About this dataset

Context

The dataset tabulates the Country Life Acres population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Country Life Acres. The dataset can be utilized to understand the population distribution of Country Life Acres by age. For example, using this dataset, we can identify the largest age group in Country Life Acres.

Key observations

The largest age group in Country Life Acres, MO was for the group of age 60 to 64 years years with a population of 13 (16.25%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Country Life Acres, MO was the 40 to 44 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Country Life Acres is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Country Life Acres total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Life Acres Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Country Life Acres by race. It includes the distribution of the Non-Hispanic population of Country Life Acres across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Country Life Acres across relevant racial categories.

Key observations

Of the Non-Hispanic population in Country Life Acres, the largest racial group is White alone with a population of 74 (96.10% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Country Life Acres
• Population: The population of the racial category (for Non-Hispanic) in the Country Life Acres is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Country Life Acres total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Life Acres Population by Race & Ethnicity. You can refer the same here

This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

UK residents by broad country of birth and citizenship groups, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

Chart and table of India life expectancy from 1950 to 2025. United Nations projections are also included through the year 2100.

The burden of animal disease is widespread globally and is especially severe for developing countries dependent on livestock production. Ethiopia has the largest livestock population in Africa and the second-largest human population on the continent. Ethiopia is one of the fastest-growing economies in Africa; however, much of the population still lives in extreme poverty, and most households depend on agriculture. Animal disease negatively affects domestic livestock production and limits growth potential across the domestic agricultural supply chain. This research investigates the economic effects of livestock disease burden in Ethiopia by employing a computable general equilibrium model in tandem with animal health loss estimates from a compartmental livestock population model. Two scenarios for disease burden are simulated to understand the effects of improved animal health on domestic production, prices, trade, gross domestic product (GDP), and economic welfare in Ethiopia. Results show that improved animal health may increase Ethiopian GDP by up to 3.6%, which improves national welfare by approximately $US 2.5 billion. This research illustrates the economic effects of improved livestock health, which is critical for Ethiopian households and the national economy.

About this dataset

Context

The dataset tabulates the population of Country Life Acres by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Life Acres. The dataset can be utilized to understand the population distribution of Country Life Acres by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Life Acres. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Country Life Acres.

Key observations

Largest age group (population): Male # 60-64 years (11) | Female # 60-64 years (7). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Country Life Acres population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Life Acres is shown in the following column.
• Population (Female): The female population in the Country Life Acres is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Country Life Acres for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Life Acres Population by Gender. You can refer the same here

This dataset provides values for RETIREMENT AGE MEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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

Gross domestic product ranking table.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

About this dataset

Context

The dataset tabulates the Country Life Acres Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Country Life Acres, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Country Life Acres.

Key observations

Among the Hispanic population in Country Life Acres, regardless of the race, the largest group is of Cuban origin, with a population of 2 (66.67% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Country Life Acres
• Population: The population of the specific origin for Hispanic or Latino population in the Country Life Acres is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Country Life Acres total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Country Life Acres Population by Race & Ethnicity. You can refer the same here

Key figures on fertility, live and stillborn children and multiple births among inhabitants of The Netherlands. Available selections: - Live born children by sex; - Live born children by age of the mother (31 December), in groups; - Live born children by birth order from the mother; - Live born children by marital status of the mother; - Live born children by country of birth of the mother and origin country of the mother; - Stillborn children by duration of pregnancy; - Births: single and multiple; - Average number of children per female; - Average number of children per male; - Average age of the mother at childbirth by birth order from the mother; - Average age of the father at childbirth by birth order from the mother; - Net replacement factor. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from: 1950 Most of the data is available as of 1950 with the exception of the live born children by country of birth of the mother and origin country of the mother (from 2021, previous periods will be added at a later time), stillborn children by duration of pregnancy (24+) (from 1991), average number of children per male (from 1996) and the average age of the father at childbirth (from 1996). Status of the figures: The 2023 figures on stillbirths and (multiple) births are provisional, the other figures in the table are final. Changes per 17 December 2024: Figures of 2023 have been added. The provisional figures on the number of live births and stillbirths for 2023 do not include children who were born at a gestational age that is unknown. These cases were included in the final figures for previous years. However, the provisional figures show a relatively larger number of children born at an unknown gestational age. Based on an internal analysis for 2022, it appears that in the majority of these cases, the child was born at less than 24 weeks. To ensure that the provisional 2023 figures do not overestimate the number of stillborn children born at a gestational age of over 24 weeks, children born at an unknown gestational age have now been excluded. When will new figures be published? Final 2023 figures on the number of stillbirths and the number of births are expected to be added to the table in de third quarter of 2025. In the third quarter of 2025 final figures of 2024 will be published in this publication.

This dataset captures whether a minimum wage policy exists in a country and quantifies the monthly minimum wage level over time. The minimum wages recorded in this database apply only to private sector workers, unless it is stipulated in the sources that private sector minimum wages cannot be lower than public sector minimum wages. One exception is self-declared socialist economies where the government/public sector has traditionally been one of the largest employers; in this case, we recorded minimum wage levels for the public sector. In countries where the minimum wage is sector-specific or occupation-specific, we captured the minimum wage level applicable to either the manufacturing sector or unskilled workers. Scope: Longitudinal data is available for every year between 1995 and 2013 for the 121 countries that have been surveyed by either the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS) at least once between those dates.

In 2015 a team of researchers based in Greece, Italy, Turkey and Malta undertook interviews with refugees and migrants as well as stakeholders and observed events of the so-called ‘migration crisis’ as they unfolded. The dataset deposited here includes information on semi-structured interviews with a total of 500 refugees and migrants, 440 of whom had crossed the Mediterranean by boat in 2015 to Greece (215 interviews), Italy (205 interviews) and Malta (20 interviews) together with a further 60 respondents who had moved to Turkey and were considering making the onward journey to Europe. These countries reflected the key locations of the crisis. The initial analysis of the dataset has meant that it has been coded to record who was on the move, the journeys that they made and the routes that they took. This enables an examination of the relationship between micro-level characteristics and the geographies of migration that were recorded. Specifically the dataset here includes: 1. Methodological note - a description of the project, the approach to the fieldwork and the analysis undertaken 2. Individuals - data on the demographic and socio-economic characteristics of the interviewees. 3. Routes - data on the routes taken by our interviewees and the duration taken to travel along them. 4. Journeys - data setting out the individual stops and journeys recorded from each interviewee, travel method between them and duration of travel. This has been prepared for insertion into GIS Mapping software. In the first six months of 2015 more than 100,000 migrants crossed the Mediterranean, arriving at the shores of southern Europe in search of protection or a better life. In the same period more than 1,800 people lost their lives, drowning as overloaded and often unseaworthy boats sank into the sea. Although the crisis is in many ways nothing new, these scenes have captured the public and media imagination and have challenged the ability of European States to respond appropriately. Recent months have seen increasingly heated discussions at the national and EU level about whether rescues at sea are a vital humanitarian intervention or simply encourage others to attempt the crossing, and whether those who arrive can be dealt with through mandatory or voluntary relocation quotas. Many of these discussions are underpinned by assumptions about why it is that migrants make the journey to Europe in the first place. In this context the research aims to better understand the dynamics of migration in the Mediterranean region by providing the first large-scale, systematic and comparative study of the backgrounds, experiences, aspirations and routes of migrants in four European countries (Italy, Greece, Malta and Turkey) gathered from 550 migrants who have recently arrived and 100 stakeholders. The research pushes the theoretical and conceptual boundaries of migration studies, encouraging critical reflexive dialogue and practice by opening new and inclusive spaces for questioning and challenging established ways of categorising and thinking about with the Mediterranean migration crisis. In so doing it will create opportunities for increased policy dialogue and academic collaboration between the case study countries - and across the EU more generally - around the evidence gathered. The research is underpinned by a number of urgent research questions which inform the collection and analysis of the data: 1. What are the underlying factors shaping migration from countries of origin and how do the characteristics and backgrounds of migrants shape the response to structural issues? 2. What are the opportunity structures that shape, inform or constrain migrant journeys to Europe? 3. What are the differences between the Central Mediterranean (principally from Libya to Italy and Malta) and Eastern (Turkey to Greece) Mediterranean routes? 4. To what extent are migrant journeys to Europe, or particular countries within Europe, shaped or even determined by non-state actors (agents, facilitators and civil society)? 5. What are the impacts of policies intended to deter or prevent migrants from crossing the Mediterranean? The research will be delivered by a team of leading UK migration scholars from the Universities of Coventry, Oxford, Birmingham and Sussex working in collaboration with academic partners in the case study countries and supported by experts from international, governmental and non-governmental organisations. The team has established relationships with local civil society organisations that will facilitate access to research participants and provide advice and information on policy or other developments which could impact on the delivery of the project. The research will benefit a wide range of academic, governmental, international and civil society organisations and inform the development of strategic, political and policy responses to the migration crisis in the Mediterranean. This impact will be secured through a three-stage stage process involving: the production of evidence in formats accessible to a range of audiences; a clearly articulated process for securing impact involving dissemination events and outreach activities to connect the evidence with audiences that influence and inform the policy making process and; the development of cross-national networks of researchers, policy makers and practitioners to drive longer term policy change. These will create feedback loops and opportunities for further research. We carried out semi-structured interviews with a total of 500 refugees and migrants, 440 of whom had crossed the Mediterranean by boat in 2015 to Greece (215 interviews), Italy (205 interviews) and Malta (20 interviews) together with a further 60 respondents who had moved to Turkey and were considering making the onward journey to Europe. Our approach to the fieldwork had to be agile and the sampling strategy purposive in order to adapt to different social and political contexts as well us enabling us to interview people who had recently arrived as well as those who were looking to transit onwards.

The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

In 2019, there were approximately 302,020 British citizens living in Spain, with a further 293,061 in Ireland and 176,672 in France. By comparison, there were only 604 British people living in Slovenia, the fewest of any European Union member state. As a member of the European Union, British citizens had the right to live and work in any EU member state. Although these rights were lost for most British citizens after the UK left the EU in 2020, Britons already living in EU states were able to largely retain their previous rights of residence. EU citizens living in the UK EU citizens living in the UK face the same dilemma that British nationals did regarding their legal status after Brexit. In the same year, there were 902,000 Polish citizens, 404,000 Romanians, and 322,000 people from the Republic of Ireland living in the UK in that year, along with almost 2 million EU citizens from the other 24 EU member states. To retain their rights after Brexit, EU citizens living in the UK were able to apply for the EU settlement scheme. As of March 2024, there have been around 7.9 million applications to this scheme, with Romanian and Polish nationals the most common nationality at 1.71 million applications, and 1.23 million applications respectively. Is support for Brexit waning in 2024? As of May 2024, the share of people in the UK who think leaving the EU was the wrong decision stood at 55 percent, compared with 31 percent who think it was the correct choice. In general, support for Brexit has gradually eroded since April 2021, when 46 percent of people supported Brexit, compared with 43 percent who regretted it. What people think Britain's relationship with the EU should be is, however, still unclear. A survey from November 2023 indicated that just 31 percent thought the UK should rejoin the EU, with a further 11 percent supporting rejoining the single market, but not the EU. Only ten percent of respondents were satisfied with the current relationship, while nine percent wished to reduce ties even further.