Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Trade Lake town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Trade Lake town. The dataset can be utilized to understand the population distribution of Trade Lake town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Trade Lake town. 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 Trade Lake town.
Key observations
Largest age group (population): Male # 30-34 years (63) | Female # 60-64 years (81). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Trade Lake town Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Trade Lake town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Trade Lake town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Trade Lake town, the median household income stands at $119,688 for householders within the 25 to 44 years age group, followed by $67,500 for the 65 years and over age group. Notably, householders within the 45 to 64 years age group, had the lowest median household income at $67,000.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Trade Lake town median household income by age. You can refer the same here
Count of the all apprenticeship registrations, for Canada, provinces and territories by gender, registration status, major trade group and sex.
A January 2024 survey in the United States revealed that the highest proportion of NHL fans who traded or collected trading cards were aged between 13 and 17. Meanwhile, only 11.5 percent of fans aged above 65 participated in the trading or collection of trading cards.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Trade Lake town 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 Trade Lake town. The dataset can be utilized to understand the population distribution of Trade Lake town by age. For example, using this dataset, we can identify the largest age group in Trade Lake town.
Key observations
The largest age group in Trade Lake, Wisconsin was for the group of age 60 to 64 years years with a population of 142 (14.33%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Trade Lake, Wisconsin was the 85 years and over years with a population of 10 (1.01%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Trade Lake town Population by Age. You can refer the same here
A January 2024 survey in the United States revealed that the highest proportion of MLB fans who traded or collected trading cards were aged between 18 and 24. Meanwhile, only nine percent of fans aged 65 or above participated in trading or collecting trading cards.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Nepal Labour Force Survey: Weekly Hour Worked: Wholesale, Retail & Trade data was reported at 51.900 Hour in 2008. Nepal Labour Force Survey: Weekly Hour Worked: Wholesale, Retail & Trade data is updated yearly, averaging 51.900 Hour from Dec 2008 (Median) to 2008, with 1 observations. Nepal Labour Force Survey: Weekly Hour Worked: Wholesale, Retail & Trade data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G016: Labour Force Survey: Average Hours Worked: Age 15 & Over: By Industry.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Count of the all apprenticeship completions, for Canada, provinces and territories by major trade group, age group and sex.
As of September 2024, customers in the age group of 50 to 59 years accounted for around 21 percent of online brokerage accounts with remaining balances at securities companies in Japan. Account holders in their twenties accounted for a share of 7.2 percent.
About the Apprenticeship Program
Apprenticeship is a model of learning that combines on-the-job and classroom-based training for employment in a skilled trade. To become an apprentice, an individual must be 16 years of age, have legal permission to work in Canada, meet the educational requirements for the chosen trade, and have a sponsor in Ontario who is willing to employ and train the individual during their apprenticeship. A sponsor is most often an employer, but can also be a union or trade association, and the sponsor must have access to the facilities, people, and equipment needed to train an individual in the trade. It takes between two and five years to complete an apprenticeship, and approximately 85 to 90 per cent of training takes place on-the-job. The remainder is spent in the classroom, which provides the theory to support the practical on-the-job training. The classroom component takes place at a Training Delivery Agent (TDA), which can be a college or a union training centre, and in most trades is undertaken for eight to twelve weeks at a time.
In Ontario the skilled trades are regulated by the Ontario College of Trades (OCoT), which includes setting training and certification standards for the skilled trades. At the outset of an apprenticeship the individual signs a training agreement with the Ministry of Labour, Training and Skills Development (MLTSD) which outlines the conditions of the apprenticeship, and within 90 days of signing the agreement the apprentice must register with OCoT. At the conclusion of the apprenticeship the individual may be required to write a Certificate of Qualification (CoQ) exam to demonstrate his/her knowledge and competency related to the tasks involved with the practice of the trade.
About This Dataset
This dataset contains data on apprentices in Ontario for each calendar year from 2011 through 2015 inclusive, showing the number of registered apprentices by trade, gender, and registration status (new or returning), and the average age, outcomes, and duration of registration. The data is aggregated from the annual data report by the government of Ontario to the Registered Apprenticeship Information System (RAIS), an annual national survey conducted by Statistics Canada and sponsored by Employment and Social Development Canada. This submission includes details on every apprentice registered in Ontario in the calendar year.
The purpose of the RAIS survey is to gather information on individuals who receive training and those who obtain certification within a trade where apprenticeship training is being offered. Each record in the survey is a registered apprentice or trade qualifier, and is collected by Statistics Canada through data requests to the provinces and territories, holders of the records for individuals in their jurisdiction. Further details of the survey are available on the website of Statistics Canada:
Survey InformationOnline Tables (via CANSIM)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Nepal Labour Force Survey: Unemployment: Male: WB: Wholesale, Retail & Trade data was reported at 4.000 Person th in 2008. Nepal Labour Force Survey: Unemployment: Male: WB: Wholesale, Retail & Trade data is updated yearly, averaging 4.000 Person th from Dec 2008 (Median) to 2008, with 1 observations. Nepal Labour Force Survey: Unemployment: Male: WB: Wholesale, Retail & Trade data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G013: Labour Force Survey: Unemployment: Age 15 & Over: By Industry.
HM Revenue & Customs (HMRC) has linked the overseas trade statistics (OTS) trade in goods data with the Office for National Statistics (ONS) business statistics sourced from the Inter-Departmental Business Register (IDBR). This experimental statistics release gives some expanded analyses showing overseas trade by business characteristics which provides information about the businesses that are trading those goods. This release focuses on trade by industry group, age of business and size of business (number of employees).
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Antiques; of an age exceeding 250 years in United States Virgin Islands from Jan 2019 to Feb 2025.
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates consumption, production, prices, and trade of Antiques; of an age exceeding 250 years in Free Zones from 2007 to 2024.
The trade union membership 2016 report uses the Labour Force Survey to provide an estimate of the levels and density of trade union membership for all UK workers. Estimates are presented by age, sex, ethnicity, income, full and part-time employment, sector, nation and region.
A January 2024 survey in the United States revealed that the highest proportion of NHL fans who traded or collected NFTs were aged between 18 and 24. Meanwhile, only 1.1 percent of fans aged between 50 and 64 traded or collected NFTs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Nepal Labour Force Survey: Unemployment: WB: Wholesale, Retail & Trade data was reported at 9.000 Person th in 2008. Nepal Labour Force Survey: Unemployment: WB: Wholesale, Retail & Trade data is updated yearly, averaging 9.000 Person th from Dec 2008 (Median) to 2008, with 1 observations. Nepal Labour Force Survey: Unemployment: WB: Wholesale, Retail & Trade data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G013: Labour Force Survey: Unemployment: Age 15 & Over: By Industry.
https://www.icpsr.umich.edu/web/ICPSR/studies/6748/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6748/terms
This round of Eurobarometer surveys queried respondents on standard Eurobarometer measures, such as how satisfied they were with their present life, whether they attempted to persuade others close to them to share their views on subjects they held strong opinions about, whether they discussed political matters, what their country's goals should be for the next ten years, and how they viewed the need for societal change. Additional questions focused on the respondents' knowledge of and opinions on the European Union (EU), including how well-informed they felt about the EU, what sources of information about the EU they used, whether their country had benefited from being an EU member, and the extent of their personal interest in EU matters. Another major focus of the surveys was expectations and fears regarding the EU. Respondents were asked whether they feared economic crisis, loss of power for smaller member states, increased crime, more foreign workers, language acculturation, richer member countries paying for less rich countries, slower decisions due to bureaucracy, disappearance of small and midsized farms, businesses, and fisheries, loss of social benefits, transfer of jobs, massive imports, more taxes, decisions being imposed by the bigger member countries, and loss of national identity. Respondents were also asked to evaluate the likelihood of such situations occurring. Expectations of the EU were assessed through questions concerning whether areas such as defense, employment, culture, environment, consumerism, agriculture and fishing, immigration, border control, transportation, importation, social justice, equality, law, crime, and research should be considered key priorities for the EU. Opinions were sought on the necessity of various policies to further EU progress, which groups of people (such as students, retirees, the unemployed, large companies, farmers) were in favor of the EU, and which countries and groups benefited most from the EU. Respondents also provided information as to which areas of policy they believed should be decided by the EU and which decided by their national governments. With respect to further progress in building Europe, respondents not only described their reactions to this concept but also indicated whether they thought it was necessary to implement a single internal market, a common agricultural policy, a European social policy, a European environment policy, one European foreign policy, one army, a European currency, one tax system, an elected European government, and European citizenship in addition to national citizenship. Demographic and other background information was elicited on the number of people residing in the home, household income, and region of residence, as well as the respondent's age, sex, marital status, occupation, and left-right political self-placement.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Nepal Labour Force Survey: Unemployment: Female: WB: Wholesale, Retail & Trade data was reported at 5.000 Person th in 2008. Nepal Labour Force Survey: Unemployment: Female: WB: Wholesale, Retail & Trade data is updated yearly, averaging 5.000 Person th from Dec 2008 (Median) to 2008, with 1 observations. Nepal Labour Force Survey: Unemployment: Female: WB: Wholesale, Retail & Trade data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G013: Labour Force Survey: Unemployment: Age 15 & Over: By Industry.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Living Conditions Surveys. Longer time series - Civic activities, trade union organization (employees 16-74 years) by indicator, age, sex, observations and period
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Trade Lake town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Trade Lake town. The dataset can be utilized to understand the population distribution of Trade Lake town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Trade Lake town. 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 Trade Lake town.
Key observations
Largest age group (population): Male # 30-34 years (63) | Female # 60-64 years (81). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Trade Lake town Population by Gender. You can refer the same here