDN_BE
2,564.00
1.55
2,101.00
1.21
1,829.00
0.97
2,237.00
1.00
1,752.00
1.21
08. LAMPUNG
IDN_LA
2,956.00
1.78
3,023.00
1.74
3,077.00
1.63
4,325.00
1.93
2,463.00
1.71
09. KEP BANGKA-BELITUNG
IDN_BB
329.00
0.20
523.00
0.30
491.00
0.26
818.00
0.36
338.00
0.23
10. KEPULAUAN RIAU
IDN_KR
1,239.00
0.75
1,165.00
0.67
1,299.00
0.69
1,646.00
0.73
996.00
0.69
11. JAKARTA
IDN_JK
38,645.00
23.29
36,250.00
20.92
47,673.00
25.20
50,628.00
22.54
33,355.00
23.12
12. JAWA BARAT
IDN_JB
24,616.00
14.83
27,276.00
15.74
28,608.00
15.12
36,129.00
16.08
22,335.00
15.48
13. JAWA TENGAH
IDN_JT
9,484.00
5.72
10,200.00
5.89
10,226.00
5.41
14,744.00
6.56
8,758.00
6.07
14. DIY
IDN_YO
3,051.00
1.84
3,259.00
1.88
3,432.00
1.81
4,492.00
2.00
3,442.00
2.39
15. JAWA TIMUR
IDN_JI
13,350.00
8.05
14,040.00
8.10
14,711.00
7.78
18,690.00
8.32
10,332.00
7.16
16. BANTEN
IDN_BT
10,616.00
6.40
11,419.00
6.59
12,425.00
6.57
15,947.00
7.10
10,173.00
7.05
17. BALI
IDN_BA
7,026.00
4.23
7,589.00
4.38
8,075.00
4.27
9,825.00
4.37
7,378.00
5.11
18. NUSA TENGGARA BARAT
IDN_NB
1,365.00
0.82
1,478.00
0.85
1,363.00
0.72
1,835.00
0.82
1,004.00
0.70
19. NUSA TENGGARA TIMUR
IDN_NT
762.00
0.46
971.00
0.56
763.00
0.40
614.00
0.27
419.00
0.29
20. KALIMANTAN BARAT
IDN_KB
911.00
0.55
1,823.00
1.05
1,072.00
0.57
1,659.00
0.74
643.00
0.45
21. KALIMANTAN TENGAH
IDN_KT
637.00
0.38
699.00
0.40
691.00
0.37
852.00
0.38
400.00
0.28
22. KALIMANTAN SELATAN
IDN_KS
1,020.00
0.61
1,279.00
0.74
1,253.00
0.66
1,724.00
0.77
824.00
0.57
23. KALIMANTAN TIMUR
IDN_KI
3,159.00
1.90
3,841.00
2.22
4,051.00
2.14
3,222.00
1.43
1,822.00
1.26
24. SULAWESI UTARA
IDN_SA
2,449.00
1.48
1,864.00
1.08
1,859.00
0.98
2,285.00
1.02
1,535.00
1.06
25. SULAWESI TENGAH
IDN_ST
1,539.00
0.93
1,231.00
0.71
1,313.00
0.69
990.00
0.44
769.00
0.53
26. SULAWESI SELATAN
IDN_SN
2,955.00
1.78
3,191.00
1.84
3,408.00
1.80
3,921.00
1.75
2,244.00
1.56
27. SULAWESI TENGGARA
IDN_SG
541.00
0.33
577.00
0.33
610.00
0.32
643.00
0.29
364.00
0.25
28. GORONTALO
IDN_GO
1,157.00
0.70
1,011.00
0.58
829.00
0.44
591.00
0.26
346.00
0.24
29. SULAWESI BARAT
IDN_SR
239.00
0.14
254.00
0.15
311.00
0.16
202.00
0.09
82.00
0.06
30. MALUKU
IDN_MA
403.00
0.24
512.00
0.30
617.00
0.33
775.00
0.35
561.00
0.39
31. MALUKU UTARA
IDN_MU
430.00
0.26
425.00
0.25
377.00
0.20
406.00
0.18
268.00
0.19
32. PAPUA BARAT
IDN_PB
1,213.00
0.73
1,261.00
0.73
1,344.00
0.71
1,369.00
0.61
923.00
0.64
33. PAPUA
IDN_PA
1,709.00
1.03
2,000.00
1.15
2,324.00
1.23
2,028.00
0.90
1,459.00
1.01
34. KALIMANTAN UTARA
-
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
47.00
0.03
165,940.00
100.00
173,274.00
100.00
189,172.00
100.00
224,621.00
100.00
144,260.00
100.00
T OT AL
61
0.82
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim Frequency by Cresta Zone As At 31/12/2015 Table 5.1
U/Y 2011
Cresta Zone
Amount
(dalam format lama)
U/Y 2012 %
Amount
U/Y 2013 %
Amount
U/Y 2014 %
Amount
U/Y 2015 %
Amount
%
BANDA ACEH
1.1
4
4%
6
38%
1
2%
0
0%
0
0%
MEDAN
1.2
8
9%
2
13%
0
0%
0
0%
0
0%
OTHERS
1.3
2
2%
0
0%
0
0%
0
0%
0
0%
NORTH SUMATERA PADANG
1 2.1
14 5
16% 6%
8 0
50% 0%
1 1
2% 2%
0 2
0% 14%
0 0
0% 0%
PALEMBANG
2.2
0
0%
0
0%
0
0%
0
0%
0
0%
OTHERS
2.3
10
11%
1
6%
1
2%
0
0%
0
0%
SOUTH SUMATERA JAKARTA
2 3.1
15 0
17% 0%
1 0
6% 0%
2 0
3% 0%
2 0
14% 0%
0 0
0% 0%
BANDUNG
3.2
1
1%
0
0%
1
2%
0
0%
0
0%
OTHERS
3.3
1
1%
1
6%
0
0%
0
0%
1
5%
WEST JAVA SEMARANG
3 4.1
2 0
2% 0%
1 0
6% 0%
1 0
2% 0%
0 0
0% 0%
1 0
5% 0%
YOGYAKARTA
4.2
0
0%
0
0%
5
8%
0
0%
0
0%
OTHERS
4.3
0
0%
0
0%
6
10%
0
0%
0
0%
CENTRAL JAVA SURABAYA
4 5.1
0 0
0% 0%
0 0
0% 0%
11 0
19% 0%
0 0
0% 0%
0 0
0% 0%
OTHERS
5.2
0
0%
0
0%
41
69%
3
21%
0
0%
EAST JAVA KALIMANTAN
5 6
0 0
0% 0%
0 0
0% 0%
41 0
69% 0%
3 0
21% 0%
0 1
0% 5%
UJUNG PANDANG
7.1
0
0%
0
0%
0
0%
0
0%
0
0%
OTHERS
7.2
1
1%
3
19%
0
0%
3
21%
0
0%
SULAWESI OTHER ISLANDS
7 8
1 57
1% 64%
3 3
19% 19%
0 3
0% 5%
3 6
21% 43%
0 19
0% 90%
89
100%
16
100%
59
100%
14
100%
21
100%
TOTAL
62
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim Frequency By Cresta Zone As at 31 December 2015
North Sumatera
South Sumatera
16
16
14
14
12
12
10
10
8
8
6
6
4
4
2
Central Java
West Java 12
2.5
10
2
8 1.5 6
1 4 0.5
2
2
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
UY 2012
Kalimantan
East Java 45 40
UY 2013
UY 2014
UY 2012
Sulawesi 3.5
60
1
3
50
2.5
0.8
UY 2013
UY 2014
UY 2015
UY 2014
UY 2015
Other Islands
1.2
35 30
UY 2011
UY 2015
40
2
25
0.6
30
20
1.5 0.4
15 10
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
10
0.5
5 0
20
1
0.2
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
0 UY 2011
63
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
UY 2012
UY 2013
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim Frequency by Occupation As At 31/12/2015 Tab le 5.2
Okupasi / Occupation
U/Y 2011
U/Y 2012
U/Y 2013
U/Y 2014
U/Y 2015
AGRICULTURAL / Agricultural
A
0
0
0
0
0
COMMERCIAL / Commercial
C
64
15
47
10
14
INDUSTRIAL / Industrial
I
0
0
5
1
0
RESIDENTIAL / Residential
R
25
1
7
3
7
89
16
59
14
21
Jumlah / Total
64
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim Frequency By Occupation As at 31 December 2015 Commercial
Agricultural 70
1 0.9
60
0.8
0.7
50
0.6
40
0.5
30
0.4 0.3
20
0.2
10
0.1
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
UY 2012
UY 2013
UY 2014
UY 2015
UY 2014
UY 2015
Residential
Industrial 6
30
5
25
4
20
3
15
2
10
1
5 0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
65
UY 2012
UY 2013
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim Frequency by Province As At 31/12/2015 Tab le 5.3
In IDR Province
Cresta ID
U/Y 2011
U/Y 2012
Amount
%
U/Y 2014
U/Y 2013
Amount
%
Amount
%
Amount
U/Y 2015 %
Amount
%
01. NAD
IDN_AC
11.00
12.36
8.00
50.00
2.00
3.39
0.00
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
10.00
11.24
4.00
25.00
0.00
0.00
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
4.00
4.49
0.00
0.00
2.00
3.39
2.00
14.29
0.00
0.00
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
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
5.00
5.62
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
0.00
0.00
12. JAWA BARAT
IDN_JB
2.00
2.25
0.00
0.00
1.00
1.69
0.00
0.00
1.00
4.76
13. JAWA TENGAH
IDN_JT
0.00
0.00
0.00
0.00
1.00
1.69
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
0.00
0.00
0.00
0.00
4.00
6.78
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
0.00
0.00
0.00
0.00
48.00
81.36
3.00
21.43
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
56.00
62.92
1.00
6.25
0.00
0.00
1.00
7.14
1.00
4.76
18. NUSA TENGGARA BARAT
IDN_NB
0.00
0.00
0.00
0.00
1.00
1.69
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
0.00
0.00
1.00
4.76
24. SULAWESI UTARA
IDN_SA
0.00
0.00
1.00
6.25
0.00
0.00
3.00
21.43
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
1.00
1.12
2.00
12.50
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
0.00
0.00
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
0.00
0.00
4.00
28.57
15.00
71.43
33. PAPUA
IDN_PA
0.00
0.00
0.00
0.00
0.00
0.00
1.00
7.14
3.00
14.29
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
T OT AL
89.00 100.00
16.00 100.00
66
59.00 100.00
14.00 100.00
21.00 100.00
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim by Cresta Zone As At 31/12/2015 Tab le 5.4
In IDR
Cresta Zone
U/Y 2011
U/Y 2012
Jumlah
(dalam format lama)
%
U/Y 2013
Jumlah
%
U/Y 2014
Jumlah
%
Jumlah
U/Y 2015 %
Jumlah
%
BANDA ACEH
1.1
379,114,498.20
3.80
1,338,645,096.00
70.23
21,000,000.00
0.01
0.00
0.00
0.00
0.00
MEDAN
1.2
96,659,672.63
0.97
14,936,201.00
0.78
0.00
0.00
0.00
0.00
0.00
0.00
OTHERS
1.3
170,435,941.60
1.71
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
NORTH SUMATERA
1
646,210,112.43
6.48
1,353,581,297.00
71.02
21,000,000.00
0.01
0.00
0.00
0.00
0.00
PADANG
2.1
29,390,800.00
0.29
0.00
0.00
6,710,774.00
0.00
17,491,400.00
1.87
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
4,240,833,936.00
42.56
28,314,000.00
1.49
3,997,822.00
0.00
0.00
0.00
0.00
0.00
SOUTH SUMATERA
2
4,270,224,736.00
42.85
28,314,000.00
1.49
10,708,596.00
0.00
17,491,400.00
1.87
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
67,353,075.00
0.68
0.00
0.00
22,511,000.00
0.01
0.00
0.00
0.00
0.00
OTHERS
3.3
7,100,000.00
0.07
17,438,200.00
0.91
0.00
0.00
0.00
0.00
1,100,000,000.00
25.66
WEST JAVA
3
74,453,075.00
0.75
17,438,200.00
0.91
22,511,000.00
0.01
0.00
0.00
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
0.00
0.00
1,505,206,421.00
0.52
0.00
0.00
0.00
0.00
OTHERS
4.3
0.00
0.00
0.00
0.00
9,125,734,300.44
3.17
0.00
0.00
0.00
0.00
CENTRAL JAVA
4
0.00
0.00
0.00
0.00
10,630,940,721.44
3.69
0.00
0.00
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
0.00
0.00
277,169,671,601.76
96.28
111,029,676.05
11.87
0.00
0.00
EAST JAVA
5
0.00
0.00
0.00
0.00
277,169,671,601.76
96.28
111,029,676.05
11.87
0.00
0.00
KALIMANTAN
6
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
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
6,662,800.00
0.07
377,159,738.51
19.79
0.00
0.00
78,511,425.00
8.40
0.00
0.00
SULAWESI
7
6,662,800.00
0.07
377,159,738.51
19.79
0.00
0.00
78,511,425.00
8.40
0.00
0.00
OTHER ISLANDS
8
4,967,794,672.90
49.85
129,510,279.54
6.79
26,774,153.20
0.01
727,983,074.00
77.86
3,176,604,753.00
74.11
9,965,345,396.33
100.00
1,906,003,515.05
100.00
287,881,606,072.40
100.00
935,015,575.05
100.00
4,286,604,753.00
100.00
J UMLAH
67
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim By Cresta Zone As at 31 December 2015 ( In Million IDR )
North Sumatera 1600 1400 1200 1000 800 600 400 200 0
3000 2000 1000 0
East Java
Kalimantan 1
250000
0.8
200000
0.2
50000 0
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
6000 4000 2000 0
400 350 300 250 200 150 100 50 0
0.4
100000
8000
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Sulawesi
0.6
150000
10000
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
300000
12000
80 70 60 50 40 30 20 10 0
4000
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
Central Java
West Java
South Sumatera 5000
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
68
Other Islands 6000 5000 4000 3000
2000 1000
0 UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
UY 2011 UY 2012 UY 2013 UY 2014 UY 2015
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim by Occupation As At 31/12/2015 Tab le 5.5 In IDR
Occupation
U/Y 2011
U/Y 2012
Amount
%
U/Y 2013
Amount
%
U/Y 2014
Amount
%
Amount
U/Y 2015 %
Amount
%
AGRICULTURAL
A
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
COMMERCIAL
C
9,686,155,241.29
97.20
1,877,689,515.05
98.51
286,901,665,720.40
99.66
624,550,950.05
66.80
3,378,130,752.00
79.74
INDUSTRIAL
I
RESIDENTIAL
R
TOTAL
0.00
0.00
0.00
0.00
890,057,888.00
0.31
200,000,000.00
21.39
0.00
0.00
279,190,155.04
2.80
28,314,000.00
1.49
89,882,464.00
0.03
110,464,625.00
11.81
858,474,000.00
20.26
9,965,345,396.33
100.00
1,906,003,515.05
100.00
287,881,606,072.40
100.00
935,015,575.05
100.00
4,236,604,752.00
100.00
69
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim By Occupation As at 31 December 2015 ( In Million IDR )
Industrial
Agricultural 1
1000
0.9
900
0.8
800
0.7
700
0.6
600
0.5
500
0.4
400
0.3
300
0.2
200
0.1
100
0
0 UY 2011
UY 2012
UY 2013
UY 2014
UY 2011
UY 2015
Commercial
UY 2012
UY 2013
UY 2014
UY 2015
UY 2014
UY 2015
Residential
350000
1,000.00
900.00
300000
800.00 250000
700.00
200000
600.00 500.00
150000
400.00
300.00
100000
200.00
50000
100.00
0
UY 2011
UY 2012
UY 2013
UY 2014
UY 2015
UY 2011
70
UY 2012
UY 2013
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Claim by Province As At 31/12/2015 Tab le 5.6
In IDR Province
Cresta ID
U/Y 2011
U/Y 2012
Amount
%
U/Y 2014
U/Y 2013
Amount
%
Amount
%
Amount
U/Y 2015 %
Amount
%
01. NAD
IDN_AC
4,545,911,521.33
45.62
1,384,397,296.00
72.63
24,004,968.00
0.01
0.00
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
393,949,527.10
3.95
82,118,384.00
4.31
0.00
0.00
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
95,675,000.00
0.96
0.00
0.00
10,708,596.00
0.00
17,491,400.00
1.87
0.00
0.00
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
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
30,898,800.00
0.31
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
0.00
0.00
12. JAWA BARAT
IDN_JB
74,453,075.00
0.75
0.00
0.00
22,511,000.00
0.01
0.00
0.00
1,100,000,000.00
0.00
13. JAWA TENGAH
IDN_JT
0.00
0.00
0.00
0.00
36,698,640.00
0.01
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
0.00
0.00
0.00
0.00
905,206,421.00
0.31
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
0.00
0.00
0.00
0.00
286,866,607,262.20
99.65
111,029,676.05
11.87
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
4,817,794,672.90
48.35
62,328,096.54
3.27
0.00
0.00
15,745,036.00
1.68
5,000,000.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
0.00
0.00
0.00
0.00
15,869,185.20
0.01
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
0.00
0.00
10,000,000.00
0.00
24. SULAWESI UTARA
IDN_SA
0.00
0.00
299,217,338.51
15.70
0.00
0.00
78,511,425.00
8.40
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
6,662,800.00
0.07
77,942,400.00
4.09
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
0.00
0.00
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
0.00
0.00
700,000,000.00
74.87
3,021,604,750.00
0.00
33. PAPUA
IDN_PA
0.00
0.00
0.00
0.00
0.00
0.00
12,238,038.00
1.31
150,000,003.00
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
935,015,575.05 100.00
4,286,604,753.00
0.00
T OT AL
9,965,345,396.33 100.00
1,906,003,515.05 100.00
71
287,881,606,072.40 100.00
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011 -2015
OCCUPATION
:ALL
01/02/2016
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)
(f)
(g)
rp
Rp ∑(h)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
LOSS RATIO
PERCENTAGE
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)
69,277.00
8.79
8.79
2,636.63
2,636.63
0.02
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
57,506.00 126,783.00
7.30
16.09
6,780.21
9,416.83
0.05
0.06
2.00
2.00
1.19
1.19
16.04
16.04
0.01
0.01
0.24
0.17
3
100.00 200.00
80,521.00 207,304.00
10.22
26.31
17,816.33
27,233.17
0.12
0.19
6.00
8.00
3.57
4.76
91.65
107.69
0.03
0.03
0.51
0.40
4
200.00 300.00
59,683.00 266,987.00
7.57
33.89
21,931.75
49,164.92
0.15
0.33
7.00
15.00
4.17
8.93
394.53
502.22
0.12
0.16
1.80
1.02
5
300.00 500.00
91,973.00 358,960.00
11.67
45.56
54,081.95
103,246.86
0.37
0.70
29.00
44.00
17.26
26.19
349.20
851.42
0.11
0.27
0.65
0.82
6
500.00 750.00
71,336.00 430,296.00
9.05
54.61
63,277.52
166,524.38
0.43
1.13
11.00
55.00
6.55
32.74
518.51
1,369.93
0.16
0.43
0.82
0.82
7
750.00 1,000.00
68,352.00 498,648.00
8.68
63.29
86,723.20
253,247.58
0.59
1.72
11.00
66.00
6.55
39.29
843.50
2,213.43
0.27
0.70
0.97
0.87
8
1,000.00 1,500.00
70,507.00 569,155.00
8.95
72.24
123,435.69
376,683.27
0.84
2.56
20.00
86.00
11.90
51.19
865.96
3,079.39
0.27
0.97
0.70
0.82
9
1,500.00 2,000.00
37,517.00 606,672.00
4.76
77.00
93,766.70
470,449.97
0.64
3.20
10.00
96.00
5.95
57.14
1,017.27
4,096.66
0.32
1.29
1.08
0.87
10
2,000.00 2,500.00
23,156.00 629,828.00
2.94
79.94
74,138.07
544,588.04
0.50
3.70
6.00
102.00
3.57
60.71
1,006.60
5,103.26
0.32
1.61
1.36
0.94
11
2,500.00 3,000.00
18,030.00 647,858.00
2.29
82.23
70,729.42
615,317.47
0.48
4.18
5.00
107.00
2.98
63.69
986.08
6,089.34
0.31
1.92
1.39
0.99
12
3,000.00 4,000.00
22,795.00 670,653.00
2.89
85.12
112,626.51
727,943.97
0.77
4.95
7.00
114.00
4.17
67.86
654.98
6,744.32
0.21
2.12
0.58
0.93
13
4,000.00 5,000.00
16,184.00 686,837.00
2.05
87.17
104,019.37
831,963.34
0.71
5.66
4.00
118.00
2.38
70.24
223.31
6,967.63
0.07
2.19
0.21
0.84
14
5,000.00 7,500.00
22,220.00 709,057.00
2.82
89.99
192,177.21
1,024,140.55
1.31
6.96
13.00
131.00
7.74
77.98
1,821.00
8,788.63
0.57
2.77
0.95
0.86
15
7,500.00 10,000.00
14,449.00 723,506.00
1.83
91.83
181,022.93
1,205,163.49
1.23
8.19
6.00
137.00
3.57
81.55
2,366.09
11,154.71
0.74
3.51
1.31
0.93
16
10,000.00 20,000.00
22,586.00 746,092.00
2.87
94.69
455,545.58
1,660,709.07
3.10
11.29
8.00
145.00
4.76
86.31
1,448.90
12,603.61
0.46
3.97
0.32
0.76
17
20,000.00 50,000.00
19,396.00 765,488.00
2.46
97.16
869,836.02
2,530,545.09
5.91
17.20
9.00
154.00
5.36
91.67
3,068.86
15,672.46
0.97
4.93
0.35
0.62
18
50,000.00 100,000.00
9,755.00 775,243.00
1.24
98.39
950,007.86
3,480,552.95
6.46
23.66
5.00
159.00
2.98
94.64
29,844.65
45,517.12
9.39
14.33
3.14
1.31
19
100,000.00 500,000.00
9,963.00 785,206.00
1.26
99.66 2,963,947.75
6,444,500.70
20.15
43.81
9.00
168.00
5.36 100.00 272,218.57
317,735.68
85.67
100.00
9.18
4.93
20
500,000.00 UP
2,689.00 787,895.00
0.34
100.00 8,266,398.07
14,710,898.77
56.19
100.00
0.00
168.00
0.00 100.00
0.00
317,735.68
0.00
100.00
0.00
2.16
1
0.00 50.00
2
69,277.00
72
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2015
OCCUPATION
: ALL
01/02/2016
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)
LOSS RATIO
PERCENTAGE
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
9,283.00
9,283.00
6.43
6.43
275.23
275.23
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
7,378.00
16,661.00
5.11
11.55
875.55
1,150.77
0.03
0.04
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
13,351.00
30,012.00
9.25
20.80
2,934.74
4,085.51
0.11
0.15
3.00
3.00
14.29
14.29
200.00
200.00
4.67
4.67
6.81
4.90
4
200.00 300.00
11,283.00
41,295.00
7.82
28.63
4,133.49
8,219.00
0.16
0.31
1.00
4.00
4.76
19.05
100.00
300.00
2.33
7.00
2.42
3.65
5
300.00 500.00
18,468.00
59,763.00
12.80
41.43
10,730.07
18,949.07
0.41
0.72
0.00
4.00
0.00
19.05
0.00
300.00
0.00
7.00
0.00
1.58
6
500.00 750.00
13,342.00
73,105.00
9.25
50.68
11,720.02
30,669.09
0.44
1.16
0.00
4.00
0.00
19.05
0.00
300.00
0.00
7.00
0.00
0.98
7
750.00 1,000.00
12,479.00
85,584.00
8.65
59.33
15,633.25
46,302.35
0.59
1.75
0.00
4.00
0.00
19.05
0.00
300.00
0.00
7.00
0.00
0.65
8
1,000.00 1,500.00
12,475.00
98,059.00
8.65
67.97
21,767.17
68,069.51
0.82
2.58
2.00
6.00
9.52
28.57
105.00
405.00
2.45
9.45
0.48
0.59
9
1,500.00 2,000.00
8,046.00 106,105.00
5.58
73.55
19,629.06
87,698.57
0.74
3.32
1.00
7.00
4.76
33.33
175.00
580.00
4.08
13.53
0.89
0.66
10
2,000.00 2,500.00
5,070.00 111,175.00
3.51
77.07
15,792.82
103,491.40
0.60
3.92
1.00
8.00
4.76
38.10
187.50
767.50
4.37
17.90
1.19
0.74
11
2,500.00 3,000.00
3,855.00 115,030.00
2.67
79.74
14,691.17
118,182.57
0.56
4.47
2.00
10.00
9.52
47.62
340.97
1,108.47
7.95
25.86
2.32
0.94
12
3,000.00 4,000.00
4,881.00 119,911.00
3.38
83.12
23,612.45
141,795.02
0.89
5.37
3.00
13.00
14.29
61.90
266.87
1,375.34
6.23
32.08
1.13
0.97
13
4,000.00 5,000.00
3,441.00 123,352.00
2.39
85.51
21,728.78
163,523.81
0.82
6.19
0.00
13.00
0.00
61.90
0.00
1,375.34
0.00
32.08
0.00
0.84
14
5,000.00 7,500.00
4,907.00 128,259.00
3.40
88.91
41,517.14
205,040.95
1.57
7.76
1.00
14.00
4.76
66.67
500.00
1,875.34
11.66
43.75
1.20
0.91
15
7,500.00 10,000.00
3,101.00 131,360.00
2.15
91.06
37,055.77
242,096.71
1.40
9.16
1.00
15.00
4.76
71.43
10.00
1,885.34
0.23
43.98
0.03
0.78
16
10,000.00 20,000.00
4,721.00 136,081.00
3.27
94.33
90,910.70
333,007.42
3.44
12.60
1.00
16.00
4.76
76.19
300.00
2,185.34
7.00
50.98
0.33
0.66
17
20,000.00 50,000.00
3,773.00 139,854.00
2.62
96.95
165,669.01
498,676.43
6.27
18.87
4.00
20.00
19.05
95.24
1,455.00
3,640.34
33.94
84.92
0.88
0.73
18
50,000.00 100,000.00
1,842.00 141,696.00
1.28
98.22
181,160.99
679,837.42
6.86
25.73
0.00
20.00
0.00
95.24
0.00
3,640.34
0.00
84.92
0.00
0.54
19
100,000.00 500,000.00
2,065.00 143,761.00
1.43
99.65
596,328.49
1,276,165.90
22.57
48.29
0.00
20.00
0.00
95.24
0.00
3,640.34
0.00
84.92
0.00
0.29
20
500,000.00 UP
499.00 144,260.00
0.35
100.00 1,366,384.10
2,642,550.01
51.71
100.00
1.00
21.00
4.76 100.00
646.26
4,286.60
15.08
100.00
0.05
0.16
73
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2014
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
17,692.00
17,692.00
7.88
7.88
567.75
567.75
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
15,493.00
33,185.00
6.90
14.77
1,833.14
2,400.89
0.04
0.05
2.00
2.00
14.29
14.29
62.24
62.24
6.66
6.66
3.40
2.59
3
100.00 200.00
19,692.00
52,877.00
8.77
23.54
4,259.08
6,659.96
0.08
0.13
0.00
2.00
0.00
14.29
0.00
62.24
0.00
6.66
0.00
0.93
4
200.00 300.00
15,085.00
67,962.00
6.72
30.26
5,447.21
12,107.17
0.11
0.24
3.00
5.00
21.43
35.71
56.29
118.52
6.02
12.68
1.03
0.98
5
300.00 500.00
28,873.00
96,835.00
12.85
43.11
16,789.80
28,896.97
0.33
0.58
0.00
5.00
0.00
35.71
0.00
118.52
0.00
12.68
0.00
0.41
6
500.00 750.00
25,877.00 122,712.00
11.52
54.63
23,045.66
51,942.63
0.46
1.03
1.00
6.00
7.14
42.86
12.24
130.76
1.31
13.98
0.05
0.25
7
750.00 1,000.00
22,980.00 145,692.00
10.23
64.86
28,724.78
80,667.41
0.57
1.61
2.00
8.00
14.29
57.14
112.92
243.68
12.08
26.06
0.39
0.30
8
1,000.00 1,500.00
17,201.00 162,893.00
7.66
72.52
29,511.28
110,178.69
0.59
2.19
1.00
9.00
7.14
64.29
112.50
356.18
12.03
38.09
0.38
0.32
9
1,500.00 2,000.00
10,209.00 173,102.00
4.54
77.06
25,048.67
135,227.36
0.50
2.69
0.00
9.00
0.00
64.29
0.00
356.18
0.00
38.09
0.00
0.26
10
2,000.00 2,500.00
6,232.00 179,334.00
2.77
79.84
19,434.75
154,662.11
0.39
3.08
2.00
11.00
14.29
78.57
347.26
703.44
37.14
75.23
1.79
0.45
11
2,500.00 3,000.00
4,964.00 184,298.00
2.21
82.05
19,076.98
173,739.09
0.38
3.46
0.00
11.00
0.00
78.57
0.00
703.44
0.00
75.23
0.00
0.40
12
3,000.00 4,000.00
6,198.00 190,496.00
2.76
84.81
29,888.75
203,627.84
0.60
4.05
0.00
11.00
0.00
78.57
0.00
703.44
0.00
75.23
0.00
0.35
13
4,000.00 5,000.00
4,424.00 194,920.00
1.97
86.78
27,892.44
231,520.28
0.56
4.61
1.00
12.00
7.14
85.71
15.75
719.18
1.68
76.92
0.06
0.31
14
5,000.00 7,500.00
6,236.00 201,156.00
2.78
89.55
53,419.93
284,940.21
1.06
5.67
1.00
13.00
7.14
92.86
15.83
735.02
1.69
78.61
0.03
0.26
15
7,500.00 10,000.00
4,038.00 205,194.00
1.80
91.35
49,822.77
334,762.98
0.99
6.67
0.00
13.00
0.00
92.86
0.00
735.02
0.00
78.61
0.00
0.22
16
10,000.00 20,000.00
6,494.00 211,688.00
2.89
94.24
128,821.95
463,584.93
2.57
9.23
0.00
13.00
0.00
92.86
0.00
735.02
0.00
78.61
0.00
0.16
17
20,000.00 50,000.00
5,900.00 217,588.00
2.63
96.87
269,259.91
732,844.84
5.36
14.59
1.00
14.00
7.14 100.00
200.00
935.02
21.39
100.00
0.07
0.13
18
50,000.00 100,000.00
3,066.00 220,654.00
1.36
98.23
292,493.31
1,025,338.15
5.82
20.42
0.00
14.00
0.00 100.00
0.00
935.02
0.00
100.00
0.00
0.09
19
100,000.00 500,000.00
3,123.00 223,777.00
1.39
99.62
954,473.08
1,979,811.24
19.01
39.43
0.00
14.00
0.00 100.00
0.00
935.02
0.00
100.00
0.00
0.05
20
500,000.00 UP
844.00 224,621.00
0.38
100.00 3,041,845.25
5,021,656.49
60.57
100.00
0.00
14.00
0.00 100.00
0.00
935.02
0.00
100.00
0.00
0.02
74
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
75
27.81
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2012
OCCUPATION
: ALL
01/02/2016
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)
LOSS RATIO
PERCENTAGE
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
17,342.00
17,342.00
10.01
10.01
688.91
688.91
0.03
0.03
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
13,569.00
30,911.00
7.83
17.84
1,593.81
2,282.72
0.06
0.08
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
19,217.00
50,128.00
11.09
28.93
4,232.47
6,515.19
0.16
0.24
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
13,646.00
63,774.00
7.88
36.81
5,058.75
11,573.95
0.19
0.43
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
19,015.00
82,789.00
10.97
47.78
11,279.65
22,853.60
0.41
0.84
1.00
1.00
6.25
6.25
17.44
17.44
0.91
0.91
0.15
0.08
6
500.00 750.00
13,732.00
96,521.00
7.93
55.70
12,265.12
35,118.72
0.45
1.29
0.00
1.00
0.00
6.25
0.00
17.44
0.00
0.91
0.00
0.05
7
750.00 1,000.00
13,958.00 110,479.00
8.06
63.76
17,858.09
52,976.81
0.66
1.95
0.00
1.00
0.00
6.25
0.00
17.44
0.00
0.91
0.00
0.03
8
1,000.00 1,500.00
16,128.00 126,607.00
9.31
73.07
28,298.70
81,275.51
1.04
2.99
1.00
2.00
6.25
12.50
28.31
45.75
1.49
2.40
0.10
0.06
9
1,500.00 2,000.00
7,983.00 134,590.00
4.61
77.67
20,319.85
101,595.36
0.75
3.74
4.00
6.00
25.00
37.50
709.83
755.58
37.24
39.64
3.49
0.74
10
2,000.00 2,500.00
4,878.00 139,468.00
2.82
80.49
15,679.28
117,274.64
0.58
4.31
1.00
7.00
6.25
43.75
62.33
817.91
3.27
42.91
0.40
0.70
11
2,500.00 3,000.00
3,878.00 143,346.00
2.24
82.73
15,301.77
132,576.42
0.56
4.87
0.00
7.00
0.00
43.75
0.00
817.91
0.00
42.91
0.00
0.62
12
3,000.00 4,000.00
4,853.00 148,199.00
2.80
85.53
24,442.59
157,019.01
0.90
5.77
0.00
7.00
0.00
43.75
0.00
817.91
0.00
42.91
0.00
0.52
13
4,000.00 5,000.00
3,412.00 151,611.00
1.97
87.50
22,274.55
179,293.56
0.82
6.59
0.00
7.00
0.00
43.75
0.00
817.91
0.00
42.91
0.00
0.46
14
5,000.00 7,500.00
4,805.00 156,416.00
2.77
90.27
41,860.76
221,154.32
1.54
8.13
2.00
9.00
12.50
56.25
319.96
1,137.86
16.79
59.70
0.76
0.51
15
7,500.00 10,000.00
3,129.00 159,545.00
1.81
92.08
39,062.81
260,217.14
1.44
9.57
2.00
11.00
12.50
68.75
462.93
1,600.79
24.29
83.99
1.19
0.62
16
10,000.00 20,000.00
4,938.00 164,483.00
2.85
94.93
100,763.80
360,980.94
3.71
13.27
4.00
15.00
25.00
93.75
301.07
1,901.87
15.80
99.78
0.30
0.53
17
20,000.00 50,000.00
4,103.00 168,586.00
2.37
97.29
181,230.91
542,211.85
6.66
19.94
0.00
15.00
0.00
93.75
0.00
1,901.87
0.00
99.78
0.00
0.35
18
50,000.00 100,000.00
2,060.00 170,646.00
1.19
98.48
195,096.17
737,308.01
7.17
27.11
0.00
15.00
0.00
93.75
0.00
1,901.87
0.00
99.78
0.00
0.26
19
100,000.00 500,000.00
2,077.00 172,723.00
1.20
99.68
598,952.63
1,336,260.64
22.02
49.13
1.00
16.00
6.25 100.00
4.14
1,906.00
0.22
100.00
0.00
0.14
20
500,000.00 UP
551.00 173,274.00
0.32
100.00 1,383,349.21
2,719,609.85
50.87
100.00
0.00
16.00
0.00 100.00
0.00
1,906.00
0.00
100.00
0.00
0.07
76
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011
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)
2/1/2016
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
16.874,00
16.874,00
10,17
10,17
684,98
684,98
0,02
0,02
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
12.849,00
29.723,00
7,74
17,91
1.529,48
2.214,46
0,05
0,08
1,00
1,00
1,12
1,12
3,80
3,80
0,04
0,04
0,25
0,17
3
100,00 200.00
19.256,00
48.979,00
11,60
29,52
4.296,60
6.511,06
0,15
0,23
4,00
5,00
4,49
5,62
84,19
87,99
0,84
0,88
1,96
1,35
4
200,00 300.00
13.528,00
62.507,00
8,15
37,67
4.887,41
11.398,47
0,17
0,40
2,00
7,00
2,25
7,87
12,51
100,51
0,13
1,01
0,26
0,88
5
300,00 500.00
19.203,00
81.710,00
11,57
49,24
11.193,90
22.592,37
0,40
0,80
24,00
31,00
26,97
34,83
77,11
177,62
0,77
1,78
0,69
0,79
6
500,00 750.00
13.193,00
94.903,00
7,95
57,19
11.565,64
34.158,01
0,41
1,21
7,00
38,00
7,87
42,70
154,25
331,87
1,55
3,33
1,33
0,97
7
750,00 1,000.00
13.546,00 108.449,00
8,16
65,35
17.466,86
51.624,87
0,62
1,83
3,00
41,00
3,37
46,07
75,92
407,79
0,76
4,09
0,43
0,79
8
1.000,00 1,500.00
13.689,00 122.138,00
8,25
73,60
24.261,90
75.886,78
0,86
2,69
4,00
45,00
4,49
50,56
133,04
540,83
1,34
5,43
0,55
0,71
9
1.500,00 2,000.00
7.370,00 129.508,00
4,44
78,05
18.500,48
94.387,26
0,66
3,34
5,00
50,00
5,62
56,18
422,12
962,95
4,24
9,66
2,28
1,02
10
2.000,00 2,500.00
4.638,00 134.146,00
2,79
80,84
14.850,11
109.237,36
0,53
3,87
2,00
52,00
2,25
58,43
164,22
1.127,17
1,65
11,31
1,11
1,03
11
2.500,00 3,000.00
3.652,00 137.798,00
2,20
83,04
14.442,61
123.679,97
0,51
4,38
3,00
55,00
3,37
61,80
193,30
1.320,47
1,94
13,25
1,34
1,07
12
3.000,00 4,000.00
4.684,00 142.482,00
2,82
85,86
23.088,76
146.768,74
0,82
5,20
3,00
58,00
3,37
65,17
104,87
1.425,34
1,05
14,30
0,45
0,97
13
4.000,00 5,000.00
3.324,00 145.806,00
2,00
87,87
21.425,61
168.194,34
0,76
5,96
3,00
61,00
3,37
68,54
206,61
1.631,94
2,07
16,38
0,96
0,97
14
5.000,00 7,500.00
4.469,00 150.275,00
2,69
90,56
38.757,58
206.951,92
1,37
7,33
8,00
69,00
8,99
77,53
2.525,68
4.157,62
25,34
41,72
6,52
2,01
15
7.500,00 10,000.00
2.914,00 153.189,00
1,76
92,32
36.613,91
243.565,83
1,30
8,63
2,00
71,00
2,25
79,78
203,02
4.360,64
2,04
43,76
0,55
1,79
16
10.000,00 20,000.00
4.571,00 157.760,00
2,75
95,07
91.956,58
335.522,41
3,26
11,88
2,00
73,00
2,25
82,02
596,76
4.957,41
5,99
49,75
0,65
1,48
17
20.000,00 50,000.00
3.914,00 161.674,00
2,36
97,43
169.559,47
505.081,88
6,01
17,89
10,00
83,00
11,24
93,26
4.318,87
9.276,28
43,34
93,09
2,55
1,84
18
50.000,00 100,000.00
1.800,00 163.474,00
1,08
98,51
170.976,52
676.058,40
6,06
23,95
2,00
85,00
2,25
95,51
446,27
9.722,55
4,48
97,56
0,26
1,44
19
100.000,00 500,000.00
1.918,00 165.392,00
1,16
99,67
534.210,95
1.210.269,35
18,92
42,87
4,00
89,00
4,49 100,00
242,80
9.965,35
2,44
100,00
0,05
0,82
20
500.000,00 UP
548,00 165.940,00
0,33
100,00 1.613.086,85
2.823.356,20
57,13
100,00
0,00
89,00
0,00 100,00
0,00
9.965,35
0,00
100,00
0,00
0,35
77
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2015
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
F ∑(d)
FROM
TO
f
(b)
(c)
(d)
(e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
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
1.00
1.00
0.58
0.58
0.21
0.21
0.00
0.00
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
3.00
4.00
1.74
2.33
0.53
0.74
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
3.00
7.00
1.74
4.07
1.09
1.83
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
3.00
10.00
1.74
5.81
1.77
3.60
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
8.00
18.00
4.65
10.47
6.50
10.10
0.04
0.07
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
6.00
24.00
3.49
13.95
5.51
15.61
0.04
0.10
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
10.00
34.00
5.81
19.77
13.09
28.70
0.09
0.19
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
6.00
40.00
3.49
23.26
12.29
40.99
0.08
0.27
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
8.00
48.00
4.65
27.91
22.30
63.29
0.15
0.41
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
3.00
51.00
1.74
29.65
13.63
76.92
0.09
0.50
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
6.00
57.00
3.49
33.14
27.40
104.32
0.18
0.68
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
2.00
59.00
1.16
34.30
14.55
118.86
0.09
0.77
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
3.00
62.00
1.74
36.05
25.27
144.13
0.16
0.94
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
7.00
69.00
4.07
40.12
52.87
197.01
0.34
1.28
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
12.00
81.00
6.98
47.09
234.39
431.40
1.53
2.81
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
18.00
99.00
10.47
57.56
863.28
1,294.67
5.63
8.44
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
24.00
123.00
13.95
71.51
2,288.16
3,582.83
14.91
23.35
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
49.00
172.00
28.49
100.00
11,762.08
15,344.91
76.65
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
0.00
172.00
0.00
100.00
0.00
15,344.91
0.00
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
78
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2015
OCCUPATION
: COMMERCIAL
01/02/2016
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)
LOSS RATIO PERCENTAGE
PERCENTAGE
PERCENTAGE BAND (m)/∑(m)
CUM ∑(n)
rp
(n)
(o)
(p)
Rp∑(p)
BAND (q)/∑(q)
CUM ∑('r)
BAND (p)/(h)
CUM q/i
(q)
(r)
(s)
(t)
(u)
1
0.00 50.00
6,080.00
6,080.00
8.58
8.58
173.01
173.01
0.02
0.02
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
3,415.00
9,495.00
4.82
13.40
388.00
561.02
0.05
0.07
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
5,841.00
15,336.00
8.24
21.64
1,262.96
1,823.97
0.15
0.22
2.00
2.00
14.29
14.29
150.00
150.00
4.44
4.44
11.88
8.22
4
200.00 300.00
4,346.00
19,682.00
6.13
27.77
1,608.70
3,432.67
0.20
0.42
1.00
3.00
7.14
21.43
100.00
250.00
2.96
7.40
6.22
7.28
5
300.00 500.00
7,885.00
27,567.00
11.13
38.90
4,722.94
8,155.61
0.57
0.99
0.00
3.00
0.00
21.43
0.00
250.00
0.00
7.40
0.00
3.07
6
500.00 750.00
6,003.00
33,570.00
8.47
47.37
5,465.05
13,620.66
0.66
1.66
0.00
3.00
0.00
21.43
0.00
250.00
0.00
7.40
0.00
1.84
7
750.00 1,000.00
6,336.00
39,906.00
8.94
56.31
8,154.90
21,775.57
0.99
2.65
0.00
3.00
0.00
21.43
0.00
250.00
0.00
7.40
0.00
1.15
8
1,000.00 1,500.00
6,109.00
46,015.00
8.62
64.94
10,965.87
32,741.44
1.33
3.98
0.00
3.00
0.00
21.43
0.00
250.00
0.00
7.40
0.00
0.76
9
1,500.00 2,000.00
4,399.00
50,414.00
6.21
71.14
10,955.42
43,696.86
1.33
5.32
0.00
3.00
0.00
21.43
0.00
250.00
0.00
7.40
0.00
0.57
10
2,000.00 2,500.00
2,692.00
53,106.00
3.80
74.94
8,520.32
52,217.18
1.04
6.35
1.00
4.00
7.14
28.57
187.50
437.50
5.55
12.95
2.20
0.84
11
2,500.00 3,000.00
2,105.00
55,211.00
2.97
77.91
8,123.56
60,340.75
0.99
7.34
0.00
4.00
0.00
28.57
0.00
437.50
0.00
12.95
0.00
0.73
12
3,000.00 4,000.00
2,678.00
57,889.00
3.78
81.69
13,106.10
73,446.85
1.59
8.94
2.00
6.00
14.29
42.86
29.37
466.87
0.87
13.82
0.22
0.64
13
4,000.00 5,000.00
1,990.00
59,879.00
2.81
84.50
12,667.38
86,114.23
1.54
10.48
0.00
6.00
0.00
42.86
0.00
466.87
0.00
13.82
0.00
0.54
14
5,000.00 7,500.00
2,971.00
62,850.00
4.19
88.69
25,167.58
111,281.80
3.06
13.54
1.00
7.00
7.14
50.00
500.00
966.87
14.80
28.62
1.99
0.87
15
7,500.00 10,000.00
1,809.00
64,659.00
2.55
91.25
21,606.67
132,888.48
2.63
16.17
1.00
8.00
7.14
57.14
10.00
976.87
0.30
28.92
0.05
0.74
16
10,000.00 20,000.00
2,704.00
67,363.00
3.82
95.06
52,225.71
185,114.19
6.35
22.52
1.00
9.00
7.14
64.29
300.00
1,276.87
8.88
37.80
0.57
0.69
17
20,000.00 50,000.00
1,928.00
69,291.00
2.72
97.78
84,566.28
269,680.47
10.29
32.81
4.00
13.00
28.57
92.86
1,455.00
2,731.87
43.07
80.87
1.72
1.01
18
50,000.00 100,000.00
816.00
70,107.00
1.15
98.93
82,398.29
352,078.76
10.03
42.84
0.00
13.00
0.00
92.86
0.00
2,731.87
0.00
80.87
0.00
0.78
19
100,000.00 500,000.00
678.00
70,785.00
0.96
99.89
187,610.38
539,689.14
22.83
65.66
0.00
13.00
0.00
92.86
0.00
2,731.87
0.00
80.87
0.00
0.51
20
500,000.00 UP
78.00
70,863.00
0.11
100.00
282,215.89
821,905.03
34.34
100.00
1.00
14.00
7.14
100.00
646.26
3,378.13
19.13
100.00
0.23
0.41
79
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2015
OCCUPATION
: INDUSTRIAL
01/02/2016
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f
F ∑(d)
(d)
(e)
PERCENTAGE
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
LOSS RATIO
PERCENTAGE
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
324.00
324.00
2.90
2.90
11.42
11.42
0.00
0.00
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
565.00
889.00
5.05
7.95
67.97
79.39
0.00
0.01
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
330.00
1,219.00
2.95
10.90
71.48
150.87
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
273.00
1,492.00
2.44
13.34
94.87
245.74
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
473.00
1,965.00
4.23
17.57
289.91
535.65
0.02
0.04
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
487.00
2,452.00
4.35
21.92
450.00
985.65
0.03
0.07
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
436.00
2,888.00
3.90
25.82
586.15
1,571.80
0.04
0.11
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
579.00
3,467.00
5.18
31.00
1,057.03
2,628.83
0.07
0.18
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
457.00
3,924.00
4.09
35.08
1,126.04
3,754.86
0.08
0.26
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
358.00
4,282.00
3.20
38.28
1,143.03
4,897.90
0.08
0.34
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
297.00
4,579.00
2.66
40.94
1,150.65
6,048.54
0.08
0.42
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
487.00
5,066.00
4.35
45.29
2,395.08
8,443.62
0.17
0.58
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
376.00
5,442.00
3.36
48.65
2,422.63
10,866.24
0.17
0.75
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
669.00
6,111.00
5.98
54.64
5,834.87
16,701.11
0.40
1.15
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
564.00
6,675.00
5.04
59.68
6,756.75
23,457.86
0.47
1.62
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,094.00
7,769.00
9.78
69.46
20,963.26
44,421.12
1.45
3.07
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
1,246.00
9,015.00
11.14
80.60
55,491.48
99,912.61
3.84
6.91
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
776.00
9,791.00
6.94
87.54
72,713.79
172,626.40
5.03
11.93
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
1,024.00
10,815.00
9.16
96.69
301,494.68
474,121.07
20.84
32.77
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
370.00
11,185.00
3.31
100.00
972,653.17
1,446,774.25
67.23
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
80
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2015
OCCUPATION
: RESIDENTIAL
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 CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
2,879.00
2,879.00
4.64
4.64
90.80
90.80
0.03
0.03
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
3,397.00
6,276.00
5.48
10.12
419.36
510.16
0.12
0.14
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
7,177.00
13,453.00
11.57
21.68
1,599.77
2,109.93
0.45
0.59
1.00
1.00
14.29
14.29
50.00
50.00
5.50
5.50
3.13
2.37
4
200.00 300.00
6,661.00
20,114.00
10.74
32.42
2,428.84
4,538.77
0.68
1.27
0.00
1.00
0.00
14.29
0.00
50.00
0.00
5.50
0.00
1.10
5
300.00 500.00
10,107.00
30,221.00
16.29
48.71
5,715.45
10,254.21
1.59
2.86
0.00
1.00
0.00
14.29
0.00
50.00
0.00
5.50
0.00
0.49
6
500.00 750.00
6,844.00
37,065.00
11.03
59.74
5,798.47
16,052.68
1.62
4.48
0.00
1.00
0.00
14.29
0.00
50.00
0.00
5.50
0.00
0.31
7
750.00 1,000.00
5,701.00
42,766.00
9.19
68.93
6,886.69
22,939.38
1.92
6.40
0.00
1.00
0.00
14.29
0.00
50.00
0.00
5.50
0.00
0.22
8
1,000.00 1,500.00
5,777.00
48,543.00
9.31
78.24
9,731.17
32,670.55
2.71
9.11
2.00
3.00
28.57
42.86
105.00
155.00
11.56
17.06
1.08
0.47
9
1,500.00 2,000.00
3,184.00
51,727.00
5.13
83.38
7,535.32
40,205.86
2.10
11.21
1.00
4.00
14.29
57.14
175.00
330.00
19.26
36.32
2.32
0.82
10
2,000.00 2,500.00
2,012.00
53,739.00
3.24
86.62
6,107.17
46,313.03
1.70
12.92
0.00
4.00
0.00
57.14
0.00
330.00
0.00
36.32
0.00
0.71
11
2,500.00 3,000.00
1,450.00
55,189.00
2.34
88.96
5,403.33
51,716.36
1.51
14.42
2.00
6.00
28.57
85.71
340.97
670.97
37.53
73.86
6.31
1.30
12
3,000.00 4,000.00
1,710.00
56,899.00
2.76
91.71
8,083.88
59,800.24
2.25
16.68
1.00
7.00
14.29 100.00
237.50
908.47
26.14
100.00
2.94
1.52
13
4,000.00 5,000.00
1,073.00
57,972.00
1.73
93.44
6,624.23
66,424.47
1.85
18.53
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
1.37
14
5,000.00 7,500.00
1,264.00
59,236.00
2.04
95.48
10,489.42
76,913.90
2.93
21.45
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
1.18
15
7,500.00 10,000.00
721.00
59,957.00
1.16
96.64
8,639.47
85,553.37
2.41
23.86
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
1.06
16
10,000.00 20,000.00
911.00
60,868.00
1.47
98.11
17,487.34
103,040.71
4.88
28.74
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
0.88
17
20,000.00 50,000.00
581.00
61,449.00
0.94
99.05
24,747.97
127,788.68
6.90
35.64
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
0.71
18
50,000.00 100,000.00
226.00
61,675.00
0.36
99.41
23,760.75
151,549.43
6.63
42.27
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
0.60
19
100,000.00 500,000.00
314.00
61,989.00
0.51
99.92
95,461.35
247,010.78
26.63
68.90
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
0.37
20
500,000.00 UP
51.00
62,040.00
0.08
100.00
111,515.03
358,525.81
31.10
100.00
0.00
7.00
0.00 100.00
0.00
908.47
0.00
100.00
0.00
0.25
81
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2014
OCCUPATION
: AGRICULTURAL
01/02/2016
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
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
LOSS RATIO
PERCENTAGE
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)
11.00
11.00
2.26
2.26
0.23
0.23
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
7.00
18.00
1.44
3.70
0.71
0.94
0.00
0.00
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
10.00
28.00
2.05
5.75
1.61
2.54
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
5.00
33.00
1.03
6.78
2.20
4.74
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
12.00
45.00
2.46
9.24
6.53
11.27
0.02
0.04
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
11.00
56.00
2.26
11.50
6.46
17.73
0.02
0.06
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
14.00
70.00
2.87
14.37
12.96
30.69
0.05
0.11
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
21.00
91.00
4.31
18.69
32.40
63.09
0.12
0.23
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
26.00
117.00
5.34
24.02
58.43
121.52
0.21
0.44
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
19.00
136.00
3.90
27.93
58.17
179.69
0.21
0.65
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
12.00
148.00
2.46
30.39
37.48
217.16
0.13
0.78
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
25.00
173.00
5.13
35.52
129.41
346.57
0.47
1.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
23.00
196.00
4.72
40.25
131.91
478.49
0.47
1.72
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
31.00
227.00
6.37
46.61
245.71
724.20
0.88
2.61
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
30.00
257.00
6.16
52.77
320.45
1,044.65
1.15
3.76
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
43.00
300.00
8.83
61.60
491.93
1,536.58
1.77
5.53
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
54.00
354.00
11.09
72.69
2,343.24
3,879.82
8.44
13.97
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
50.00
404.00
10.27
82.96
4,281.09
8,160.91
15.41
29.39
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
82.00
486.00
16.84
99.79
18,158.96
26,319.87
65.39
94.77
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
1.00
487.00
0.21
100.00
1,452.46
27,772.33
5.23
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1
0.00 50.00
2
82
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2014
OCCUPATION
: COMMERCIAL
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
8,858.00
8,858.00
7.60
7.60
282.63
282.63
0.03
0.03
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
6,527.00
15,385.00
5.60
13.20
715.49
998.12
0.07
0.09
1.00
1.00
10.00
10.00
12.24
12.24
1.96
1.96
1.71
1.23
3
100.00 200.00
8,283.00
23,668.00
7.11
20.30
1,833.76
2,831.88
0.17
0.26
0.00
1.00
0.00
10.00
0.00
12.24
0.00
1.96
0.00
0.43
4
200.00 300.00
6,091.00
29,759.00
5.23
25.53
2,257.41
5,089.29
0.21
0.47
2.00
3.00
20.00
30.00
48.74
60.97
7.80
9.76
2.16
1.20
5
300.00 500.00
15,433.00
45,192.00
13.24
38.77
9,486.61
14,575.90
0.87
1.34
0.00
3.00
0.00
30.00
0.00
60.97
0.00
9.76
0.00
0.42
6
500.00 750.00
16,213.00
61,405.00
13.91
52.68
15,066.64
29,642.54
1.39
2.73
1.00
4.00
10.00
40.00
12.24
73.21
1.96
11.72
0.08
0.25
7
750.00 1,000.00
15,143.00
76,548.00
12.99
65.67
19,545.96
49,188.50
1.80
4.53
1.00
5.00
10.00
50.00
60.00
133.21
9.61
21.33
0.31
0.27
8
1,000.00 1,500.00
9,283.00
85,831.00
7.96
73.63
16,420.44
65,608.94
1.51
6.05
1.00
6.00
10.00
60.00
112.50
245.71
18.01
39.34
0.69
0.37
9
1,500.00 2,000.00
5,350.00
91,181.00
4.59
78.22
13,590.60
79,199.54
1.25
7.30
0.00
6.00
0.00
60.00
0.00
245.71
0.00
39.34
0.00
0.31
10
2,000.00 2,500.00
3,119.00
94,300.00
2.68
80.90
10,087.67
89,287.22
0.93
8.23
2.00
8.00
20.00
80.00
347.26
592.97
55.60
94.94
3.44
0.66
11
2,500.00 3,000.00
2,576.00
96,876.00
2.21
83.11
10,204.01
99,491.23
0.94
9.17
0.00
8.00
0.00
80.00
0.00
592.97
0.00
94.94
0.00
0.60
12
3,000.00 4,000.00
3,134.00
100,010.00
2.69
85.80
15,547.67
115,038.89
1.43
10.60
0.00
8.00
0.00
80.00
0.00
592.97
0.00
94.94
0.00
0.52
13
4,000.00 5,000.00
2,331.00
102,341.00
2.00
87.80
14,992.10
130,031.00
1.38
11.98
1.00
9.00
10.00
90.00
15.75
608.72
2.52
97.47
0.11
0.47
14
5,000.00 7,500.00
3,343.00
105,684.00
2.87
90.67
29,489.29
159,520.28
2.72
14.70
1.00
10.00
10.00
100.00
15.83
624.55
2.53
100.00
0.05
0.39
15
7,500.00 10,000.00
2,151.00
107,835.00
1.85
92.51
26,556.76
186,077.05
2.45
17.14
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.34
16
10,000.00 20,000.00
3,362.00
111,197.00
2.88
95.40
67,365.63
253,442.68
6.21
23.35
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.25
17
20,000.00 50,000.00
2,919.00
114,116.00
2.50
97.90
134,313.33
387,756.01
12.38
35.73
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.16
18
50,000.00 100,000.00
1,396.00
115,512.00
1.20
99.10
121,714.97
509,470.98
11.21
46.94
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.12
19
100,000.00 500,000.00
917.00
116,429.00
0.79
99.89
259,763.46
769,234.44
23.93
70.88
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.08
20
500,000.00 UP
134.00
116,563.00
0.11
100.00
316,103.04
1,085,337.47
29.12
100.00
0.00
10.00
0.00
100.00
0.00
624.55
0.00
100.00
0.00
0.06
83
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2014
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
1
0.00 50.00
2
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f (d)
F ∑(d) (e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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)
1,258.00
1,258.00
6.80
6.80
37.73
37.73
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
433.00
1,691.00
2.34
9.13
45.55
83.27
0.00
0.00
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
648.00
2,339.00
3.50
12.63
141.11
224.39
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
462.00
2,801.00
2.50
15.13
176.28
400.67
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
721.00
3,522.00
3.89
19.02
452.78
853.44
0.01
0.03
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
775.00
4,297.00
4.19
23.21
730.06
1,583.50
0.02
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
756.00
5,053.00
4.08
27.29
955.87
2,539.37
0.03
0.08
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
1,019.00
6,072.00
5.50
32.80
1,835.82
4,375.19
0.06
0.13
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
761.00
6,833.00
4.11
36.91
1,943.68
6,318.87
0.06
0.19
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
591.00
7,424.00
3.19
40.10
1,908.97
8,227.84
0.06
0.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
499.00
7,923.00
2.70
42.80
1,956.02
10,183.86
0.06
0.31
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
814.00
8,737.00
4.40
47.19
4,044.57
14,228.43
0.12
0.44
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
596.00
9,333.00
3.22
50.41
3,886.91
18,115.34
0.12
0.55
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
1,071.00
10,404.00
5.79
56.20
9,366.77
27,482.11
0.29
0.84
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
865.00
11,269.00
4.67
60.87
11,207.79
38,689.90
0.34
1.18
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,732.00
13,001.00
9.36
70.23
34,633.75
73,323.65
1.06
2.24
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
2,005.00
15,006.00
10.83
81.06
93,972.77
167,296.42
2.88
5.12
1.00
1.00
100.00
100.00
200.00
200.00
100.00
100.00
0.21
0.12
18
50,000.00 100,000.00
1,251.00
16,257.00
6.76
87.81
129,676.17
296,972.59
3.97
9.09
0.00
1.00
0.00
100.00
0.00
200.00
0.00
100.00
0.00
0.07
19
100,000.00 500,000.00
1,631.00
17,888.00
8.81
96.62
536,278.86
833,251.45
16.41
25.50
0.00
1.00
0.00
100.00
0.00
200.00
0.00
100.00
0.00
0.02
20
500,000.00 UP
625.00
18,513.00
3.38
100.00 2,434,677.68
3,267,929.12
74.50
100.00
0.00
1.00
0.00
100.00
0.00
200.00
0.00
100.00
0.00
0.01
84
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2014
OCCUPATION
: RESIDENTIAL
01/02/2016
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)
LOSS RATIO
PERCENTAGE
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
7,565.00
7,565.00
8.49
8.49
247.16
247.16
0.04
0.04
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
8,526.00
16,091.00
9.57
18.07
1,071.39
1,318.55
0.17
0.21
1.00
1.00
33.33
33.33
50.00
50.00
45.26
45.26
4.67
3.79
3
100.00 200.00
10,751.00
26,842.00
12.07
30.14
2,282.60
3,601.15
0.36
0.56
0.00
1.00
0.00
33.33
0.00
50.00
0.00
45.26
0.00
1.39
4
200.00 300.00
8,527.00
35,369.00
9.57
39.71
3,011.33
6,612.48
0.47
1.03
1.00
2.00
33.33
66.67
7.55
57.55
6.83
52.10
0.25
0.87
5
300.00 500.00
12,707.00
48,076.00
14.27
53.98
6,843.89
13,456.37
1.07
2.10
0.00
2.00
0.00
66.67
0.00
57.55
0.00
52.10
0.00
0.43
6
500.00 750.00
8,878.00
56,954.00
9.97
63.95
7,242.50
20,698.86
1.13
3.23
0.00
2.00
0.00
66.67
0.00
57.55
0.00
52.10
0.00
0.28
7
750.00 1,000.00
7,067.00
64,021.00
7.94
71.89
8,209.98
28,908.84
1.28
4.51
1.00
3.00
33.33 100.00
52.92
110.46
47.90
100.00
0.64
0.38
8
1,000.00 1,500.00
6,878.00
70,899.00
7.72
79.61
11,222.62
40,131.46
1.75
6.26
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.28
9
1,500.00 2,000.00
4,072.00
74,971.00
4.57
84.18
9,455.97
49,587.43
1.48
7.74
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.22
10
2,000.00 2,500.00
2,503.00
77,474.00
2.81
86.99
7,379.94
56,967.36
1.15
8.89
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.19
11
2,500.00 3,000.00
1,877.00
79,351.00
2.11
89.10
6,879.47
63,846.84
1.07
9.97
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.17
12
3,000.00 4,000.00
2,225.00
81,576.00
2.50
91.60
10,167.10
74,013.94
1.59
11.55
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.15
13
4,000.00 5,000.00
1,474.00
83,050.00
1.66
93.25
8,881.52
82,895.46
1.39
12.94
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.13
14
5,000.00 7,500.00
1,791.00
84,841.00
2.01
95.26
14,318.16
97,213.62
2.24
15.17
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.11
15
7,500.00 10,000.00
992.00
85,833.00
1.11
96.38
11,737.77
108,951.39
1.83
17.01
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.10
16
10,000.00 20,000.00
1,357.00
87,190.00
1.52
97.90
26,330.64
135,282.03
4.11
21.12
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.08
17
20,000.00 50,000.00
922.00
88,112.00
1.04
98.94
38,630.57
173,912.60
6.03
27.15
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.06
18
50,000.00 100,000.00
369.00
88,481.00
0.41
99.35
36,821.08
210,733.68
5.75
32.90
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.05
19
100,000.00 500,000.00
493.00
88,974.00
0.55
99.91
140,271.80
351,005.48
21.90
54.79
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.03
20
500,000.00 UP
84.00
89,058.00
0.09
100.00
289,612.08
640,617.56
45.21
100.00
0.00
3.00
0.00 100.00
0.00
110.46
0.00
100.00
0.00
0.02
85
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2013
OCCUPATION
: AGRICULTURAL
01/02/2016
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
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
BAND (i)/∑(i)
CUM ∑(j)
f
F ∑(l)
(j)
(k)
(l)
(m)
LOSS RATIO
PERCENTAGE
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
11.00
11.00
2.06
2.06
0.32
0.32
0.00
0.00
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
0.00
11.00
0.00
2.06
0.07
0.39
0.00
0.00
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
7.00
18.00
1.31
3.36
1.37
1.77
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
12.00
30.00
2.24
5.61
3.92
5.68
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
22.00
52.00
4.11
9.72
12.07
17.76
0.03
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
27.00
79.00
5.05
14.77
21.04
38.79
0.06
0.11
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
16.00
95.00
2.99
17.76
16.17
54.97
0.05
0.16
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
18.00
113.00
3.36
21.12
32.44
87.41
0.09
0.25
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
21.00
134.00
3.93
25.05
42.61
130.02
0.12
0.37
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
18.00
152.00
3.36
28.41
57.80
187.82
0.16
0.53
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
14.00
166.00
2.62
31.03
54.62
242.44
0.15
0.69
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
21.00
187.00
3.93
34.95
86.75
329.19
0.25
0.93
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
20.00
207.00
3.74
38.69
151.05
480.24
0.43
1.36
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
38.00
245.00
7.10
45.79
281.77
762.00
0.80
2.16
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
24.00
269.00
4.49
50.28
295.55
1,057.55
0.84
3.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
38.00
307.00
7.10
57.38
631.91
1,689.46
1.79
4.79
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
77.00
384.00
14.39
71.78
3,015.24
4,704.70
8.55
13.35
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
80.00
464.00
14.95
86.73
8,034.58
12,739.28
22.79
36.14
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
68.00
532.00
12.71
99.44
14,907.45
27,646.73
42.29
78.43
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
3.00
535.00
0.56
100.00
7,604.09
35,250.82
21.57
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
86
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2013
OCCUPATION
: COMMERCIAL
01/02/2016
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)
LOSS RATIO
PERCENTAGE
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
8,487.00
8,487.00
8.44
8.44
370.16
370.16
0.02
0.02
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
8,882.00
17,369.00
8.83
17.27
1,018.07
1,388.23
0.06
0.08
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
9,236.00
26,605.00
9.18
26.45
2,078.17
3,466.40
0.11
0.19
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,211.00
32,816.00
6.18
32.63
2,389.31
5,855.71
0.13
0.32
1.00
1.00
2.13
2.13
12.83
12.83
0.00
0.00
0.54
0.22
5
300.00 500.00
9,483.00
42,299.00
9.43
42.06
5,839.14
11,694.85
0.32
0.65
4.00
5.00
8.51
10.64
251.73
264.56
0.09
0.09
4.31
2.26
6
500.00 750.00
8,149.00
50,448.00
8.10
50.16
7,411.59
19,106.44
0.41
1.05
2.00
7.00
4.26
14.89
352.62
617.17
0.12
0.22
4.76
3.23
7
750.00 1,000.00
8,397.00
58,845.00
8.35
58.51
11,056.23
30,162.66
0.61
1.66
6.00
13.00
12.77
27.66
684.43
1,301.60
0.24
0.45
6.19
4.32
8
1,000.00 1,500.00
13,405.00
72,250.00
13.33
71.83
23,646.93
53,809.60
1.30
2.97
14.00
27.00
29.79
57.45
638.40
1,940.00
0.22
0.68
2.70
3.61
9
1,500.00 2,000.00
5,550.00
77,800.00
5.52
77.35
14,152.47
67,962.07
0.78
3.75
2.00
29.00
4.26
61.70
184.66
2,124.66
0.06
0.74
1.30
3.13
10
2,000.00 2,500.00
3,346.00
81,146.00
3.33
80.68
11,076.22
79,038.29
0.61
4.36
0.00
29.00
0.00
61.70
0.00
2,124.66
0.00
0.74
0.00
2.69
11
2,500.00 3,000.00
2,460.00
83,606.00
2.45
83.12
9,862.76
88,901.05
0.54
4.91
1.00
30.00
2.13
63.83
756.64
2,881.30
0.26
1.00
7.67
3.24
12
3,000.00 4,000.00
3,006.00
86,612.00
2.99
86.11
15,269.51
104,170.56
0.84
5.75
3.00
33.00
6.38
70.21
497.49
3,378.79
0.17
1.18
3.26
3.24
13
4,000.00 5,000.00
2,245.00
88,857.00
2.23
88.35
14,656.06
118,826.62
0.81
6.56
0.00
33.00
0.00
70.21
0.00
3,378.79
0.00
1.18
0.00
2.84
14
5,000.00 7,500.00
2,924.00
91,781.00
2.91
91.25
26,087.43
144,914.05
1.44
8.00
2.00
35.00
4.26
74.47
615.87
3,994.66
0.21
1.39
2.36
2.76
15
7,500.00 10,000.00
1,935.00
93,716.00
1.92
93.18
24,667.44
169,581.49
1.36
9.36
1.00
36.00
2.13
76.60
9.19
4,003.84
0.00
1.40
0.04
2.36
16
10,000.00 20,000.00
2,851.00
96,567.00
2.83
96.01
57,501.01
227,082.50
3.17
12.53
2.00
38.00
4.26
80.85
766.32
4,770.16
0.27
1.66
1.33
2.10
17
20,000.00 50,000.00
2,271.00
98,838.00
2.26
98.27
101,744.31
328,826.81
5.61
18.15
1.00
39.00
2.13
82.98
30.00
4,800.16
0.01
1.67
0.03
1.46
18
50,000.00 100,000.00
878.00
99,716.00
0.87
99.14
86,485.53
415,312.34
4.77
22.92
3.00
42.00
6.38
89.36
9,198.95
13,999.10
3.21
4.88
10.64
3.37
19
100,000.00 500,000.00
737.00 100,453.00
0.73
99.87
204,219.94
619,532.29
11.27
34.19
4.00
46.00
8.51
97.87 272,874.75
286,873.86
95.11
99.99
133.62
46.30
20
500,000.00 UP
126.00 100,579.00
0.13
100.00 1,192,562.44
1,812,094.73
65.81
100.00
1.00
47.00
2.13 100.00
27.81
286,901.67
0.01
100.00
0.00
15.83
87
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2013
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
1
0.00 50.00
2
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f (d)
F ∑(d) (e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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)
1,687.00
1,687.00
9.16
9.16
43.96
43.96
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
410.00
2,097.00
2.22
11.38
47.24
91.19
0.00
0.00
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
639.00
2,736.00
3.47
14.85
150.94
242.13
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
582.00
3,318.00
3.16
18.01
200.20
442.34
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
760.00
4,078.00
4.12
22.13
482.06
924.40
0.02
0.04
1.00
1.00
20.00
20.00
17.43
17.43
1.96
1.96
3.62
1.89
6
500.00 750.00
795.00
4,873.00
4.31
26.44
772.20
1,696.60
0.03
0.08
0.00
1.00
0.00
20.00
0.00
17.43
0.00
1.96
0.00
1.03
7
750.00 1,000.00
746.00
5,619.00
4.05
30.49
977.33
2,673.93
0.04
0.12
0.00
1.00
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.65
8
1,000.00 1,500.00
1,049.00
6,668.00
5.69
36.19
1,959.10
4,633.03
0.09
0.21
0.00
1.00
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.38
9
1,500.00 2,000.00
782.00
7,450.00
4.24
40.43
2,084.51
6,717.55
0.09
0.30
0.00
1.00
0.00
20.00
0.00
17.43
0.00
1.96
0.00
0.26
10
2,000.00 2,500.00
627.00
8,077.00
3.40
43.83
2,208.89
8,926.44
0.10
0.40
1.00
2.00
20.00
40.00
42.58
60.02
4.78
6.74
1.93
0.67
11
2,500.00 3,000.00
543.00
8,620.00
2.95
46.78
2,232.89
11,159.33
0.10
0.51
1.00
3.00
20.00
60.00
36.70
96.71
4.12
10.87
1.64
0.87
12
3,000.00 4,000.00
766.00
9,386.00
4.16
50.94
4,011.47
15,170.80
0.18
0.69
1.00
4.00
20.00
80.00
54.86
151.58
6.16
17.03
1.37
1.00
13
4,000.00 5,000.00
629.00
10,015.00
3.41
54.35
4,194.21
19,365.01
0.19
0.88
0.00
4.00
0.00
80.00
0.00
151.58
0.00
17.03
0.00
0.78
14
5,000.00 7,500.00
1,102.00
11,117.00
5.98
60.33
9,855.45
29,220.46
0.45
1.32
0.00
4.00
0.00
80.00
0.00
151.58
0.00
17.03
0.00
0.52
15
7,500.00 10,000.00
894.00
12,011.00
4.85
65.18
11,851.81
41,072.27
0.54
1.86
1.00
5.00
20.00 100.00
738.48
890.06
82.97
100.00
6.23
2.17
16
10,000.00 20,000.00
1,636.00
13,647.00
8.88
74.06
34,974.01
76,046.29
1.58
3.44
0.00
5.00
0.00 100.00
0.00
890.06
0.00
100.00
0.00
1.17
17
20,000.00 50,000.00
1,800.00
15,447.00
9.77
83.83
85,011.62
161,057.90
3.85
7.29
0.00
5.00
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.55
18
50,000.00 100,000.00
1,191.00
16,638.00
6.46
90.29
122,962.20
284,020.11
5.56
12.85
0.00
5.00
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.31
19
100,000.00 500,000.00
1,317.00
17,955.00
7.15
97.44
420,809.65
704,829.76
19.04
31.90
0.00
5.00
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.13
20
500,000.00 UP
472.00
18,427.00
2.56
100.00 1,504,866.42
2,209,696.18
68.10
100.00
0.00
5.00
0.00 100.00
0.00
890.06
0.00
100.00
0.00
0.04
88
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2013
OCCUPATION
: RESIDENTIAL
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
5,596.00
5,596.00
8.04
8.04
219.22
219.22
0.05
0.05
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
5,304.00
10,900.00
7.62
15.65
611.07
830.29
0.13
0.18
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
9,311.00
20,211.00
13.37
29.03
2,070.02
2,900.31
0.44
0.61
2.00
2.00
28.57
28.57
7.47
7.47
8.31
8.31
0.36
0.26
4
200.00 300.00
7,132.00
27,343.00
10.24
39.27
2,604.11
5,504.43
0.55
1.16
2.00
4.00
28.57
57.14
25.52
32.98
28.39
36.70
0.98
0.60
5
300.00 500.00
9,502.00
36,845.00
13.65
52.91
5,398.72
10,903.15
1.14
2.30
0.00
4.00
0.00
57.14
0.00
32.98
0.00
36.70
0.00
0.30
6
500.00 750.00
6,525.00
43,370.00
9.37
62.29
5,594.17
16,497.32
1.18
3.49
2.00
6.00
28.57
85.71
11.90
44.88
13.24
49.93
0.21
0.27
7
750.00 1,000.00
5,397.00
48,767.00
7.75
70.04
6,533.00
23,030.32
1.38
4.87
0.00
6.00
0.00
85.71
0.00
44.88
0.00
49.93
0.00
0.19
8
1,000.00 1,500.00
5,421.00
54,188.00
7.79
77.82
9,295.50
32,325.82
1.96
6.83
1.00
7.00
14.29 100.00
45.00
89.88
50.07
100.00
0.48
0.28
9
1,500.00 2,000.00
3,273.00
57,461.00
4.70
82.52
7,922.70
40,248.52
1.67
8.50
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.22
10
2,000.00 2,500.00
2,017.00
59,478.00
2.90
85.42
6,287.44
46,535.96
1.33
9.83
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.19
11
2,500.00 3,000.00
1,508.00
60,986.00
2.17
87.58
5,856.89
52,392.85
1.24
11.07
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.17
12
3,000.00 4,000.00
1,966.00
62,952.00
2.82
90.41
9,497.08
61,889.94
2.01
13.08
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.15
13
4,000.00 5,000.00
1,215.00
64,167.00
1.74
92.15
7,585.43
69,475.37
1.60
14.68
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.13
14
5,000.00 7,500.00
1,594.00
65,761.00
2.29
94.44
13,408.00
82,883.36
2.83
17.51
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.11
15
7,500.00 10,000.00
922.00
66,683.00
1.32
95.77
11,413.30
94,296.67
2.41
19.92
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.10
16
10,000.00 20,000.00
1,336.00
68,019.00
1.92
97.68
26,398.42
120,695.09
5.58
25.50
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.07
17
20,000.00 50,000.00
808.00
68,827.00
1.16
98.85
35,999.40
156,694.49
7.61
33.11
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.06
18
50,000.00 100,000.00
362.00
69,189.00
0.52
99.37
38,890.73
195,585.22
8.22
41.33
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.05
19
100,000.00 500,000.00
368.00
69,557.00
0.53
99.89
125,930.92
321,516.14
26.61
67.94
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.03
20
500,000.00 UP
74.00
69,631.00
0.11
100.00
151,744.29
473,260.42
32.06
100.00
0.00
7.00
0.00 100.00
0.00
89.88
0.00
100.00
0.00
0.02
89
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2012
OCCUPATION
: AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
F ∑(d)
FROM
TO
f
(b)
(c)
(d)
(e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
3.00
3.00
0.71
0.71
0.25
0.25
0.00
0.00
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
3.00
6.00
0.71
1.43
0.61
0.86
0.00
0.00
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
4.00
10.00
0.95
2.38
1.07
1.93
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
9.00
19.00
2.14
4.52
3.20
5.13
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
18.00
37.00
4.29
8.81
10.51
15.64
0.04
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
31.00
68.00
7.38
16.19
28.12
43.76
0.10
0.15
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
9.00
77.00
2.14
18.33
13.92
57.68
0.05
0.20
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
16.00
93.00
3.81
22.14
28.09
85.76
0.10
0.29
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
23.00
116.00
5.48
27.62
54.94
140.71
0.19
0.48
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
11.00
127.00
2.62
30.24
35.38
176.09
0.12
0.60
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
19.00
146.00
4.52
34.76
59.18
235.27
0.20
0.80
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
18.00
164.00
4.29
39.05
71.42
306.69
0.24
1.04
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
13.00
177.00
3.10
42.14
98.66
405.35
0.34
1.38
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
30.00
207.00
7.14
49.29
246.98
652.33
0.84
2.22
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
21.00
228.00
5.00
54.29
265.21
917.54
0.90
3.12
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
28.00
256.00
6.67
60.95
499.62
1,417.16
1.70
4.82
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
58.00
314.00
13.81
74.76
2,645.23
4,062.38
8.99
13.81
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
48.00
362.00
11.43
86.19
4,367.47
8,429.85
14.85
28.65
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
52.00
414.00
12.38
98.57
12,434.00
20,863.85
42.26
70.92
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
6.00
420.00
1.43
100.00
8,555.38
29,419.23
29.08
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
90
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2012
OCCUPATION
: COMMERCIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
1
0.00 50.00
2
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)
10,441.00
10,441.00
11.05
11.05
475.98
475.98
0.07
0.07
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.00 100.00
8,601.00
19,042.00
9.10
20.16
1,033.45
1,509.43
0.16
0.23
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
9,705.00
28,747.00
10.27
30.43
2,155.61
3,665.03
0.33
0.56
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,312.00
35,059.00
6.68
37.11
2,392.02
6,057.06
0.36
0.92
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
9,328.00
44,387.00
9.87
46.98
5,698.79
11,755.85
0.87
1.79
1.00
1.00
6.67
6.67
17.44
17.44
0.93
0.93
0.31
0.15
6
500.00 750.00
7,206.00
51,593.00
7.63
54.61
6,589.00
18,344.84
1.00
2.79
0.00
1.00
0.00
6.67
0.00
17.44
0.00
0.93
0.00
0.10
7
750.00 1,000.00
8,514.00
60,107.00
9.01
63.62
11,149.51
29,494.36
1.70
4.48
0.00
1.00
0.00
6.67
0.00
17.44
0.00
0.93
0.00
0.06
8
1,000.00 1,500.00
10,607.00
70,714.00
11.23
74.85
18,613.33
48,107.69
2.83
7.31
0.00
1.00
0.00
6.67
0.00
17.44
0.00
0.93
0.00
0.04
9
1,500.00 2,000.00
4,656.00
75,370.00
4.93
79.78
12,082.85
60,190.54
1.84
9.15
4.00
5.00
26.67
33.33
709.83
727.27
37.80
38.73
5.87
1.21
10
2,000.00 2,500.00
2,707.00
78,077.00
2.87
82.65
8,763.25
68,953.79
1.33
10.48
1.00
6.00
6.67
40.00
62.33
789.59
3.32
42.05
0.71
1.15
11
2,500.00 3,000.00
2,110.00
80,187.00
2.23
84.88
8,408.16
77,361.96
1.28
11.76
0.00
6.00
0.00
40.00
0.00
789.59
0.00
42.05
0.00
1.02
12
3,000.00 4,000.00
2,645.00
82,832.00
2.80
87.68
13,429.97
90,791.93
2.04
13.80
0.00
6.00
0.00
40.00
0.00
789.59
0.00
42.05
0.00
0.87
13
4,000.00 5,000.00
1,884.00
84,716.00
1.99
89.67
12,295.53
103,087.46
1.87
15.67
0.00
6.00
0.00
40.00
0.00
789.59
0.00
42.05
0.00
0.77
14
5,000.00 7,500.00
2,511.00
87,227.00
2.66
92.33
21,658.82
124,746.29
3.29
18.97
2.00
8.00
13.33
53.33
319.96
1,109.55
17.04
59.09
1.48
0.89
15
7,500.00 10,000.00
1,600.00
88,827.00
1.69
94.03
19,842.85
144,589.14
3.02
21.98
2.00
10.00
13.33
66.67
462.93
1,572.48
24.65
83.75
2.33
1.09
16
10,000.00 20,000.00
2,425.00
91,252.00
2.57
96.59
48,028.34
192,617.47
7.30
29.29
4.00
14.00
26.67
93.33
301.07
1,873.55
16.03
99.78
0.63
0.97
17
20,000.00 50,000.00
1,802.00
93,054.00
1.91
98.50
76,672.58
269,290.05
11.66
40.94
0.00
14.00
0.00
93.33
0.00
1,873.55
0.00
99.78
0.00
0.70
18
50,000.00 100,000.00
782.00
93,836.00
0.83
99.33
69,906.97
339,197.01
10.63
51.57
0.00
14.00
0.00
93.33
0.00
1,873.55
0.00
99.78
0.00
0.55
19
100,000.00 500,000.00
539.00
94,375.00
0.57
99.90
151,541.43
490,738.44
23.04
74.61
1.00
15.00
6.67
100.00
4.14
1,877.69
0.22
100.00
0.00
0.38
20
500,000.00 UP
96.00
94,471.00
0.10
100.00
166,986.02
657,724.46
25.39
100.00
0.00
15.00
0.00
100.00
0.00
1,877.69
0.00
100.00
0.00
0.29
91
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2012
OCCUPATION
: INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f
F ∑(d)
(d)
(e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
990.00
990.00
5.76
5.76
33.85
33.85
0.00
0.00
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
486.00
1,476.00
2.83
8.59
54.61
88.46
0.00
0.01
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
721.00
2,197.00
4.20
12.79
167.45
255.92
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
677.00
2,874.00
3.94
16.72
247.88
503.80
0.01
0.03
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
824.00
3,698.00
4.80
21.52
518.20
1,022.00
0.03
0.06
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
737.00
4,435.00
4.29
25.81
706.06
1,728.05
0.04
0.10
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
687.00
5,122.00
4.00
29.81
943.79
2,671.84
0.06
0.16
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
1,005.00
6,127.00
5.85
35.66
2,008.12
4,679.96
0.12
0.28
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
717.00
6,844.00
4.17
39.83
1,940.80
6,620.76
0.12
0.39
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
604.00
7,448.00
3.51
43.34
2,035.32
8,656.08
0.12
0.51
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
531.00
7,979.00
3.09
46.43
2,200.27
10,856.35
0.13
0.64
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
768.00
8,747.00
4.47
50.90
4,001.95
14,858.30
0.24
0.88
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
607.00
9,354.00
3.53
54.43
4,012.28
18,870.58
0.24
1.12
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
1,077.00
10,431.00
6.27
60.70
9,677.81
28,548.39
0.57
1.69
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
829.00
11,260.00
4.82
65.53
10,334.42
38,882.81
0.61
2.31
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,582.00
12,842.00
9.21
74.73
32,207.88
71,090.69
1.91
4.22
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
1,718.00
14,560.00
10.00
84.73
77,305.73
148,396.42
4.59
8.80
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
1,009.00
15,569.00
5.87
90.60
99,188.45
247,584.88
5.88
14.69
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
1,210.00
16,779.00
7.04
97.64
346,315.14
593,900.02
20.54
35.23
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
405.00
17,184.00
2.36
100.00 1,092,020.03
1,685,920.05
64.77
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
92
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
: 2012
OCCUPATION
: RESIDENTIAL
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
5,908.00
5,908.00
9.65
9.65
178.82
178.82
0.05
0.05
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
4,479.00
10,387.00
7.32
16.97
505.15
683.97
0.15
0.20
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
8,787.00
19,174.00
14.36
31.33
1,908.34
2,592.31
0.55
0.75
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
6,648.00
25,822.00
10.86
42.19
2,415.65
5,007.96
0.70
1.45
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
8,845.00
34,667.00
14.45
56.65
5,052.15
10,060.12
1.46
2.90
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
5,758.00
40,425.00
9.41
66.06
4,941.95
15,002.07
1.43
4.33
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
4,748.00
45,173.00
7.76
73.81
5,750.87
20,752.93
1.66
5.99
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
4,500.00
49,673.00
7.35
81.17
7,649.17
28,402.10
2.21
8.20
1.00
1.00
100.00
100.00
28.31
28.31
100.00
100.00
0.37
0.10
9
1,500.00 2,000.00
2,587.00
52,260.00
4.23
85.39
6,241.25
34,643.35
1.80
10.00
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.08
10
2,000.00 2,500.00
1,556.00
53,816.00
2.54
87.94
4,845.33
39,488.68
1.40
11.39
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.07
11
2,500.00 3,000.00
1,218.00
55,034.00
1.99
89.93
4,634.16
44,122.83
1.34
12.73
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.06
12
3,000.00 4,000.00
1,422.00
56,456.00
2.32
92.25
6,939.26
51,062.09
2.00
14.73
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.06
13
4,000.00 5,000.00
908.00
57,364.00
1.48
93.73
5,868.07
56,930.17
1.69
16.43
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.05
14
5,000.00 7,500.00
1,187.00
58,551.00
1.94
95.67
10,277.15
67,207.31
2.97
19.39
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.04
15
7,500.00 10,000.00
679.00
59,230.00
1.11
96.78
8,620.33
75,827.65
2.49
21.88
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.04
16
10,000.00 20,000.00
903.00
60,133.00
1.48
98.26
20,027.97
95,855.62
5.78
27.66
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.03
17
20,000.00 50,000.00
525.00
60,658.00
0.86
99.12
24,607.37
120,462.99
7.10
34.76
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.02
18
50,000.00 100,000.00
221.00
60,879.00
0.36
99.48
21,633.28
142,096.27
6.24
41.00
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.02
19
100,000.00 500,000.00
276.00
61,155.00
0.45
99.93
88,662.06
230,758.33
25.58
66.59
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.01
20
500,000.00 UP
44.00
61,199.00
0.07
100.00
115,787.78
346,546.10
33.41
100.00
0.00
1.00
0.00
100.00
0.00
28.31
0.00
100.00
0.00
0.01
93
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011
OCCUPATION
:AGRICULTURAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
F ∑(d)
FROM
TO
f
(b)
(c)
(d)
(e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
5.00
5.00
1.32
1.32
0.54
0.54
0.00
0.00
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
5.00
10.00
1.32
2.64
1.06
1.59
0.00
0.01
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
10.00
20.00
2.64
5.28
4.55
6.14
0.02
0.03
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
8.00
28.00
2.11
7.39
4.97
11.11
0.02
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
10.00
38.00
2.64
10.03
9.37
20.48
0.04
0.09
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
16.00
54.00
4.22
14.25
16.06
36.53
0.07
0.15
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
6.00
60.00
1.58
15.83
6.32
42.85
0.03
0.18
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
26.00
86.00
6.86
22.69
51.87
94.72
0.22
0.40
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
15.00
101.00
3.96
26.65
40.90
135.62
0.17
0.57
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
12.00
113.00
3.17
29.82
44.72
180.34
0.19
0.75
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
13.00
126.00
3.43
33.25
52.69
233.03
0.22
0.98
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
14.00
140.00
3.69
36.94
68.58
301.61
0.29
1.26
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
7.00
147.00
1.85
38.79
54.14
355.75
0.23
1.49
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
20.00
167.00
5.28
44.06
155.53
511.28
0.65
2.14
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
23.00
190.00
6.07
50.13
247.82
759.10
1.04
3.18
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
32.00
222.00
8.44
58.58
536.16
1,295.26
2.24
5.42
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
63.00
285.00
16.62
75.20
2,483.45
3,778.71
10.39
15.81
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
47.00
332.00
12.40
87.60
4,569.84
8,348.55
19.12
34.94
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
40.00
372.00
10.55
98.15
7,644.18
15,992.73
31.99
66.92
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
7.00
379.00
1.85
100.00
7,904.59
23,897.32
33.08
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
94
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011
OCCUPATION
:COMMERCIAL
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
12,635.00
12,635.00
13.82
13.82
520.92
520.92
0.07
0.07
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
7,888.00
20,523.00
8.63
22.45
941.94
1,462.86
0.12
0.19
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
9,530.00
30,053.00
10.42
32.87
2,169.41
3,632.27
0.29
0.48
1.00
1.00
1.56
1.56
4.82
4.82
0.05
0.05
0.22
0.13
4
200.00 300.00
6,257.00
36,310.00
6.84
39.72
2,328.55
5,960.81
0.31
0.79
1.00
2.00
1.56
3.13
6.98
11.80
0.07
0.12
0.30
0.20
5
300.00 500.00
9,455.00
45,765.00
10.34
50.06
5,734.49
11,695.30
0.76
1.54
16.00
18.00
25.00
28.13
65.99
77.79
0.68
0.80
1.15
0.67
6
500.00 750.00
6,700.00
52,465.00
7.33
57.39
6,029.23
17,724.53
0.80
2.34
3.00
21.00
4.69
32.81
111.19
188.98
1.15
1.95
1.84
1.07
7
750.00 1,000.00
8,385.00
60,850.00
9.17
66.56
11,235.60
28,960.13
1.48
3.82
1.00
22.00
1.56
34.38
62.47
251.45
0.64
2.60
0.56
0.87
8
1,000.00 1,500.00
8,429.00
69,279.00
9.22
75.78
15,159.07
44,119.20
2.00
5.82
2.00
24.00
3.13
37.50
107.84
359.29
1.11
3.71
0.71
0.81
9
1,500.00 2,000.00
4,191.00
73,470.00
4.58
80.36
10,679.55
54,798.75
1.41
7.23
4.00
28.00
6.25
43.75
373.42
732.70
3.86
7.56
3.50
1.34
10
2,000.00 2,500.00
2,591.00
76,061.00
2.83
83.19
8,398.39
63,197.14
1.11
8.34
2.00
30.00
3.13
46.88
164.22
896.92
1.70
9.26
1.96
1.42
11
2,500.00 3,000.00
1,976.00
78,037.00
2.16
85.36
7,949.19
71,146.33
1.05
9.38
2.00
32.00
3.13
50.00
179.63
1,076.55
1.85
11.11
2.26
1.51
12
3,000.00 4,000.00
2,562.00
80,599.00
2.80
88.16
12,763.72
83,910.05
1.68
11.07
3.00
35.00
4.69
54.69
104.87
1,181.42
1.08
12.20
0.82
1.41
13
4,000.00 5,000.00
1,859.00
82,458.00
2.03
90.19
12,133.93
96,043.98
1.60
12.67
3.00
38.00
4.69
59.38
206.61
1,388.03
2.13
14.33
1.70
1.45
14
5,000.00 7,500.00
2,372.00
84,830.00
2.59
92.79
20,397.28
116,441.26
2.69
15.36
7.00
45.00
10.94
70.31
2,515.56
3,903.58
25.97
40.30
12.33
3.35
15
7,500.00 10,000.00
1,487.00
86,317.00
1.63
94.41
18,559.88
135,001.14
2.45
17.81
2.00
47.00
3.13
73.44
203.02
4,106.61
2.10
42.40
1.09
3.04
16
10,000.00 20,000.00
2,302.00
88,619.00
2.52
96.93
44,071.74
179,072.88
5.81
23.62
2.00
49.00
3.13
76.56
596.76
4,703.37
6.16
48.56
1.35
2.63
17
20,000.00 50,000.00
1,680.00
90,299.00
1.84
98.77
71,930.51
251,003.39
9.49
33.11
9.00
58.00
14.06
90.63
4,293.72
8,997.09
44.33
92.89
5.97
3.58
18
50,000.00 100,000.00
622.00
90,921.00
0.68
99.45
61,637.08
312,640.47
8.13
41.23
2.00
60.00
3.13
93.75
446.27
9,443.35
4.61
97.49
0.72
3.02
19
100,000.00 500,000.00
431.00
91,352.00
0.47
99.92
117,476.13
430,116.60
15.49
56.73
4.00
64.00
6.25 100.00
242.80
9,686.16
2.51
100.00
0.21
2.25
20
500,000.00 UP
74.00
91,426.00
0.08
100.00
328,082.08
758,198.68
43.27
100.00
0.00
64.00
0.00 100.00
0.00
9,686.16
0.00
100.00
0.00
1.28
95
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011
OCCUPATION
:INDUSTRIAL
PROCESSING DATE
SUM INSURED (BAND) (in million Rp) BAND
(a)
FROM
TO
(b)
(c)
GROSS PREMIUM (In million Rp)
NUMBER OF RISK
f
F ∑(d)
(d)
(e)
PERCENTAGE CUM ∑(f)
rp
(f)
(g)
(h)
(i)
INCURED CLAIM (In million Rp)
CLAIM FREQUENCY
PERCENTAGE
Rp ∑(h)
BAND (d)/∑(d)
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
501.00
501.00
3.34
3.34
16.38
16.38
0.00
0.00
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
288.00
789.00
1.92
5.26
36.30
52.68
0.00
0.00
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
554.00
1,343.00
3.69
8.96
133.94
186.62
0.01
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4
200.00 300.00
386.00
1,729.00
2.57
11.53
163.39
350.01
0.01
0.02
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5
300.00 500.00
686.00
2,415.00
4.57
16.10
445.59
795.60
0.03
0.05
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6
500.00 750.00
583.00
2,998.00
3.89
19.99
586.06
1,381.65
0.03
0.08
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
7
750.00 1,000.00
663.00
3,661.00
4.42
24.41
913.70
2,295.36
0.05
0.14
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
8
1,000.00 1,500.00
955.00
4,616.00
6.37
30.78
1,846.17
4,141.53
0.11
0.24
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
9
1,500.00 2,000.00
708.00
5,324.00
4.72
35.50
1,933.47
6,074.99
0.11
0.36
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
10
2,000.00 2,500.00
544.00
5,868.00
3.63
39.13
1,800.67
7,875.66
0.11
0.46
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
11
2,500.00 3,000.00
471.00
6,339.00
3.14
42.27
2,057.10
9,932.76
0.12
0.58
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
12
3,000.00 4,000.00
735.00
7,074.00
4.90
47.17
3,641.69
13,574.46
0.21
0.80
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
13
4,000.00 5,000.00
593.00
7,667.00
3.95
51.12
3,872.72
17,447.18
0.23
1.03
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
14
5,000.00 7,500.00
955.00
8,622.00
6.37
57.49
8,296.50
25,743.68
0.49
1.52
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
15
7,500.00 10,000.00
763.00
9,385.00
5.09
62.58
9,631.68
35,375.36
0.57
2.08
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
16
10,000.00 20,000.00
1,427.00
10,812.00
9.52
72.09
28,892.60
64,267.96
1.70
3.78
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
17
20,000.00 50,000.00
1,638.00
12,450.00
10.92
83.02
70,599.83
134,867.79
4.16
7.94
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
18
50,000.00 100,000.00
919.00
13,369.00
6.13
89.14
81,786.23
216,654.02
4.81
12.75
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19
100,000.00 500,000.00
1,204.00
14,573.00
8.03
97.17
328,942.53
545,596.55
19.36
32.12
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
20
500,000.00 UP
424.00
14,997.00
2.83
100.00 1,153,254.67
1,698,851.22
67.88
100.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
96
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
RISK & LOSS PROFILE As At 31/12/2015 UNDERWRTING YEAR
:2011
OCCUPATION
:RESIDENTIAL
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
3,733.00
3,733.00
6.31
6.31
147.15
147.15
0.04
0.04
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
4,668.00
8,401.00
7.89
14.21
550.18
697.33
0.16
0.20
1.00
1.00
4.00
4.00
3.80
3.80
1.36
1.36
0.69
0.55
3
100.00 200.00
9,162.00
17,563.00
15.49
29.70
1,988.70
2,686.03
0.58
0.78
3.00
4.00
12.00
16.00
79.38
83.18
28.43
29.79
3.99
3.10
4
200.00 300.00
6,877.00
24,440.00
11.63
41.33
2,390.51
5,076.54
0.70
1.48
1.00
5.00
4.00
20.00
5.53
88.71
1.98
31.77
0.23
1.75
5
300.00 500.00
9,052.00
33,492.00
15.31
56.63
5,004.46
10,081.00
1.46
2.94
8.00
13.00
32.00
52.00
11.12
99.83
3.98
35.76
0.22
0.99
6
500.00 750.00
5,894.00
39,386.00
9.97
66.60
4,934.30
15,015.29
1.44
4.39
4.00
17.00
16.00
68.00
43.05
142.89
15.42
51.18
0.87
0.95
7
750.00 1,000.00
4,492.00
43,878.00
7.60
74.20
5,311.25
20,326.54
1.55
5.94
2.00
19.00
8.00
76.00
13.45
156.34
4.82
56.00
0.25
0.77
8
1,000.00 1,500.00
4,279.00
48,157.00
7.24
81.43
7,204.79
27,531.33
2.10
8.04
2.00
21.00
8.00
84.00
25.21
181.55
9.03
65.03
0.35
0.66
9
1,500.00 2,000.00
2,456.00
50,613.00
4.15
85.58
5,846.57
33,377.90
1.71
9.75
1.00
22.00
4.00
88.00
48.70
230.25
17.45
82.47
0.83
0.69
10
2,000.00 2,500.00
1,491.00
52,104.00
2.52
88.11
4,606.33
37,984.22
1.35
11.09
0.00
22.00
0.00
88.00
0.00
230.25
0.00
82.47
0.00
0.61
11
2,500.00 3,000.00
1,192.00
53,296.00
2.02
90.12
4,383.63
42,367.85
1.28
12.37
1.00
23.00
4.00
92.00
13.67
243.92
4.89
87.37
0.31
0.58
12
3,000.00 4,000.00
1,373.00
54,669.00
2.32
92.44
6,614.77
48,982.62
1.93
14.31
0.00
23.00
0.00
92.00
0.00
243.92
0.00
87.37
0.00
0.50
13
4,000.00 5,000.00
865.00
55,534.00
1.46
93.91
5,364.81
54,347.43
1.57
15.87
0.00
23.00
0.00
92.00
0.00
243.92
0.00
87.37
0.00
0.45
14
5,000.00 7,500.00
1,122.00
56,656.00
1.90
95.80
9,908.27
64,255.70
2.89
18.77
1.00
24.00
4.00
96.00
10.12
254.04
3.62
90.99
0.10
0.40
15
7,500.00 10,000.00
641.00
57,297.00
1.08
96.89
8,174.52
72,430.23
2.39
21.15
0.00
24.00
0.00
96.00
0.00
254.04
0.00
90.99
0.00
0.35
16
10,000.00 20,000.00
810.00
58,107.00
1.37
98.26
18,456.08
90,886.31
5.39
26.54
0.00
24.00
0.00
96.00
0.00
254.04
0.00
90.99
0.00
0.28
17
20,000.00 50,000.00
533.00
58,640.00
0.90
99.16
24,545.68
115,431.99
7.17
33.71
1.00
25.00
4.00 100.00
25.15
279.19
9.01
100.00
0.10
0.24
18
50,000.00 100,000.00
212.00
58,852.00
0.36
99.52
22,983.37
138,415.36
6.71
40.42
0.00
25.00
0.00 100.00
0.00
279.19
0.00
100.00
0.00
0.20
19
100,000.00 500,000.00
243.00
59,095.00
0.41
99.93
80,148.12
218,563.48
23.41
63.83
0.00
25.00
0.00 100.00
0.00
279.19
0.00
100.00
0.00
0.13
20
500,000.00 UP
43.00
59,138.00
0.07
100.00
123,845.51
342,408.99
36.17
100.00
0.00
25.00
0.00 100.00
0.00
279.19
0.00
100.00
0.00
0.08
97
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 31/12/2015
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
01/02/2016
PROCESSING DATE :
2015 A;C;E;N;R
UNDERWRITING YEAR : : POLICY STATUS
Amount
NATIONAL GROSS PREMIUM %
Amount
%
%
Amount
CLAIM FREQUENCY
CLAIM
NUMBER OF RISKS
%
Amount
%
Amount
BANDA ACEH
1.1
5,516,851,989,800.59
0.30
10,564,090,021.28
0.40
451
0.31
0.00
0.00
0
0.00
MEDAN
1.2
41,944,961,328,351.60
2.30
61,564,400,728.66
2.33
5,463
3.79
0.00
0.00
0
0.00
OTHERS
1.3
39,927,200,326,633.20
2.19
66,163,059,255.81
2.50
2,960
2.05
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
87,389,013,644,785.40 19,147,197,211,798.20
4.79 1.05
138,291,550,005.75 36,585,474,425.80
5.23 1.38
8,874 10,634
6.15 7.37
0.00 0.00
0.00 0.00
0 0
0.00 0.00
PALEMBANG
2.2
7,188,283,079,495.92
0.39
7,580,936,916.02
0.29
1,244
0.86
0.00
0.00
0
0.00
OTHERS
2.3
135,368,834,051,010.00
7.42
181,363,847,654.70
6.86
14,025
9.72
0.00
0.00
0
0.00
SOUTH SUMATERA JAKARTA
2 3.1
161,704,314,342,304.00 401,355,505,210,105.00
8.86 21.99
225,530,258,996.52 620,422,945,822.54
8.53 23.48
25,903 33,355
17.96 23.12
0.00 0.00
0.00 0.00
0 0
0.00 0.00
BANDUNG
3.2
10,947,196,964,959.80
0.60
17,847,314,134.22
0.68
1,978
1.37
0.00
0.00
0
0.00
OTHERS
3.3
527,075,860,116,502.00
28.88
806,415,348,239.32
30.52
30,530
21.16
1,100,000,000.00
25.66
1
4.76
WEST JAVA SEMARANG
3 4.1
939,378,562,291,566.00 7,044,667,140,401.29
51.46 0.39
1,444,685,608,196.08 8,937,587,998.21
54.67 0.34
65,863 700
45.66 0.49
1,100,000,000.00 0.00
25.66 0.00
1 0
4.76 0.00
YOGYAKARTA
4.2
9,980,855,147,610.32
0.55
14,927,937,014.09
0.56
1,974
1.37
0.00
0.00
0
0.00
OTHERS
4.3
138,820,526,968,483.00
7.61
183,160,095,288.87
6.93
9,526
6.60
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
155,846,049,256,495.00 41,980,279,421,141.30
8.54 2.30
207,025,620,301.17 51,614,107,136.62
7.83 1.95
12,200 4,159
8.46 2.88
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
163,684,164,646,154.00
8.97
198,110,243,193.61
7.50
6,173
4.28
0.00
0.00
0
0.00
5 6
205,664,444,067,295.00 61,404,909,613,496.10
11.27 3.36
249,724,350,330.23 58,013,933,042.66
9.45 2.20
10,332 3,736
7.16 2.59
0.00 10,000,000.00
0.00 0.23
0 1
0.00 4.76
EAST JAVA KALIMANTAN UJUNG PANDANG
7.1
12,520,340,468,003.40
0.69
11,691,544,600.59
0.44
1,604
1.11
0.00
0.00
0
0.00
OTHERS
7.2
120,761,686,882,878.00
6.62
178,688,582,012.37
6.76
3,736
2.59
0.00
0.00
0
0.00
7 8
133,282,027,350,881.00 80,695,248,266,503.30
7.30 4.42
190,380,126,612.96 128,898,557,651.66
7.20 4.88
5,340 12,012
3.70 8.33
0.00 3,176,604,753.00
0.00 74.11
0 19
0.00 90.48
1,825,364,568,833,330.00
100.00
2,642,550,005,137.03
100.00
144,260 100.00
4,286,604,753.00
100.00
21
100.00
SULAWESI OTHERS TOTAL
98
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 31/12/2015
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
01/02/2016
PROCESSING DATE :
2014 A;C;E;N;R
UNDERWRITING YEAR : : POLICY STATUS
Amount
NATIONAL GROSS PREMIUM %
Amount
%
%
Amount
CLAIM FREQUENCY
CLAIM
NUMBER OF RISKS
%
Amount
%
Amount
BANDA ACEH
1.1
6,380,320,399,315.72
0.20
12,995,081,088.46
0.26
628
0.28
0.00
0.00
0
0.00
MEDAN
1.2
54,179,134,564,189.90
1.73
76,207,400,590.46
1.52
7,622
3.39
0.00
0.00
0
0.00
OTHERS
1.3
56,392,260,850,571.50
1.80
91,589,350,146.51
1.82
5,413
2.41
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
116,951,715,814,077.00 30,344,238,075,932.70
3.73 0.97
180,791,831,825.43 58,666,890,741.35
3.60 1.17
13,663 12,644
6.08 5.63
0.00 17,491,400.00
0.00 1.87
0 2
0.00 14.29
PALEMBANG
2.2
21,073,398,150,628.40
0.67
22,757,855,567.55
0.45
1,997
0.89
0.00
0.00
0
0.00
OTHERS
2.3
201,198,139,300,109.00
6.41
265,615,576,858.19
5.29
22,746
10.13
0.00
0.00
0
0.00
SOUTH SUMATERA JAKARTA
2 3.1
252,615,775,526,670.00 656,480,174,576,657.00
8.05 20.91
347,040,323,167.09 1,093,431,240,656.01
6.91 21.77
37,387 50,628
16.64 22.54
17,491,400.00 0.00
1.87 0.00
2 0
14.29 0.00
BANDUNG
3.2
11,756,896,694,339.50
0.37
18,976,382,860.98
0.38
2,235
1.00
0.00
0.00
0
0.00
OTHERS
3.3
1,118,401,899,211,520.00
35.63
1,985,178,570,752.67
39.53
49,841
22.19
0.00
0.00
0
0.00
WEST JAVA SEMARANG
3 4.1
1,786,638,970,482,510.00 8,717,813,368,498.40
56.92 0.28
3,097,586,194,269.66 12,310,148,889.22
61.68 0.25
102,704 1,221
45.72 0.54
0.00 0.00
0.00 0.00
0 0
0.00 0.00
YOGYAKARTA
4.2
14,139,914,312,838.60
0.45
21,774,445,837.92
0.43
2,667
1.19
0.00
0.00
0
0.00
OTHERS
4.3
148,208,865,760,931.00
4.72
209,765,350,236.20
4.18
15,348
6.83
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
171,066,593,442,268.00 79,851,345,390,068.60
5.45 2.54
243,849,944,963.34 111,601,144,990.16
4.86 2.22
19,236 6,485
8.56 2.89
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
363,109,690,948,439.00
11.57
529,636,075,898.47
10.55
12,205
5.43
111,029,676.05
11.87
3
21.43
5 6
442,961,036,338,508.00 133,726,946,218,284.00
14.11 4.26
641,237,220,888.63 137,756,004,917.57
12.77 2.74
18,690 7,457
8.32 3.32
111,029,676.05 0.00
11.87 0.00
3 0
21.43 0.00
EAST JAVA KALIMANTAN UJUNG PANDANG
7.1
22,935,399,232,639.40
0.73
26,245,803,418.06
0.52
2,078
0.93
0.00
0.00
0
0.00
OTHERS
7.2
113,013,262,727,792.00
3.60
180,816,145,160.67
3.60
6,554
2.92
78,511,425.00
8.40
3
21.43
7 8
135,948,661,960,431.00 99,207,920,834,408.20
4.33 3.16
207,061,948,578.73 166,333,019,400.85
4.12 3.31
8,632 16,852
3.84 7.50
78,511,425.00 727,983,074.00
8.40 77.86
3 6
21.43 42.86
3,139,117,620,617,160.00
100.00
5,021,656,488,011.30
100.00
224,621 100.00
935,015,575.05
100.00
14
100.00
SULAWESI OTHERS TOTAL
99
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 31/12/2015 UNDERWRITING YEAR : POLICY STATUS :
2013 A;C;E;N;R
PROCESSING DATE :
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
01/02/2016
Amount
NATIONAL GROSS PREMIUM %
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
BANDA ACEH
1.1
4,622,772,111,462.52
0.17
8,780,371,316.98
0.19
606
0.32
21,000,000.00
0.01
1
1.69
MEDAN
1.2
48,021,319,931,325.20
1.74
65,225,046,946.91
1.44
6,616
3.50
0.00
0.00
0
0.00
OTHERS
1.3
49,729,745,300,917.30
1.80
76,054,243,381.62
1.68
4,049
2.14
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
102,373,837,343,705.00 27,108,393,866,235.50
3.71 0.98
150,059,661,645.51 52,284,018,726.18
3.31 1.15
11,271 10,703
5.96 5.66
21,000,000.00 6,710,774.00
0.01 0.00
1 1
1.69 1.69
PALEMBANG
2.2
23,226,059,322,507.00
0.84
24,539,765,502.34
0.54
1,877
0.99
0.00
0.00
0
0.00
OTHERS
2.3
150,901,077,439,304.00
5.47
195,024,370,402.77
4.30
17,986
9.51
3,997,822.00
0.00
1
1.69
SOUTH SUMATERA JAKARTA
2 3.1
201,235,530,628,046.00 434,983,119,085,188.00
7.29 15.77
271,848,154,631.29 701,096,622,582.21
6.00 15.48
30,566 47,673
16.16 25.20
10,708,596.00 0.00
0.00 0.00
2 0
3.39 0.00
BANDUNG
3.2
10,565,576,385,753.00
0.38
16,522,055,418.67
0.36
2,125
1.12
22,511,000.00
0.01
1
1.69
OTHERS
3.3
989,058,718,206,873.00
35.85
1,696,236,956,243.95
37.44
38,908
20.57
0.00
0.00
0
0.00
WEST JAVA SEMARANG
3 4.1
1,434,607,413,677,810.00 8,896,839,847,452.73
52.00 0.32
2,413,855,634,244.83 11,846,771,139.16
53.28 0.26
88,706 920
46.89 0.49
22,511,000.00 0.00
0.01 0.00
1 0
1.69 0.00
YOGYAKARTA
4.2
8,572,002,953,780.61
0.31
13,357,450,597.89
0.29
2,192
1.16
1,505,206,421.00
0.52
5
8.47
OTHERS
4.3
136,782,391,322,905.00
4.96
186,297,205,222.13
4.11
10,546
5.57
9,125,734,300.44
3.17
6
10.17
CENTRAL JAVA SURABAYA
4 5.1
154,251,234,124,138.00 134,255,180,232,704.00
5.59 4.87
211,501,426,959.18 220,175,599,260.80
4.67 4.86
13,658 6,255
7.22 3.31
10,630,940,721.44 0.00
3.69 0.00
11 0
18.64 0.00
OTHERS
5.2
233,222,722,561,370.00
8.45
342,531,106,458.03
7.56
8,456
4.47
277,169,671,601.76
96.28
41
69.49
5 6
367,477,902,794,074.00 128,309,277,947,271.00
13.32 4.65
562,706,705,718.83 133,742,522,561.26
12.42 2.95
14,711 7,067
7.78 3.74
277,169,671,601.76 0.00
96.28 0.00
41 0
69.49 0.00
EAST JAVA KALIMANTAN UJUNG PANDANG
7.1
14,119,462,393,835.50
0.51
14,247,891,005.40
0.31
2,059
1.09
0.00
0.00
0
0.00
OTHERS
7.2
39,197,500,637,787.70
1.42
63,785,666,401.65
1.41
6,271
3.31
0.00
0.00
0
0.00
53,316,963,031,623.20 317,037,173,615,059.00
1.93 11.49
78,033,557,407.05 708,554,485,188.98
1.72 15.64
8,330 14,863
4.40 7.86
0.00 26,774,153.20
0.00 0.01
0 3
0.00 5.08
2,758,609,333,161,730.00
100.00
4,530,302,148,356.93
100.00
189,172 100.00
287,881,606,072.40
100.00
59
100.00
SULAWESI OTHERS TOTAL
7 8
100
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 31/12/2015
In IDR
NATIONAL AGGREGAT EXPOSURE
CRESTA ZONE
01/02/2016
PROCESSING DATE :
2012 A;C;E;N;R
UNDERWRITING YEAR : : POLICY STATUS
Amount
NATIONAL GROSS PREMIUM %
Amount
%
%
Amount
CLAIM FREQUENCY
CLAIM
NUMBER OF RISKS
%
Amount
%
Amount
BANDA ACEH
1.1
3,885,123,784,587.20
0.20
7,353,733,470.29
0.27
589
0.34
1,338,645,096.00
70.23
6
37.50
MEDAN
1.2
39,926,317,753,351.10
2.02
49,823,429,099.22
1.83
6,003
3.46
14,936,201.00
0.78
2
12.50
OTHERS
1.3
39,954,965,550,405.30
2.02
52,403,581,223.16
1.93
4,663
2.69
0.00
0.00
0
0.00
NORTH SUMATERA PADANG
1 2.1
83,766,407,088,343.60 18,936,637,401,727.70
4.25 0.96
109,580,743,792.67 35,748,398,735.55
4.03 1.31
11,255 10,643
6.50 6.14
1,353,581,297.00 0.00
71.02 0.00
8 0
50.00 0.00
PALEMBANG
2.2
18,984,111,783,255.90
0.96
17,769,518,269.29
0.65
1,534
0.89
0.00
0.00
0
0.00
OTHERS
2.3
134,454,333,405,891.00
6.81
156,175,313,138.85
5.74
17,392
10.04
28,314,000.00
1.49
1
6.25
SOUTH SUMATERA JAKARTA
2 3.1
172,375,082,590,874.00 399,879,551,278,611.00
8.74 20.27
209,693,230,143.69 599,721,638,263.18
7.71 22.05
29,569 36,250
17.06 20.92
28,314,000.00 0.00
1.49 0.00
1 0
6.25 0.00
BANDUNG
3.2
11,045,021,688,987.80
0.56
16,554,802,345.44
0.61
1,987
1.15
0.00
0.00
0
0.00
OTHERS
3.3
662,556,170,510,363.00
33.58
967,715,936,592.74
35.58
36,708
21.18
17,438,200.00
0.91
1
6.25
WEST JAVA SEMARANG
3 4.1
1,073,480,743,477,960.00 7,128,540,426,300.66
54.41 0.36
1,583,992,377,201.36 8,884,617,313.31
58.24 0.33
74,945 806
43.25 0.47
17,438,200.00 0.00
0.91 0.00
1 0
6.25 0.00
YOGYAKARTA
4.2
9,213,654,452,599.54
0.47
14,027,570,399.90
0.52
2,309
1.33
0.00
0.00
0
0.00
OTHERS
4.3
102,691,869,441,901.00
5.20
128,668,121,640.91
4.73
10,344
5.97
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
119,034,064,320,801.00 51,268,013,090,249.70
6.03 2.60
151,580,309,354.12 65,668,068,636.45
5.57 2.41
13,459 6,193
7.77 3.57
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
241,910,275,276,202.00
12.26
314,027,084,980.74
11.55
7,847
4.53
0.00
0.00
0
0.00
5 6
293,178,288,366,452.00 101,466,311,177,791.00
14.86 5.14
379,695,153,617.19 93,902,425,158.81
13.96 3.45
14,040 7,642
8.10 4.41
0.00 0.00
0.00 0.00
0 0
0.00 0.00
UJUNG PANDANG
7.1
10,440,854,149,882.30
0.53
9,994,887,306.13
0.37
1,915
1.11
0.00
0.00
0
0.00
OTHERS
7.2
53,982,731,254,031.10
2.74
82,745,164,276.72
3.04
6,213
3.59
377,159,738.51
19.79
3
18.75
7 8
64,423,585,403,913.30 65,375,069,733,110.70
3.27 3.31
92,740,051,582.85 98,425,557,540.66
3.41 3.62
8,128 14,236
4.69 8.22
377,159,738.51 129,510,279.54
19.79 6.79
3 3
18.75 18.75
1,973,099,552,159,250.00
100.00
2,719,609,848,391.35
100.00
173,274 100.00
1,906,003,515.05
100.00
16
100.00
EAST JAVA KALIMANTAN
SULAWESI OTHERS TOTAL
101
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY CRESTA ZONE As At 31/12/2015 UNDERWRITING YEAR : POLICY STATUS :
2011 A;C;E;N;R
CRESTA ZONE
PROCESSING DATE : 01/02/2016
In IDR
NATIONAL AGGREGAT EXPOSURE Amount
%
NATIONAL GROSS PREMIUM Amount
%
NUMBER OF RISKS Amount
CLAIM %
Amount
CLAIM FREQUENCY %
Amount
%
BANDA ACEH
1.1
4,799,061,565,236.65
0.22
7,616,473,677.40
0.27
518
0.31
379,114,498.20
3.80
4
4.49
MEDAN
1.2
46,652,172,698,019.40
2.16
54,849,290,878.55
1.94
5,777
3.48
96,659,672.63
0.97
8
8.99
OTHERS
1.3
98,732,449,809,919.40
4.58
132,329,486,203.50
4.69
4,491
2.71
170,435,941.60
1.71
2
2.25
NORTH SUMATERA PADANG
1 2.1
150,183,684,073,175.00 16,558,027,553,262.30
6.97 0.77
194,795,250,759.45 30,869,624,074.28
6.90 1.09
10,786 9,869
6.50 5.95
646,210,112.43 29,390,800.00
6.48 0.29
14 5
15.73 5.62
PALEMBANG
2.2
15,670,152,211,490.50
0.73
14,648,819,921.46
0.52
1,443
0.87
0.00
0.00
0
0.00
OTHERS
2.3
124,326,613,863,710.00
5.77
138,546,777,880.38
4.91
16,565
9.98
4,240,833,936.00
42.56
10
11.24
SOUTH SUMATERA JAKARTA
2 3.1
156,554,793,628,463.00 464,788,039,293,112.00
7.26 21.56
184,065,221,876.12 670,417,956,234.69
6.52 23.75
27,877 38,645
16.80 23.29
4,270,224,736.00 0.00
42.85 0.00
15 0
16.85 0.00
BANDUNG
3.2
6,881,910,055,825.06
0.32
10,069,205,917.11
0.36
1,147
0.69
67,353,075.00
0.68
1
1.12
OTHERS
3.3
607,546,357,655,557.00
28.18
837,118,673,264.09
29.65
34,085
20.54
7,100,000.00
0.07
1
1.12
WEST JAVA SEMARANG
3 4.1
1,079,216,307,004,490.00 6,547,169,388,280.43
50.06 0.30
1,517,605,835,415.89 7,986,696,304.55
53.75 0.28
73,877 669
44.52 0.40
74,453,075.00 0.00
0.75 0.00
2 0
2.25 0.00
YOGYAKARTA
4.2
10,227,924,407,900.00
0.47
15,336,936,026.90
0.54
2,155
1.30
0.00
0.00
0
0.00
OTHERS
4.3
116,804,919,938,213.00
5.42
146,322,144,818.04
5.18
9,711
5.85
0.00
0.00
0
0.00
CENTRAL JAVA SURABAYA
4 5.1
133,580,013,734,394.00 87,137,349,483,550.50
6.20 4.04
169,645,777,149.49 110,500,306,327.69
6.01 3.91
12,535 6,063
7.55 3.65
0.00 0.00
0.00 0.00
0 0
0.00 0.00
OTHERS
5.2
300,804,196,856,445.00
13.95
360,772,475,625.37
12.78
7,287
4.39
0.00
0.00
0
0.00
5 6
387,941,546,339,995.00 123,120,604,752,261.00
17.99 5.71
471,272,781,953.06 103,644,783,974.23
16.69 3.67
13,350 5,727
8.05 3.45
0.00 0.00
0.00 0.00
0 0
0.00 0.00
UJUNG PANDANG
7.1
10,441,385,729,218.00
0.48
9,478,927,946.13
0.34
1,851
1.12
0.00
0.00
0
0.00
OTHERS
7.2
59,644,593,333,905.30
2.77
93,690,275,855.82
3.32
7,029
4.24
6,662,800.00
0.07
1
1.12
7 8
70,085,979,063,123.30 55,304,797,043,097.90
3.25 2.57
103,169,203,801.95 79,157,345,116.55
3.65 2.80
8,880 12,908
5.35 7.78
6,662,800.00 4,967,794,672.90
0.07 49.85
1 57
1.12 64.04
2,155,987,725,639,000.00
100.00
2,823,356,200,046.74
100.00
165,940 100.00
9,965,345,396.33
100.00
89
100.00
EAST JAVA KALIMANTAN
SULAWESI OTHERS TOTAL
102
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 31/12/2015 UNDERWRITING YEAR POLICY STATUS
: 2015 : A;C;E;N;R
PROCESSING DATE : 01/02/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
12,512,729,996,654.10
0.69
15,344,912,446.26
0.58
172.00
0.12
0.00
0.00
0.00
0.00
COMMERCIAL
C
556,459,095,852,838.00
30.48
821,905,031,108.37
31.10
70,863.00
49.12
3,378,130,752.00
78.81
14.00
66.67
INDUSTRIAL
I
1,019,327,118,050,060.00
55.84
1,446,774,248,443.11
54.75
11,185.00
7.75
0.00
0.00
0.00
0.00
RESIDENTIAL
R
237,065,624,933,775.00
12.99
358,525,813,139.31
13.57
62,040.00
43.01
908,474,001.00
21.19
7.00
33.33
1,825,364,568,833,330.00
100.00
2,642,550,005,137.05
100.00
144,260.00
100.00
4,286,604,753.00
100.00
21.00
100.00
T OT AL
103
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 31/12/2015 UNDERWRITING YEAR POLICY STATUS
: 2014 : A;C;E;N;R
PROCESSING DATE : 01/02/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
21,898,886,369,542.20
0.70
27,772,331,433.35
0.55
487.00
0.22
0.00
0.00
0.00
0.00
COMMERCIAL
C
710,443,365,387,901.00
22.63
1,085,337,474,107.64
21.61
116,563.00
51.89
624,550,950.05
66.80
10.00
71.43
INDUSTRIAL
I
2,006,957,034,069,720.00
63.93
3,267,929,121,061.90
65.08
18,513.00
8.24
200,000,000.00
21.39
1.00
7.14
RESIDENTIAL
R
399,818,334,789,999.00
12.74
640,617,561,408.40
12.76
89,058.00
39.65
110,464,625.00
11.81
3.00
21.43
3,139,117,620,617,160.00
100.00
5,021,656,488,011.29
100.00
224,621.00
100.00
935,015,575.05
100.00
14.00
100.00
T OT AL
104
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 31/12/2015 UNDERWRITING YEAR POLICY STATUS
: 2013 : A;C;E;N;R
PROCESSING DATE : 01/02/2016
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
997,234,471,222,148.00
36.15
1,812,094,729,943.74
40.00
100,579.00
53.17
286,901,665,720.40
99.66
47.00
79.66
INDUSTRIAL
I
1,418,650,385,842,790.00
51.43
2,209,696,178,360.79
48.78
18,427.00
9.74
890,057,888.00
0.31
5.00
8.47
RESIDENTIAL
R
316,764,603,117,193.00
11.48
473,260,423,886.57
10.45
69,631.00
36.81
89,882,464.00
0.03
7.00
11.86
2,758,609,333,161,730.00
100.00
4,530,302,148,356.92
100.00
189,172.00
100.00
287,881,606,072.40
100.00
59.00
100.00
T OT AL
105
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 31/12/2015 UNDERWRITING YEAR POLICY STATUS
: 2012 : A;C;E;N;R
PROCESSING DATE : 01/02/2016
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
458,107,980,168,757.00
23.22
657,724,459,784.09
24.18
94,471.00
54.52
1,877,689,515.05
98.51
15.00
93.75
INDUSTRIAL
I
1,261,037,740,470,740.00
63.91
1,685,920,054,092.97
61.99
17,184.00
9.92
0.00
0.00
0.00
0.00
RESIDENTIAL
R
230,410,238,747,720.00
11.68
346,546,104,861.43
12.74
61,199.00
35.32
28,314,000.00
1.49
1.00
6.25
1,973,099,552,159,250.00
100.00
2,719,609,848,391.35
100.00
173,274.00
100.00
1,906,003,515.05
100.00
16.00
100.00
T OT AL
106
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY OCCUPATION As At 31/12/2015 UNDERWRITING YEAR POLICY STATUS
: 2011 : A;C;E;N;R
PROCESSING DATE : 01/02/2016
In IDR
NATIONAL AGGREGATE EXPOSURE
OCCUPATION
Amount
NATIONAL GROSS PREMIUM
%
Amount
%
NUMBER OF RISKS Amount
CLAIM %
CLAIM FREQUENCY
Amount
%
Amount
%
AGRICULTURAL
A
20,170,306,793,199.60
0.94
23,897,315,368.61
0.85
379.00
0.23
0.00
0.00
0.00
0.00
COMMERCIAL
C
543,582,320,342,770.00
25.21
758,198,676,977.93
26.85
91,426.00
55.10
9,686,155,241.29
97.20
64.00
71.91
INDUSTRIAL
I
1,359,750,954,334,130.00
63.07
1,698,851,218,876.43
60.17
14,997.00
9.04
0.00
0.00
0.00
0.00
RESIDENTIAL
R
232,484,144,168,908.00
10.78
342,408,988,823.76
12.13
59,138.00
35.64
279,190,155.04
2.80
25.00
28.09
2,155,987,725,639,000.00
100.00
2,823,356,200,046.73
100.00
165,940.00
100.00
9,965,345,396.33
100.00
89.00
100.00
T OT AL
107
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 31/12/2015
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2015 : 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
8,905,514,794,404.82
0.49
17,016,016,687.95
0.64
1,182.00
0.82
0.00
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
78,483,498,850,380.50
4.30
121,275,533,317.79
4.59
7,692.00
5.33
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
24,874,421,082,055.20
1.36
47,482,428,700.87
1.80
14,488.00
10.04
0.00
0.00
0.00
0.00
04. RIAU
IDN_RI
37,004,018,229,151.90
2.03
48,507,775,311.74
1.84
2,688.00
1.86
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
6,686,715,402,019.63
0.37
7,502,995,161.28
0.28
1,234.00
0.86
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
30,772,349,557,865.50
1.69
41,348,321,814.57
1.56
1,944.00
1.35
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
3,262,742,416,805.81
0.18
6,074,673,389.43
0.23
1,752.00
1.21
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
28,041,795,014,093.90
1.54
43,015,395,386.76
1.63
2,463.00
1.71
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
2,232,890,274,810.80
0.12
1,963,981,146.85
0.07
338.00
0.23
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
28,829,382,365,500.90
1.58
29,634,688,085.02
1.12
996.00
0.69
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
401,355,505,210,105.00
21.99
620,422,945,822.54
23.48
33,355.00
23.12
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
376,970,066,320,336.00
20.65
569,005,760,887.53
21.53
22,335.00
15.48
1,100,000,000.00
25.66
1.00
4.76
13. JAWA TENGAH
IDN_JT
142,589,856,118,763.00
7.81
187,075,750,358.07
7.08
8,758.00
6.07
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
13,256,193,137,731.40
0.73
19,949,869,943.11
0.75
3,442.00
2.39
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
205,664,444,067,295.00
11.27
249,724,350,330.23
9.45
10,332.00
7.16
0.00
0.00
0.00
0.00
16. BANTEN
IDN_BT
161,052,990,761,125.00
8.82
255,256,901,486.01
9.66
10,173.00
7.05
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
62,064,703,672,891.90
3.40
96,365,594,693.22
3.65
7,378.00
5.11
5,000,000.00
0.12
1.00
4.76
18. NUSA TENGGARA BARAT
IDN_NB
6,037,186,988,720.98
0.33
11,094,570,509.22
0.42
1,004.00
0.70
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
2,377,643,731,501.45
0.13
3,841,249,091.36
0.15
419.00
0.29
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
3,018,581,562,548.95
0.17
2,652,214,336.44
0.10
643.00
0.45
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
6,387,898,593,982.85
0.35
5,539,096,657.81
0.21
400.00
0.28
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
16,685,324,501,539.90
0.91
15,610,590,086.62
0.59
824.00
0.57
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
34,668,353,287,897.00
1.90
33,649,815,948.21
1.27
1,822.00
1.26
10,000,000.00
0.23
1.00
4.76
24. SULAWESI UTARA
IDN_SA
12,021,129,799,006.40
0.66
23,424,312,992.37
0.89
1,535.00
1.06
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
7,174,956,158,599.68
0.39
13,377,443,715.89
0.51
769.00
0.53
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
94,126,203,200,600.60
5.16
131,656,425,999.57
4.98
2,244.00
1.56
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
15,862,458,752,180.40
0.87
15,728,657,411.33
0.60
364.00
0.25
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
1,005,991,056,259.39
0.06
1,916,140,135.93
0.07
346.00
0.24
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
3,091,288,384,234.59
0.17
4,277,146,357.86
0.16
82.00
0.06
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
2,388,888,853,481.87
0.13
4,656,397,197.41
0.18
561.00
0.39
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
1,087,390,465,698.46
0.06
2,030,777,502.11
0.08
268.00
0.19
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,634,733,781,755.25
0.14
4,137,235,753.06
0.16
923.00
0.64
3,021,604,750.00
70.49
15.00
71.43
33. PAPUA
IDN_PA
4,104,700,772,453.39
0.22
6,772,732,905.28
0.26
1,459.00
1.01
150,000,003.00
3.50
3.00
14.29
34. KALIMANTAN UTARA
IDN_KU
644,751,667,527.45
0.04
562,216,013.58
0.02
47.00
0.03
0.00
0.00
0.00
0.00
1,825,364,568,833,330.00
100.00
2,642,550,005,137.02
100.00
144,260.00
100.00
4,286,604,753.00
100.00
21.00
100.00
T OT AL
108
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 31/12/2015
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2014 : 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
10,684,341,331,546.00
0.34
20,935,060,517.78
0.42
1,982.00
0.88
0.00
0.00
0.00
02. SUMATERA UTARA
IDN_SU
106,267,374,482,531.00
3.39
159,856,771,307.65
3.18
11,681.00
5.20
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
41,916,011,152,098.40
1.34
80,721,677,801.59
1.61
17,571.00
7.82
17,491,400.00
1.87
2.00
14.29
04. RIAU
IDN_RI
59,966,524,756,498.00
1.91
69,841,953,895.14
1.39
4,348.00
1.94
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
12,121,835,907,101.70
0.39
14,012,153,478.39
0.28
2,364.00
1.05
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
49,688,971,444,573.40
1.58
62,628,115,452.01
1.25
4,078.00
1.82
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
5,711,519,636,239.46
0.18
11,671,067,500.98
0.23
2,237.00
1.00
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
39,579,836,435,191.50
1.26
61,831,112,764.61
1.23
4,325.00
1.93
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
6,140,119,356,209.51
0.20
6,014,740,169.46
0.12
818.00
0.36
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
37,490,956,838,758.30
1.19
40,319,502,104.92
0.80
1,646.00
0.73
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
656,480,174,576,657.00
20.91
1,093,431,240,656.01
21.77
50,628.00
22.54
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
784,811,583,167,840.00
25.00
1,392,297,105,614.71
27.73
36,129.00
16.08
0.00
0.00
0.00
0.00
13. JAWA TENGAH
IDN_JT
151,658,220,515,281.00
4.83
213,458,551,026.71
4.25
14,744.00
6.56
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
19,408,372,926,987.00
0.62
30,391,393,936.62
0.61
4,492.00
2.00
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
442,961,036,338,508.00
14.11
641,237,220,888.63
12.77
18,690.00
8.32
111,029,676.05
11.87
3.00
21.43
16. BANTEN
IDN_BT
345,347,212,738,017.00
11.00
611,857,847,998.94
12.18
15,947.00
7.10
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
73,416,767,191,302.00
2.34
119,258,097,198.05
2.37
9,825.00
4.37
15,745,036.00
1.68
1.00
7.14
18. NUSA TENGGARA BARAT
IDN_NB
11,171,931,612,954.10
0.36
21,092,698,850.38
0.42
1,835.00
0.82
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
2,577,499,186,907.01
0.08
4,322,361,499.67
0.09
614.00
0.27
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
13,246,042,292,778.20
0.42
13,104,646,280.89
0.26
1,659.00
0.74
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
23,807,557,979,534.80
0.76
24,693,404,208.47
0.49
852.00
0.38
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
32,817,881,685,114.40
1.05
32,609,239,722.68
0.65
1,724.00
0.77
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
63,855,464,260,856.80
2.03
67,348,714,705.53
1.34
3,222.00
1.43
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
15,918,780,751,070.50
0.51
32,802,739,566.30
0.65
2,285.00
1.02
78,511,425.00
8.40
3.00
21.43
25. SULAWESI TENGAH
IDN_ST
3,853,936,451,909.42
0.12
6,453,726,576.53
0.13
990.00
0.44
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
92,308,103,223,049.40
2.94
130,073,023,237.58
2.59
3,921.00
1.75
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
18,106,049,595,429.50
0.58
27,826,581,126.57
0.55
643.00
0.29
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
2,734,228,969,925.40
0.09
5,355,165,518.36
0.11
591.00
0.26
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
3,027,562,969,047.09
0.10
4,550,712,553.39
0.09
202.00
0.09
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
2,499,735,342,360.51
0.08
4,857,064,768.69
0.10
775.00
0.35
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
1,026,211,576,283.50
0.03
2,006,140,168.66
0.04
406.00
0.18
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,898,313,012,537.56
0.09
4,759,418,263.98
0.09
1,369.00
0.61
700,000,000.00
74.87
4.00
28.57
33. PAPUA
IDN_PA
5,617,462,912,063.56
0.18
10,037,238,651.42
0.20
2,028.00
0.90
12,238,038.00
1.31
1.00
7.14
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
3,139,117,620,617,160.00
100.00
5,021,656,488,011.30
100.00
224,621.00
100.00
935,015,575.05
100.00
14.00
100.00
T OT AL
109
0.00
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 31/12/2015
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2013 : 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
9,104,272,583,077.73
0.33
16,231,025,129.86
0.36
1,630.00
0.86
24,004,968.00
0.01
2.00
3.39
02. SUMATERA UTARA
IDN_SU
93,269,564,760,627.30
3.38
133,828,636,515.65
2.95
9,641.00
5.10
0.00
0.00
0.00
0.00
03. SUMATERA BARAT
IDN_SB
37,276,017,607,460.00
1.35
71,141,978,233.12
1.57
15,457.00
8.17
10,708,596.00
0.00
2.00
3.39
04. RIAU
IDN_RI
48,622,759,873,559.80
1.76
56,979,055,841.98
1.26
3,564.00
1.88
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
11,015,468,275,121.30
0.40
12,481,421,219.16
0.28
1,939.00
1.02
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
40,737,476,120,486.60
1.48
47,953,304,315.00
1.06
2,910.00
1.54
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
4,886,314,512,451.64
0.18
9,875,991,692.67
0.22
1,829.00
0.97
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
26,866,384,742,224.30
0.97
41,038,967,480.96
0.91
3,077.00
1.63
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
4,542,296,379,914.47
0.16
4,414,703,469.30
0.10
491.00
0.26
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
27,288,813,116,828.10
0.99
27,962,732,379.10
0.62
1,299.00
0.69
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
434,983,119,085,188.00
15.77
701,096,622,582.21
15.48
47,673.00
25.20
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
716,853,788,463,717.00
25.99
1,231,532,142,152.88
27.18
28,608.00
15.12
22,511,000.00
0.01
1.00
1.69
13. JAWA TENGAH
IDN_JT
142,741,347,599,224.00
5.17
193,647,699,073.31
4.27
10,226.00
5.41
36,698,640.00
0.01
1.00
1.69
14. DIY
IDN_YO
11,509,886,524,914.70
0.42
17,853,727,885.88
0.39
3,432.00
1.81
905,206,421.00
0.31
4.00
6.78
15. JAWA TIMUR
IDN_JI
367,477,902,794,074.00
13.32
562,706,705,718.83
12.42
14,711.00
7.78
286,866,607,262.20
99.65
48.00
81.36
16. BANTEN
IDN_BT
282,770,506,128,910.00
10.25
481,226,869,509.74
10.62
12,425.00
6.57
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
301,760,633,873,829.00
10.94
681,050,872,022.28
15.03
8,075.00
4.27
0.00
0.00
0.00
0.00
18. NUSA TENGGARA BARAT
IDN_NB
4,537,320,637,473.73
0.16
8,853,742,003.67
0.20
1,363.00
0.72
15,869,185.20
0.01
1.00
1.69
19. NUSA TENGGARA TIMUR
IDN_NT
1,782,340,075,512.98
0.06
2,880,547,559.24
0.06
763.00
0.40
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
8,027,257,135,438.02
0.29
7,809,850,318.88
0.17
1,072.00
0.57
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
17,179,626,505,757.70
0.62
17,820,732,332.84
0.39
691.00
0.37
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
37,160,737,599,470.90
1.35
37,546,142,813.02
0.83
1,253.00
0.66
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
65,941,656,706,604.60
2.39
70,565,797,096.52
1.56
4,051.00
2.14
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
16,538,329,588,746.10
0.60
34,255,767,713.33
0.76
1,859.00
0.98
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
4,208,592,384,307.53
0.15
6,921,116,418.09
0.15
1,313.00
0.69
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
27,614,973,309,509.10
1.00
28,523,570,653.53
0.63
3,408.00
1.80
0.00
0.00
0.00
0.00
27. SULAWESI TENGGARA
IDN_SG
1,532,875,623,593.63
0.06
2,298,579,093.95
0.05
610.00
0.32
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
2,135,292,082,312.58
0.08
4,107,043,397.25
0.09
829.00
0.44
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
1,286,900,043,154.22
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
1,871,357,567,995.64
0.07
3,558,415,760.22
0.08
617.00
0.33
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
565,878,427,258.84
0.02
1,117,957,804.78
0.02
377.00
0.20
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,612,323,243,092.17
0.09
4,219,806,774.84
0.09
1,344.00
0.71
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
3,907,319,789,896.27
0.14
6,873,143,263.94
0.15
2,324.00
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
2,758,609,333,161,730.00
100.00
4,530,302,148,356.92
100.00
189,172.00
100.00
287,881,606,072.40
100.00
59.00
100.00
T OT AL
110
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 31/12/2015
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
8,328,045,104,607.12
0.40
12,523,921,214.65
0.46
1,932.00
1.11
1,384,397,296.00
72.63
8.00
50.00
02. SUMATERA UTARA
IDN_SU
88,467,285,205,864.50
4.21
97,056,822,578.02
3.57
9,323.00
5.38
82,118,384.00
4.31
4.00
25.00
03. SUMATERA BARAT
IDN_SB
23,704,691,539,292.50
1.13
48,518,954,062.83
1.78
15,238.00
8.79
0.00
0.00
0.00
0.00
04. RIAU
IDN_RI
35,064,056,469,754.20
1.67
35,296,937,565.14
1.30
3,527.00
2.04
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
8,231,659,638,051.55
0.39
10,843,210,998.52
0.40
1,659.00
0.96
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
30,750,924,977,797.60
1.46
42,649,966,420.04
1.57
2,333.00
1.35
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
4,060,325,847,435.66
0.19
8,286,023,146.95
0.30
2,101.00
1.21
0.00
0.00
0.00
0.00
08. LAMPUNG
IDN_LA
27,534,812,464,501.00
1.31
40,021,662,431.05
1.47
3,023.00
1.74
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
3,156,384,885,166.98
0.15
3,403,314,549.65
0.13
523.00
0.30
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
24,051,937,806,463.70
1.14
20,673,160,969.51
0.76
1,165.00
0.67
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
464,788,039,293,112.00
22.11
599,721,638,263.18
22.05
36,250.00
20.92
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
400,857,876,017,649.00
19.06
665,730,866,315.09
24.48
27,276.00
15.74
0.00
0.00
0.00
0.00
13. JAWA TENGAH
IDN_JT
121,725,177,084,954.00
5.79
134,145,041,227.80
4.93
10,200.00
5.89
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
11,854,836,649,440.00
0.56
17,435,268,126.32
0.64
3,259.00
1.88
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
387,941,546,339,995.00
18.45
379,695,153,617.19
13.96
14,040.00
8.10
0.00
0.00
0.00
0.00
16. BANTEN
IDN_BT
213,570,391,693,733.00
10.16
318,539,872,623.08
11.71
11,419.00
6.59
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
43,280,980,532,299.20
2.06
73,043,338,870.19
2.69
7,589.00
4.38
62,328,096.54
3.27
1.00
6.25
18. NUSA TENGGARA BARAT
IDN_NB
3,077,047,054,149.34
0.15
7,135,196,375.48
0.26
1,478.00
0.85
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
1,617,483,032,767.29
0.08
3,302,437,014.52
0.12
971.00
0.56
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
7,209,974,391,744.74
0.34
5,638,300,533.46
0.21
1,823.00
1.05
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
12,214,732,033,229.00
0.58
10,685,121,241.15
0.39
699.00
0.40
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
28,151,320,447,496.90
1.34
13,361,223,492.20
0.49
1,279.00
0.74
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
75,544,577,879,790.50
3.59
64,217,779,892.00
2.36
3,841.00
2.22
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
20,475,241,127,098.30
0.97
21,121,736,576.79
0.78
1,864.00
1.08
299,217,338.51
15.70
1.00
6.25
25. SULAWESI TENGAH
IDN_ST
2,234,831,075,451.70
0.11
3,376,340,442.68
0.12
1,231.00
0.71
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
24,508,942,520,664.60
1.17
27,818,954,830.73
1.02
3,191.00
1.84
77,942,400.00
4.09
2.00
12.50
27. SULAWESI TENGGARA
IDN_SG
9,114,245,475,615.48
0.43
10,830,303,412.93
0.40
577.00
0.33
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
12,799,702,686,629.60
0.61
27,916,176,981.64
1.03
1,011.00
0.58
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
953,016,177,663.56
0.05
1,676,539,338.07
0.06
254.00
0.15
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
1,012,162,473,294.66
0.05
2,444,193,617.83
0.09
512.00
0.30
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
599,594,466,006.82
0.03
1,418,120,678.93
0.05
425.00
0.25
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,191,055,888,141.29
0.10
5,138,537,640.92
0.19
1,261.00
0.73
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
3,526,473,596,439.34
0.17
5,943,733,342.80
0.22
2,000.00
1.15
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
2,102,599,371,876,300.00
100.00
2,719,609,848,391.34
100.00
173,274.00
100.00
1,906,003,515.05
100.00
16.00
100.00
T OT AL
111
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PT. Reasuransi MAIPARK Indonesia
NATIONAL AGGREGAT EXPOSURE, NATIONAL GROSS PREMIUM, NUMBER OF RISKS, CLAIM & CLAIM FREQUENCY BY PROVINCE As At 31/12/2015
UNDERWRITING YEAR POLICY STATUS
PROVINCE
: 2011 : 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
61,716,398,867,310.90
2.86
87,633,935,480.81
3.02
2,197.00
1.32
4,545,911,521.33
45.62
11.00
12.36
02. SUMATERA UTARA
IDN_SU
88,467,285,205,864.50
4.10
87,633,935,480.81
3.02
8,589.00
5.18
393,949,527.10
3.95
10.00
11.24
03. SUMATERA BARAT
IDN_SB
23,704,691,539,292.50
1.10
107,161,315,278.64
3.69
14,192.00
8.55
95,675,000.00
0.96
4.00
4.49
04. RIAU
IDN_RI
35,064,056,469,754.20
1.63
41,473,602,473.02
1.43
3,204.00
1.93
0.00
0.00
0.00
0.00
05. JAMBI
IDN_JA
8,231,659,638,051.55
0.38
35,256,215,244.00
1.21
1,334.00
0.80
0.00
0.00
0.00
0.00
06. SUMATERA SELATAN
IDN_SS
30,750,924,977,797.60
1.43
8,038,465,820.08
0.28
2,059.00
1.24
0.00
0.00
0.00
0.00
07. BENGKULU
IDN_BE
4,060,325,847,435.66
0.19
31,570,394,331.29
1.09
2,564.00
1.55
30,898,800.00
0.31
5.00
5.62
08. LAMPUNG
IDN_LA
27,534,812,464,501.00
1.28
7,255,605,295.58
0.25
2,956.00
1.78
0.00
0.00
0.00
0.00
09. KEP BANGKA-BELITUNG
IDN_BB
3,156,384,885,166.98
0.15
37,249,898,677.14
1.28
329.00
0.20
0.00
0.00
0.00
0.00
10. KEPULAUAN RIAU
IDN_KR
24,051,937,806,463.70
1.12
2,757,422,298.01
0.09
1,239.00
0.75
0.00
0.00
0.00
0.00
11. JAKARTA
IDN_JK
464,788,039,293,112.00
21.56
20,463,617,737.01
0.70
38,645.00
23.29
0.00
0.00
0.00
0.00
12. JAWA BARAT
IDN_JB
400,857,876,017,649.00
18.59
670,417,956,234.69
23.09
24,616.00
14.83
74,453,075.00
0.75
2.00
2.25
13. JAWA TENGAH
IDN_JT
121,725,177,084,954.00
5.65
549,545,427,071.44
18.93
9,484.00
5.72
0.00
0.00
0.00
0.00
14. DIY
IDN_YO
11,854,836,649,440.00
0.55
151,888,826,113.28
5.23
3,051.00
1.84
0.00
0.00
0.00
0.00
15. JAWA TIMUR
IDN_JI
387,941,546,339,995.00
17.99
17,756,951,036.21
0.61
13,350.00
8.05
0.00
0.00
0.00
0.00
16. BANTEN
IDN_BT
213,570,391,693,733.00
9.91
471,272,781,953.06
16.23
10,616.00
6.40
0.00
0.00
0.00
0.00
17. BALI
IDN_BA
43,280,980,532,299.20
2.01
297,642,452,109.76
10.25
7,026.00
4.23
4,817,794,672.90
48.35
56.00
62.92
18. NUSA TENGGARA BARAT
IDN_NB
3,077,047,054,149.34
0.14
60,354,817,500.68
2.08
1,365.00
0.82
0.00
0.00
0.00
0.00
19. NUSA TENGGARA TIMUR
IDN_NT
1,617,483,032,767.29
0.08
5,152,954,498.64
0.18
762.00
0.46
0.00
0.00
0.00
0.00
20. KALIMANTAN BARAT
IDN_KB
7,209,974,391,744.74
0.33
2,433,951,389.85
0.08
911.00
0.55
0.00
0.00
0.00
0.00
21. KALIMANTAN TENGAH
IDN_KT
12,214,732,033,229.00
0.57
6,292,796,630.20
0.22
637.00
0.38
0.00
0.00
0.00
0.00
22. KALIMANTAN SELATAN
IDN_KS
28,151,320,447,496.90
1.31
10,262,245,474.31
0.35
1,020.00
0.61
0.00
0.00
0.00
0.00
23. KALIMANTAN TIMUR
IDN_KI
75,544,577,879,790.50
3.50
23,762,331,278.15
0.82
3,159.00
1.90
0.00
0.00
0.00
0.00
24. SULAWESI UTARA
IDN_SA
20,475,241,127,098.30
0.95
63,327,410,591.57
2.18
2,449.00
1.48
0.00
0.00
0.00
0.00
25. SULAWESI TENGAH
IDN_ST
2,234,831,075,451.70
0.10
37,726,468,368.21
1.30
1,539.00
0.93
0.00
0.00
0.00
0.00
26. SULAWESI SELATAN
IDN_SN
24,508,942,520,664.60
1.14
3,453,309,420.21
0.12
2,955.00
1.78
6,662,800.00
0.07
1.00
1.12
27. SULAWESI TENGGARA
IDN_SG
9,114,245,475,615.48
0.42
24,634,050,796.95
0.85
541.00
0.33
0.00
0.00
0.00
0.00
28. GORONTALO
IDN_GO
12,799,702,686,629.60
0.59
10,519,505,924.99
0.36
1,157.00
0.70
0.00
0.00
0.00
0.00
29. SULAWESI BARAT
IDN_SR
953,016,177,663.56
0.04
25,429,339,114.68
0.88
239.00
0.14
0.00
0.00
0.00
0.00
30. MALUKU
IDN_MA
1,012,162,473,294.66
0.05
1,406,530,176.92
0.05
403.00
0.24
0.00
0.00
0.00
0.00
31. MALUKU UTARA
IDN_MU
599,594,466,006.82
0.03
1,761,141,005.57
0.06
430.00
0.26
0.00
0.00
0.00
0.00
32. PAPUA BARAT
IDN_PB
2,191,055,888,141.29
0.10
1,055,956,776.04
0.04
1,213.00
0.73
0.00
0.00
0.00
0.00
33. PAPUA
IDN_PA
3,526,473,596,439.34
0.16
1,055,956,776.04
0.04
1,709.00
1.03
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
2,155,987,725,639,000.00
100.00
2,903,647,568,357.84
100.00
165,940.00
100.00
9,965,345,396.33
100.00
89.00
100.00
T OT AL
112
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
:
113
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
F : Cum :
DESEMBER 2015
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
114
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
115
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
Wood
DESEMBER 2015
: 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** 116
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
117
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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.
118
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
Lampiran 3 / Attachment 3
ZONA ASURANSI GEMPA BUMI INDONESIA PROVINSI BALI
BANTEN
BENGKULU
D.I. YOGYAKARTA
DKI JAKARTA
GORONTALO
JAMBI
ZONA*
ZONA**
KAB. BADUNG
KOTA / KABUPATEN
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
119
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI JAMBI
JAWA BARAT
JAWA TENGAH
ZONA*
ZONA**
KAB. TANJUNG JABUNG TIMUR
KOTA / KABUPATEN
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
120
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI JAWA TENGAH
JAWA TIMUR
ZONA*
ZONA**
KAB. REMBANG
KOTA / KABUPATEN
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
121
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI JAWA TIMUR
KALIMANTAN BARAT
KALIMANTAN SELATAN
KALIMANTAN TENGAH
KALIMANTAN TIMUR
ZONA*
ZONA**
KAB. PACITAN
KOTA / KABUPATEN
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
122
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI KALIMANTAN TIMUR
KALIMANTAN UTARA
KEPULAUAN BANGKA BELITUNG
KEPULAUAN RIAU
LAMPUNG
MALUKU
ZONA*
ZONA**
KAB. KUTAI KARTANEGARA
KOTA / KABUPATEN
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
123
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI MALUKU
MALUKU UTARA
NANGGROE ACEH DARUSSALAM
NUSA TENGGARA BARAT
NUSA TENGGARA TIMUR
ZONA*
ZONA**
KAB. SERAM BAGIAN TIMUR
KOTA / KABUPATEN
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
124
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI NUSA TENGGARA TIMUR
PAPUA
PAPUA BARAT
ZONA*
ZONA**
KAB. MANGGARAI
KOTA / KABUPATEN
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
125
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
126
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
127
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
PROVINSI SUMAT ERA BARAT
SUMAT ERA SELAT AN
SUMAT ERA UT ARA
KOTA / KABUPATEN
ZONA*
ZONA**
KAB. PESISIR SELATAN
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
128
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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)
129
MAIPARK, Statistik, 12/2015
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
DESEMBER 2015
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
130
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, 12/2015
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
DESEMBER 2015
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 131
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, 12/2015
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
DESEMBER 2015
CRESTA ID**
CRESTA Description
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
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 132
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, 12/2015
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
DESEMBER 2015
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
133
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, 12/2015
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
DESEMBER 2015
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 134
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, 12/2015
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
DESEMBER 2015
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)
135
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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)
136
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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
137
MAIPARK, Statistik, 12/2015
PT REASURANSI MAIPARK INDONESIA
DESEMBER 2015
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)
138
MAIPARK, Statistik, 12/2015