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Questions about registration and access to the data:
Password problems and password-related issues:
Downloading the data and importing it into Excel:
Do you have...?
What we do NOT have:
Data series to be added or expanded:
Uses for the HMD data:
Understanding and Interpreting the HMD data:
Questions about registration and access to the data:
Why do I have to register?
We require you to register before accessing the data in order to
obtain basic contact information (i.e., your name, e-mail address,
affiliation, and title) because we may occassionally need to
contact you with important messages about the database (e.g., updates,
other critical information). We will NOT give your e-mail address
to anyone else for any reason. Nor do we ask for any other personal
information other than that listed above.
How can I delete my name from your registration database?
Please send a delete request to:
hmd@mortality.org.
It is important that the request be sent from the e-mail address that
was registered, if possible. If that is not possible (e.g., cancelled
account), then the delete request should include your name,
the e-mail address used to register, your affiliation, and your job title.
We need this information in order to verify the user address to delete
(and avoid deleting the wrong person).
Are the data free?
Yes, but you must register before you can access the data files.
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Password problems and password-related issues:
I registered but never received a password.
You must provide a valid e-mail address in order for us to issue you
a password (otherwise, how will we e-mail you the password?). Make
sure you provide your complete e-mail address (e.g., "joeuser@aol.com" NOT
"joeuser" or "joeuser@aol"). If we determine that the e-mail address you provided is not
valid (i.e., the e-mail we send to you is rejected), you will be
dropped from the user registry and you must start over by registering as
a "new user". After registering, you should receive an acknowlegement
via e-mail within a few minutes. If not, then the registration was not
successful.
My password does not work!
Make sure that you are using the correct user-ID; your "user-ID" is your
COMPLETE e-mail address (i.e., "joeuser" will NOT work). Also, make
sure you enter the user-ID using lowercase characters (even if you
originally typed in your e-mail address using upper-case characters).
In addition, your password is case sensitive (e.g., if you changed your
password to "AbCd", then entering "abcd" or "ABCD" will not work).
Make sure you type in the password EXACTLY as you entered it
(Do you accidentally have the CAPS lock on?).
If all else fails, you can reset your password (see answer
to next question).
I can't remember my password.
Go to Change/Reset Password
where you will have the option of resetting your password. You will be
asked to enter your e-mail
address (i.e., the one that you registered with originally) and a
new password will be sent to you via e-mail. Note: If you have not already
registered with a valid e-mail address, you must start over by registering as
a "new user". How can I change my password to something other than this 10-digit
string of random numbers?
Go to Change/Reset Password
where you will have the option of changing your password.
You will be asked to enter your e-mail address and your current
password, and then you can change your password
to whatever you would like.
Can I let someone else use my password?
No. Each HMD user must register separately. If there is some
important change to the database, we need a complete list of HMD
users so that we can contact everyone who may be using the data.
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Do you have...?
Do you have data on cause of death?
No. The Human Mortality Database (HMD) contains only
information on total mortality (e.g., death rates, life tables, life expectancy)
for selected national populations. We do not provide data on cause
of death at the present time. The
World Health
Organization (WHO) Mortality Database
contains cause of death information for a wide range
of countries. For more detailed information,
we suggest you contact the national agency responsible for collecting
vital statistics in the country for which you are seeking data.
For example, for the United States, the National Center for
Health Statistics (NCHS)
compiles vital statistics (e.g., births, deaths) and other health-related data
at the national level. (See also the following
list of
national statistical agencies.)
Do you have data for COUNTRY X?
If COUNTRY X is not listed on our home page, then we do not (yet) have
data for that population. The countries and areas currently included in the HMD,
with ranges of years covered by the period life tables can be found on the Data Availability.
See the answers to questions below for a
list of countries to be added or extended in the near future.
Do you have infant mortality rates (IMR)?
Yes. We consider q(0) -- the probability of dying in the 1st
year of life -- from the life table to be the best indicator of infant
mortality. The q(x)'s for a given calendar year are provided in the
1x1 life tables accessible from each HMD country page. For example,
among females in the United States q(0) was 0.00842 in 1990, which can
be interpreted as an IMR of 8.42 per 1000 live births.
Another method commonly used to calculate the IMR is the ratio of
deaths in the 1st year of life to live births in that same calendar year
(typically expressed per 1,000 births). One problem with this method
for calculating the IMR is that the numerator
(deaths) and the denominator (live births) represent different cohorts.
For example, if the IMR for year t is calculated in this manner,
the denominator represents only the cohort born in year t,
but the numerator also includes infants born in year t-1
who died in year t before reaching their 1st birthday.
Despite this drawback, you may wish to calculate the IMR using this
method in order to make comparisons with other estimates of the IMR defined
in this way. The data files on each country page provide the annual number
of live births and the annual number of deaths at age 0 (see 1x1
deaths). Using these numbers, one can simply calculate the ratio (and multiply
by 1,000) to get the IMR.
Other common sources for IMRs are: The Demographic Yearbook,
published by the United Nations;
and the World Development Indicators,
published by the World Bank.
Despite its common name, note that the "infant mortality rate" is NOT
a rate, but rather a probability.
Do you have fertility data?
No, the HMD includes mortality data series only. However, a companion database, called the Human Fertility Database (http://www.humanfertility.org/), might fulfill your data needs.
Do you have mortality data by race/ethnicity?
No. The HMD currently includes mortality data only at the national level
(by sex and age) except for the Maori and non Maori populations of New Zealand.
Do you have data by month or by day?
No. The HMD does not have either death counts nor birth counts by month or by day but only by year.
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What type of information will I NOT find here?
- Mortality data by cause of death
- Population of the world
- Mortality data for the world population (e.g., average worldwide human
lifespan)
- Population forecasts/projections of any kind
- Data on morbidity (i.e., illness/disease)
- Data on fertility
- Mortality data at the subnational level (e.g., by province,
state, region)
- Mortality data by race/ethnicity
- Proportion of people with blond hair and blue eyes
- Mortality data, death counts and birth counts by month or by day
Where can I find such information?
- Ask a librarian (it's their job!).
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Data series to be added or expanded:
What countries do you plan to add in the near future?
We plan to add data for the following populations in 2009 and 2010:
Do you plan to extend existing data series farther back in time?
Yes. During 2009 and future years, we plan to extend the data series for the following populations:
- Czech Republic (1920-1949)
- France Total and Civilian (1806-1815)
- Japan (1899-1946)
- Portugal (1929-1939)
- Taiwan (1906-1969)
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Uses for the HMD data:
Who can use these data?
Anyone may use the HMD data (after registering), but HMD users are
typically professional demographers, actuaries, or other persons
with demographic training. The HMD is designed for users who have
a basic knowledge of demographic methods. If you cannot answer the
following question, "What is a life table?", then your ability to make
effective use of these data will be rather limited.
What do people use these data for?
These data are used primarily for research and teaching purposes.
For example, professional demographers use these data for comparative
studies of mortality and analyses of time trends in mortality decline.
Demographers and actuaries may also use these data to assess mortality
risk among specific populations (i.e., by country, sex, age) for financial
purposes. Others use these data in making mortality and population projections.
In addition, educators use the HMD for teaching courses in demography and
actuarial science. Students often use the data for homework assignments in
demographic methods or other courses.
Understanding and Interpreting the HMD data:
Why are some period death rates larger than 1.0?
At older ages, the number of deaths and the exposure-to-risk, derived independently, eventually become quite small so that the former sometimes becomes larger than the latter, resulting in observed population death rates M(x) higher than 1. Because of such results, we smooth M(x) values at ages 80 and over before calculating the life table. This smoothing procedure ensures that the life table m(x) series remains below 1. Please, see the Methods Protocol for more details.
Why are there two sets of population estimates for some years?
Two sets of population estimates are provided in years when a territorial change occurred. The first set of estimates (identified as the year followed by a - sign) refers to the population size just before the territorial change took place, while the second set (identified as the year followed by a + sign) refers to the population size just after the change. For example, in France, the data for "1914+" cover the French territory as of December 31, 1913 while the data for "1914+" reflect the territorial boundaries as of January 1, 1914. Please see the Explanatory Notes under "Important Notes" for more details. You will also find information on the estimation of period death rates around the time of a territorial change on p.70 of Appendix D of the Methods Protocol. What are 'Lexis triangles'?
A Lexis triangle is half of a Lexis square. Lexis was a leading
demographer who developed a graphical form of analysis of how events occur
over age and time. The usual term is 'Lexis diagram' which will provide
far more information in a search than the derived term 'lexis triangle'. Please see the Methods Protocol to understand how this is used in the HMD project.
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