Equatorial Guinea | Death rate, crude (per 1,000 people)
Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Development relevance: The crude mortality rate is a good indicator of the general health status of a geographic area or population. The crude death rate is not appropriate for comparison of different populations or areas with large differences in age-distributions. Higher crude death rates can be found in some developed countries, despite high life expectancy, because typically these countries have a much higher proportion of older people, due to lower recent birth rates and lower age-specific mortality rates. Limitations and exceptions: Vital registers are the preferred source for these data, but in many developing countries systems for registering births and deaths are absent or incomplete because of deficiencies in the coverage of events or geographic areas. Many developing countries carry out special household surveys that ask respondents about recent births and deaths. Estimates derived in this way are subject to sampling errors and recall errors. Statistical concept and methodology: The crude death rate is calculated as the number of deaths in a given period divided by the population exposed to risk of death in that period. For human populations the period is usually one year and, if the population changes in size over the year, the divisor is taken as the population at the mid-year. The rate is usually expressed in terms of 1,000 people: for example, a crude death rate of 9.5 (per 1000 people) in a population of 1 million would imply 9500 deaths per year in the entire population. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Vital rates are based on data from birth and death registration systems, censuses, and sample surveys by national statistical offices and other organizations, or on demographic analysis. Data for the most recent year for some high-income countries are provisional estimates based on vital registers. The estimates for many countries are projections based on extrapolations of levels and trends from earlier years or interpolations of population estimates and projections from the United Nations Population Division.
Publisher
The World Bank
Origin
Equatorial Guinea
Records
63
Source
Create chart Download showed records Download Full dataset
Equatorial Guinea | Death rate, crude (per 1,000 people)
23.669 1960
23.37 1961
23.088 1962
22.8 1963
22.591 1964
22.323 1965
22.142 1966
21.927 1967
21.771 1968
34.616 1969
34.376 1970
27.748 1971
21.972 1972
21.778 1973
24.196 1974
27.975 1975
35.86 1976
23.737 1977
23.44 1978
23.012 1979
18.545 1980
18.147 1981
17.791 1982
17.493 1983
17.367 1984
17.133 1985
16.949 1986
16.808 1987
16.633 1988
16.458 1989
16.246 1990
16.072 1991
15.873 1992
15.648 1993
15.478 1994
15.248 1995
15.044 1996
14.731 1997
14.432 1998
14.108 1999
13.738 2000
13.363 2001
12.989 2002
12.636 2003
12.356 2004
12.141 2005
11.887 2006
11.706 2007
11.508 2008
11.391 2009
11.214 2010
10.979 2011
10.557 2012
10.26 2013
9.965 2014
9.616 2015
9.345 2016
9.096 2017
8.85 2018
8.582 2019
9.026 2020
9.042 2021
2022
Equatorial Guinea | Death rate, crude (per 1,000 people)
Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Development relevance: The crude mortality rate is a good indicator of the general health status of a geographic area or population. The crude death rate is not appropriate for comparison of different populations or areas with large differences in age-distributions. Higher crude death rates can be found in some developed countries, despite high life expectancy, because typically these countries have a much higher proportion of older people, due to lower recent birth rates and lower age-specific mortality rates. Limitations and exceptions: Vital registers are the preferred source for these data, but in many developing countries systems for registering births and deaths are absent or incomplete because of deficiencies in the coverage of events or geographic areas. Many developing countries carry out special household surveys that ask respondents about recent births and deaths. Estimates derived in this way are subject to sampling errors and recall errors. Statistical concept and methodology: The crude death rate is calculated as the number of deaths in a given period divided by the population exposed to risk of death in that period. For human populations the period is usually one year and, if the population changes in size over the year, the divisor is taken as the population at the mid-year. The rate is usually expressed in terms of 1,000 people: for example, a crude death rate of 9.5 (per 1000 people) in a population of 1 million would imply 9500 deaths per year in the entire population. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Vital rates are based on data from birth and death registration systems, censuses, and sample surveys by national statistical offices and other organizations, or on demographic analysis. Data for the most recent year for some high-income countries are provisional estimates based on vital registers. The estimates for many countries are projections based on extrapolations of levels and trends from earlier years or interpolations of population estimates and projections from the United Nations Population Division.
Publisher
The World Bank
Origin
Equatorial Guinea
Records
63
Source
Create chart Download showed records Download Full dataset