graduation of the 2004-2008 lump sum investigation data

Graduation

of the

2004-2008

Lump Sum Investigation Data

Published

November 2012

Graduation Taskforce

Edward Fabrizio (Convenor)

John King

Kevin Lin

Brian Man

Shirley Su

Jill Withers

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Graduation of the 2004-2008 Lump Sum Investigation Data November 2012

1 Introduction

This report contains the following details in constructing the Graduated Tables based

on the FSC–KPMG Lump Sum Experience Investigation data for years 2004 to 2008:

a) Methodology

b) Graduated rates

c) Actual to Expected based on the Graduated Tables

Product types covered by this report are:

► Death only business

► Death with Rider business*

► TPD (standalone and accelerated)

► Trauma (standalone and accelerated)

* The Death with Rider data set includes any death benefit with a TPD, Trauma or both

trauma and TPD benefit attached.

DISCLAIMER

The graduated tables attached are not intended to represent “best estimate” assumptions

for any particular product in the market. They are based on the experience of a wide range

of products issued by several life insurance companies over a specified period of time.

Graduated tables therefore represent a benchmark upon which experience can be

measured against and therefore should not be used solely as the basis of setting pricing or

reserving assumptions without making appropriate adjustments.

There are many reasons why the experience of a particular product may vary from the

graduated tables. These may include range of benefits covered by any one specific

product (e.g. trauma), underwriting and claim approaches, target markets and trends in

experience over time.

Users of the tables should undertake their own investigations into how the experience of any

particular product will vary from these graduated tables, and use their professional

judgement in making adjustments as required.

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WARNING – Death with Rider Rates

The Death with Rider data is a combination of data for Death with TPD rider, Death with

Trauma rider and Death with Trauma and TPD rider. The 2007-2009 FSC-KPMG experience

investigations indicate that the Death with TPD rider experience may be higher than the

Death with Trauma rider or Death with Trauma and TPD rider experience.

The industry data indicates that for younger ages (up to 35) the Death with Rider rate plus

the TPD rate may be less than the Death Only rate. There may be a number of reasons why

this occurs including volatility due to small number of data volume at these ages, or that a

different class of life may purchase Death and TPD/Trauma cover compared to the class of

life that purchases death only cover.

Users of the tables should apply their own professional judgment and other relevant

information in making the appropriate adjustments to the tables for pricing of mortality of TPD

/ Trauma rider business. The FSC-KPMG reports would provide further information regarding

this relativity.

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2 Methodology

2.1 The Data

FSC-KPMG provided the insured lives claims and exposure data used to construct the

Graduated Tables. Data was provided on amounts as well as a policy count basis and

covered the period from 31 December 2003 to 31 December 2008.

The data provided for the graduated tables consisted of fully underwritten standard

lives covered under policy types (2) and (4) of the FSC-KPMG data set.

(2) Term Insurance with reviewable premiums, and

(4) Insurance riders to investment platforms (including mastertrusts)

Unlike previous graduated tables for Australia, this data set excludes any Whole of Life

or Endowment type policies.

Individual claim records were provided, and the data included admitted, pending and

denied claims. The claim file included claim notifications up to 31 March 2009 (i.e.

three months after 31 December 2008, the end of the investigation period).

Exposure files were summarised by product type, gender, smoker status, duration and

age. For TPD and Trauma records there was also an indicator for accelerated cover

versus standalone. TPD data also was further broken up into five occupational classes.

Exposure files provided were based on a census method, with policies inforce as at

31December of each year 2003 to 2008.

The data file did not include any company specific marker, and therefore the

taskforce could not compare experience of any particular company to any other.

The data provided was taken as is, and there was no additional checking or

adjustment of the data undertaken by the Graduation Taskforce (taskforce). To the

extent there are any errors in the underlying data set provided these would filter

through to the graduated rates.

In performing the graduation it was noted that in some cases there were

inconsistencies in the data – e.g. claims with no corresponding exposure, exposure with

negative durations, date issues with several claim records. However, there was no

reason to believe that these data issues would significantly alter the overall result in the

production of the graduated rates.

For TPD, data was provided by occupation class, but the taskforce felt that attempting

to provide occupational class loadings given the volume of data would be misleading.

For further information on the underlying data, readers are advised to read the FSC-

KPMG reports.

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2.2 Calculating the Exposure

The data provided inforce exposure as at 31 December of each year. The age

definition of the data was age last as at 31 December. For purposes of the graduation

the age definition was adjusted to be age last at last policy anniversary. The taskforce

believed that this was the most appropriate definition on the basis that nearly all

companies in the market charge premiums based on age as at last policy anniversary.

The exposure files provided were adjusted to calculate the exposure over the 2004 to

2008 period on this revised age definition. This was done by splitting each exposure

record into two parts, with equal weighting given to age as per the file, and age – 1.

Exposure for each age/year/duration was taken at 0.5 x inforce as at start of year + 0.5

x inforce as at end of year. This was then summed up for the 5 years of the

investigation period.

Exposure was derived on both a count and amount basis.

2.3 Calculating the Claims

The data set included individual claim records and from this data the age at last policy

anniversary could be derived. The claims data included admitted claims, pending

claims and denied claims.

Note that for trauma, claims were counted as 1 claim irrespective of whether the claim

was a partial payment or a full payment. i.e. the taskforce did not adjust count for

partial claims. Approximately 3% of claims had a partial payout, and therefore the

taskforce does not believe that adjusting the claims for partial payment is required as it

would not make a significant difference to the end result.

2.3.1 Pending Claims

Pending claims were allowed within the total claims figure by adjusting the

number/amount of pending claims by an assumed proportion that would be expected

to develop into admitted claims. This ratio was derived by both count and amount of

claims by comparing the ratio of admitted claims to the sum of admitted claims +

denied claims:

Pending Adjustment Factor = Admitted Claims / (Admitted Claims + Declined Claims)

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The pending adjustment factor was derived by product type, but other than that, the

ratio was an aggregate number by gender, smoker status, age and duration. Upon

investigation, it was determined that there was not a significant variation in the

pending adjustment factor by gender, and to split it by age and/or duration would

lead to some extreme volatility in some of the factors, which was felt to be

unwarranted.

2.3.2 Incurred But Not Reported (IBNR) Claims

The claim data provided included notifications up to 3 months after the data cut off of

31st

IBNR’s were done separately on an amounts and count basis and by product type.

Other than by product type, the chain ladder was applied to aggregate data and not

differentiated by gender, smoker status age or duration.

Dec 2008. To allow for claim notification that could be expected after this date an

additional IBNR allowance was calculated. This was done using the chain ladder

method to determine the monthly claims development ratios and IBNR factors. The

IBNR factor was then applied to each individual claim.

As could be expected, for death covers the allowance for IBNR’s is approximately 2%

of the overall claims, whilst for TPD it is around 17% (given the long delay periods in

notification of TPD claims). For trauma the IBNR’s add approximately 5% to the claims

figures.

2.3.3 Total Claims

Total claims, on both a count and amount basis, was then defined as the sum of:

► Claims Paid, and

► Claims Pending x Pending Adjustment Factor, and

► IBNR

2.4 Graduation

The data, exposure and total claims, was grouped into 5 year age bands split by

product and gender.

Graduation was performed by cubic splines. Knots were selected for the mid-point of

each five year age group such that the A/E was close to 100% for each age group as

well as overall.

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The graduation was performed on the data by count. The taskforce did examine

performing graduation by amount but it was apparent the additional volatility of using

amounts data would result in difficulty in obtaining a smooth graduated curve –

especially for females and at the younger/older ages.

Alternative graduation methods could be used, but cubic splines were adopted as:

1) simple method to apply

2) allowed for easy feedback loops in adjusting the knots to fit the experience

3) ability to manually set knots for the younger/older ages where data was scarce

4) ability to over-ride knots to produce smooth set of rates

At the younger and older ages there was little, or no, data upon which to produce

reliable rates. The following methods were used to extend the tables for the younger

and older ages.

Death

Population mortality tables ALT0507 was used for ages up to 15 and for ages over 85.

The graduated rates from the cubic spline method were merged into the population

tables at the younger / older ages to create a smooth transition. This was

accomplished by creating knots for the cublic spline graduation at various age groups.

Death with Rider

The cubic spline graduation was merged into a factor of the graduated death rates.

For ages over 65 it was merged into 50% of the graduated death only rates, whist at

the younger ages it was set at 100% of death only rates at age 1, reducing to 60% at

age 16. The value of 50% for the older ages was selected on the basis that over the

age range where data was available the graduated rates for death with rider were on

average 50% of rates for death only. Users of the tables should be aware that actual

experience at the higher ages could be significantly different to this assumption. The

taskforce did not conduct any investigations of other data to support this assumption.

Examination of the results by rider type indicate that death with tpd rider has higher

mortality results that for death with trauma rider (significantly for females), and that

death with both a TPD and Trauma rider has substantially lower mortality. Care should

be taken in the interpretation of these results given that there may be other factors

influencing the mortality of death with riders (e.g. occupation class and impact of

underwriting being potentially more stringent on death with trauma policies).

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TPD

For the younger ages the graduated rates for under age 30 was set at the rate as at

age 30. For ages above 60 the rates was set to roughly double with each 5 year age

increase such that the rate at age 100 was set at 0.500.

Note: Rates at the older ages (>65) and at the younger ages (<30) are purely guesses

and not based on any actual claim data. Users of the tables should be aware that

actual experience at the higher ages could be significantly different to this assumption.

As part of the terms of reference for the taskforce, a graduated table covering the full

age spectrum was required, and for this reason the taskforce has suggested rates for

these higher ages.

Trauma

The cubic spline graduation was merged into a factor of the AC04 tables of CMI

Working paper 50 (http://www.actuaries.org.uk/research-and-resources/pages/cmi-

working-paper-50). These tables are graduated rates for critical illness experience in the

UK. For ages over 65, the graduated rates were merged into 175% of the AC04 tables

for males and 150% for females. At the younger ages rates were assumed flat rate up

to age 15, blending into the graduated rates thereafter.

Note that rates at younger ages are notional as there was no data upon which to rely.

Although exposure records were provided at the younger ages, there were no

corresponding claim records.

The value of 175% for males, 150% for females, for the older ages was selected on the

basis that over the age range where data was available the graduated rates for

trauma were averaging out to be 175%/150% of the AC04 rates.

Users of the tables should be aware that actual experience at the higher ages could be

significantly different to this assumption.

Users of the tables should also be aware that trauma products do vary significantly in

the market, with various benefits being offered as well as changes in benefits by age.

The graduated tables are based on average experience of a range of products, and

therefore do not represent the experience of any one particular product.

http://www.actuaries.org.uk/research-and-resources/pages/cmi-working-paper-50�

http://www.actuaries.org.uk/research-and-resources/pages/cmi-working-paper-50�

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Smoker / Non-smoker

The first run of the graduation was done using aggregate rates.

Based on the graduated rates, an A/E analysis by product type, gender and age

group was then examined for smokers only. Based on these A/E ratios, a smoker

loading by product type, gender and age was derived.

For Death, Death with Rider and TPD, the taskforce felt that the same smoker/non-

smoker ratios could be used.

Based on the data, the smoker loading was set at 2 x non-smoker rates for males, and

1.7 x non-smoker rates for females for ages up to 75. Thereafter the loading was

reduced in a linear fashion down to 1.25 x at age 100. These loadings appeared to

provide an adequate fit to the experience over most age ranges. For TPD it should be

noted that although the loading appeared reasonable, the lack of smoker data

means the results are not credible by age, although the overall aggregate result is.

For trauma business it was found that the smoker loading is significantly lower than that

for death business. A similar finding/result was also evidenced in the AC04 tables of the

CMI. It is unclear why this result exists, but the data supporting this finding is substantial.

For males, the smoker loading was set at 1.5x non-smoker trauma rates up to age 40,

increasing to 2x at age 65. The mortality smoker ratios were used thereafter. For

females, the smoker loading is 1.1x non-smoker trauma rates up to age 40, increasing

to 1.7x at age 65, and then following the mortality ratios thereafter.

Note: the smoker ratios at the older ages are not based on statistical data, but were set

based on the opinions of the taskforce. Alternative factors could equally apply (i.e.

maintain smoker loading of 2x for males and 1.7x for females for the full age range).

Examination of overseas tables indicate that smoker ratios drop at advanced ages,

and therefore the taskforce followed a similar pattern for the graduated tables.

Smoker / Non-smoker proportions by product type, gender and age were derived

based on the exposure data. This ratio by age was then smoothed using a cublic

spline method.

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Once the smoker loading ratio and the proportion of smokers was derived, the

aggregate graduated rates could then be split in to non-smoker and smoker rates

using the following formula:

Non-smoker rate = Aggregate Rate

Proportion non-smoker + Proportion smoker x smoker

loading

A revised A/E analysis was then conducted using the smoker/non-smoker differentiate

rates applied to the exposure records by smoker status, and based on this the knots

for the graduation were adjusted to achieve a result close to 100% A/E (smoker/non-

smoker combined) for each of the age groups.

Selection

The graduation of the data was done using all durations exposure and claims. The

taskforce felt that this provided the largest exposure in order to obtain a smooth and

reliable graduation. Based on the A/E analysis, experience at the early durations was

then examined to investigate selection effects.

For mortality a two year selection effect was evident. Selection factors chosen were

40% in first year of policy issue and 20% in second year. For females the selection

effect on a count basis in year 0 of the policy was higher than that for males, 55%,

whilst in the second year it was the same. However, on an amounts basis it appeared

to be the same. The taskforce felt that using the same factor for males and females

was adequate.

For mortality with riders a similar result as mortality was evident and therefore the

same selection factors were applied.

For TPD the selection effects were slightly stronger than for mortality, 45% in year 0 and

30% in year 1. Note however that the volume of TPD data is not large and therefore

the selection pattern was not very clear. There is evidence for a longer selection

period, five years, but the observed pattern is volatile and therefore the taskforce felt

using a two year period was warranted until more data was available.

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For trauma business there was no observable selection effect apart from a 30% factor

in first year of policy issue. The taskforce felt that this is mainly driven by the three

month waiting period applying to most trauma policies.

The taskforce could not find any evidence to suggest that selection factors varied

substantially by age. i.e. A/E ratios for policies at duration 0 and 1 on the graduated

rates with the proposed selection adjustments did not vary significantly by age and

there was no observable trend that selection effects either increased or reduced with

older ages at entry versus younger ages at entry.

Acceleration versus Standalone

For TPD and Trauma business the graduated rates are based on combined

acceleration and standalone versions of the product. Less than 10% of the TPD

exposure and 25% of the trauma exposure is on standalone basis. The attached

tables show A/E ratios by version for each of these products compared to the

graduated rates.

For TPD the A/E analysis would indicate standalone business has better experience

than accelerated products, although based on a small volume of data. For trauma

similar results are shown for males, although for females standalone claims appear to

run at 10% higher than accelerated products.

Given the volume of data and the uncertainty around why there should be a

difference, the taskforce is not recommending any factor to apply to the tables by

product type.

TPD Occupation Class

Although data was provided for TPD exposure and claims to split by occupation class,

the taskforce did not undertake to attempt to derive occupational rating factors. The

volume of claims for the heavier occupation classes was too small to derive reliable

conclusions.

Amount vs Count

The graduated rates are derived by a claim count basis. The attached tables

provide an analysis by claim amount versus the graduated rates.

For mortality, by amount there appears to be a stronger selection effect than by

count, but the difference disappears for duration 5+, and there is some evidence that

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by amount results are worse than by count at the longer durations. The additional

selection effect does not follow any discernible trend, i.e. by amount experience

appears to be 20% lower than by count for each of the first five years after policy

issue, and then the effect disappears.

For death with rider, a similar effect as per death only is apparent, although the

difference is more in the order of 10% for first 5 policy years..

For TPD, amounts weighted experience appears worse than on a count basis by 10%

for all durations, and significantly worse at longer durations.

For trauma there is some evidence of worse experience for larger sums insured, but it

is minor and appears to impact female experience more than that of males.

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3 Graduated Rates

Death Only Selection Effect Year 0 60%Year 1 80%Year 2+ 100%

Age last at Males Femaleslast pol anniversary Nonsmoker Smoker Aggregate Nonsmoker Smoker Aggregate

0 0.00523 0.01046 0.00523 0.00440 0.00748 0.004401 0.00282 0.00564 0.00282 0.00236 0.00401 0.002362 0.00034 0.00068 0.00034 0.00026 0.00044 0.000263 0.00023 0.00046 0.00023 0.00017 0.00029 0.000174 0.00016 0.00032 0.00016 0.00014 0.00024 0.000145 0.00014 0.00028 0.00014 0.00012 0.00020 0.000126 0.00013 0.00026 0.00013 0.00011 0.00019 0.000117 0.00012 0.00024 0.00012 0.00010 0.00017 0.000108 0.00011 0.00022 0.00011 0.00009 0.00015 0.000099 0.00010 0.00020 0.00010 0.00008 0.00014 0.00008

10 0.00010 0.00020 0.00010 0.00007 0.00012 0.0000711 0.00011 0.00022 0.00011 0.00007 0.00012 0.0000712 0.00012 0.00024 0.00012 0.00008 0.00014 0.0000813 0.00013 0.00026 0.00013 0.00009 0.00015 0.0000914 0.00015 0.00030 0.00015 0.00012 0.00020 0.0001215 0.00019 0.00038 0.00019 0.00016 0.00027 0.0001616 0.00028 0.00056 0.00029 0.00020 0.00034 0.0002017 0.00041 0.00082 0.00043 0.00023 0.00039 0.0002418 0.00045 0.00090 0.00048 0.00025 0.00043 0.0002719 0.00053 0.00106 0.00058 0.00025 0.00043 0.0002820 0.00060 0.00120 0.00067 0.00024 0.00041 0.0002821 0.00061 0.00122 0.00070 0.00024 0.00041 0.0002822 0.00060 0.00120 0.00070 0.00022 0.00037 0.0002723 0.00057 0.00114 0.00069 0.00021 0.00036 0.0002624 0.00055 0.00110 0.00068 0.00019 0.00032 0.0002425 0.00053 0.00106 0.00066 0.00017 0.00029 0.0002226 0.00050 0.00100 0.00064 0.00016 0.00027 0.0002127 0.00048 0.00096 0.00062 0.00016 0.00027 0.0002128 0.00046 0.00092 0.00060 0.00017 0.00029 0.0002229 0.00045 0.00090 0.00058 0.00019 0.00032 0.0002430 0.00043 0.00086 0.00056 0.00021 0.00036 0.0002631 0.00042 0.00084 0.00055 0.00023 0.00039 0.0002932 0.00041 0.00082 0.00054 0.00025 0.00043 0.0003133 0.00040 0.00080 0.00053 0.00027 0.00046 0.0003334 0.00041 0.00082 0.00053 0.00030 0.00051 0.0003635 0.00042 0.00084 0.00054 0.00032 0.00054 0.0003836 0.00043 0.00086 0.00055 0.00034 0.00058 0.0004037 0.00045 0.00090 0.00058 0.00037 0.00063 0.0004238 0.00049 0.00098 0.00062 0.00040 0.00068 0.0004539 0.00053 0.00106 0.00067 0.00043 0.00073 0.0004940 0.00058 0.00116 0.00073 0.00047 0.00080 0.0005341 0.00063 0.00126 0.00078 0.00051 0.00087 0.0005742 0.00068 0.00136 0.00084 0.00055 0.00094 0.0006143 0.00074 0.00148 0.00090 0.00059 0.00100 0.0006544 0.00079 0.00158 0.00096 0.00063 0.00107 0.0007045 0.00086 0.00172 0.00103 0.00069 0.00117 0.0007646 0.00093 0.00186 0.00111 0.00075 0.00128 0.0008347 0.00103 0.00206 0.00122 0.00084 0.00143 0.0009248 0.00115 0.00230 0.00135 0.00093 0.00158 0.0010249 0.00128 0.00256 0.00150 0.00105 0.00179 0.0011550 0.00142 0.00284 0.00166 0.00117 0.00199 0.00128

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51 0.00156 0.00312 0.00182 0.00129 0.00219 0.0014152 0.00172 0.00344 0.00200 0.00139 0.00236 0.0015253 0.00189 0.00378 0.00219 0.00149 0.00253 0.0016354 0.00208 0.00416 0.00240 0.00157 0.00267 0.0017255 0.00230 0.00460 0.00264 0.00166 0.00282 0.0018156 0.00255 0.00510 0.00292 0.00179 0.00304 0.0019557 0.00286 0.00572 0.00326 0.00196 0.00333 0.0021358 0.00320 0.00640 0.00364 0.00219 0.00372 0.0023859 0.00358 0.00716 0.00405 0.00248 0.00422 0.0026960 0.00397 0.00794 0.00447 0.00284 0.00483 0.0030861 0.00438 0.00876 0.00491 0.00327 0.00556 0.0035362 0.00479 0.00958 0.00535 0.00375 0.00638 0.0040463 0.00525 0.01050 0.00583 0.00428 0.00728 0.0046064 0.00579 0.01158 0.00640 0.00486 0.00826 0.0052165 0.00646 0.01292 0.00711 0.00549 0.00933 0.0058766 0.00732 0.01464 0.00801 0.00616 0.01047 0.0065767 0.00842 0.01684 0.00917 0.00691 0.01175 0.0073568 0.00977 0.01954 0.01058 0.00773 0.01314 0.0081969 0.01136 0.02272 0.01224 0.00865 0.01471 0.0091370 0.01321 0.02642 0.01416 0.00967 0.01644 0.0101771 0.01535 0.03070 0.01638 0.01083 0.01841 0.0113572 0.01780 0.03560 0.01891 0.01216 0.02067 0.0127073 0.02048 0.04096 0.02166 0.01369 0.02327 0.0142574 0.02341 0.04682 0.02467 0.01547 0.02630 0.0160575 0.02674 0.05348 0.02808 0.01751 0.02977 0.0181276 0.03063 0.06034 0.03202 0.01985 0.03339 0.0204877 0.03507 0.06804 0.03652 0.02256 0.03754 0.0232178 0.04010 0.07659 0.04162 0.02568 0.04227 0.0263679 0.04575 0.08601 0.04734 0.02930 0.04770 0.0300280 0.05206 0.09631 0.05373 0.03347 0.05389 0.0342381 0.05902 0.10742 0.06077 0.03837 0.06109 0.0391882 0.06611 0.11834 0.06791 0.04385 0.06902 0.0447183 0.07386 0.12999 0.07572 0.05014 0.07802 0.0510684 0.08250 0.14273 0.08440 0.05734 0.08819 0.0583185 0.09209 0.15655 0.09402 0.06550 0.09956 0.0665286 0.10269 0.17149 0.10464 0.07471 0.11221 0.0757787 0.11434 0.18752 0.11628 0.08501 0.12615 0.0861088 0.12695 0.20439 0.12885 0.09645 0.14140 0.0975689 0.14029 0.22166 0.14213 0.10907 0.15793 0.1101890 0.15415 0.23893 0.15589 0.12277 0.17556 0.1238691 0.16829 0.25580 0.16991 0.13735 0.19394 0.1384092 0.18253 0.27197 0.18399 0.15259 0.21271 0.1535893 0.19664 0.28709 0.19793 0.16830 0.23158 0.1692094 0.21045 0.30094 0.21154 0.18427 0.25024 0.1850795 0.22375 0.31325 0.22465 0.20032 0.26843 0.2010096 0.23641 0.32388 0.23711 0.21626 0.28590 0.2168197 0.24826 0.33267 0.24876 0.23194 0.30245 0.2323698 0.25916 0.33950 0.25948 0.24722 0.31792 0.2475099 0.26897 0.34428 0.26912 0.26196 0.33217 0.26210

100 0.27786 0.34733 0.27786 0.27603 0.34504 0.27603

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Death With Rider Selection Effect Year 0 60%Year 1 80%Year 2+ 100%


0 0.00523 0.01046 0.00523 0.00440 0.00748 0.004401 0.00268 0.00536 0.00268 0.00224 0.00381 0.002242 0.00031 0.00062 0.00031 0.00023 0.00039 0.000233 0.00020 0.00040 0.00020 0.00014 0.00024 0.000144 0.00013 0.00026 0.00013 0.00011 0.00019 0.000115 0.00011 0.00022 0.00011 0.00009 0.00015 0.000096 0.00009 0.00018 0.00009 0.00008 0.00014 0.000087 0.00008 0.00016 0.00008 0.00007 0.00012 0.000078 0.00007 0.00014 0.00007 0.00006 0.00010 0.000069 0.00007 0.00014 0.00007 0.00005 0.00009 0.00005

10 0.00007 0.00014 0.00007 0.00005 0.00009 0.0000511 0.00007 0.00014 0.00007 0.00005 0.00009 0.0000512 0.00008 0.00016 0.00008 0.00005 0.00009 0.0000513 0.00008 0.00016 0.00008 0.00006 0.00010 0.0000614 0.00009 0.00018 0.00009 0.00007 0.00012 0.0000715 0.00012 0.00024 0.00012 0.00010 0.00017 0.0001016 0.00017 0.00034 0.00017 0.00012 0.00020 0.0001217 0.00021 0.00042 0.00022 0.00014 0.00024 0.0001418 0.00023 0.00046 0.00024 0.00016 0.00027 0.0001619 0.00025 0.00050 0.00027 0.00016 0.00027 0.0001720 0.00025 0.00050 0.00027 0.00016 0.00027 0.0001721 0.00025 0.00050 0.00028 0.00016 0.00027 0.0001722 0.00024 0.00048 0.00027 0.00015 0.00026 0.0001623 0.00022 0.00044 0.00025 0.00015 0.00026 0.0001624 0.00021 0.00042 0.00024 0.00013 0.00022 0.0001425 0.00019 0.00038 0.00022 0.00012 0.00020 0.0001326 0.00019 0.00038 0.00022 0.00011 0.00019 0.0001227 0.00018 0.00036 0.00022 0.00011 0.00019 0.0001228 0.00018 0.00036 0.00022 0.00011 0.00019 0.0001229 0.00019 0.00038 0.00023 0.00011 0.00019 0.0001230 0.00021 0.00042 0.00025 0.00012 0.00020 0.0001331 0.00023 0.00046 0.00027 0.00013 0.00022 0.0001432 0.00024 0.00048 0.00028 0.00013 0.00022 0.0001433 0.00026 0.00052 0.00030 0.00013 0.00022 0.0001434 0.00027 0.00054 0.00031 0.00014 0.00024 0.0001535 0.00028 0.00056 0.00032 0.00014 0.00024 0.0001536 0.00029 0.00058 0.00033 0.00014 0.00024 0.0001537 0.00030 0.00060 0.00034 0.00014 0.00024 0.0001538 0.00031 0.00062 0.00035 0.00015 0.00026 0.0001639 0.00032 0.00064 0.00036 0.00016 0.00027 0.0001740 0.00034 0.00068 0.00039 0.00017 0.00029 0.0001841 0.00036 0.00072 0.00041 0.00019 0.00032 0.0002042 0.00040 0.00080 0.00045 0.00021 0.00036 0.0002243 0.00044 0.00088 0.00050 0.00024 0.00041 0.0002544 0.00049 0.00098 0.00055 0.00026 0.00044 0.0002845 0.00054 0.00108 0.00061 0.00031 0.00053 0.0003346 0.00059 0.00118 0.00066 0.00036 0.00061 0.0003847 0.00066 0.00132 0.00073 0.00041 0.00070 0.0004448 0.00071 0.00142 0.00079 0.00047 0.00080 0.0005049 0.00079 0.00158 0.00087 0.00054 0.00092 0.0005750 0.00086 0.00172 0.00095 0.00061 0.00104 0.00064

of 29



51 0.00096 0.00192 0.00105 0.00065 0.00111 0.0006952 0.00106 0.00212 0.00116 0.00069 0.00117 0.0007353 0.00118 0.00236 0.00128 0.00072 0.00122 0.0007654 0.00130 0.00260 0.00141 0.00074 0.00126 0.0007855 0.00142 0.00284 0.00153 0.00078 0.00133 0.0008256 0.00151 0.00302 0.00163 0.00086 0.00146 0.0009057 0.00160 0.00320 0.00172 0.00098 0.00167 0.0010358 0.00169 0.00338 0.00181 0.00116 0.00197 0.0012159 0.00178 0.00356 0.00190 0.00139 0.00236 0.0014560 0.00187 0.00374 0.00200 0.00166 0.00282 0.0017361 0.00202 0.00404 0.00215 0.00195 0.00332 0.0020362 0.00222 0.00444 0.00236 0.00225 0.00383 0.0023463 0.00248 0.00496 0.00264 0.00253 0.00430 0.0026364 0.00284 0.00568 0.00301 0.00281 0.00478 0.0029165 0.00329 0.00658 0.00349 0.00307 0.00522 0.0031866 0.00379 0.00758 0.00401 0.00318 0.00541 0.0032967 0.00434 0.00868 0.00459 0.00357 0.00607 0.0036868 0.00502 0.01004 0.00529 0.00398 0.00677 0.0041069 0.00581 0.01162 0.00612 0.00444 0.00755 0.0045770 0.00674 0.01348 0.00708 0.00495 0.00842 0.0050971 0.00781 0.01562 0.00819 0.00554 0.00942 0.0056872 0.00904 0.01808 0.00946 0.00620 0.01054 0.0063573 0.01037 0.02074 0.01083 0.00697 0.01185 0.0071374 0.01184 0.02368 0.01234 0.00786 0.01336 0.0080375 0.01350 0.02700 0.01404 0.00887 0.01508 0.0090676 0.01545 0.03044 0.01601 0.01004 0.01689 0.0102477 0.01767 0.03428 0.01826 0.01140 0.01897 0.0116178 0.02020 0.03858 0.02081 0.01296 0.02133 0.0131879 0.02304 0.04332 0.02367 0.01478 0.02406 0.0150180 0.02623 0.04853 0.02687 0.01687 0.02716 0.0171281 0.02974 0.05413 0.03039 0.01933 0.03077 0.0195982 0.03331 0.05962 0.03396 0.02208 0.03475 0.0223683 0.03721 0.06549 0.03786 0.02523 0.03926 0.0255384 0.04155 0.07188 0.04220 0.02884 0.04436 0.0291685 0.04636 0.07881 0.04701 0.03292 0.05004 0.0332686 0.05167 0.08629 0.05232 0.03753 0.05637 0.0378987 0.05749 0.09428 0.05814 0.04267 0.06332 0.0430588 0.06377 0.10267 0.06443 0.04838 0.07093 0.0487889 0.07041 0.11125 0.07107 0.05467 0.07916 0.0550990 0.07730 0.11982 0.07795 0.06150 0.08795 0.0619391 0.08432 0.12817 0.08496 0.06877 0.09710 0.0692092 0.09139 0.13617 0.09200 0.07636 0.10645 0.0767993 0.09840 0.14366 0.09897 0.08419 0.11585 0.0846094 0.10525 0.15051 0.10577 0.09216 0.12515 0.0925495 0.11188 0.15663 0.11233 0.10016 0.13421 0.1005096 0.11820 0.16193 0.11856 0.10812 0.14293 0.1084197 0.12411 0.16631 0.12438 0.11596 0.15121 0.1161898 0.12956 0.16972 0.12974 0.12360 0.15895 0.1237599 0.13448 0.17213 0.13456 0.13097 0.16607 0.13105

100 0.13893 0.17366 0.13893 0.13802 0.17253 0.13802

of 29


TPD Selection Effect Year 0 55%Year 1 70%Year 2+ 100%


0 0.00016 0.00032 0.00016 0.00010 0.00017 0.000101 0.00016 0.00032 0.00016 0.00010 0.00017 0.000102 0.00016 0.00032 0.00016 0.00010 0.00017 0.000103 0.00016 0.00032 0.00016 0.00010 0.00017 0.000104 0.00016 0.00032 0.00016 0.00010 0.00017 0.000105 0.00016 0.00032 0.00016 0.00010 0.00017 0.000106 0.00016 0.00032 0.00016 0.00010 0.00017 0.000107 0.00016 0.00032 0.00016 0.00010 0.00017 0.000108 0.00016 0.00032 0.00016 0.00010 0.00017 0.000109 0.00016 0.00032 0.00016 0.00010 0.00017 0.00010

10 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001011 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001012 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001013 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001014 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001015 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001016 0.00016 0.00032 0.00016 0.00010 0.00017 0.0001017 0.00015 0.00030 0.00016 0.00010 0.00017 0.0001018 0.00015 0.00030 0.00016 0.00010 0.00017 0.0001019 0.00015 0.00030 0.00016 0.00010 0.00017 0.0001020 0.00014 0.00028 0.00016 0.00009 0.00015 0.0001021 0.00014 0.00028 0.00016 0.00009 0.00015 0.0001022 0.00014 0.00028 0.00016 0.00009 0.00015 0.0001023 0.00014 0.00028 0.00016 0.00009 0.00015 0.0001024 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001025 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001026 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001027 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001028 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001029 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001030 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001031 0.00013 0.00026 0.00016 0.00009 0.00015 0.0001032 0.00014 0.00028 0.00017 0.00010 0.00017 0.0001133 0.00014 0.00028 0.00017 0.00010 0.00017 0.0001134 0.00015 0.00030 0.00018 0.00011 0.00019 0.0001235 0.00016 0.00032 0.00019 0.00012 0.00020 0.0001336 0.00017 0.00034 0.00020 0.00012 0.00020 0.0001337 0.00020 0.00040 0.00023 0.00013 0.00022 0.0001438 0.00022 0.00044 0.00025 0.00015 0.00026 0.0001639 0.00025 0.00050 0.00029 0.00016 0.00027 0.0001740 0.00028 0.00056 0.00032 0.00018 0.00031 0.0001941 0.00032 0.00064 0.00036 0.00021 0.00036 0.0002242 0.00034 0.00068 0.00039 0.00024 0.00041 0.0002643 0.00038 0.00076 0.00043 0.00029 0.00049 0.0003144 0.00041 0.00082 0.00046 0.00034 0.00058 0.0003645 0.00043 0.00086 0.00049 0.00040 0.00068 0.0004346 0.00046 0.00092 0.00052 0.00047 0.00080 0.0005047 0.00049 0.00098 0.00055 0.00055 0.00094 0.0005848 0.00053 0.00106 0.00059 0.00062 0.00105 0.0006649 0.00058 0.00116 0.00065 0.00069 0.00117 0.0007350 0.00066 0.00132 0.00074 0.00076 0.00129 0.00081

of 29



51 0.00077 0.00154 0.00086 0.00082 0.00139 0.0008752 0.00091 0.00182 0.00101 0.00088 0.00150 0.0009353 0.00108 0.00216 0.00120 0.00093 0.00158 0.0009854 0.00129 0.00258 0.00142 0.00099 0.00168 0.0010555 0.00152 0.00304 0.00167 0.00106 0.00180 0.0011256 0.00177 0.00354 0.00194 0.00116 0.00197 0.0012257 0.00203 0.00406 0.00222 0.00127 0.00216 0.0013458 0.00232 0.00464 0.00253 0.00142 0.00241 0.0015059 0.00263 0.00526 0.00286 0.00162 0.00275 0.0017160 0.00296 0.00592 0.00321 0.00185 0.00315 0.0019561 0.00332 0.00664 0.00359 0.00214 0.00364 0.0022562 0.00373 0.00746 0.00402 0.00246 0.00418 0.0025963 0.00418 0.00836 0.00450 0.00283 0.00481 0.0029864 0.00472 0.00944 0.00506 0.00327 0.00556 0.0034365 0.00531 0.01062 0.00568 0.00376 0.00639 0.0039466 0.00600 0.01200 0.00640 0.00432 0.00734 0.0045267 0.00679 0.01358 0.00722 0.00497 0.00845 0.0052068 0.00768 0.01536 0.00815 0.00572 0.00972 0.0059769 0.00872 0.01744 0.00922 0.00658 0.01119 0.0068570 0.00989 0.01978 0.01043 0.00757 0.01287 0.0078771 0.01125 0.02250 0.01183 0.00872 0.01482 0.0090472 0.01280 0.02560 0.01342 0.01002 0.01703 0.0103773 0.01458 0.02916 0.01524 0.01155 0.01964 0.0119274 0.01661 0.03322 0.01732 0.01329 0.02259 0.0136975 0.01892 0.03784 0.01968 0.01531 0.02603 0.0157476 0.02159 0.04253 0.02237 0.01764 0.02967 0.0180977 0.02465 0.04782 0.02546 0.02032 0.03381 0.0207978 0.02820 0.05386 0.02903 0.02341 0.03853 0.0238979 0.03233 0.06078 0.03319 0.02695 0.04387 0.0274580 0.03712 0.06867 0.03801 0.03098 0.04988 0.0315081 0.04272 0.07775 0.04364 0.03558 0.05664 0.0361282 0.04920 0.08807 0.05015 0.04087 0.06433 0.0414383 0.05665 0.09970 0.05763 0.04698 0.07310 0.0475784 0.06513 0.11267 0.06614 0.05406 0.08314 0.0546885 0.07470 0.12699 0.07575 0.06225 0.09462 0.0629086 0.08548 0.14275 0.08656 0.07174 0.10775 0.0724287 0.09784 0.16046 0.09896 0.08268 0.12270 0.0834088 0.11228 0.18077 0.11345 0.09518 0.13953 0.0959489 0.12928 0.20426 0.13050 0.10937 0.15837 0.1101790 0.14941 0.23159 0.15068 0.12535 0.17925 0.1261991 0.17334 0.26348 0.17466 0.14331 0.20235 0.1441892 0.20101 0.29950 0.20236 0.16393 0.22852 0.1648293 0.23213 0.33891 0.23348 0.18802 0.25872 0.1889294 0.26642 0.38098 0.26773 0.21641 0.29388 0.2173095 0.30341 0.42477 0.30462 0.25006 0.33508 0.2509196 0.34192 0.46843 0.34297 0.29002 0.38341 0.2908097 0.38131 0.51096 0.38214 0.33590 0.43801 0.3365598 0.42108 0.55161 0.42165 0.38682 0.49745 0.3873099 0.46195 0.59130 0.46224 0.43533 0.55200 0.43559

100 0.50000 0.62500 0.50000 0.50000 0.62500 0.50000

of 29


Trauma Selection Effect Year 0 70%Year 1 100%Year 2+ 100%


0 0.00050 0.00075 0.00050 0.00030 0.00033 0.000301 0.00050 0.00075 0.00050 0.00030 0.00033 0.000302 0.00050 0.00075 0.00050 0.00030 0.00033 0.000303 0.00050 0.00075 0.00050 0.00030 0.00033 0.000304 0.00050 0.00075 0.00050 0.00030 0.00033 0.000305 0.00050 0.00075 0.00050 0.00030 0.00033 0.000306 0.00050 0.00075 0.00050 0.00030 0.00033 0.000307 0.00050 0.00075 0.00050 0.00030 0.00033 0.000308 0.00050 0.00075 0.00050 0.00030 0.00033 0.000309 0.00050 0.00075 0.00050 0.00030 0.00033 0.00030

10 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003011 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003012 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003013 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003014 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003015 0.00050 0.00075 0.00050 0.00030 0.00033 0.0003016 0.00051 0.00077 0.00051 0.00030 0.00033 0.0003017 0.00051 0.00077 0.00052 0.00030 0.00033 0.0003018 0.00052 0.00078 0.00053 0.00030 0.00033 0.0003019 0.00053 0.00080 0.00055 0.00030 0.00033 0.0003020 0.00055 0.00083 0.00057 0.00031 0.00034 0.0003121 0.00057 0.00086 0.00060 0.00032 0.00035 0.0003222 0.00062 0.00093 0.00065 0.00035 0.00039 0.0003523 0.00066 0.00099 0.00070 0.00039 0.00043 0.0003924 0.00069 0.00104 0.00074 0.00045 0.00050 0.0004525 0.00073 0.00110 0.00078 0.00050 0.00055 0.0005126 0.00075 0.00113 0.00081 0.00057 0.00063 0.0005827 0.00075 0.00113 0.00081 0.00063 0.00069 0.0006428 0.00073 0.00110 0.00079 0.00070 0.00077 0.0007129 0.00070 0.00105 0.00076 0.00076 0.00084 0.0007730 0.00068 0.00102 0.00073 0.00082 0.00090 0.0008331 0.00066 0.00099 0.00071 0.00088 0.00097 0.0008932 0.00066 0.00099 0.00071 0.00094 0.00103 0.0009533 0.00068 0.00102 0.00073 0.00101 0.00111 0.0010234 0.00073 0.00110 0.00078 0.00108 0.00119 0.0010935 0.00081 0.00122 0.00086 0.00117 0.00129 0.0011836 0.00089 0.00134 0.00095 0.00129 0.00142 0.0013037 0.00099 0.00149 0.00105 0.00144 0.00158 0.0014538 0.00110 0.00165 0.00116 0.00162 0.00178 0.0016339 0.00121 0.00182 0.00128 0.00182 0.00200 0.0018440 0.00134 0.00201 0.00142 0.00204 0.00224 0.0020641 0.00151 0.00230 0.00160 0.00224 0.00252 0.0022642 0.00171 0.00263 0.00181 0.00242 0.00278 0.0024543 0.00194 0.00303 0.00205 0.00256 0.00300 0.0026044 0.00220 0.00348 0.00233 0.00270 0.00323 0.0027445 0.00249 0.00398 0.00264 0.00282 0.00344 0.0028746 0.00281 0.00455 0.00298 0.00296 0.00368 0.0030247 0.00316 0.00518 0.00335 0.00313 0.00397 0.0032048 0.00356 0.00591 0.00377 0.00336 0.00434 0.0034349 0.00403 0.00677 0.00426 0.00361 0.00475 0.0036950 0.00460 0.00782 0.00486 0.00387 0.00519 0.00397

of 29



51 0.00530 0.00912 0.00559 0.00414 0.00565 0.0042552 0.00612 0.01065 0.00645 0.00439 0.00609 0.0045053 0.00703 0.01237 0.00739 0.00460 0.00650 0.0047254 0.00799 0.01422 0.00839 0.00479 0.00688 0.0049255 0.00896 0.01613 0.00939 0.00499 0.00729 0.0051356 0.00984 0.01791 0.01030 0.00523 0.00776 0.0053857 0.01065 0.01960 0.01113 0.00554 0.00835 0.0057058 0.01140 0.02120 0.01190 0.00594 0.00910 0.0061159 0.01212 0.02279 0.01264 0.00644 0.01002 0.0066260 0.01285 0.02442 0.01340 0.00707 0.01117 0.0072761 0.01374 0.02638 0.01431 0.00783 0.01256 0.0080562 0.01484 0.02879 0.01545 0.00875 0.01425 0.0090063 0.01620 0.03175 0.01686 0.00983 0.01624 0.0101164 0.01786 0.03536 0.01858 0.01102 0.01847 0.0113365 0.01987 0.03974 0.02066 0.01226 0.02084 0.0126066 0.02198 0.04396 0.02283 0.01338 0.02275 0.0137467 0.02443 0.04886 0.02535 0.01463 0.02487 0.0150168 0.02731 0.05462 0.02831 0.01603 0.02725 0.0164469 0.03044 0.06088 0.03153 0.01756 0.02985 0.0179970 0.03393 0.06786 0.03511 0.01922 0.03267 0.0196871 0.03715 0.07430 0.03841 0.01883 0.03201 0.0192772 0.04155 0.08310 0.04292 0.02088 0.03550 0.0213673 0.04648 0.09296 0.04797 0.02321 0.03946 0.0237374 0.05195 0.10390 0.05356 0.02589 0.04401 0.0264575 0.05804 0.11608 0.05978 0.02898 0.04927 0.0295976 0.06486 0.12777 0.06668 0.03260 0.05483 0.0332577 0.07240 0.14046 0.07430 0.03674 0.06114 0.0374278 0.08064 0.15402 0.08261 0.04116 0.06775 0.0418879 0.08945 0.16817 0.09148 0.04605 0.07497 0.0468080 0.09842 0.18208 0.10049 0.05134 0.08266 0.0521281 0.10790 0.19638 0.11000 0.05704 0.09081 0.0578582 0.11792 0.21108 0.12004 0.06321 0.09949 0.0640483 0.12869 0.22649 0.13082 0.06999 0.10890 0.0708484 0.14027 0.24267 0.14241 0.07759 0.11933 0.0784685 0.15297 0.26005 0.15511 0.08624 0.13108 0.0871486 0.16705 0.27897 0.16920 0.09621 0.14451 0.0971487 0.18288 0.29992 0.18503 0.10770 0.15983 0.1086688 0.20103 0.32366 0.20319 0.12097 0.17734 0.1219689 0.22197 0.35071 0.22414 0.13623 0.19726 0.1372690 0.24637 0.38187 0.24854 0.15376 0.21988 0.1548291 0.27284 0.41472 0.27498 0.17308 0.24439 0.1741592 0.30147 0.44919 0.30354 0.19431 0.27087 0.1953893 0.33237 0.48526 0.33434 0.21757 0.29938 0.2186294 0.36565 0.52288 0.36746 0.24299 0.32998 0.2439995 0.40139 0.56195 0.40300 0.27069 0.36272 0.2716196 0.43972 0.60242 0.44106 0.30083 0.39770 0.3016397 0.48070 0.64414 0.48174 0.33352 0.43491 0.3341698 0.52445 0.68703 0.52515 0.36889 0.47439 0.3693499 0.57102 0.73091 0.57137 0.40709 0.51619 0.40733

100 0.62048 0.77560 0.62048 0.44823 0.56029 0.44823

of 29


4 Actual to Expected on Graduated Tables

DEATH ONLY

MALESCOUNT

Age Last Paid Pending Declined IBNR Total Fittedlast policy ann Exposure Claims Claims Claims Allowance Claims Expected A / E

00 - 04 3 0 0 0 0 0 0 0%05 - 09 28 0 0 0 0 0 0 0%10 - 14 390 1 0 0 0 1 0 1426%15 - 19 6,415 6 1 0 0 7 4 166%20 - 24 51,948 37 8 0 0 45 41 111%25 - 29 125,113 60 14 5 1 74 79 94%30 - 34 245,862 112 22 9 1 134 129 104%35 - 39 400,356 190 34 14 3 225 234 96%40 - 44 548,347 421 41 20 7 466 464 101%45 - 49 621,002 688 78 36 11 772 775 100%50 - 54 573,493 1,043 82 60 16 1,137 1,136 100%55 - 59 446,213 1,302 87 52 20 1,404 1,409 100%60 - 64 229,426 1,020 65 37 18 1,100 1,096 100%65 - 69 67,896 499 19 20 9 526 527 100%70 - 74 16,920 252 7 19 6 265 264 100%75 - 79 3,601 95 5 19 2 102 102 100%80 - 84 292 13 1 0 0 14 13 107%85 - 89 6 3 0 0 0 3 0 811%90 - 94 3 1 0 0 0 1 1 143%95 - 99 0 0 0 0 0 0 0

Total 3,337,311 5,743 464 291 95 6,277 6,273 100%

AMOUNTAge Last Paid Pending Declined IBNR Total Fitted

last policy ann Exposure Claims Claims Claims Allowance Claims Expected A / E

00 - 04 287,500 0 0 0 0 0 45 0%05 - 09 1,653,432 0 0 0 0 0 165 0%10 - 14 51,471,687 103,000 0 0 2,929 105,929 8,593 1233%15 - 19 925,046,628 1,003,564 167,071 0 12,892 1,175,664 578,924 203%20 - 24 8,939,399,236 5,436,232 1,555,025 0 107,339 7,025,412 6,555,035 107%25 - 29 29,294,874,003 11,766,764 2,791,762 750,567 299,777 14,726,914 17,018,498 87%30 - 34 78,784,169,743 27,268,145 4,244,145 2,442,669 410,420 31,722,968 37,744,453 84%35 - 39 146,595,746,860 55,232,138 9,338,760 3,369,606 1,143,765 65,275,153 78,397,136 83%40 - 44 195,837,938,751 143,089,373 9,693,584 5,398,720 2,860,525 155,187,273 152,267,425 102%45 - 49 203,165,140,990 187,856,057 24,284,486 7,861,948 4,431,760 215,429,402 231,834,575 93%50 - 54 164,581,267,992 248,064,963 23,584,862 13,011,437 5,831,744 276,371,595 298,455,292 93%55 - 59 111,200,012,143 287,005,251 18,109,999 8,592,193 5,769,539 310,032,478 322,412,296 96%60 - 64 49,070,360,907 163,522,008 14,747,399 6,982,961 3,837,467 181,412,817 214,230,460 85%65 - 69 12,225,756,753 73,028,049 5,722,237 2,389,630 1,809,470 80,290,450 86,666,951 93%70 - 74 2,001,059,419 21,003,851 227,847 939,610 515,477 21,736,452 27,593,821 79%75 - 79 232,507,949 5,754,505 357,229 510,930 108,808 6,203,730 6,326,643 98%80 - 84 13,840,761 599,118 5,000 0 14,644 618,527 520,891 119%85 - 89 99,327 49,183 0 0 698 49,881 1,926 2590%90 - 94 7,500 3,000 0 0 23 3,023 2,116 143%95 - 99 0 0 0 0 0 0 0

Total 1,002,920,641,582 1,230,785,200 114,829,405 52,250,271 27,157,278 1,367,367,668 1,480,615,246 92%

COUNT AMOUNT

Duration Exposure Total Claims Fitted Claims A / E Exposure Total Claims Fitted Claims A / E

0 368,085 367 352 104% 143,830,337,897 89,560,918 109,341,891 82%1 312,154 376 377 100% 116,562,422,118 101,155,420 116,767,765 87%2 298,537 456 478 95% 105,909,888,212 93,532,457 137,866,927 68%3 269,775 453 440 103% 93,255,261,016 117,778,764 126,787,247 93%4 241,760 381 399 95% 82,254,592,125 85,174,408 116,112,896 73%5 220,271 388 381 102% 73,759,268,844 108,946,135 108,604,647 100%

2+ 2,657,072 5,534 5,544 100% 742,527,881,566 1,176,651,330 1,254,505,590 94%5+ 1,847,001 4,245 4,226 100% 461,108,140,214 880,165,703 873,738,520 101%10+ 955,102 2,473 2,494 99% 181,942,865,410 440,400,982 414,790,689 106%

COUNT AMOUNT

Smoker Status Exposure Total Claims Fitted Claims A / E Exposure Total Claims Fitted Claims A / E

Nonsmoker 2,470,451 4,255 4,295 99% 846,050,165,920 1,078,773,065 1,195,723,529 90%Smoker 668,370 1,546 1,531 101% 137,672,316,808 264,738,525 259,356,482 102%Other 198,490 475 447 106% 19,198,158,854 23,856,078 25,535,235 93%

Percent smoker 21% 27% 26% 14% 20% 18%

of 29


DEATH ONLY

FEMALESCOUNT


00 - 04 3 0 0 0 0 0 0 0%05 - 09 18 0 0 0 0 0 0 0%10 - 14 345 0 0 0 0 0 0 0%15 - 19 3,838 2 0 0 0 2 1 181%20 - 24 39,606 3 4 1 0 7 10 70%25 - 29 103,346 14 1 1 0 15 22 70%30 - 34 206,960 59 8 3 1 67 63 107%35 - 39 337,342 127 15 9 2 143 143 100%40 - 44 443,714 245 28 16 4 275 274 100%45 - 49 465,400 396 34 39 6 434 435 100%50 - 54 378,649 491 48 27 9 545 545 100%55 - 59 230,437 433 26 34 7 465 465 100%60 - 64 91,600 302 13 9 6 321 321 100%65 - 69 28,283 180 11 7 4 194 177 110%70 - 74 10,411 98 6 8 3 106 114 94%75 - 79 2,956 42 2 11 1 45 53 85%80 - 84 305 7 0 0 0 7 11 69%85 - 89 27 2 1 0 0 3 2 171%90 - 94 3 1 0 0 0 1 1 166%95 - 99 0 0 0 0 0 0 0

Total 2,343,240 2,402 197 165 43 2,631 2,635 100%



00 - 04 250,000 0 0 0 0 0 100 0%05 - 09 1,029,000 0 0 0 0 0 108 0%10 - 14 56,306,073 0 0 0 0 0 6,775 0%15 - 19 623,777,650 93,727 0 0 1,915 95,642 174,399 55%20 - 24 7,063,563,223 648,700 690,182 102,000 30,430 1,336,830 1,659,220 81%25 - 29 23,701,987,367 3,539,875 300,000 290,553 61,336 3,887,092 4,719,741 82%30 - 34 60,472,350,313 14,740,984 2,631,860 731,149 311,488 17,560,469 17,496,818 100%35 - 39 102,857,028,387 29,082,577 4,288,609 3,123,014 612,195 33,781,546 41,188,589 82%40 - 44 121,777,037,416 52,332,201 6,605,223 3,060,262 1,306,112 59,932,674 71,054,179 84%45 - 49 107,794,719,498 73,702,178 8,707,126 7,974,797 1,698,546 83,698,066 94,323,586 89%50 - 54 70,637,079,779 81,925,089 6,461,001 4,440,804 1,600,648 89,682,665 95,514,183 94%55 - 59 34,733,216,808 53,963,878 3,079,154 4,538,228 1,149,538 58,047,655 65,556,595 89%60 - 64 10,756,908,754 24,895,769 1,302,192 785,395 701,667 26,838,343 34,947,219 77%65 - 69 2,187,723,121 12,189,721 438,337 400,247 317,556 12,924,985 12,489,313 103%70 - 74 377,602,677 3,261,097 32,363 175,000 59,502 3,351,439 3,722,373 90%75 - 79 60,637,403 538,514 64,978 250,018 14,260 614,694 1,203,790 51%80 - 84 6,685,259 110,537 0 0 5,249 115,786 210,937 55%85 - 89 248,274 7,167 5,865 0 455 13,211 11,009 120%90 - 94 3,250 1,000 0 0 17 1,017 610 167%95 - 99 0 0 0 0 0 0 0

Total 543,108,154,251 351,033,013 34,606,889 25,871,467 7,870,915 391,882,114 444,279,547 88%

COUNT AMOUNT


0 267,079 132 174 76% 76,315,232,439 27,531,426 31,068,394 89%1 224,299 163 167 98% 62,364,148,873 27,083,217 33,386,557 81%2 215,856 230 216 106% 57,301,884,143 28,330,167 40,208,200 70%3 192,292 197 191 103% 50,884,263,148 25,320,782 37,740,648 67%4 170,059 165 165 100% 44,949,782,937 25,476,635 34,775,439 73%5 154,749 186 157 118% 40,315,659,811 29,829,773 33,057,534 90%

2+ 1,851,862 2,336 2,294 102% 404,428,772,940 337,267,471 379,824,595 89%5+ 1,273,657 1,745 1,723 101% 251,292,842,711 258,139,887 267,100,309 97%10+ 659,204 1,006 1,029 98% 101,300,866,349 127,771,739 129,711,790 99%

COUNT AMOUNT


Nonsmoker 1,796,137 1,772 1,857 95% 462,159,979,925 317,498,442 365,876,989 87%Smoker 392,597 506 502 101% 67,142,454,176 62,207,411 68,017,611 91%Other 154,507 353 276 128% 13,805,720,150 12,176,261 10,384,946 117%

Percent smoker 18% 22% 21% 13% 16% 16%

of 29


DEATH WITH RIDERS

MALESCOUNT


00 - 04 1,462 0 0 0 0 0 0 0%05 - 09 4,065 0 0 0 0 0 0 0%10 - 14 3,702 0 0 0 0 0 0 0%15 - 19 6,627 3 0 1 0 3 2 192%20 - 24 40,366 8 2 1 0 10 10 101%25 - 29 121,421 19 6 2 0 25 25 99%30 - 34 266,909 66 7 4 1 73 73 101%35 - 39 409,456 115 17 5 2 133 133 100%40 - 44 471,700 192 18 11 2 211 212 100%45 - 49 433,446 277 23 15 4 303 301 101%50 - 54 302,388 298 23 10 4 324 329 98%55 - 59 164,709 240 23 9 3 265 249 107%60 - 64 43,889 67 5 1 1 73 82 89%65 - 69 2,445 12 1 0 0 13 6 217%70 - 74 61 2 0 0 0 2 0 635%75 - 79 1 0 0 0 0 0 080 - 84 0 1 0 0 0 1 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 2,272,646 1,300 125 59 17 1,437 1,423 101%



00 - 04 72,116,768 0 0 0 0 0 14,147 0%05 - 09 179,452,097 0 0 0 0 0 12,282 0%10 - 14 160,724,233 0 0 0 0 0 11,651 0%15 - 19 651,411,887 633,989 0 100,000 2,339 636,328 163,211 390%20 - 24 6,890,204,114 1,090,596 685,123 250,000 24,137 1,767,907 1,669,213 106%25 - 29 31,772,466,395 4,085,197 1,401,798 222,592 56,558 5,478,184 6,438,649 85%30 - 34 94,221,189,201 19,838,502 2,797,281 2,126,103 359,728 22,865,066 25,106,877 91%35 - 39 165,638,781,628 40,335,137 6,638,471 1,172,200 814,776 47,478,815 51,532,531 92%40 - 44 188,025,649,579 60,414,759 7,662,333 4,910,578 922,737 68,642,514 79,954,783 86%45 - 49 158,563,682,411 92,134,123 7,892,939 5,586,932 1,616,961 101,275,955 103,669,819 98%50 - 54 96,983,334,808 86,839,640 7,481,055 2,814,138 1,355,752 95,327,586 99,102,687 96%55 - 59 44,690,227,535 51,631,021 5,425,167 916,257 849,703 57,652,901 63,326,697 91%60 - 64 9,453,384,422 16,451,985 2,316,250 929,722 292,097 18,952,319 16,163,982 117%65 - 69 397,001,196 1,956,295 186,651 0 31,328 2,165,570 890,504 243%70 - 74 6,401,362 760,219 0 0 6,458 766,677 33,833 2266%75 - 79 32,046 0 0 0 0 0 080 - 84 0 300,000 0 0 4,510 304,510 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 797,706,059,681 376,471,464 42,487,067 19,028,522 6,337,083 423,314,332 448,090,865 94%

COUNT AMOUNT


0 373,990 124 118 105% 151,439,842,338 40,785,450 47,427,147 86%1 287,419 126 122 103% 115,197,695,592 42,796,278 47,584,329 90%2 239,150 104 134 78% 96,138,422,737 40,401,678 51,929,303 78%3 199,669 120 118 102% 78,555,088,475 42,677,635 44,294,197 96%4 173,477 102 108 95% 65,515,677,147 33,276,436 38,752,725 86%5 153,260 116 100 116% 56,101,212,152 36,207,522 34,921,473 104%

2+ 1,611,237 1,187 1,184 100% 531,068,521,750 339,732,604 353,079,389 96%5+ 998,942 861 825 104% 290,859,333,392 223,376,854 218,103,163 102%10+ 358,333 360 350 103% 82,180,767,461 73,995,673 74,424,996 99%

COUNT AMOUNT


Nonsmoker 1,921,226 1,097 1,133 97% 712,467,118,508 349,220,265 382,569,295 91%Smoker 286,447 298 266 112% 74,684,624,576 68,107,540 62,186,239 110%Other 64,973 41 24 172% 10,554,316,597 5,986,526 3,335,331 179%

Percent smoker 13% 21% 19% 9% 16% 14%

COUNT AMOUNT

Death Rider Type Exposure Total Claims Fitted Claims A / E Exposure Total Claims Fitted Claims A / E

TPD 1,057,342 804 714 113% 419,902,678,620 256,594,934 245,917,079 104%Trauma 844,918 505 522 97% 252,518,890,008 129,222,117 142,638,377 91%

TPD & Trauma 370,386 127 187 68% 125,284,491,053 37,497,280 59,535,410 63%

of 29


DEATH WITH RIDERS

FEMALESCOUNT


00 - 04 1,321 0 0 0 0 0 0 0%05 - 09 3,880 0 0 0 0 0 0 0%10 - 14 3,490 0 0 0 0 0 0 0%15 - 19 5,570 1 0 0 0 1 1 123%20 - 24 35,378 2 0 0 0 2 5 39%25 - 29 106,538 9 2 0 0 11 12 91%30 - 34 231,276 29 4 0 0 33 31 107%35 - 39 349,854 44 4 3 0 48 52 93%40 - 44 371,047 78 4 2 1 83 84 98%45 - 49 299,279 116 9 6 2 127 126 100%50 - 54 176,787 108 6 3 1 115 114 101%55 - 59 73,620 59 6 5 1 66 68 97%60 - 64 14,896 21 4 1 0 25 25 100%65 - 69 760 3 0 0 0 3 2 182%70 - 74 13 0 0 1 0 0 0 0%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 1,673,707 470 39 21 6 514 521 99%



00 - 04 66,217,313 0 0 0 0 0 10,366 0%05 - 09 174,975,777 0 0 0 0 0 9,736 0%10 - 14 145,044,236 0 0 0 0 0 7,560 0%15 - 19 567,708,011 30,000 0 0 0 30,000 89,167 34%20 - 24 6,162,551,078 375,706 0 0 0 375,706 883,819 43%25 - 29 25,978,354,131 1,687,567 542,255 0 20,292 2,224,828 2,895,753 77%30 - 34 67,795,146,088 7,813,915 454,668 0 174,728 8,422,108 8,951,156 94%35 - 39 106,487,831,208 11,328,449 1,138,248 869,469 116,085 12,529,703 15,351,150 82%40 - 44 104,037,244,447 19,215,457 1,939,458 302,519 292,584 21,357,057 22,525,320 95%45 - 49 71,947,068,149 28,344,896 1,367,827 1,621,817 684,730 30,333,667 28,910,938 105%50 - 54 34,655,490,322 18,640,671 955,550 1,187,215 269,084 19,820,745 21,328,675 93%55 - 59 11,199,214,386 10,521,215 737,382 267,702 218,272 11,442,483 9,688,879 118%60 - 64 1,757,139,855 2,415,642 471,841 0 60,929 2,926,409 2,806,756 104%65 - 69 67,743,376 62,380 0 0 637 63,017 137,137 46%70 - 74 946,923 0 0 50,000 0 0 2,468 0%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 431,042,675,300 100,435,898 7,607,229 4,298,722 1,837,341 109,525,723 113,598,880 96%

COUNT AMOUNT


0 268,266 29 41 71% 78,411,950,852 8,710,411 11,023,349 79%1 209,838 42 44 97% 60,554,610,441 12,621,676 11,258,436 112%2 177,700 48 49 99% 51,322,276,331 10,760,485 12,559,922 86%3 150,386 35 43 81% 42,736,862,615 7,419,726 11,001,212 67%4 131,564 36 40 90% 36,094,328,870 9,541,191 9,783,567 98%5 116,428 43 37 115% 30,924,473,258 11,459,929 8,916,176 129%

2+ 1,195,604 442 436 101% 292,076,114,007 88,193,636 91,317,095 97%5+ 735,955 322 304 106% 161,922,646,190 60,472,233 57,972,394 104%10+ 250,149 144 126 114% 45,967,415,907 22,873,674 20,557,175 111%

COUNT AMOUNT


Nonsmoker 1,464,721 433 442 98% 391,738,970,948 96,111,491 100,450,786 96%Smoker 163,193 68 70 96% 32,905,736,355 12,570,952 12,237,369 103%Other 45,794 13 8 158% 6,397,967,997 843,279 910,725 93%

Percent smoker 10% 14% 14% 8% 12% 11%

COUNT AMOUNT

Death Rider Type Exposure Total Claims Fitted Claims A / E Exposure Total Claims Fitted Claims A / E

TPD 569,608 239 179 134% 168,616,585,888 57,871,039 43,907,389 132%Trauma 807,248 235 264 89% 190,029,965,693 42,189,950 53,421,797 79%

TPD & Trauma 296,851 39 77 51% 72,396,123,719 9,464,733 16,269,693 58%

of 29


TPD

MALESCOUNT


00 - 04 1,457 0 0 0 0 0 0 0%05 - 09 4,018 0 0 0 0 0 0 0%10 - 14 3,597 0 0 0 0 0 0 0%15 - 19 5,214 0 0 0 0 0 1 0%20 - 24 28,734 1 1 2 1 2 4 55%25 - 29 77,567 6 4 4 2 11 11 102%30 - 34 157,848 14 7 8 3 23 23 97%35 - 39 232,992 30 19 11 6 51 50 101%40 - 44 267,563 69 35 27 20 116 100 116%45 - 49 253,561 82 21 38 21 119 132 91%50 - 54 185,138 128 29 24 30 181 182 99%55 - 59 106,443 141 38 23 41 212 210 101%60 - 64 28,965 56 7 4 14 75 93 81%65 - 69 1,870 3 0 0 0 3 9 37%70 - 74 125 2 0 0 0 2 2 102%75 - 79 3 2 0 1 0 2 080 - 84 2 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 1,355,093 534 161 142 138 797 819 97%



00 - 04 71,790,000 0 0 0 0 0 9,441 0%05 - 09 177,051,000 0 0 0 0 0 22,724 0%10 - 14 154,377,500 0 0 0 0 0 20,007 0%15 - 19 418,268,106 0 0 0 0 0 63,155 0%20 - 24 4,393,218,230 315,000 100,328 262,500 167,890 555,019 629,853 88%25 - 29 18,476,866,117 1,712,656 1,733,580 857,578 1,266,235 4,225,203 2,412,307 175%30 - 34 50,686,348,278 4,144,011 3,180,764 2,789,514 1,637,262 8,068,001 7,142,606 113%35 - 39 86,230,014,514 7,178,411 8,039,556 3,820,421 2,865,353 15,823,597 17,740,525 89%40 - 44 98,422,609,100 18,555,456 15,169,609 9,753,378 8,042,606 37,503,862 34,369,103 109%45 - 49 85,305,193,951 22,998,761 6,676,489 14,308,812 11,376,481 39,175,132 41,448,902 95%50 - 54 54,102,028,484 30,480,525 9,444,208 6,748,644 10,668,906 47,939,100 49,071,952 98%55 - 59 25,438,151,145 30,836,881 12,607,511 4,999,008 13,966,379 53,867,105 45,806,464 118%60 - 64 4,917,211,993 8,695,180 2,470,953 1,006,294 3,729,826 14,201,433 13,666,560 104%65 - 69 215,806,082 4,400 0 0 437 4,837 932,379 1%70 - 74 9,055,953 4,000 0 0 282 4,282 148,979 3%75 - 79 75,167 3,000 0 2,500 266 3,266 480 - 84 167 0 0 0 0 0 785 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 429,018,065,786 124,928,280 59,422,999 44,548,648 53,721,923 221,370,837 213,484,967 104%

COUNT AMOUNT


0 246,856 57 59 96% 91,627,585,364 20,147,712 21,537,263 94%1 180,495 51 57 91% 66,259,279,986 17,326,089 20,118,145 86%2 143,752 64 70 92% 52,462,560,930 24,019,033 24,506,989 98%3 116,867 50 62 80% 41,436,618,466 15,492,482 20,871,582 74%4 99,514 46 57 80% 33,924,436,741 14,140,926 18,350,067 77%5 85,906 57 53 107% 28,316,690,879 19,779,555 16,441,351 120%

2+ 927,742 689 703 98% 271,131,200,436 183,897,037 171,829,560 107%5+ 567,610 529 514 103% 143,307,584,299 130,244,596 108,100,922 120%10+ 217,465 241 248 97% 41,016,683,029 54,134,287 39,539,926 137%

COUNT AMOUNT


Nonsmoker 1,112,102 632 638 99% 377,247,062,177 191,410,758 181,463,407 105%Smoker 178,479 154 161 96% 41,457,163,778 28,514,213 29,629,694 96%Other 64,512 12 20 59% 10,313,839,831 1,445,867 2,391,867 60%

Percent smoker 14% 20% 20% 10% 13% 14%

COUNT AMOUNT

Type Exposure Total Claims Fitted Claims A / E Exposure Total Claims Fitted Claims A / E

Acceleration 1,262,314 753 758 99% 392,701,844,888 207,684,216 194,394,429 107%Standalone 92,779 44 61 73% 36,316,220,898 13,686,621 19,090,539 72%

COUNT AMOUNT


Professional 379,908 215 240 90% 126,289,787,918 72,177,138 65,944,310 109%White Collar 384,936 219 238 92% 134,638,450,689 61,619,051 66,701,215 92%Light Manual 117,796 74 62 119% 30,600,212,694 13,661,962 11,839,399 115%

Heavy Manual 108,842 113 68 167% 27,514,168,103 20,979,386 10,619,981 198%Unknown 363,612 177 212 84% 109,975,446,382 52,933,300 58,380,063 91%

of 29


TPD

FEMALESCOUNT


00 - 04 1,314 0 0 0 0 0 0 0%05 - 09 3,853 0 0 0 0 0 0 0%10 - 14 3,396 0 0 0 0 0 0 0%15 - 19 4,649 1 1 1 0 2 0 539%20 - 24 26,008 1 1 1 0 2 2 83%25 - 29 67,476 2 1 1 0 3 6 49%30 - 34 129,086 6 5 6 2 12 13 94%35 - 39 178,580 15 5 5 5 24 24 101%40 - 44 179,237 31 12 22 8 48 47 102%45 - 49 142,977 48 22 14 16 81 77 105%50 - 54 85,496 51 13 16 11 72 70 102%55 - 59 35,982 26 5 5 6 36 42 86%60 - 64 7,126 10 0 0 3 13 14 89%65 - 69 533 5 0 0 1 6 2 240%70 - 74 76 3 0 0 0 3 1 320%75 - 79 1 10 0 0 0 10 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 865,788 209 65 71 53 312 300 104%



00 - 04 65,754,500 0 0 0 0 0 5,382 0%05 - 09 173,667,500 0 0 0 0 0 13,890 0%10 - 14 140,248,019 0 0 0 0 0 11,243 0%15 - 19 407,805,306 210,000 173,000 100,000 108,910 443,284 37,610 1179%20 - 24 4,029,597,614 212,592 100,000 210,000 14,541 299,025 350,072 85%25 - 29 14,813,092,969 581,888 3,597 126,000 7,968 592,442 1,234,346 48%30 - 34 34,940,411,050 1,074,840 1,549,431 1,895,280 756,701 2,945,465 3,322,949 89%35 - 39 51,436,440,375 2,962,975 3,075,519 1,823,632 1,873,792 7,047,833 6,658,132 106%40 - 44 47,748,041,292 8,016,853 3,784,372 5,294,547 4,194,936 14,932,466 11,834,683 126%45 - 49 32,517,421,127 8,281,222 11,493,337 4,953,679 6,434,568 22,978,628 16,514,490 139%50 - 54 15,582,049,839 6,574,489 3,280,496 2,426,512 1,877,845 10,810,762 12,077,748 90%55 - 59 4,801,658,921 3,994,428 983,292 591,222 1,175,184 5,876,524 5,110,815 115%60 - 64 613,537,094 1,619,214 0 0 942,014 2,561,228 1,071,229 239%65 - 69 31,122,738 20,109 0 0 9,182 29,291 147,532 20%70 - 74 5,679,474 5,900 0 0 145 6,045 78,373 8%75 - 79 50,000 20,350 0 0 768 21,118 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 207,306,577,817 33,574,859 24,443,044 17,420,871 17,396,554 68,544,110 58,468,494 117%

COUNT AMOUNT


0 168,945 26 25 107% 47,043,722,985 10,238,795 6,344,281 161%1 123,455 18 23 78% 33,617,268,540 6,099,642 5,817,744 105%2 98,003 18 29 62% 26,277,774,621 4,164,544 7,066,221 59%3 79,229 18 25 71% 20,686,355,541 5,567,923 5,985,885 93%4 65,797 23 22 100% 16,471,176,243 6,534,825 5,161,320 127%5 55,121 21 20 104% 13,230,947,157 4,693,977 4,444,098 106%

2+ 573,389 267 252 106% 126,645,586,292 52,205,674 46,306,469 113%5+ 330,361 209 175 119% 63,210,279,887 35,938,381 28,093,043 128%10+ 117,636 101 81 124% 17,367,666,540 15,021,930 10,261,203 146%

COUNT AMOUNT


Nonsmoker 728,097 249 244 102% 183,567,621,674 62,851,221 50,596,518 124%Smoker 92,532 57 48 119% 17,467,720,162 4,906,697 7,059,481 70%Other 45,160 6 8 77% 6,271,235,981 786,192 812,496 97%

Percent smoker 11% 19% 16% 9% 7% 12%

COUNT AMOUNT


Acceleration 809,783 296 278 107% 191,310,264,302 64,962,682 53,779,373 121%Standalone 56,006 16 22 73% 15,996,313,514 3,581,428 4,689,121 76%

COUNT AMOUNT


Professional 239,863 104 82 126% 54,626,251,971 20,473,996 15,927,827 129%White Collar 268,105 109 94 117% 73,086,312,193 27,469,647 20,168,120 136%Light Manual 75,460 27 24 116% 19,152,404,964 3,702,240 4,371,968 85%

Heavy Manual 15,581 12 9 132% 3,485,322,413 2,735,854 1,243,109 220%Unknown 266,780 60 91 65% 56,956,286,275 14,162,373 16,757,471 85%

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TRAUMA

MALESCOUNT


00 - 04 2,309 0 0 0 0 0 1 0%05 - 09 6,104 0 0 0 0 0 3 0%10 - 14 5,335 0 0 0 0 0 2 0%15 - 19 4,864 2 0 0 0 2 2 87%20 - 24 21,449 10 2 4 1 13 15 83%25 - 29 73,773 48 7 14 3 57 57 100%30 - 34 177,729 124 3 29 6 132 133 100%35 - 39 276,699 270 18 65 17 303 302 100%40 - 44 309,110 532 31 83 26 585 587 100%45 - 49 267,656 807 48 108 48 897 892 101%50 - 54 173,651 991 29 98 56 1,073 1,077 100%55 - 59 87,381 784 39 64 45 863 860 100%60 - 64 23,448 255 14 25 16 284 284 100%65 - 69 1,344 12 1 2 1 14 20 70%70 - 74 33 2 0 1 0 2 1 257%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 1,430,886 3,837 192 493 219 4,226 4,237 100%



00 - 04 126,405,408 0 0 0 0 0 69,283 0%05 - 09 310,311,213 0 0 0 0 0 148,048 0%10 - 14 263,391,613 0 0 0 0 0 124,125 0%15 - 19 428,202,372 429,446 0 0 36,802 466,248 240,788 194%20 - 24 3,235,966,698 2,046,732 259,911 837,347 191,489 2,467,854 2,344,139 105%25 - 29 13,273,261,796 10,039,841 1,445,173 2,711,558 857,392 12,174,052 10,218,921 119%30 - 34 35,347,825,860 25,767,705 1,058,278 6,470,827 1,506,823 28,209,523 26,175,930 108%35 - 39 57,746,374,083 50,227,573 3,366,842 14,681,085 3,745,670 56,947,869 61,772,407 92%40 - 44 61,708,633,989 97,722,583 8,004,537 16,245,266 5,647,199 110,441,839 113,602,388 97%45 - 49 49,310,540,592 133,127,935 10,794,214 18,949,606 9,526,875 152,191,563 158,773,656 96%50 - 54 28,966,055,635 152,034,366 6,570,026 14,960,769 10,533,372 168,372,395 173,195,841 97%55 - 59 12,903,271,710 112,228,351 7,797,291 7,290,920 7,989,689 127,106,994 122,811,641 103%60 - 64 3,131,725,733 35,793,424 1,452,970 3,405,795 2,650,162 39,727,294 36,838,638 108%65 - 69 172,518,687 1,003,269 148,837 92,693 102,092 1,236,859 2,527,684 49%70 - 74 4,578,741 158,409 0 25,000 5,989 164,398 101,472 162%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 266,929,064,130 620,579,634 40,898,079 85,670,866 42,793,555 699,506,889 708,944,959 99%

COUNT AMOUNT


0 250,887 370 386 96% 51,473,164,733 68,668,250 75,720,609 91%1 191,261 428 440 97% 38,329,679,099 71,407,248 82,359,262 87%2 159,424 367 398 92% 31,434,629,511 62,092,143 71,685,689 87%3 131,622 374 352 106% 25,585,305,945 68,154,857 62,174,082 110%4 112,439 310 324 96% 21,166,506,077 47,338,942 55,305,516 86%5 99,418 287 305 94% 18,421,919,416 46,469,325 51,723,175 90%

2+ 988,738 3,428 3,411 101% 177,126,220,298 559,431,391 550,865,088 102%5+ 585,254 2,377 2,337 102% 98,939,778,766 381,845,450 361,699,800 106%10+ 175,790 886 882 100% 28,090,057,909 145,340,012 131,656,016 110%

COUNT AMOUNT


Nonsmoker 1,273,384 3,728 3,723 100% 244,384,457,021 637,613,403 644,709,117 99%Smoker 154,853 495 511 97% 22,326,103,965 61,579,021 64,027,681 96%Other 2,649 3 2 132% 218,503,144 314,465 208,161 151%

Percent smoker 11% 12% 12% 8% 9% 9%

COUNT AMOUNT


Acceleration 1,119,978 3,325 3,329 100% 206,325,226,379 541,091,292 552,840,835 98%Standalone 310,908 901 908 99% 60,603,837,751 158,415,597 156,104,124 101%

of 29


TRAUMA

FEMALESCOUNT


00 - 04 1,990 0 0 1 0 0 0 0%05 - 09 5,215 0 0 0 0 0 1 0%10 - 14 4,559 0 0 0 0 0 1 0%15 - 19 3,856 0 0 0 0 0 1 0%20 - 24 18,002 5 0 2 0 5 6 85%25 - 29 71,093 32 9 8 3 43 43 100%30 - 34 175,841 141 10 26 8 158 160 99%35 - 39 272,631 361 16 51 20 395 388 102%40 - 44 287,536 646 21 83 35 700 672 104%45 - 49 226,371 627 28 73 37 689 705 98%50 - 54 131,500 524 37 48 35 592 563 105%55 - 59 54,294 257 13 28 15 284 298 95%60 - 64 11,642 75 4 12 6 84 95 88%65 - 69 569 4 0 1 1 5 8 61%70 - 74 5 1 0 0 0 1 0 995%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 1,265,103 2,673 138 333 160 2,956 2,943 100%



00 - 04 105,455,458 0 0 110,000 0 0 32,437 0%05 - 09 251,160,616 0 0 0 0 0 68,867 0%10 - 14 205,786,125 0 0 0 0 0 55,623 0%15 - 19 304,083,831 0 0 0 0 0 94,117 0%20 - 24 2,565,703,506 432,406 0 277,250 12,762 445,168 1,105,081 40%25 - 29 11,407,451,434 7,022,194 1,621,422 1,855,179 711,698 9,166,427 8,082,483 113%30 - 34 30,168,745,145 25,285,100 2,409,112 3,961,487 1,548,053 28,961,619 30,513,073 95%35 - 39 46,131,851,156 64,125,269 4,765,300 8,472,348 4,114,914 72,450,354 69,716,025 104%40 - 44 44,635,313,988 102,298,735 4,311,098 12,120,415 6,557,091 112,664,707 105,086,820 107%45 - 49 31,005,217,563 89,746,430 5,163,475 11,352,957 6,259,793 100,568,184 93,190,557 108%50 - 54 15,542,857,654 66,327,544 4,775,493 4,516,860 5,247,979 75,794,700 62,029,259 122%55 - 59 5,480,053,564 26,622,739 1,152,498 3,460,388 1,854,388 29,495,365 26,766,047 110%60 - 64 1,031,951,230 6,411,645 468,474 1,196,798 520,505 7,346,050 6,832,310 108%65 - 69 48,707,583 174,242 0 50,000 28,855 203,097 425,600 48%70 - 74 579,563 2,000 0 0 0 2,000 4,758 42%75 - 79 0 0 0 0 0 0 080 - 84 0 0 0 0 0 0 085 - 89 0 0 0 0 0 0 090 - 94 0 0 0 0 0 0 095 - 99 0 0 0 0 0 0 0

Total 188,884,918,415 388,448,304 24,666,872 47,373,682 26,856,037 437,097,670 404,003,056 108%

COUNT AMOUNT


0 204,564 280 271 103% 33,749,689,992 44,349,535 42,552,780 104%1 160,525 306 316 97% 25,877,837,379 53,118,539 47,627,800 112%2 137,154 288 287 100% 21,735,761,716 41,646,141 42,230,980 99%3 116,417 267 257 104% 18,129,479,939 45,254,388 37,208,540 122%4 101,535 210 236 89% 15,281,573,957 28,187,003 33,195,229 85%5 90,835 230 222 103% 13,429,455,691 36,183,341 30,821,888 117%

2+ 900,015 2,369 2,356 101% 129,257,391,044 339,629,597 313,822,476 108%5+ 544,910 1,604 1,576 102% 74,110,575,431 224,542,064 201,187,728 112%10+ 166,027 599 558 107% 21,406,592,319 76,863,473 68,148,713 113%

COUNT AMOUNT


Nonsmoker 1,155,382 2,696 2,670 101% 176,285,226,268 409,438,123 375,488,649 109%Smoker 106,340 260 269 97% 12,407,949,247 27,659,547 28,336,755 98%Other 3,381 0 5 0% 191,742,900 0 177,652 0%

Percent smoker 8% 9% 9% 7% 6% 7%

COUNT AMOUNT


Acceleration 1,015,818 2,338 2,385 98% 148,666,727,308 339,526,131 321,936,906 105%Standalone 249,286 618 558 111% 40,218,191,107 97,571,540 82,066,150 119%

of 29


Actuaries Institute Level 7, 4 Martin Place, Sydney NSW Australia 2000 t +61 (0) 2 9233 3466 f +61 (0) 2 9233 3446 e [email protected] w www.actuaries.asn.au

Financial Services Council Level 24, 44 Market Street, Sydney NSW Australia 2000 t +61 (0) 2 9299 3022 f +61 (0) 2 9299 3198 e [email protected] w www.fsc.org.au

mailto:[email protected]�

http://actuaries.asn.au/�

mailto:[email protected]�

http://www.fsc.org.au/�

graduation of the 2004-2008 lump sum investigation data

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