Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
ANNEX
Continuous time series of mortality by cause of death in
West Germany for period 1968-1997
Note: Before making use of the data read carefully the documentation.
CONTENTS:
[1 – CLASSIFICATION]
ICD8 (icd8.xls)
ICD9 (icd9.xls)
[2 – TRANSITION BETWEEN ICD8 AND ICD9]
Elementary associations.xls
Transition coefficients.xls
[3 – CONTINUOUS TIME SERIES 1968-1997]
Death counts on the 3-digit level (dx_idr.txt)
Death counts by ICD9 chapters (dx_chapters.txt)
Age specific death rates (mx_idr.txt)
Standardized death rates 1 (sdr_idr.txt)
Standardized death rates 2 (sdr.txt)
[4 – POPULATION]
Birth counts (births.txt)
Population at risk of death (population.txt)
[5 – REFERENCES TO DATA SOURCES]
1
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
1. Introduction
This Annex contains the background and the files produced by the reconstruction
process described in the present paper: the continuous time series of underlying
causes of death1 in West Germany between 1968 and 1997, accompanied by the
explanatory and complementary data (descriptions, definitions, population estimates
and birth counts).
The time series available in this Annex were reconstructed using the official data from
the German statistical office. The population estimates from the Human Mortality
Database were used to compute the age-specific death rates (www.mortality.org).
Files containing the reconstruction results by year, sex, age group and cause of death,
as well as the mid-year population estimates and the birth counts are comma
separated text (ASCII) files: the data have the fields separated by the comma
character and string variables are quoted by the double quote character. This format
allows for easy importing into SPSS, STATA, SAS, Microsoft Access etc.2
2. Files description and data layout
[1 – CLASSIFICATION]
icd8.xls
 list of ICD8 items used in the reconstruction project (in German and English),
and alphanumeric codes that were used in the text, in the correspondence
tables and in the elementary associations to identify the grouped items
icd9.xls
 list of 3-digit ICD9 items used in the reconstruction project (in German and
English)
Underlying cause of death is defined as “the disease or injury which initiated the train of morbid
events leading directly to death, or the circumstances of the accident or violence which produced the
fatal injury” in accordance with the rules of the International Classification of Diseases.
2
It is not recommended to import the data into spreadsheets due of the excessive number of records (up
to 53 520 records per file).
1
2
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
[2 – TRANSITION BETWEEN ICD8 AND ICD9]
Elementary associations.xls
 A total of 304 elementary associations between the 3-digit items of ICD9 and
the available items of ICD8 (not always 3-digit). The table is divided in two
parts: the first 4 columns refer to ICD9:
Code,
Title,
Death counts in 1980,
Death counts in 1979,
while the remaining six columns refer to ICD 8:
Death counts in 1978,
Death counts in 1977,
Alphanumeric working code,
Portion (T = a total of the ICD8 item is included in the corresponding
ICD9 item, P = only a portion of the ICD8 item is included in the
corresponding ICD9 item - this ICD8 item corresponds to several
ICD9 items),
Code,
Title.





The last column “Note” contains additional information about the limitation of
the correspondences to certain age groups only.
Each elementary association ends with a sum of all the involved items on the
last line.
Once displayed, the death counts from ICD items, as well as the titles, do not
appear any more.
Instead of death counts, a notion of neglection (neglected) may appear in the
column “1978”. This notion means there is a theoretical link between the
items, but this link was neglected due to its minor contribution to the statistical
balance of the elementary association. In such cases the ICD8 items is placed
in another association, with a “P” in the column “Portion”.
n.a. – not available (i.e. after the change of the publication system in 1980,
these items were no more included in the available ICD9 data)
Transition coefficients.xls
 1157 transition coefficients (in ‰) between the items of ICD8 and ICD9 for
20 age groups (0, 1-4, 5-9, …, 85-89, 90+)
 sorted by ICD9 items
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Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
[3 – CONTINUOUS TIME SERIES 1968-1997]
dx_idr.txt (52,380 records)
 reconstructed death counts on the level of the 3-digit ICD9 items for the period
1968-1997 after the proportional redistribution of ill-defined causes of death
(ICD9 Chapter XVI except ICD9 item n° 798 for age 0).3 For the ICD9 item
n° 798 Sudden death, cause unknown the deaths were redistributed only for
age groups 1-4 and older due to the special position of the sudden infant
death syndrome (SIDS) among the ill-defined causes. Therefore, this cause has
been kept in the file (for age 0) with the modified title “Sudden (infant) death”.
Variable
Type
Content
year
code
title
sex
d_total
d0
d1_4
d5_9
d10_14
d15_19
d20_24
d25_29
d30_34
d35_39
d40_44
d45_49
d50_54
d55_59
d60_64
d65_69
d70_74
d75_79
d80_84
d85_89
d90_
numeric
string (3 characters)
string (up to 80 chars.)
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
Year to which data refer
ICD9 3-digit code
Title of ICD9 3-digit code
1 = male, 2 = female
Deaths at all ages
Deaths at age 0
Deaths at age 1-4 years
Deaths at age 5-9 years
Deaths at age 10-14 years
Deaths at age 15-19 years
Deaths at age 20-24 years
Deaths at age 25-29 years
Deaths at age 30-34 years
Deaths at age 35-39 years
Deaths at age 40-44 years
Deaths at age 45-49 years
Deaths at age 50-54 years
Deaths at age 55-59 years
Deaths at age 60-64 years
Deaths at age 65-69 years
Deaths at age 70-74 years
Deaths at age 75-79 years
Deaths at age 80-84 years
Deaths at age 85-89 years
Deaths at age 90 years and above
3
The death counts computed during the reconstruction and the redistribution of the ill-defined causes
of death have been rounded, therefore the total does not always conform to the sum of the age groups.
4
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
dx_chapters.txt (1,020 records)
 reconstructed death counts on the level of the 17 main ICD9 chapters for the
period 1968-1997 without the redistribution of ill-defined causes of death.
Variable
Type
Content
year
chapter
codes
title
sex
d_total
d0
d1_4
d5_9
d10_14
d15_19
d20_24
d25_29
d30_34
d35_39
d40_44
d45_49
d50_54
d55_59
d60_64
d65_69
d70_74
d75_79
d80_84
d85_89
d90_
numeric
numeric
string (up to 9 characters)
string (up to 68 chars.)
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
Year to which data refer
No. of the ICD9 chapter
ICD9 codes within the chapter
Title of the chapter
1 = male, 2 = female
Deaths at all ages
Deaths at age 0
Deaths at age 1-4 years
Deaths at age 5-9 years
Deaths at age 10-14 years
Deaths at age 15-19 years
Deaths at age 20-24 years
Deaths at age 25-29 years
Deaths at age 30-34 years
Deaths at age 35-39 years
Deaths at age 40-44 years
Deaths at age 45-49 years
Deaths at age 50-54 years
Deaths at age 55-59 years
Deaths at age 60-64 years
Deaths at age 65-69 years
Deaths at age 70-74 years
Deaths at age 75-79 years
Deaths at age 80-84 years
Deaths at age 85-89 years
Deaths at age 90 years and above
5
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
mx_idr.txt (52,380 records)
 age specific death rates (mx) per 1,000,000 persons on the level of the 3-digit
ICD9 items for the period 1968-1997 after the proportional redistribution of
ill-defined causes of death (ICD9 Chapter XVI except ICD9 item n° 798 for
age 0). The death rates were computed using the following formula:
mx =
Dx
Ex
where Dx are the death counts observed during one year period and Ex is the
population exposed to risk of death (extracted from the Human Mortality
Database).
Variable
Type
Content
year
code
title
sex
m0
m1_4
m5_9
m10_14
m15_19
m20_24
m25_29
m30_34
m35_39
m40_44
m45_49
m50_54
m55_59
m60_64
m65_69
m70_74
m75_79
m80_84
m85_89
m90_
numeric
string (3 characters)
string (up to 80 chars.)
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
Year to which data refer
ICD9 3-digit code
Title of ICD9 3-digit code
1 = male, 2 = female
Death rate at age 0
Death rate at age 1-4 years
Death rate at age 5-9 years
Death rate at age 10-14 years
Death rate at age 15-19 years
Death rate at age 20-24 years
Death rate at age 25-29 years
Death rate at age 30-34 years
Death rate at age 35-39 years
Death rate at age 40-44 years
Death rate at age 45-49 years
Death rate at age 50-54 years
Death rate at age 55-59 years
Death rate at age 60-64 years
Death rate at age 65-69 years
Death rate at age 70-74 years
Death rate at age 75-79 years
Death rate at age 80-84 years
Death rate at age 85-89 years
Death rate at age 90 years and above
6
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
sdr_idr.txt (52,380 records)
 age-standardized death rates (SDR) per 1,000,000 persons on the level of the
3-digit ICD9 items for the period 1968-1997 after the proportional
redistribution of ill-defined causes of death (ICD9 Chapter XVI except ICD9
item n° 798 for age 0). The standardized death rates were computed using the
following formula:
SDR = ∑mx * (
Pxst
∑P
st
x
)
where mx are age specific death rates and Pxst are the age-specific standard
population counts. As standard we applied the WHO European standard
population with extension to age group 90+ (Table 1). We have calculated age
standardized death rates for the following age groups: All ages, 0-14, 15-29,
30-44, 45-60, 60-74, 75+, 0-64, 65+, 25-64.
Variable
Type
Content
year
code
title
sex
sdr
sdr0_14
sdr15_29
sdr30_44
sdr45_59
sdr60_74
sdr75_
sdr0_64
sdr65_
sdr25_64
numeric
string (3 characters)
string (up to 80 chars.)
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
Year to which data refer
ICD9 3-digit code
Title of ICD9 3-digit code
1 = male, 2 = female
SDR for all ages
SDR at age 0-14 years
SDR at age 15-29 years
SDR at age 30-44 years
SDR at age 45-59 years
SDR at age 60-74 years
SDR at age 75 years and above
SDR at age 0-64 years
SDR at age 65 years and above
SDR at age 25-64 years
sdr.txt (53,520 records)

age standardized death rates (SDR) per 1,000,000 persons on the level of the
3-digit ICD9 items for the period 1968-1997 without the redistribution of illdefined causes of death. The layout of the data is exactly the same as for the
file sdr_idr.txt, they differ solely by the number of records.
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Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
Table 1 Standard population
Age group
0
1-4
5-9
10-13
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total
Population
16000
64000
70000
70000
70000
70000
70000
70000
70000
70000
70000
70000
60000
50000
40000
30000
20000
10000
6500
3500
10000000
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Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
[4 – POPULATION]
population.txt (60 records)
 population exposed to risk of death between 1968-1997 by age and sex
(extracted from the Human Mortality Database the 1st February 2006)
Variable
Type
Content
year
sex
exp0
exp1_4
exp5_9
exp10_14
exp15_19
exp20_24
exp25_29
exp30_34
exp35_39
exp40_44
exp45_49
exp50_54
exp55_59
exp60_64
exp65_69
exp70_74
exp75_79
exp80_84
exp85_89
exp90_
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
Year to which data refer
1 = male, 2 = female
Pop. exp. to risk of death at age 0
Pop. exp. to risk of death at age 1-4 years
Pop. exp. to risk of death at age 5-9 years
Pop. exp. to risk of death at age 10-14 years
Pop. exp. to risk of death at age 15-19 years
Pop. exp. to risk of death at age 20-24 years
Pop. exp. to risk of death at age 25-29 years
Pop. exp. to risk of death at age 30-34 years
Pop. exp. to risk of death at age 35-39 years
Pop. exp. to risk of death at age 40-44 years
Pop. exp. to risk of death at age 45-49 years
Pop. exp. to risk of death at age 50-54 years
Pop. exp. to risk of death at age 55-59 years
Pop. exp. to risk of death at age 60-64 years
Pop. exp. to risk of death at age 65-69 years
Pop. exp. to risk of death at age 70-74 years
Pop. exp. to risk of death at age 75-79 years
Pop. exp. to risk of death at age 80-84 years
Pop. exp. to risk of death at age 85-89 years
Pop. exp. to risk of death at age 90 years and
above
births.txt (30 records)
 birth counts for the period 1968-1997 (extracted from the Human Mortality
Database the 1st February 2006)
Variable
Type
Content
year
male
female
numeric
numeric
numeric
Year to which data refer
Male births
Female births
9
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
[5 – REFERENCES TO THE DATA SOURCES]
Statistisches Bundesamt (August 1971). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1968, p. 50-92.
Statistisches Bundesamt (March 1972). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1969, p. 56-112.
Statistisches Bundesamt (October 1972). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1970, p. 60-113.
Statistisches Bundesamt (August 1973). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1971, p. 66-123.
Statistisches Bundesamt (December 1974). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1972, p. 78-135.
Statistisches Bundesamt (December 1975). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1973, p. 82-139.
Statistisches Bundesamt (October 1976). Bevölkerung und Kultur, Reihe 7,
Gesundheitswesen, 1974, p. 74-131.
Statistisches Bundesamt (July 1977). Gesundheitswesen, Reihe 4, Todesursachen,
1975, p. 4-65.
Statistisches Bundesamt (August 1978). Gesundheitswesen, Reihe 4, Todesursachen,
1976, p. 4-65.
Statistisches Bundesamt (May 1979). Gesundheitswesen, Reihe 4, Todesursachen,
1977, p. 4-65.
Statistisches Bundesamt (March 1980). Gesundheitswesen, Reihe 4, Todesursachen,
1978, p. 4-67.
Statistisches Bundesamt (July 1981). Gesundheitswesen, Reihe 4, Todesursachen,
1979, p. 4-79.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1980.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1981.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1982.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1983.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1984.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1985.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1986.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1987.
Statistisches Bundesamt, electronic format,Gesundheitswesen, Todesursachen, 1988.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1989.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1990.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1991.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1992.
10
Reconstruction of continuous time series of mortality by cause of death in West Germany in 1968-1997
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1993.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1994.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1995.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1996.
Statistisches Bundesamt, electronic format, Gesundheitswesen, Todesursachen, 1997.
11