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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents median household incomes for various household sizes in Money Creek Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Household Sizes:
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 Money Creek township median household income. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in Money Creek township. It can be utilized to understand the trend in median household income and to analyze the income distribution in Money Creek township by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Money Creek township median household income. You can refer the same here
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The 2011/12 survey is the latest in a series of surveys carried out at approximately three year intervals. The methods and interview content have been kept as similar as possible to previous waves in order to make any trend comparisons as robust as possible.
The main aims of the SIES 2011/12 Survey were to:provide detailed information on the income, expenditure and debt levels of higher education (HE) students in England and Walesallow for analysis on larger and more memorable spending captured in the main questionnaire, as well as day-to-day spending recorded in the seven-day spending diaryprovide a baseline for assessing the impact of changes in student finance introduced in September 2012 for those starting HE in the 2012/13 academic yearFieldwork was conducted between February 2012 and June 2012. Please see the User Guide accompanying the SIES 2011/12 dataset for further information.
Secure Access Dataset and Related Studies: In the Secure Access version of SIES 2011/12 the raw financial variables have not been banded, as was the case for the standard End User Licence (EUL) version held by the UK Data Archive under SN 7611. The Archive also holds an EUL version of SIES 2007/08 under SN 6319.
The SIES 2011/12 dataset contains data relating to the following topics:course detailsbackgroundfeeshigher education-related incomerange of support receivedstudent choices and student supportother income sources (earnings, family, benefits, maintenance, money and gifts, savings)commercial creditexpenditureoverall financial position
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TwitterThis round of Eurobarometer surveys diverged from a focus on standard Eurobarometer measures, and instead assessed respondents' views on the perceived impact of new technologies, employment, moving, and issues related to people with disabilities. Interviews began by asking respondents if they felt important changes in the world were impacting them personally, how they felt about these changes, and what the impact of new technologies would be over the next five to ten years in terms of their daily lives, access to information, free time, feelings of security, risk of accidents, household chores, family and social relationships, and deterrence of criminal activities. They were asked how much they agreed that new technologies would reduce income inequalities, differences in educational and cultural opportunities, and the number of people excluded from society, as well as improve people's participation in the political process, create more possibilities for expressing one's opinions, provide more access to political representatives and the civil service via the Internet, and promote on-line voting for elections and referenda. Responses were also sought regarding who respondents felt benefited most from the Internet, if they had concerns about voting on-line, and who should deal with new ethical issues brought about by new technologies. Respondents were further questioned about whether they thought that over the next five to ten years people in general would undertake more or less work-related training, experience more or less work-related stress, change jobs more or less than today, work more or less hours per week, retire earlier or later, and what impact new technologies would have on employment opportunities. They were asked to what extent they agreed that it was necessary to master new technologies to find or keep a job, that the educational system taught new technology effectively, and that all pupils should have full access to new technologies, as well as who they thought should pay for work-related training on new technologies. Respondents with a job were asked how satisfied they were with their job in terms of earnings, job security, type of work, number of working hours, start and end times, length of travel time, how many times they had changed jobs in the last five years, how similar the skills required for their current job were to their previous job, and the reason for changing jobs. Those who thought they would change jobs in the next five years were asked if they thought the required skills would be similar or different and what would encourage them to make the change. Those who hadn't changed jobs in the last five years or didn't plan to change jobs in the next five years were asked why. All respondents with a job were also asked if they thought they would need new skills to improve future job prospects, if in the last year they had participated in training to improve their skills, and why they wanted or didn't want to improve their job skills. Respondents were next asked if they had moved in the last ten years or if they intended to move in the next five years. Those who had moved or intended to move were asked where, i.e., within the same city, different city-same region, different region-same country, different European Union (EU) country, or outside of the EU, and the reason for the move. Those not having moved and not intending to move were asked why not. All respondents were asked whether they would prefer to remain in their current region of residence or move to another region if they were unemployed, to what extent moving to a different geographical location in the next five years would improve their job prospects, if they would be willing to live in another EU country with a different language, how they felt about the number of foreigners in their country, and whether better career prospects, financial circumstances, social benefits, public services, or social life would encourage them to move. On the subject of the disabled, respondents were asked if they personally knew anyone (including a family member, friend, acquaintance, neighbor, colleague, client, pupil/student, or other) with a disability or infirmity that limited their activities, how at ease they felt in the presence of people with disabilities, and how at ease people in general felt in the presence of people with disabilities. They were asked how difficult they thought it was for certain groups of people with disabilities (i.e., blind, deaf, physically and intellectually disabled people) to access public transport and services, restaurants, university or school, their work place, sports events, and cultural events, whether access to public places for people with disabilities had improved over the last ten years, who was actually responsible for making improvements in these matters (e.g., local authorities, national government, nongovernmental organizations, the EU, etc.), and who should be responsible. They were asked to indicate how aware they were of each of 21 types of disabilities (e.g., visual, hearing, neuromuscular, skeletal, arthritis, cancer, Alzheimer's disease, Parkinson's disease, and others), what percent of the population in their country had a physical disability, how strongly they agreed that disabled persons should be more involved in society, that more money should be spent on removing physical barriers, and that children with disabilities should be taught in the same schools as other children, and whether they would feel at ease with a person in a wheelchair as their boss, next-door neighbor, colleague, a politician, an artist, a teacher, or a shop worker. Standard demographic information collected includes age, sex, occupation, nationality, marital status, vote intention, age at completion of full-time education, number of people in household, number of children under 15 in household, household income, size of locality, region of residence, religiousity, and language of interview (for select countries). (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR03211.v4. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.
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Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents median household incomes for various household sizes in Money Creek Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Household Sizes:
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 Money Creek township median household income. You can refer the same here