In 2024, Russia had the largest population among European countries at ***** million people. The next largest countries in terms of their population size were Turkey at **** million, Germany at **** million, the United Kingdom at **** million, and France at **** million. Europe is also home to some of the world’s smallest countries, such as the microstates of Liechtenstein and San Marino, with populations of ****** and ****** respectively. Europe’s largest economies Germany was Europe’s largest economy in 2023, with a Gross Domestic Product of around *** trillion Euros, while the UK and France are the second and third largest economies, at *** trillion and *** trillion euros respectively. Prior to the mid-2000s, Europe’s fourth-largest economy, Italy, had an economy that was of a similar sized to France and the UK, before diverging growth patterns saw the UK and France become far larger economies than Italy. Moscow and Istanbul the megacities of Europe Two cities on the eastern borders of Europe were Europe’s largest in 2023. The Turkish city of Istanbul, with a population of 15.8 million, and the Russian capital, Moscow, with a population of 12.7 million. Istanbul is arguably the world’s most famous transcontinental city with territory in both Europe and Asia and has been an important center for commerce and culture for over 2,000 years. Paris was the third largest European city with a population of ** million, with London being the fourth largest at *** million.

Between 2019 and June 2021 the number of French citizens living in the UK has decreased, from approximately 191 thousand in 2019 to approximately 149 thousand by June 2021.

During the eighteenth century, it is estimated that France's population grew by roughly fifty percent, from 19.7 million in 1700, to 29 million by 1800. In France itself, the 1700s are remembered for the end of King Louis XIV's reign in 1715, the Age of Enlightenment, and the French Revolution. During this century, the scientific and ideological advances made in France and across Europe challenged the leadership structures of the time, and questioned the relationship between monarchial, religious and political institutions and their subjects. France was arguably the most powerful nation in the world in these early years, with the second largest population in Europe (after Russia); however, this century was defined by a number of costly, large-scale conflicts across Europe and in the new North American theater, which saw the loss of most overseas territories (particularly in North America) and almost bankrupted the French crown. A combination of regressive taxation, food shortages and enlightenment ideologies ultimately culminated in the French Revolution in 1789, which brought an end to the Ancien Régime, and set in motion a period of self-actualization.

War and peace

After a volatile and tumultuous decade, in which tens of thousands were executed by the state (most infamously: guillotined), relative stability was restored within France as Napoleon Bonaparte seized power in 1799, and the policies of the revolution became enforced. Beyond France's borders, the country was involved in a series of large scale wars for two almost decades, and the First French Empire eventually covered half of Europe by 1812. In 1815, Napoleon was defeated outright, the empire was dissolved, and the monarchy was restored to France; nonetheless, a large number of revolutionary and Napoleonic reforms remained in effect afterwards, and the ideas had a long-term impact across the globe. France experienced a century of comparative peace in the aftermath of the Napoleonic Wars; there were some notable uprisings and conflicts, and the monarchy was abolished yet again, but nothing on the scale of what had preceded or what was to follow. A new overseas colonial empire was also established in the late 1800s, particularly across Africa and Southeast Asia. Through most of the eighteenth and nineteenth century, France had the second largest population in Europe (after Russia), however political instability and the economic prioritization of Paris meant that the entire country did not urbanize or industrialize at the same rate as the other European powers. Because of this, Germany and Britain entered the twentieth century with larger populations, and other regions, such as Austria or Belgium, had overtaken France in terms of industrialization; the German annexation of Alsace-Lorraine in the Franco-Prussian War was also a major contributor to this.

World Wars and contemporary France

Coming into the 1900s, France had a population of approximately forty million people (officially 38 million* due to to territorial changes), and there was relatively little growth in the first half of the century. France was comparatively unprepared for a large scale war, however it became one of the most active theaters of the First World War when Germany invaded via Belgium in 1914, with the ability to mobilize over eight million men. By the war's end in 1918, France had lost almost 1.4 million in the conflict, and approximately 300,000 in the Spanish Flu pandemic that followed. Germany invaded France again during the Second World War, and occupied the country from 1940, until the Allied counter-invasion liberated the country during the summer of 1944. France lost around 600,000 people in the course of the war, over half of which were civilians. Following the war's end, the country experienced a baby boom, and the population grew by approximately twenty million people in the next fifty years (compared to just one million in the previous fifty years). Since the 1950s, France's economy quickly grew to be one of the strongest in the world, despite losing the vast majority of its overseas colonial empire by the 1970s. A wave of migration, especially from these former colonies, has greatly contributed to the growth and diversity of France's population today, which stands at over 65 million people in 2020.

This statistic shows the population distribution in France on January 1st, 2025, by age group. In 2025, people aged under 15 accounted for 16.7 percent of the total French population, whereas around 10 percent of the population were 75 years and older. By comparison, the number of members of the population over the age of 65 years has increased even more prominently, reaching 14.57 million in 2025. The number of people living in France has been steadily increasing since 1982, exceeding 68 million in 2025, having thus grown by seven percent during that time.

This dataset shows different breakdowns of London's resident population by their nationality. Data used comes from ONS' Annual Population Survey (APS).

The APS has a sample of around 320,000 people in the UK (around 28,000 in London). As such all figures must be treated with some caution. 95% confidence interval levels are provided.

Numbers have been rounded to the nearest thousand and figures for smaller populations have been suppressed.

Two files are available to download:

• Nationality - Borough: Shows nationality estimates in their broad groups such as European Union, South East Asia, North Africa, etc. broken down to borough level.
• Detailed Nationality - London: Shows nationality estimates for specific countries such as France, Bangladesh, Nigeria, etc. available for London as a whole.

A Tableau visualisation tool is also available.

Country of Birth data can be found here: https://data.london.gov.uk/dataset/country-of-birth

Nationality refers to that stated by the respondent during the interview. Country of birth is the country in which they were born. It is possible that an individual’s nationality may change, but the respondent’s country of birth cannot change. This means that country of birth gives a more robust estimate of change over time.

The population of Europe was estimated to be 745 million in 2024, an increase of around 4 million when compared with 2012. Over 35 years between 1950 and 1985, the population of Europe grew by approximately 157.8 million. But 35 years after 1985 it was estimated to have only increased by around 38.7 million. Since the 1960s, population growth in Europe has fallen quite significantly and was even negative during the mid-1990s. While population growth has increased slightly since the low of -0.07 percent in 1998, the growth rate for 2020 was just 0.04 percent. Which European country has the biggest population? As of 2024, the population of Russia was estimated to be approximately 144.8 million and was by far Europe's largest country in terms of population, with Turkey being the second-largest at over 87 million. While these two countries both have territory in Europe, however, they are both only partially in Europe, with the majority of their landmasses being in Asia. In terms of countries wholly located on the European continent, Germany had the highest population at 84.5 million, and was followed by the United Kingdom and France at 69.1 million and 66.5 million respectively. Characteristics of Europe's population There are approximately 384.6 million females in Europe, compared with 359.5 million males, a difference of around 25 million. In 1950, however, the male population has grown faster than the female one, with the male population growing by 104.7 million, and the female one by 93.6 million. As of 2024, the single year of age with the highest population was 37, at 10.6 million, while in the same year there were estimated to be around 136 thousand people aged 100 or over.

In 2023, the population of the United Kingdom was around **** million, with approximately **** million women and **** million men. Since 1953, the male population of the UK has grown by around *** million, while the female population has increased by approximately *** million. Throughout this provided time period, the female population of the UK has consistently outnumbered the male population. UK population one of the largest in Europe As of 2022, the population of the United Kingdom was the largest it has ever been, and with growth expected to continue, the forecasted population of the United Kingdom is expected to reach over ** million by the 2030s. Despite the relatively small size of its territory, the UK has one of the largest populations among European countries, slightly larger than France but smaller than Russia and Germany. As of 2022, the population density of the UK was approximately *** people per square kilometer, with London by far the most densely populated area, and Scotland the most sparsely populated. Dominance of London As seen in the data regarding population density, the population of the United Kingdom is not evenly distributed across the country. Within England, London has a population of almost **** million, making it significantly bigger than the next largest cities of Birmingham and Manchester. As of 2022, Scotland's largest city, Glasgow had a population of around *** million, with the largest cities in Northern Ireland, and Wales being Belfast and Cardiff, which had populations of ******* and ******* respectively.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps which use dots and proportional circles to illustrate the distribution of population of French and British origin, respectively, according to the 1951 census of Canada. Each map is accompanied by a pie chart which shows the British origin and French origin percentage population distribution by province and territory. For Canadian census purposes, a person's origin or cultural group is traced through the father to the paternal ancestor on first arrival to this continent. The term 'British' embraces all those of British Isles origin, that is, it includes those from the United Kingdom of Great Britain and Northern Ireland, the Isle of Man, the Channel Islands and the Republic of Ireland.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps which use dots and proportional circles to illustrate the distribution of population of French and British origin, respectively, according to the 1951 census of Canada. Each map is accompanied by a pie chart which shows the British origin and French origin percentage population distribution by province and territory. For Canadian census purposes, a person's origin or cultural group is traced through the father to the paternal ancestor on first arrival to this continent. The term 'British' embraces all those of British Isles origin, that is, it includes those from the United Kingdom of Great Britain and Northern Ireland, the Isle of Man, the Channel Islands and the Republic of Ireland.

In 2020, there were approximately 815,000 Polish nationals living in the United Kingdom, the most of any European Union member state. Additionally, there were 404,000 Romanians, and 321,000 Irish nationals living in the UK in this year. Luxembourg was the EU member state with the fewest citizens living in the UK, at just 520 in 2019. In terms of British nationals living in the EU, Spain was the most popular destination, at almost 285,000 Britons, followed by France and Germany, which had British populations numbering 145,000 and 110,000 respectively. The EU settlement scheme After the Brexit referendum of 2016, the fate of EU citizens living in the UK, as well as that of British nationals in the EU, was suddenly unclear. Although the rights of EU citizens to remain in the UK was affirmed at various points during the Brexit negotiations, the EU settlement scheme to handle this issue wasn't launched until 2019. As of March 2024, there have been almost 7.9 million applications to this scheme, with Romanian nationals being the most common nationality, followed by 1.23 million applications from Polish nationals, and 686,820 from Italian nationals. Migration still one of the top issues for voters In June 2024, immigration was seen as the third most important issue for voters, and was consistently ahead of many other issues in the months leading up to UK's 2024 general election. Net migration to the UK has risen sharply since 2021, reaching 745,000 in 2022, and remaining high in 2023. Although there has been a clear decline in net migration from EU nationals since the Brexit vote, there has been a far larger increase in non-EU net migration. Despite, pledging to bring immigration down, the previous Conservative government gradually lost trust on this issue with voters, with just 15 percent seeing them as the best party at dealing with immigration, compared with 20 percent who thought Labour would handle it best.

Urban population growth has been constant for several decades in France. Between 1960 and 2023, it rose from 61.88 percent to 81.78 percent. The phenomenon of urbanization was more significant in the 1960s. Indeed, over this period, the rate of the French population living in cities increased by 10 points. The evolution was more weighted over the next 50 years, rising from 71.06 percent in 1970 to 80.98 percent in 2020.An increase in urbanization was accompanied over the same period by a sharp rise in the overall French population, from 55.57 million inhabitants in 1982 to around 68 million in 2024. Paris, an urban giant in France Like in the United Kingdom, the French-style centralized system has led to a high concentration of population around economic, financial, cultural and political centers, all located in the British and French capitals. London and Paris (and its conurbation) are among the largest urban centers on the continent, with Moscow being the most populous. This centralization of power has led to a very heterogenous distribution of population density. The Paris region has a density of more than 1000 inhabitants per km², which is ten times higher than the Haut-de-France region, the second densest region in Metropolitan France.This centralization of power attracts a strong French and foreign workforce. The French capital is by far the most populated city in France. If solely the municipality of Paris is taken into account, it had more than 2 million inhabitants in 2019, which is more than twice as many as in Marseille and four times as many as in Lyon, the country's second and third most populous cities. Future challenges for French cities Access to employment is no longer the only reason to settle in a town. Other factors come into play in the life choices of city dwellers. In 2019, more than 90% of the French estimated that the presence of green areas was important to settle or not in a district. The pollution level of the city was also considered in the choice of the city. In order to address these pollution problems, municipalities must resolve transportation issues on their own territory. Previously the king of the town, the car is increasingly losing ground to public transport in urban areas. Cities like Paris are relying more on public transport. Between 2011 and 2016, RATP and SNCF have built more than 60 kilometers of tramway tracks . Moreover, the construction of additional train and metro lines in the Grand Paris project aimed at better connecting the suburbs to each other without passing through intramural Paris.Making it easier to travel by bicycle is one of the options chosen by many conurbations to relieve congestion in their cities. Since the early 2000s, self-service bicycles have been a great success in France with more than 2400 bicycles available in Toulouse or 4000 in Lyon in 2017. A source of much tension between motorists, municipalities and cyclists, the sharing of the road between 4 and 2 wheelers has, however, been widely developed. In Strasbourg, for example, the municipality had around 1.04 metres of cycle lanes per inhabitant in 2017, the highest rate in France. However, the layout of cycle paths can be perilous and a majority of cyclists in France still feel unsafe on the road.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Experimental public transit transport performance statistics by 200 metre grids for a subset of urban centres in France, with the following fields (Note: These data are experimental, please see the Methods and Known Limitations/Caveats Sections for more details).AttributeDescriptionidUnique IdentifierpopulationGlobal Human Settlement Layer population estimate downsampled to 200 metre (represents the total population across adjacent 100 metre cells)access_popThe total population that can reach the destination cell within 45 minutes using the public transit network (origins within 11.25 kilometres of the destination cell)proxim_popThe total population within an 11.25 kilometre radius of the destination celltrans_perfThe transport performance of the 200 metre cell. The percentage ratio of accessible to proximal populationcity_nmName of the urban centrecountry_nmName of the country that the urban centre belongs toMethods:

For more information please visit:

· Python Package: https://github.com/datasciencecampus/transport-network-performance

· Docker Image: https://github.com/datasciencecampus/transport-performance-docker

Known Limitations/Caveats:

These data are experimental – see the ONS guidance on experimental statistics for more details. They are being published at this early stage to involve potential users and stakeholders in assessing their quality and suitability. The known caveats and limitations of these experimental statistics are summarised below.

Urban Centre and Population Estimates:

· Population estimates are derived from data using a hybrid method of satellite imagery and national censuses. The alignment of national census boundaries to gridded estimates introduce measurement errors, particularly in newer housing and built-up developments. See section 2.5 of the GHSL technical report release 2023A for more details.

Public Transit Schedule Data (GTFS):

· Does not include effects due to delays (such as congestion and diversions).

· Common GTFS issues are resolved during preprocessing where possible, including removing trips with unrealistic fast travel between stops, cleaning IDs, cleaning arrival/departure times, route name deduplication, dropping stops with no stop times, removing undefined parent stations, and dropping trips, shapes, and routes with no stops. Certain GTFS cleaning steps were not possible in all instances, and in those cases the impacted steps were skipped. Additional work is required to further support GTFS validation and cleaning.

Transport Network Routing:

· “Trapped” centroids: the centroid of destination cells on very rare occasions falls on a private road/pathway. Routing to these cells cannot be performed. This greatly decreases the transport performance in comparison with the neighbouring cells. Potential solutions include interpolation based on neighbouring cells or snapping to the nearest public OSM node (and adjusting the travel time accordingly). Further development to adapt the method for this consideration is necessary.

Please also visit the Python package and Docker Image GitHub issues pages for more details.

How to Contribute:

We hope that the public, other public sector organisations, and National Statistics Institutions can collaborate and build on these data, to help improve the international comparability of statistics and enable higher frequency and more timely comparisons. We welcome feedback and contribution either through GitHub or by contacting datacampus@ons.gov.uk.

This data set contains estimates of the base rates of 550 food safety-relevant food handling practices in European households. The data are representative for the population of private households in the ten European countries in which the SafeConsume Household Survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK).

Sampling design

In each of the ten EU and EEA countries where the survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK), the population under study was defined as the private households in the country. Sampling was based on a stratified random design, with the NUTS2 statistical regions of Europe and the education level of the target respondent as stratum variables. The target sample size was 1000 households per country, with selection probability within each country proportional to stratum size.

Fieldwork

The fieldwork was conducted between December 2018 and April 2019 in ten EU and EEA countries (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, United Kingdom). The target respondent in each household was the person with main or shared responsibility for food shopping in the household. The fieldwork was sub-contracted to a professional research provider (Dynata, formerly Research Now SSI). Complete responses were obtained from altogether 9996 households.

Weights

In addition to the SafeConsume Household Survey data, population data from Eurostat (2019) were used to calculate weights. These were calculated with NUTS2 region as the stratification variable and assigned an influence to each observation in each stratum that was proportional to how many households in the population stratum a household in the sample stratum represented. The weights were used in the estimation of all base rates included in the data set.

Transformations

All survey variables were normalised to the [0,1] range before the analysis. Responses to food frequency questions were transformed into the proportion of all meals consumed during a year where the meal contained the respective food item. Responses to questions with 11-point Juster probability scales as the response format were transformed into numerical probabilities. Responses to questions with time (hours, days, weeks) or temperature (C) as response formats were discretised using supervised binning. The thresholds best separating between the bins were chosen on the basis of five-fold cross-validated decision trees. The binned versions of these variables, and all other input variables with multiple categorical response options (either with a check-all-that-apply or forced-choice response format) were transformed into sets of binary features, with a value 1 assigned if the respective response option had been checked, 0 otherwise.

Treatment of missing values

In many cases, a missing value on a feature logically implies that the respective data point should have a value of zero. If, for example, a participant in the SafeConsume Household Survey had indicated that a particular food was not consumed in their household, the participant was not presented with any other questions related to that food, which automatically results in missing values on all features representing the responses to the skipped questions. However, zero consumption would also imply a zero probability that the respective food is consumed undercooked. In such cases, missing values were replaced with a value of 0.

Medical Canes Market Outlook

As of 2023, the global market size for medical canes is estimated to be valued at USD 750 million and is projected to reach approximately USD 1.1 billion by 2032, growing at a CAGR of 4.8%. The growth of this market is primarily driven by the increasing elderly population, rising incidences of chronic diseases, and advancements in cane technology. The growing awareness about mobility aids and the rising number of accidents and disabilities are also contributing to the market's expansion. Moreover, supportive government policies and initiatives further bolster the market. The convergence of these factors creates a conducive environment for sustained growth over the forecast period.

One of the most significant growth factors for the medical canes market is the rapidly aging global population. According to the United Nations, the number of people aged 60 years or older is expected to double by 2050. This demographic shift is driving the demand for mobility aids, including medical canes, as many elderly individuals experience reduced mobility. Additionally, chronic conditions such as arthritis, osteoporosis, and Parkinson's disease, which affect mobility, are more prevalent in older adults. This rise in chronic conditions further fuels the demand for medical canes, as these devices help increase mobility and independence for those affected.

Technological advancements in the design and functionality of medical canes are also propelling market growth. Modern medical canes come equipped with features such as ergonomic handles, adjustable heights, and lightweight materials, enhancing user comfort and convenience. Moreover, innovations like smart canes with built-in GPS, fall detection, and emergency alert systems are gaining popularity. These advancements not only improve the usability of medical canes but also offer additional safety and support for users, thereby driving their adoption across various settings.

Another driving factor is the increasing number of accidents and disabilities that necessitate the use of mobility aids. According to the World Health Organization, approximately 50 million people suffer non-fatal injuries from road traffic accidents each year, many of which result in temporary or permanent mobility issues. Additionally, workplace injuries, sports injuries, and other forms of physical trauma contribute to the growing need for medical canes. These devices provide essential support during the rehabilitation process, facilitating quicker recovery and improved quality of life for patients.

Regionally, the medical canes market exhibits significant variability in growth rates and market size. North America holds a substantial share of the market, driven by high healthcare expenditure, advanced healthcare infrastructure, and a large elderly population. Europe follows closely, with countries like Germany, France, and the UK showing strong demand due to their aging populations and robust healthcare systems. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapidly aging population in countries like China and Japan, increasing awareness about mobility aids, and improving healthcare infrastructure. Latin America and the Middle East & Africa also present growth opportunities, although at a relatively slower pace compared to other regions.

Product Type Analysis

The medical canes market is segmented into various product types, including folding canes, quad canes, offset canes, and others. Folding canes are gaining popularity due to their portability and ease of storage. These canes can be conveniently folded and carried in bags, making them ideal for individuals who travel frequently. The compact design does not compromise on stability, as modern folding canes are made from durable materials that ensure long-term use. These features are making folding canes a preferred choice among users, contributing to their substantial market share.

Quad canes offer superior stability due to their four-legged base, which provides a broader area of support compared to traditional single-point canes. This type of cane is particularly beneficial for individuals with severe mobility issues or those recovering from surgeries involving the lower extremities. The design of quad canes allows for better weight distribution, reducing the risk of falls and enhancing user confidence. As a result, quad canes are widely adopted in both home care and clinical settings, significantly contributing to the market's growth.

Offset canes are

The phenomenon of aging of the society, and thus changes in the structure of the share of population in pre- and post-working age, is typical for all European Union countries. The median age of the population in the European Union countries in 2001-2016 increased from 38.5 years to 43 years. This is the scale of the aging of the population (Median age of population, 2017). However, while the aging of the population in the next 30 years will be appropriate for all EU countries, not all countries will experience a demographic crisis related to a decline in population. The population will not decrease according to forecasts, incl. in UK, France, Spain and Italy.

Snapshot img

Population Health Management Market Size and Forecast 2025-2029

The population health management market size estimates the market to reach by USD 19.40 billion, at a CAGR of 10.7% between 2024 and 2029. North America is expected to account for 68% of the growth contribution to the global market during this period. In 2019 the software segment was valued at USD 16.04 billion and has demonstrated steady growth since then.

    Report Coverage


    Details




    Base year


    2024




    Historic period

    2019-2023



    Forecast period


    2025-2029



    Market structure
    Fragmented



    Market growth 2025-2029


    USD 19.40 billion






The market is experiencing significant growth, driven by the increasing adoption of healthcare IT and the rising focus on personalized medicine. Healthcare providers are recognizing the value of population health management platforms in improving patient outcomes and reducing costs. The implementation of these systems enables proactive care management, disease prevention, and population health analysis. However, the market faces challenges as well. The cost of installing population health management platforms can be a significant barrier for smaller healthcare organizations. Additionally, ensuring data security and interoperability across various systems remains a major concern.
Effective data management and integration are essential for population health management to deliver its full potential. Companies seeking to capitalize on market opportunities must address these challenges and provide cost-effective, secure, and interoperable solutions. By focusing on these areas, they can help healthcare providers optimize their population health management initiatives and improve patient care.

What will be the Size of the Population Health Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in technology and a growing focus on value-based care. Risk adjustment models, which help account for the variability in health risks among patient populations, are increasingly being adopted to improve care coordination and health outcome measures. For instance, a leading healthcare organization implemented risk stratification models, resulting in a 20% reduction in hospital readmissions. Remote patient monitoring, public health surveillance, and disease outbreak response are crucial applications of population health management. These technologies enable real-time health data collection, allowing for early intervention and improved health equity initiatives. Chronic disease management, a significant focus area, benefits from electronic health records, care coordination models, and health information exchange.

Value-based care programs, predictive modeling healthcare, and telehealth platforms are transforming the landscape of healthcare delivery. Healthcare data analytics, interoperability standards, and population health dashboards facilitate data-driven decision-making, enhancing health intervention efficacy. Behavioral health integration and preventive health services are gaining prominence, with health literacy programs and clinical decision support tools supporting personalized medicine strategies. The market is expected to grow at a robust rate, with industry growth estimates reaching 15% annually. This growth is fueled by the ongoing need for healthcare cost reduction, quality improvement initiatives, and the integration of technology into healthcare delivery.

How is this Population Health Management Industry segmented?

The population health management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Software
  Services


End-user

  Large enterprises
  SMEs


Delivery Mode

  On-Premise
  Cloud-Based
  Web-Based


End-Use

  Providers
  Payers
  Employer Groups
  Government Bodies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The market's software segment is experiencing significant growth and innovation, driven by various components that enhance healthcare organizations' capacity to manage and enhance the health outcomes of diverse populations. Population health management platforms aggregate and integrate data from multiple sources, includin

Depicted on this map is the extent of New France at its territorial height circa 1740 prior to its great territorial losses to British North America. Also shown on the map are the territorial claims, administrative divisions, and the distribution of population and settlement (including fur trading posts) circa 1740. This map along with British North America circa 1823 shows the settlement and population in Canada for two important periods in Canadian history prior to Confederation.

The empirical dataset is derived from a survey carried out on 25 estates in 14 cities in nine different European countries: France (Lyon), Germany (Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands (Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain (Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar survey was constructed for all 25 estates.

The survey was carried out between February and June 2004. In each case, a random sample was drawn, usually from the whole estate. For some estates, address lists were used as the basis for the sample; in other cases, the researchers first had to take a complete inventory of addresses themselves (for some deviations from this general trend and for an overview of response rates, see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to carry out the survey. They worked under the supervision of the RESTATE partners. Briefings were organised to instruct the survey teams. In some cases (for example, in Amsterdam and Utrecht), interviewers were recruited from specific ethnic groups in order to increase the response rate among, for example, the Turkish and Moroccan residents on the estates. In other cases, family members translated questions during a face-to-face interview. The interviewers with an immigrant background were hired in those estates where this made sense. In some estates it was not necessary to do this because the number of immigrants was (close to) zero (as in most cases in CE Europe).

The questionnaire could be completed by the respondents themselves, but also by the interviewers in a face-to-face interview.

Data and Representativeness

The data file contains 4756 respondents. Nearly all respondents indicated their satisfaction with the dwelling and the estate. Originally, the data file also contained cases from the UK.

However, UK respondents were excluded from the analyses because of doubts about the reliability of the answers to the ethnic minority questions. This left 25 estates in nine countries. In general, older people and original populations are somewhat over-represented, while younger people and immigrant populations are relatively under-represented, despite the fact that in estates with a large minority population surveyors were also employed from minority ethnic groups. For younger people, this discrepancy probably derives from the extent of their activities outside the home, making them more difficult to reach. The under-representation of the immigrant population is presumably related to language and cultural differences. For more detailed information on the representation of population in each case, reference is made to the reports of the researchers in the different countries which can be downloaded from the programme website. All country reports indicate that despite these over- and under-representations, the survey results are valuable for the analyses of their own individual situation.

This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.

In 1938, the year before the outbreak of the Second world War, the countries with the largest populations were China, the Soviet Union, and the United States, although the United Kingdom had the largest overall population when it's colonies, dominions, and metropole are combined. Alongside France, these were the five Allied "Great Powers" that emerged victorious from the Second World War. The Axis Powers in the war were led by Germany and Japan in their respective theaters, and their smaller populations were decisive factors in their defeat. Manpower as a resource In the context of the Second World War, a country or territory's population played a vital role in its ability to wage war on such a large scale. Not only were armies able to call upon their people to fight in the war and replenish their forces, but war economies were also dependent on their workforce being able to meet the agricultural, manufacturing, and logistical demands of the war. For the Axis powers, invasions and the annexation of territories were often motivated by the fact that it granted access to valuable resources that would further their own war effort - millions of people living in occupied territories were then forced to gather these resources, or forcibly transported to work in manufacturing in other Axis territories. Similarly, colonial powers were able to use resources taken from their territories to supply their armies, however this often had devastating consequences for the regions from which food was redirected, contributing to numerous food shortages and famines across Africa, Asia, and Europe. Men from annexed or colonized territories were also used in the armies of the war's Great Powers, and in the Axis armies especially. This meant that soldiers often fought alongside their former-enemies. Aftermath The Second World War was the costliest in human history, resulting in the deaths of between 70 and 85 million people. Due to the turmoil and destruction of the war, accurate records for death tolls generally do not exist, therefore pre-war populations (in combination with other statistics), are used to estimate death tolls. The Soviet Union is believed to have lost the largest amount of people during the war, suffering approximately 24 million fatalities by 1945, followed by China at around 20 million people. The Soviet death toll is equal to approximately 14 percent of its pre-war population - the countries with the highest relative death tolls in the war are found in Eastern Europe, due to the intensity of the conflict and the systematic genocide committed in the region during the war.