In 2022, ** percent of surveyed Generation Z said that protecting access to clean water and fresh air was important to the kind of America in which they want to live, followed by ** percent who advocated for the importance of reducing gun violence and mass shootings in America. A Gen Z perspective These findings may reflect the fact that Americans have been experiencing a rise in gun-related violence, mass shootings, and climate change concerns in the last few years, at the same time that Gen Z has been aging into adulthood. In addition, Gen Z have had to grow up in midst of political tension following social conflicts such as the COVID-19 pandemic disproportionately affecting marginalized groups, race-related protests over police brutality, and a ban on abortion recently implemented in many U.S. states, making it unsurprising that the majority of the generation also promoted the importance of preserving individual rights and freedoms, addressing systemic racism, upholding women’s reproductive rights, and safeguarding the rights of vulnerable populations. Generational differences Differing from older generations in the U.S., Gen Z were least likely to identify as Republican, to trust in the government, and to say that they are proud to live in the United States, with only ** percent of Gen Z being proud to live in the U.S. in comparison to ** percent of Baby Boomers. Gen Z were also found less likely to have a religious upbringing or have participated in religious services when they were growing up. In addition, they were found more likely to identify as part of the LGBTQ community.

The projections are based upon actual values obtained in 2015, and estimates obtained for 2016. A full list of all projections, including historical projections, can be found at http://apps.treasury.act.gov.au/demography/projections/act.

These population projections are not intended to present predictions of the demographic future to any degree of reliability or precision.

The population projections contained here are the projected population resulting from certain assumptions about future trends in fertility, mortality and migration trends.

Future population trends are influenced by a variety of social, economic and political factors, with significant fluctuation in short-term population growth rates as well as in the underlying social, economic and political influencers. Numerous behavioural assumptions are required to be made for each age cohort and sex. Many of these assumptions will be swamped by the random impacts on the future movements of individuals through births, deaths, and relocation.

Neither the authors nor the ACT Government give warranty in relation to these projections, and no liability is accepted by the authors or the Government or any other person who assisted in the preparation of the publication, for errors and omissions, loss or damage suffered as a result of any person acting in reliance thereon.

Population dynamics, its types. Population migration (external, internal), factors determining it, main trends. Impact of migration on population health.

Under the guidance of Moldoev M.I. Sir By Riya Patil and Rutuja Sonar

Abstract

Population dynamics influence development and vice versa, at various scale levels: global, continental/world-regional, national, regional, and local. Debates on how population growth affects development and how development affects population growth have already been subject of intensive debate and controversy since the late 18th century, and this debate is still ongoing. While these two debates initially focused mainly on natural population growth, the impact of migration on both population dynamics and development is also increasingly recognized. While world population will continue growing throughout the 21st century, there are substantial and growing contrasts between and within world-regions in the pace and nature of that growth, including some countries where population is stagnating or even shrinking. Because of these growing contrasts, population dynamics and their interrelationships with development have quite different governance implications in different parts of the world.

1. Population Dynamics

Population dynamics refers to the changes in population size, structure, and distribution over time. These changes are influenced by four main processes:

Birth rate (natality)

Death rate (mortality)

Immigration (inflow of people)

Emigration (outflow of people)

Types of Population Dynamics

Natural population change: Based on birth and death rates.

Migration-based change: Caused by people moving in or out of a region.

Demographic transition: A model that explains changes in population growth as societies industrialize.

Population distribution: Changes in where people live (urban vs rural).

2. Population Migration

Migration refers to the movement of people from one location to another, often across political or geographical boundaries.

Types of Migration

External migration (international):

Movement between countries.

Examples: Refugee relocation, labor migration, education.

Internal migration:

Movement within the same country or region.

Examples: Rural-to-urban migration, inter-state migration.

3. Factors Determining Migration

Migration is influenced by push and pull factors:

Push factors (reasons to leave a place):

Unemployment

Conflict or war

Natural disasters

Poverty

Lack of services or opportunities

Pull factors (reasons to move to a place):

Better job prospects

Safety and security

Higher standard of living

Education and healthcare access

Family reunification

4. Main Trends in Migration

Urbanization: Mass movement to cities for work and better services.

Global labor migration: Movement from developing to developed countries.

Refugee and asylum seeker flows: Due to conflict or persecution.

Circular migration: Repeated movement between two or more locations.

Brain drain/gain: Movement of skilled labor away from (or toward) a country.

5. Impact of Migration on Population Health

Positive Impacts:

Access to better healthcare (for migrants moving to better systems).

Skills and knowledge exchange among health professionals.

Remittances improving healthcare affordability in home countries.

Negative Impacts:

Migrants’ health risks: Increased exposure to stress, poor living conditions, and occupational hazards.

Spread of infectious diseases: Especially when health screening is lacking.

Strain on health services: In receiving areas, especially with sudden or large influxes.

Mental health challenges: Due to cultural dislocation, discrimination, or trauma.

Population dynamics is one of the fundamental areas of ecology, forming both the basis for the study of more complex communities and of many applied questions. Understanding population dynamics is the key to understanding the relative importance of competition for resources and predation in structuring ecological communities, which is a central question in ecology.

Population dynamics plays a central role in many approaches to preserving biodiversity, which until now have been primarily focused on a single species approach. The calculation of the intrinsic growth rate of a species from a life table is often the central piece of conservation plans. Similarly, management of natural resources, such as fisheries, depends on population dynamics as a way to determine appropriate management actions.

Population dynamics can be characterized by a nonlinear system of difference or differential equations between the birth sizes of consecutive periods. In such a nonlinear system, when the feedback elasticity of previous events on current birth size is larger, the more likely the dynamics will be volatile. Depending on the classification criteria of the population, the revealed cyclical behavior has various interpretations. Under different contextual scenarios, Malthusian cycles, Easterlin cycles, predator–prey cycles, dynastic cycles, and capitalist–laborer cycles have been introduced and analyzed

Generally, population dynamics is a nonlinear stochastic process. Nonlinearities tend to be complicated to deal with, both when we want to do analytic stochastic modelling and when analysing data. The way around the problem is to approximate the nonlinear model with a linear one, for which the mathematical and statistical theories are more developed and tractable. Let us assume that the population process is described as:

(1)Nt=f(Nt−1,εt)

where Nt is population density at time t and εt is a series of random variables with identical distributions (mean and variance). Function f specifies how the population density one time step back, plus the stochastic environment εt, is mapped into the current time step. Let us assume that the (deterministic) stationary (equilibrium) value of the population is N* and that ε has mean ε*. The linear approximation of Eq. (1) close to N* is then:

(2)xt=axt−1+bϕt

where xt=Nt−N*, a=f

f(N*,ε*)/f

N, b=ff(N*,ε*)/fε, and ϕt=εt−ε*

The term population refers to the members of a single species that can interact with each other. Thus, the fish in a lake, or the moose on an island, are clear examples of a population. In other cases, such as trees in a forest, it may not be nearly so clear what a population is, but the concept of population is still very useful.

Population dynamics is essentially the study of the changes in the numbers through time of a single species. This is clearly a case where a quantitative description is essential, since the numbers of individuals in the population will be counted. One could begin by looking at a series of measurements of the numbers of particular species through time. However, it would still be necessary to decide which changes in numbers through time are significant, and how to determine what causes the changes in numbers. Thus, it is more sensible to begin with models that relate changes in population numbers through time to underlying assumptions. The models will provide indications of what features of changes in numbers are important and what measurements are critical to make, and they will help determine what the cause of changes in population levels might be.

To understand the dynamics of biological populations, the study starts with the simplest possibility and determines what the dynamics of the population would be in that case. Then, deviations in observed populations from the predictions of that simplest case would provide information about the kinds of forces shaping the dynamics of populations. Therefore, in describing the dynamics in this simplest case it is essential to be explicit and clear about the assumptions made. It would not be argued that the idealized population described here would ever be found, but that focusing on the idealized population would provide insight into real populations, just as the study of Newtonian mechanics provides understanding of more realistic situations in physics.

Population migration

The vast majority of people continue to live in the countries where they were born —only one in 30 are migrants.

In most discussions on migration, the starting point is usually numbers. Understanding changes in scale, emerging trends, and shifting demographics related to global social and economic transformations, such as migration, help us make sense of the changing world we live in and plan for the future. The current global estimate is that there were around 281 million international migrants in the world in 2020, which equates to 3.6 percent of the global population.

Overall, the estimated number of international migrants has increased over the past five decades. The total estimated 281 million people living in a country other than their countries of birth in 2020 was 128 million more than in 1990 and over three times the estimated number in 1970.

There is currently a larger number of male than female international migrants worldwide and the growing gender gap has increased over the past 20 years. In 2000, the male to female split was 50.6 to 49.4 per cent (or 88 million male migrants and 86 million female migrants). In 2020 the split was 51.9 to 48.1 per cent, with 146 million male migrants and 135 million female migrants. The share of

An increase in prices concerned over 60 percent of Russians in February 2022, recorded as the most worrying problem in the society. An issue of unemployment growth was named as one of the most critical by nearly three out of ten survey participants. Besides political and economic matters, the deterioration of the environmental situation and a morality crisis were named among the most worrying topics.

"This study deals primarily with the individual's preferences and opinions on population growth and family planning. Questions asked can be broken down into three categories: 1) family planning, including the ideal number of children, adoption of children, birth control information, abortion and sterilization; 2) social problems that stem from population size such as growth of cities and pollution problems; and 3) perception of population size in U.S. and other countries, including satisfacti on with present community and its size, and the part the government should play in population control."

Snapshot img

US Population Health Management (PHM) Market Size 2025-2029

The us population health management (phm) market size is forecast to increase by USD 6.04 billion at a CAGR of 7.4% between 2024 and 2029.

The Population Health Management (PHM) market in the US is experiencing significant growth, driven by the increasing adoption of healthcare IT solutions and analytics. These technologies enable healthcare providers to collect, analyze, and act on patient data to improve health outcomes and reduce costs. However, the high perceived costs associated with PHM solutions pose a challenge for some organizations, limiting their ability to fully implement and optimize these technologies. Despite this obstacle, the potential benefits of PHM, including improved patient care and population health, make it a strategic priority for many healthcare organizations. To capitalize on this opportunity, companies must focus on cost-effective solutions and innovative approaches to addressing the challenges of PHM implementation and optimization. By leveraging advanced analytics, cloud technologies, and strategic partnerships, organizations can overcome cost barriers and deliver better care to their patient populations.

What will be the size of the US Population Health Management (PHM) 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 Population Health Management (PHM) market in the US is experiencing significant advancements, integrating various elements to improve patient outcomes and reduce healthcare costs. Public health surveillance and data governance ensure accurate population health data, enabling healthcare leaders to identify health disparities and target interventions. Quality measures and health literacy initiatives promote transparency and patient activation, while data visualization and business intelligence facilitate data-driven decision-making. Behavioral health integration, substance abuse treatment, and mental health services address the growing need for holistic care, and outcome-based contracts incentivize providers to focus on patient outcomes. Health communication, community health workers, and patient portals enhance patient engagement, while wearable devices and mHealth technologies provide real-time data for personalized care plans. Precision medicine and predictive modeling leverage advanced analytics to tailor treatment approaches, and social service integration addresses the social determinants of health. Health data management, data storytelling, and healthcare innovation continue to drive market growth, transforming the industry and improving overall population health.

How is this market segmented?

The market 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. ProductSoftwareServicesDeploymentCloudOn-premisesEnd-userHealthcare providersHealthcare payersEmployers and government bodiesGeographyNorth AmericaUS

By Product Insights

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

Population Health Management (PHM) software in the US gathers patient data from healthcare systems and utilizes advanced analytics tools, including data visualization and business intelligence, to predict health conditions and improve patient care. PHM software aims to enhance healthcare efficiency, reduce costs, and ensure quality patient care. By analyzing accurate patient data, PHM software enables the identification of community health risks, leading to proactive interventions and better health outcomes. The adoption of PHM software is on the rise in the US due to the growing emphasis on value-based care and the increasing prevalence of chronic diseases. Machine learning, artificial intelligence, and predictive analytics are integral components of PHM software, enabling healthcare payers to develop personalized care plans and improve care coordination. Data integration and interoperability facilitate seamless data sharing among various healthcare stakeholders, while data visualization tools help in making informed decisions. Public health agencies and healthcare providers leverage PHM software for population health research, disease management programs, and quality improvement initiatives. Cloud computing and data warehousing provide the necessary infrastructure for storing and managing large volumes of population health data. Healthcare regulations mandate the adoption of PHM software to ensure compliance with data privacy and security standards. PHM software also supports care management services, patient engagement platforms, and remote patient monitoring, empowering patients

The projections are based upon actual values obtained in 2015, and estimates obtained for 2016. A full list of all projections, including historical projections, can be found at http://apps.treasury.act.gov.au/demography/projections/act. These population projections are not intended to present predictions of the demographic future to any degree of reliability or precision. The population projections contained here are the projected population resulting from certain assumptions about future trends in fertility, mortality and migration trends. Future population trends are influenced by a variety of social, economic and political factors, with significant fluctuation in short-term population growth rates as well as in the underlying social, economic and political influencers. Numerous behavioural assumptions are required to be made for each age cohort and sex. Many of these assumptions will be swamped by the random impacts on the future movements of individuals through births, deaths, and relocation. Neither the authors nor the ACT Government give warranty in relation to these projections, and no liability is accepted by the authors or the Government or any other person who assisted in the preparation of the publication, for errors and omissions, loss or damage suffered as a result of any person acting in reliance thereon.

ResourcesMapTeacher guide Student worksheetVocabulary and puzzlesSelf-check questionsGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.AP skills & objectives (CED)Skill 2.B: Explain spatial relationships in a specified context or region of the world, using geographic concepts, processes, models, or theories.IMP-2.A: Explain factors that account for contemporary and historical trends in population growth and decline.IMP-2.C: Explain how different causal factors encourage migration.Learning outcomesStudents will identify and explain why some regions of the world experience high and low net migration rates.Students will analyze the relationship between Lampedusa, Italy’s relative location and refugee migration.

Brazil and the United States are the two most populous countries in the Americas today. In 1500, the year that Pedro Álvares Cabral made landfall in present-day Brazil and claimed it for the Portuguese crown, it is estimated that there were roughly one million people living in the region. Some estimates for the present-day United States give a population of two million in the year 1500, although estimates vary greatly. By 1820, the population of the U.S. was still roughly double that of Brazil, but rapid growth in the 19th century would see it grow 4.5 times larger by 1890, before the difference shrunk during the 20th century. In 2024, the U.S. has a population over 340 million people, making it the third most populous country in the world, while Brazil has a population of almost 218 million and is the sixth most populous. Looking to the future, population growth is expected to be lower in Brazil than in the U.S. in the coming decades, as Brazil's fertility rates are already lower, and migration rates into the United States will be much higher. Historical development The indigenous peoples of present-day Brazil and the U.S. were highly susceptible to diseases brought from the Old World; combined with mass displacement and violence, their population growth rates were generally low, therefore migration from Europe and the import of enslaved Africans drove population growth in both regions. In absolute numbers, more Europeans migrated to North America than Brazil, whereas more slaves were transported to Brazil than the U.S., but European migration to Brazil increased significantly in the early 1900s. The U.S. also underwent its demographic transition much earlier than in Brazil, therefore its peak period of population growth was almost a century earlier than Brazil. Impact of ethnicity The demographics of these countries are often compared, not only because of their size, location, and historical development, but also due to the role played by ethnicity. In the mid-1800s, these countries had the largest slave societies in the world, but a major difference between the two was the attitude towards interracial procreation. In Brazil, relationships between people of different ethnic groups were more common and less stigmatized than in the U.S., where anti-miscegenation laws prohibited interracial relationships in many states until the 1960s. Racial classification was also more rigid in the U.S., and those of mixed ethnicity were usually classified by their non-white background. In contrast, as Brazil has a higher degree of mixing between those of ethnic African, American, and European heritage, classification is less obvious, and factors such as physical appearance or societal background were often used to determine racial standing. For most of the 20th century, Brazil's government promoted the idea that race was a non-issue and that Brazil was racially harmonious, but most now acknowledge that this actually ignored inequality and hindered progress. Racial inequality has been a prevalent problem in both countries since their founding, and today, whites generally fare better in terms of education, income, political representation, and even life expectancy. Despite this adversity, significant progress has been made in recent decades, as public awareness of inequality has increased, and authorities in both countries have made steps to tackle disparities in areas such as education, housing, and employment.

Nigeria's population structure reveals a youthful demographic, with those aged 0-29 years comprising the largest age group compared to the total of those between the ages of 30 and 84 years. The majority of the young population are men. This demographic trend has significant implications for Nigeria's future, particularly in terms of economic development and social services. It has the potential to offer a large future workforce that could drive economic growth if it is adequately educated and employed. However, without sufficient investment in health, education, and job creation, this youth bulge could strain public resources and fuel unemployment and social unrest. Poverty challenges amid population growth Despite Nigeria's large youth population, the country faces substantial poverty challenges. This is largely due to its youth unemployment rate, which goes contrary to the expectation that the country’s large labor force would contribute to employment and the economic development of the nation. In 2022, an estimated 68.6 million Nigerians lived in extreme poverty, defined as living on less than 2.15 U.S. dollars a day. This number is expected to rise in the coming years, indicating a growing disparity between population growth and economic opportunities. The situation is particularly dire in rural areas, where 60.9 million people live in extreme poverty compared to 7.7 million in urban centers. Linguistic and ethnic diversity Nigeria's population is characterized by significant linguistic and ethnic diversity. Hausa is the most commonly spoken language at home, used by 32 percent of the population, followed by Yoruba at 17 percent and Igbo at 13 percent. This linguistic variety reflects Nigeria's complex ethnic composition, with major groups including Hausa, Yoruba, Igbo, and Fulani. English, the country's official language, serves as the primary language of instruction in schools, promoting literacy across diverse communities.

BackgroundShenzhen has the largest and youngest foreign population among all cities in China. The reproductive health of pregnant women from different backgrounds is a social issue that deserves attention. In the past decade, China has liberalized its population policies to stimulate population growth, and the proportion of multiple births has continued to increase.MethodThis retrospective cohort included 526,654 newborns born in Baoan, Shenzhen, from January 1, 2009, to December 31, 2019, including 515,016 singletons and 11,638 twins or triplets. Univariate regression models were used to analyze the effects of maternal sociodemographic characteristics, physiological characteristics, medical history, antenatal care and other factors associated with single vs. multiple births and to elucidate the changing trends of different factors affecting multiple births in the past 11 years. Additionally, fetal development in multiple births was analyzed by generalized linear mixed models.ResultsThe rates of pregnancy complications, preterm birth, and advanced-age pregnancy were significantly higher in the multiple birth mothers than in single birth mothers, and more multiple pregnancies were achieved through assisted reproductive technologies. The rates of adverse outcomes such as stillbirth, malformation, hypoxia, and ultralow body weight in multiple fetuses were significantly higher than that in singleton fetuses. The trend analysis from 2009 to 2019 showed that the socioeconomic status and health level of mothers with multiple births improved over time, and the risk during pregnancy generally decreased. Simultaneously, the development indicators of multiple fetuses have improved year by year, and the proportion of adverse outcomes has also decreased significantly. A low pre-natal care utilization rate was shown to be detrimental to the development of multiple fetuses. Independent risk factors for hypoxia and very low birth weight were also identified. The differences in secular trends between two birth groups were further revealed by time series models.ConclusionThis study presented a comprehensive survey of multiple pregnancies in the area with the largest population inflow in China. This study identified the factors that affect the health of multiple birth mothers and their fetuses, particularly suggesting that preterm birth rates and the use of assisted reproduction remain high. The findings provide a basis for the formulation of individualized pre-natal care, assisted reproductive guidance and healthcare policies for multiple births.

The "Future of Europe" survey was carried out between 23 September and 2 October 2017 in the 28 EU Member States. It is part of a series of reports initiated in 2006. The "Future of Europe" report considers the EU in today's world: EU’s main assets and challenges, the EU's values and the EU in the world economy. Then it tackles some aspects of political and social life in the EU and issues related to the future of Europe. A first report from this survey on social issues was published in November 2017 in parallel with the Social summit for fair jobs and growth in Gothenburg.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

Abstract

The primary objective of SASAS is to design, develop and implement a conceptually and methodologically robust study of changing social attitudes and values in South Africa to be able to carefully and consistently monitor and explain changes in attitudes amongst various socio-demographic groupings. The SASAS explores a wide range of value changes, including the distribution and shape of racial attitudes and aspirations, attitudes towards democratic and constitutional issues, and the redistribution of resources and power. Moreover, there is also an explicit interest in mapping changing attitudes towards some of the moral issues that confront and are fiercely debated in South Africa, such as gender issues, AIDS, crime and punishment, governance, and service delivery. The SASAS is intended to provide a unique long-term account of the social fabric of modern South Africa, and of how its changing political and institutional structures interact over time with changing social attitudes and values.

Geographic coverage

National coverage

Analysis unit

The units of analysis in the study are households and individuals

Universe

The population under investigation includes adults aged 16 and older in private households in South Africa

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Design The South African Social Attitudes Survey has been designed to yield a representative sample of adults aged 16 and older. The sampling frame for the survey is the Human Sciences Research Council’s (HSRC) Master Sample, which was designed in 2002 and consists of 1 000 primary sampling units (PSUs). The 2001 population census enumerator areas (EAs) were used as PSUs. These PSUs were drawn, with probability proportional to size, from a pre-census 2001 list of EAs provided by Statistics South Africa.

The Master Sample excludes special institutions (such as hospitals, military camps, old age homes, school and university hostels), recreational areas, industrial areas and vacant EAs. It therefore focuses on dwelling units or visiting points as secondary sampling units, which have been defined as ‘separate (non-vacant) residential stands, addresses, structures, flats, homesteads, etc.’

As the basis of the 2004 SASAS round of interviewing, a sub-sample of 500 PSUs was drawn from the HSRC’s Master Sample. Three explicit stratification variables were used, namely province, geographic type and majority population group.

Within each stratum, the allocated number of PSUs was drawn using proportional to size probability sampling. In each of these drawn PSUs, two clusters of 7 dwelling units each were drawn. These 14 dwelling units in each drawn PSU were systematically grouped into 2 subsamples of seven, to give the two SASAS samples.

Number of units: Questionnaire 1: 2 497 cases realised from 3 500 addresses; questionnaire 2: 2 483 cases realised from 3 500 addresses; combined : 4980 cases

Mode of data collection

Face-to-face [f2f]

Research instrument

To accommodate the wide variety of topics that was included in the 2004 survey, two questionnaires were administered simultaneously. Apart from the standard set of demographic and background variables, each version of the questionnaire contained a harmonised core module that will remain constant from round to round, with the aim of monitoring change and continuity in a variety of socio-economic and socio-political variables. In addition, a number of themes will be accommodated on a rotational basis. This rotating element of the survey consists of two or more topic-specific modules in each round of interviewing and is directed at measuring a range of policy and academic concerns and issues that require more detailed examination at a specific point in time than the multi-topic core module would permit.

In respect of the two SASAS questionnaires, the questions contained in the core module (demographics and core thematic issues) were asked of all 7 000 respondents, while the remaining rotating modules were asked of a half sample of approximately 3 500 respondents each. The two different versions of the questionnaire were administered concurrently in each of the chosen sampling areas. Fieldworkers were required to complete a paper-based instrument while interviews were conducted face-to-face. Questions for the core module were asked of both samples (3 500 respondents each – 7 000) of which 5 583 were realised.

ISSP Module: The International Social Survey Programme (ISSP) is run by a group of research organisations, each of which undertakes to field annually an agreed module of questions on a chosen topic area. SASAS 2003 represents the formalisation of South Africa's inclusion in the ISSP, the intention being to include the module in one of the SASAS questionnaires in each round of interviewing. Each module is chosen for repetition at intervals to allow comparisons both between countries (membership currently stands at 40) and over time. In 2003, the chosen subject was national identity, and the module was carried in version 2 of the questionnaire (Qs.152-203).

The standard questionnaires dealt with democracy, identity, public services, social values, crime, voting, demographics, families and family authority The rotating modules in the 2004 survey covered: Questionnaire 1: Poverty, environment, democracy (part 2) Questionnaire 2: ISSP module (citizenship), democracy (part 2)

■Purpose and Overview Africa is a frontier with high potential due to population growth, but with Japanese companies entering the market, there is much room for further market development. Considering the medium- to long-term strategy and the growth rate of each country and region in developing emerging markets by Japanese companies, it is necessary to focus on African countries, which are the next emerging markets after the major ASEAN countries in which Japanese companies have already advanced to a considerable extent, and to create a foothold for development. Also, in order to expand market entry into Africa, it is important to accurately grasp local needs and create an environment for business development by solving social issues. For this purpose, a project to address sustainable growth in by solving social issues through digital and other innovative means, utilizing methods such as collaboration among Japanese companies, African companies, 3 companies and Japanese companies (Hereinafter referred to as "indirect subsidy program".). In this way, the Government will broaden the base of Japanese companies taking on challenges in Africa, expand private-sector partnerships between Japan and Africa, and promote the advancement of Japanese companies into Africa and business development.

■ Grounded Law Law on the Regulation of Enforcement by budget for grants in Relation to grant, etc. (Law No. 179 of August 27, 1955)

■ Eligibility: Private businesses that meet the following requirements are eligible. * For consortium-style applications, you must select an organizer and the organizer must submit a business proposal. (However, the organizer cannot entrust all the work to another person.) (1) Must be based in Japan. (2) The Company has the organization, personnel, etc. to perform the Business properly. (3) The applicant has a management base necessary for the smooth execution of the Project and sufficient management capability for funds, etc. (4) The applicant is not subject to suspension of grant issuance, etc. or suspension of designation from the Ministry of Economy, Trade and Industry. (5) To cooperate with the Ministry of Economy, Trade and Industry's efforts on EBPM . () Evidence-Based Policy Making (EBPM) refers to making policy planning based on evidence after clarifying policy objectives, rather than relying on ad hoc anecdotes. The promotion of EBPM, which selects effective policies based on accurate analysis of various statistics given limited budget for grants resources, has been included in the government's Basic Policies for Economic and Fiscal Management and Reform every year since 2017, and is expected to increase in importance going forward. (6) Immediately after the decision of the adopters, the results of the adoption ((a) the name of the adopter, (b) the amount of money adopted, (c) the attributes of examination members of the third party committee, (d) the summary of examination results of the third party committee, (e) the names of all the open tenders and the results of the scoring (In principle, the names of the rejected open tenders and the results of the scoring should be disclosed in a form that is not clear. However, in the case of a two-party application, even if the relationship between the two parties is speculated, it will be disclosed in consideration of the importance of ensuring transparency in large-scale projects. )) shall be published on the the Ministry of Economy, Trade and Industry website.

■ Geography (Enter the required geographical conditions here.)

■ Remarks (Please enter your remarks here.)

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The global medical-social work services market is experiencing robust growth, driven by several key factors. An aging global population, increasing prevalence of chronic diseases requiring ongoing care, and a rising demand for integrated healthcare models are significantly boosting market expansion. The integration of social work into healthcare settings improves patient outcomes, reduces hospital readmissions, and enhances overall patient satisfaction, leading to increased investment in these services. Technological advancements, such as telehealth platforms and electronic health records, are also streamlining workflows and expanding access to medical-social work services. Based on industry reports and observed growth trends in related sectors, we estimate the 2025 market size to be approximately $150 billion, with a Compound Annual Growth Rate (CAGR) of 7% projected from 2025 to 2033. This growth is further fueled by the increasing awareness of mental health issues and the expanding role of social workers in addressing social determinants of health, such as poverty, housing insecurity, and lack of access to resources. This contributes to a holistic approach to patient care, moving beyond purely clinical interventions. The market segmentation, encompassing services like patient intake screening, counseling, and education, across various settings including hospitals, nursing homes, and residential treatment centers, reflects the diverse applications and growing demand for this crucial healthcare support. While the market exhibits significant growth potential, some challenges remain. These include workforce shortages within the social work profession, particularly in underserved areas, reimbursement complexities, and the need for effective data integration across different healthcare systems. Despite these hurdles, the positive impact on patient care, increasing investment in healthcare infrastructure, and the growing emphasis on value-based care models will sustain and propel the market’s expansion throughout the forecast period. Competition among providers is intensifying, with established healthcare systems and specialized social work agencies vying for market share, driving innovation and service improvements. The market’s growth trajectory points to a continuously expanding role for medical-social work services in the future of healthcare.

The lack of a recent summarizing description of population density in Germany that contains detailed information of pre-industrial times motivated the author of this study to undertake an analysis of population history of Northern Germany between 1740 and 1840. The goal of the study is to analyze the development of population regarding different aspects of population history and historical demographics. The author tries to connect geographic data with family data and then he relates it with economic, political and cultural development. The main part of the study ‘population dynamics’ gives an overview over demographic developments in a century characterized by demographic changes. Insights in the general changes in population size, the phases of Northern German population development and in relevant components for increases in population (e.g. decrease in mortality) are given. Finally the population determinants are developed, first in a concrete regional historic context of some areas (Marsch, nordwestliches Binnenland, Münsterland, Ostwestfalen, Ostelbien) and then more general external factors are included in the analysis. The generative structure of pre-industrial population, the industrial development, seasonal work and colonization are covered. There is an extra chapter on the development of urban population which includes the factors: urbanization, decrease in mortality, first signs of birth controls and migration. These regional considerations are opposed to an investigation of the general framework of demographical changes. In this context also grain prices and prevention from smallpox are taken into account.

Systematic of the data:

Sub-regions: 1. Holstein 2. The Hanseatic cities 3. Mecklenburg and Wester Pomerania
4. Prussia’s middle provinces
5. Core area of Lower Saxony 6. Weser-Ems-Area 7. Westphalia

Topics: 1. Births (excl. still births) 2. Deaths (incl. still births) 3. Still births 4. Marriages 5. Illegitimate births
6. Infant and child mortality 7. Population status

Mortality tables: A. Holstein (Propsteien) 1775/98, 1801/05 B. East Friesland 1775/98, 1835/39 C. County of Mark und märkische Kreise 1775/98, 1820/34 D. Kurmark 1775/98, 1835/39

Register of data tables: - Probability of death decennially in the German Reich 1881/90 - Handed down census results from Braunschweig-Lüneburg - Advances is historical tables of Westphalia
- Migration balances of Prussian government districts 1816-1840 - Population and households in Hamburg 1764-1824 - Population in Northern Germany and Germany - Approximated values for net migration 1751-1840 - Age specific decline in mortality 1775/98-1835/39 - Decline in child mortality - Fertility and marriage behavior by family reconstruction - Proportion of singles by department s and arrodissements 1811 - Average age at birth ca. 1740-ca.1840 - Regression analysis on deaths (excl. children) – marriages - Regional differences in population increases - Population density and mortality 1780-1799 - Population balances of Marschgebiete und der Fehmarn Island - Population balances of North Western Germany (without Küstenmarsch) - Budget structures of the parish Vreden 1749 - Population balances of areas with high industry densities - Budget structures of County of Mark 1798 - Budget structures in Minden-Ravensburg and Tecklenburg 1798 - Natality, mortality and cottage industry in Ravensberg 1788-1798 - North Western German areas with low birth rates
- Colonists resident in Prussia 1740-1786 - Social structure of rural population 1750 – 1790/98 - Social structure of rural population in Halberstädter - Urban population (legal definition of city) - Mortality due to tuberculosis in rural and urban areas - Average mortality rates in large cities
- Infant mortality and decline in mortality in Berlin S - Rural and urban migration balances 1741/1778-1840 - Birth rates - Cumulative elasticity of population movement - Average marriage rates in Hannover in comparison - Mortality due to smallpox - Share of infant and child mortality due to smallpox -Magnitude of the decrease in child mortality - Reduction of infant mortality - Regional differences in the decline in infant mortality

The data can be requested via order form or by personal request via email or telephone. PDF-form and contact data: http://www.gesis.org/dienstleistungen/daten/daten-historische-sozialf/querschnittsdaten/

Throughout the Common Era, Japan's population saw relatively steady growth between each century. Failed invasions and distance from Asia's mainland meant that Japan was unaffected by many pandemics, primarily bubonic plague, therefore its development was not drastically impeded in the same way as areas such as China or Europe. Additionally, religious practices meant that hygiene was prioritized much more in Japan than in other regions, and dietary customs saw lower rates of meat consumption and regular boiling of water in meals or tea; both of these factors contributed to lower rates of infection for many parasitic or water-borne diseases. Fewer international conflicts and domestic stability also saw lower mortality in this regard, and Japan was an considered an outlier by Asian standards, as some shifting trends associated with the demographic transition (such as lower child mortality and fertility) began taking place in the 17th century; much earlier time than anywhere else in the world. Yet the most significant changes came in the 20th century, as Japan's advanced healthcare and sanitation systems saw drastic reductions in mortality. Challenges Japan's isolation meant that, when pandemics did arrive, the population had less protection and viruses could have higher mortality rates; smallpox has been cited as the deadliest of these pandemics, although increased international contact in the late 19th century brought new viruses, and population growth slowed. Earlier isolation also meant that crop failure or food shortages could leave large sections of the population vulnerable, and, as mentioned, the Japanese diet contained relatively little meat, therefore there was a higher reliance on crops and vegetables. It is believed that the shortage of arable land and the acidity of the soil due to volcanic activity meant that agriculture was more challenging in Japan than on the Asian mainland. For most of history, paddy fields were the most efficient source of food production in Japan, but the challenging nature of this form of agriculture and changes in employment trends gradually led to an increased reliance in imported crops. Post-Sakoku Japan Distance from the Asian mainland was not the only reason for Japan's isolation; from 1603 to 1853, under the Tokugawa shogunate, international trade was restricted, migration abroad was forbidden, and most foreign interaction was centered around Nagasaki. American neo-imperialism then forced Japan to open trade with the west, and Japan became an imperial power by the early-1900s. Japanese expansion began with a series of military victories against China and Russia at the turn of the century, and the annexation of Taiwan, Korea, and Manchuria by the 1930s, before things escalated further during its invasion of China and the Second World War. Despite its involvement in so many wars, the majority of conflicts involving Japan were overseas, therefore civilian casualties were much lower than those suffered by other Asian countries during this time. After Japan's defeat in 1945, its imperial ambitions were abandoned, it developed strong economic ties with the West, and had the fastest economic growth of any industrial country in the post-WWII period. Today, Japan is one of the most demographically advanced countries in the world, with the highest life expectancy in most years. However, its population has been in a steady decline for over a decade, and low fertility and an over-aged society are considered some of the biggest challenges to Japanese society today.

DESCRIPTION Albania - Human Development Indicators SUMMARY The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Methodology - Registry

Source: https://data.humdata.org/dataset/hdro-data-for-albania Last updated at https://data.humdata.org/organization/undp-human-development-reports-office : 2021-05-04

License - Creative Commons Attribution for Intergovernmental Organisations

Abstract

Statistical information on all aspects of the population is vital for the design, implementation and evaluation of economic and social development plan and policy issues. Labour force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic well being of the population. It is also an input for assessing the meeting of the Millennium Development Goals (MDGs) and the country's poverty reduction strategy framework for PASDEP (Plan for Accelerated and Sustained Development to End Poverty). Statistics on the labour force further deals with the measurement and the relationship between employment, income and other social and economic characteristics of the economically active and non active population. Seasonal and other variations as well as changes over time in the size and characteristics of the employment and unemployment can be monitored using up-to-date information from labour force surveys.

Thus, data on economic activity together with other labour force data would be of a springboard for a clear formulation, monitoring and evaluation of employment policies, programs and strategies on human resource development and various socio-economic plans at different levels in the country. This survey results provide data on the main characteristics of the work force engaged or available to be engaged in the production of economic goods and services and its distribution in the various sectors of the economy during a given reference period. Statistical information on all aspects of the population is vital for the design, implementation and evaluation of economic and social development plan and policy issues. Labour force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic well being of the population. It is also an input for assessing the meeting of the Millennium Development Goals (MDGs) and the country's poverty reduction strategy framework for PASDEP (Plan for Accelerated and Sustained Development to End Poverty). Statistics on the labour force further deals with the measurement and the relationship between employment, income and other social and economic characteristics of the economically active and non active population. Seasonal and other variations as well as changes over time in the size and characteristics of the employment and unemployment can be monitored using up-to-date information from labour force surveys.

Thus, data on economic activity together with other labour force data would be of a springboard for a clear formulation, monitoring and evaluation of employment policies, programs and strategies on human resource development and various socio-economic plans at different levels in the country. This survey results provide data on the main characteristics of the work force engaged or available to be engaged in the production of economic goods and services and its distribution in the various sectors of the economy during a given reference period.

Objectives of the Survey: The 2009 Urban Employment and Unemployment Survey program was designed to provide statistical data on the characteristics and size of the economic activity status i.e. employed, unemployed and the non-active population of the country at urban levels on annual basis. The data obtained from this survey will be useful for policy makers, planners, researchers, and other institutions and individuals engaged in the design, implementation and monitoring of human resource development projects and to assess and understand the performance of the economy.

The specific objectives of the 2009 Urban Employment and Unemployment Survey are: - collect statistical data on the potential manpower and those who are available to take part in various socio-economic activities; - up date the data and determine the size and distribution of the labour force participation and the status of economic activity for different sub-groups of the population; and also to study the socio-economic and demographic characteristics of these groups; - identify those who are actually contributing to the economic development (working population) and those out of the sphere the economy; - identify the size, distribution and characteristics of employed population i.e. working in the formal or informal employment sector of the economy and earnings for paid employees, type of occupation and Industry...etc; - provide data that can be used to assess the situation of women's employment or the participation of women in the labour force; - provide data on the size, characteristics and distribution of unemployed population and rate of unemployment; - identify the size and characteristics of children aged 5-17 years that were engaged in economic activities; - provide the generated time series data to trace changes over time

Geographic coverage

The 2009 Urban Employment and Unemployment Survey (UEUS) covered only urban parts of the country. Except three zones of Afar, six zones of Somali, where the residents are pastoralists all urban centers of the country were considered in this survey.

Analysis unit

• Household
• Individual aged 10 years and above

Universe

This survey follows household approach and covers households residing in conventional households and thus, population residing in the collective quarters such as universities/colleges, hotel/hostel, monasteries and homeless population etc., are not covered by this survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame: The list of households obtained from the 2007 Population and Housing Census is used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame in order to select households from sample EAs.

Sample Design: For the purpose of the survey the country was divided into two broad categories. That is major urban center and other urban center categories. Category I:- Major urban centers:- In this category all regional capitals and four other major urban centers that have a high population size as compared to others were included. Each urban center in this category was considered as a reporting level. The category has a total of 15 reporting levels. In this category, in order to select the sample, a stratified two-stage cluster sample design was implemented. The primary sampling units were EAs of each reporting level. Then from each sample EA 30 households were selected as a Second Stage Unit (SSU).

Category II: - Other urban centers: Urban centers in the country other than those under category I were grouped into this category. A domain of other urban centers is formed for each region. Consequently 8 reporting levels were formed in this category. Harari, Addis Ababa and Dire Dawa do not have urban centers other the one previously that grouped in category I. Hence, no domain was formed for these regions under this category.

A stratified three stage cluster sample design was adopted to select samples from this category II. The primary sampling units were other urban centers and the second stage sampling units were EAs. From each EA 30 households were finally selected at the third stage and the survey questionnaires administered to all of them.

Sample Size and Selection Scheme Category I:- In this category 371 EAs and 11,130 households were selected. Sample EAs from each reporting level in this category were selected using probability proportional to size systematic sampling; size being number of households obtained from the 2007 population and housing census. From the fresh list of households prepared at the beginning of the survey, 30 households per EA were systematically selected and covered by the study.

Category II:- 82 urban centers, 270 EAs and 8,100 households were selected in this category. Urban centers from each domain and EAs from each urban center were selected using probability proportional to size systematic method; size being number of households obtained from the 2007 Population and housing census. From the listing of each EA then 30 households were systematically selected and the study performed on the 30 households ultimately selected.

The distribution of planned and covered EAs and households and the Estimation procedures are given in the appendix in the final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire is organized into six sections; Section - 1: Area identification of the selected household: this section deals with area identification of respondents such as region, zone, wereda, etc. Section - 2: Particulars of household members: it consists of the general socio-demographic characteristics of the population such as age, sex, educational status, types of training and marital status. Section - 3: Economic activity during the last seven days: this section deal with whether persons were engaged in productive activities or not during the last seven days prior to date of interview, the status and characteristics of employed persons such as occupation, industry, employment status, hours of work, employment sector /formal and informal employment/ and earnings from paid employment. Section - 4: Unemployment rate and characteristics

The International Social Survey Program (ISSP) is an ongoing program of cross-national collaboration. Formed in 1983, the ISSP group develops topical modules dealing with important areas of social science as supplements to regular national surveys. This data collection is the second survey exploring the topic of environment (please see INTERNATIONAL SOCIAL SURVEY PROGRAM: ENVIRONMENT I, 1993 [ICPSR 6640] for the data from the initial survey on the same topic). Participating countries in the 2 000 survey included Austria, Bulgaria, Canada, Chile, Czech Republic, Denmark, Finland, Germany, Great Britain, Ireland, Israel, Japan, Latvia, Mexico, Netherlands, New Zealand, Northern Ireland, Norway, Philippines, Portugal, Russia, Slovenia, Spain, Sweden, Switzerland, and the United States. Respondents were queried on topics regarding nature and the environment, the role of science and scientific solutions to environmental problems, the effects of population and economic growth on the environment, protection of the environment through higher prices of goods or higher taxes, and the role of government, businesses, industries, and citizens in protecting the environment. Respondents were asked if they belonged to any groups whose main aim was to preserve or protect the environment, if they donated any money to environmental groups, and if they had ever protested, demonstrated, or signed a petition concerning environmental issues. Respondents were also asked questions about the greenhouse effect, the use of animals for medical testing, and health issues like exposure to chemicals, pesticides, and pollution. Respondents also expressed their views on the priorities of their nation. Demographics include sex, age, ethnicity or nationality, marital status, level of education, current employment status, family income, number of people living in household, religious denomination, trade union membership, political party affiliation, and region of the country and size of community where currently residing.