Indicator full name: Mid-year population, by sex
Unit: number of persons
Dimensions:
- Country/Area (COUNTRY/AREA)
- Supranational group of countries (COUNTRY_GRP)
- Sex (SEX)
- Year of measure (YEAR)
Years data is available: 1961—2023
Last updated: 07 October 2024
Explore this indicator's data in a specialized tool
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Mid-year male population
HFA-DB
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Mid-year female population
HFA-DB
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% of population aged 0–14 years
HFA-DB
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% of population aged 0–14 years, males
HFA-DB
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% of population aged 0–14 years, females
HFA-DB
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% of population aged 65+ years
HFA-DB
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% of population aged 65+ years, males
HFA-DB
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% of population aged 65+ years, females
HFA-DB
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Live births per 1000 population
HFA-DB
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Live births per 1000 population, males
HFA-DB
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Deaths(#), Malignant neoplasm of trachea, bronchus and lung
MDB
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Microbiological foodborne diseases per 100 000
HFA-DB
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Primary care facilities (e.g. clinics and health care centres)
DH
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Mid-year population, age 75-79 years
MDB
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Components of breastfeeding promotion and counselling
NutritionPolicy
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Migrant children receive all health care services free of charge
BaselineSurvey
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Incidence of mumps per 100 000
HFA-DB
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SDR(25-64), Malignant neoplasm of pancreas, per 100 000
MDB
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Use of national EHR system by secondary care facilities, and proportion using it
eHealth
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Training of physical education teachers
PhysicalActivity
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Deaths(#), External causes of injury and poisoning
MDB
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SDR(25-64), Events of undetermined intent, per 100 000
MDB
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Autopsy rate (%) for hospital deaths
HFA-DB
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Deaths(#), Asthma
MDB
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SDR(65+), Psychoactive substance use, per 100 000
MDB
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SDR(1-19), Pneumonia, per 100 000
MDB
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Perinatal deaths per 1000 births
HFA-DB
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SDR, all causes, 65+, per 100 000, females
HFA-DB
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Infant mortality, females
Health2020
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General paediatricians, per 10 000 population
HlthRes-DB
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Mid-year population (Line chart)
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Mid-year population (Bar chart)
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Mid-year population (Map)
The following abbreviations are used in the indicator titles:
The WHO Europe Child and Adolescent Health Database (CAHD) provides a set of statistics based on indicators related to the health and well-being of children and adolescents. The statistics were collated from a variety of databases as a joint effort between WHO program divisions and collaborating centres and partners. The database was constructed for the purpose of supporting the Child and Adolescent Health and Development Strategy (2015), providing the relevant information for monitoring progress on child and adolescent health indicators in the 53 member states of the WHO European Region.
European mortality database allows age- and sex-specific analysis of mortality trends by broad disease-groups, as well as dis-aggregated to 67 specific causes of death. Data reach back to 1980.
http://www.euro.who.int/en/data-and-evidence/databases/mortality-indicator-database-mortality-indicators-by-67-causes-of-death,-age-and-sex-hfa-mdb
Indicator code: pop.Publish.T
Estimate of resident (de jure) population on 1 July of given calendar year. Usually, it is calculated as an average of end-year estimates. The central statistical office (CSO) is the source in most countries. This data item is used as denominator to calculate most other indicators. Although \"de facto\" population would be preferable, the \"de jure\" population is used because it is more commonly available, particularly in age-disaggregated form. However, in case of some countries, particularly in those which were effected by war situation in 1990s, the difference between official population estimates and actually residing in country population (i.e. de facto) may be too large. In such cases special efforts should be made to provide also estimates for \"de facto\" population to be used as a denominator. Since 2000 data collection cycle, a separate entry for \"de facto\" population is provided (indicator 999997).WHO usually receives mid-year population by sex and age, together with annual mortality data. However, for some countries there is a delay of 2 or even more years in reporting mortality and population by age, making it impossible to calculate many indicators for which numerator data are available for more recent years. In such cases, countries are expected to provide at least provisional figures on total population by sex only; these will be automatically replaced later with the final population data from the mortality data reporting system.
If these data are not available, UN population estimates (based on projections) are used for the most recent year until they are replaced by national estimates received from countries. In some case this may cause some inconsistent trend for the latest year._
collected annually.
Note: In 2005 retroactively adjusted population data was received and all indicators were
re-calculated.
2011 marks a (slight) break. From January 1, 2011 the definition of the population imposed by
Eurostat was applied; this mainly means the integration of asylum seekers listed in the waiting
registry in our statistics. Also, the mid-year population is not calculated as an average anymore,
but is the observed registered population in the National Civil Registry.
Statistical Institute of Republic of Srpska; http:// www.rzs.rs.ba
for 1996 has been based on the 1991 census according to the 'de facto' principle, balance of
international migration 1991-1996 and natural increase for that respective period.
The population for 1995 was estimated by the 'de jure' principle which means that persons were
enrolled according to the place of permanent residence, regardless whether present or absent.
Temporarily present persons were not included in the total number of inhabitants.
Figures from 2002 onwards have been revised according to the results of the Population Census 2011.
1970 - 1992: Table HISB5
1993 - 2006: Table BEF6
2007: table BEF607
2008 - : table FOLK1
Estimation method: Average end-of-year estimates.
Revised numbers between censuses 1989 and 2000.
Data for 2000-2012 revised in December 2014.
Coverage: France metropolitan only.
Population estimates for Georgia from the early 1990s are particularly inaccurate due to armed
conflicts in the first half of the 1990s and unregistered migration. From 1993-1994 the Abkhasia and
Tzkhinvali regions, which are not under central government control, were not included in national
mortality and other health-related statistics. Population figures, that were used as denominators
for calculation of mortality rates and other indicators in the HFA-DB, have been adjusted to take
into account the non-reporting regions and migration. These figures may still be significantly
biased though and the interpretation of mortality-based and the majority of other indicator data for
Georgia during and after the 1990s should be done with caution, keeping in mind the relatively low
accuracy of raw data used for both numerator and denominator.
Fachserie 1, Reihe 1.3.
http://www.destatis.de or http://www.gbe-bund.de
Coverage: The average population includes all persons, who have their (permanent) place of residence
in the federal territory. Foreign employees who live in the federal territory are included. Members
of the foreign armed forces are not included.
Estimation method: The data of the annual average population for one calendar year is the arithmetic
average of 12 monthly averages. The monthly averages are calculated from the state of population at
the beginning and at the end of a month.
Break in time series: The population numbers prior to 2011 are taken from the Update of the
Population based on earlier censuses (Former Federal Republic of Germany 1987, German Democratic
Republic 1990). Starting from 2011 the population numbers are based on the Federal Census (census
data as of 27 November 2015). Therefore, for the years from 2011 onwards differences to previous
publications of population related numbers are possible.
data.
1997-2010: ?de facto? population on 1 July.
Before 1997 and again as of 2011: average of population.
estimates. Population estimates for 2007-2010 are final. 2011 data comes from Census of Population.
Data for 2012, 2013, 2014, 2015 is preliminary.
It is calculated as an average of beginning-year estimates. Data for the year 2015 are provisional
data at 1st july 2015.
August 2003: Population figures for 1989-2001 have been retroactively adjusted using latest
population census data.
June 2013: Population figures for 2001-2011 have been retroactively adjusted using latest population
census data.
and foreign residents). Thus mid-year population should also include all resident population in the
Maltese islands.
methodology of last census 2011.
Data for 2010 and 2011 were verified after National Census 2011
Note: The final estimates of the resident population 2001 - 2010, were revised on the basis of the
final results of the 2011 Census.
Current estimates of the resident population on 1 January of given calendar year are calculated on
the basis of the results of the last census adding annually the number of births and arrivals on a
given territory and subtracting the number of deaths and those who left given territory. This takes
into account changes in the population resulting from administrative-territorial reforms.
The National Bureau of Statistics (NBS) receives data on the natural movement of the population from
the Ministry of Justice (Civil Status Service). The databases of administrative sources: Ministry of
Information Technology and Communications (State Information Resources Center ®Registru¯) and the
Ministry of the Internal Affairs (Bureau for Migration and Refugees) provide Information on
migration.
For more information: www.statistica.md.
Coverage: From 1997, livebirth and mortality data (plus population data used to calculate mortality
rates), do not include data for Transnistria. From 2004, total population figures published in
HFA-DB exclude Transnistria. Data on the natural growth of the population include individual cases
of registration of births and deaths of inhabitants of Transnistria and Bender municipality. The
migration growth included in the current calculations of population differs from the reporting data
due to amendments in some cases of relocation of residents of Transnistria and Bender municipality.
values, on the basis of indices of natural movement of inhabitants, for 1 July. The data about the
number of population are updated after taking a census of inhabitants in ten-year period. The last
census was taken in 1991.
Break in time series: The data between 1995 and 2007 include:
citizens of Slovenia with permanent residence in Slovenia, excluding those who have been abroad more
than three months and gave notice of their departure at the administrative unit of their permanent
residence.
foreigners with issued permission for permanent residence in Slovenia, who registered a permanent
residence.
foreigners with issued permission for temporary residence in Slovenia, who registered a temporary
residence
foreigners with a valid work permit or business visa, who registered a temporary residence in
Slovenia.
refugees according to the Asylum Act to whom asylum was admitted and refugee status was granted in
Slovenia
persons under temporary protection in Slovenia.
From 2008 onwards, the population of Slovenia consists of all persons usually resident in Slovenia,
i.e. persons, regardless of their citizenship, who intend to live in Slovenia for at least one year.
This includes the following:
Persons who have registered permanent residence in Slovenia, excluding those who have been abroad
for one year or more and gave notice of their departure in the administrative unit of their
permanent residence.
Persons who have registered temporary residence in Slovenia with the total duration of at least one
year.
Persons who have registered both permanent and temporary residence in Slovenia, excluding those who
have been abroad for one year or more and gave notice of their departure in the administrative unit
of their permanent residence.
More information:
http://pxweb.stat.si/pxweb/Database/Demographics/05_population/10_Number_Population/05_05C10_Populat
ion_kohez/05_05C10_Population_kohez.asp
Population figures.?
http://www.ine.es/en/inebaseDYN/cp30321/cp_inicio_en.htm
www.scb.se (Online Statistical Database: Table BE0101A5)
http://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__BE__BE0101__BE0101D/MedelfolkFodelsear/tabl
e/tableViewLayout1/?rxid=e2ff7273-637e-4370-9714-e5d8d41ecc10
2000.
From 1970 to 1989 data were based on mid-year estimations are calculated by using the results of
census.
From 1990 to 2006, data were based on mid-year estimations of national population projections
(cohort-component method) and are calculated by using the results of 2008 Address Based Population
Registration System (ABPRS) and final results of 2008 Demographic and Health Survey.
During 2007-2008 ABPRS (Address-Based Population Registration System) was introduced and the
population is according to ABPRS.
Between 2007 and 2013, the indicators are based on the mid-year values, which were calculated and
converted from the end of year results of ABPRS (Address Based Population Registration System).
Source of data: State Statistic Department
Understanding the Mid-Year Population
The concept of the mid-year population extends beyond mere numbers, serving as a critical tool for analyzing societal trends and demographic shifts. Each year, on July 1st, countries around the globe capture a snapshot of their populations, providing insights into changes and patterns at the year's midpoint. This date is strategically chosen to facilitate the synchronization of data across different regions, enhancing the comparability and utility of the information. Such synchronization supports improved decision-making in economic, social, and health sectors, offering a fresh perspective on global demographic analysis.
Calculating the Mid-Year Population
The calculation of the mid-year population is a detailed process that involves several demographic components. Starting with the population at the beginning of the year, demographers add the number of births and subtract the number of deaths, adjusting further for net migration—the difference between immigration and emigration—up to the mid-year point. The formula used is: Mid-Year Population = Initial Population + Births - Deaths + Net Migration. This calculation relies heavily on accurate and timely data from vital statistics and immigration records, which can sometimes be challenging to procure, making estimations necessary in certain cases.
The Significance of Mid-Year Population Data
Mid-year population figures are pivotal for governmental planning and resource allocation. These statistics help in designing effective public health initiatives, educational programs, and social services by providing a clear picture of population growth and density trends. Additionally, businesses leverage this data to tailor their products and services to meet the specific needs of communities, aiding in strategic planning for distribution networks and facility expansions to adapt to consumer demands and demographic changes.
Strengths and Limitations of Mid-Year Population Data
While mid-year population data is invaluable, it comes with its own set of strengths and limitations that influence its application across various fields.
Strengths
Globally standardized, mid-year population data facilitates comparative studies and collaborative projects across borders, enhancing global understanding and cooperation. This data is crucial for allocating resources to public services and plays a significant role in economic and environmental planning. It aids in forecasting market demands, understanding labor dynamics, and planning sustainable development projects, thereby supporting balanced economic growth and environmental conservation.
Limitations
However, the reliability of mid-year population figures heavily depends on the accuracy of underlying demographic data. In regions where data collection is flawed or incomplete, these statistics may not reflect the true population dynamics. Moreover, mid-year snapshots do not account for seasonal population fluctuations due to tourism or temporary employment, which can significantly alter demographic landscapes temporarily. Additionally, this data might miss short-term demographic shifts caused by sudden migrations or natural disasters if these occur outside the mid-year measurement period, delaying their reflection in population statistics.
Understanding both the strengths and limitations of mid-year population data is essential for its effective use in planning and analysis across various sectors, ensuring that decisions are informed and reflective of actual population needs and trends.