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 Upsala by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Upsala. The dataset can be utilized to understand the population distribution of Upsala by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Upsala. 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 Upsala.
Key observations
Largest age group (population): Male # 30-34 years (30) | Female # 35-39 years (21). 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 Upsala Population by Gender. You can refer the same here
Population density of Uppsala län increased by 1.86% from 42.9 inhabitants per sq. km in 2015 to 43.7 inhabitants per sq. km in 2016. Since the 2.70% rise in 2006, population density shot up by 15.00% in 2016.
Overall, there has been an increase in the number of students at Uppsala University in Sweden since 2010. Especially in 2020 and 2021, after the COVID-19 pandemic hit, the numbers reached nearly 30,000. In 2022, more than 28,000 students studied full-time at Uppsala University.
Uppsala University was founded in 1477 and is the oldest university in Sweden and in all of the Nordic countries. The university has nine faculties.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Upsala population by age. The dataset can be utilized to understand the age distribution and demographics of Upsala.
The dataset constitues the following three datasets
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/.
354.164 (Persons) in 2016.
226.895 (Persons) in 2016.
10,2 (%) in 2013.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Upsala by race. It includes the distribution of the Non-Hispanic population of Upsala across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Upsala across relevant racial categories.
Key observations
Of the Non-Hispanic population in Upsala, the largest racial group is White alone with a population of 382 (97.70% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories 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 Upsala Population by Race & Ethnicity. You can refer the same here
https://www.scilifelab.se/data/restricted-access/https://www.scilifelab.se/data/restricted-access/
A high-quality map of genetic variation in the Swedish population based on a representative cross-section of 1000 individuals.
65.340 (Persons) in 2016.
176,681 (Persons) in 2016.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cohort profile within the population I and II: The Uppsala Birth Cohort Multigenerational Study (UBCoS Multigen).
43,7 (Inhabitants per sq. km) in 2016.
61.929 (Persons) in 2016.
3,5 (%) in 2013.
As of the fall semester of 2023, Stockholm University was the largest university in Sweden in terms of registered students. 37,000 students were registered at the university in the Swedish capital. The University of Gothenburg was the second largest, followed by Uppsala University. 383,000 students were registered at universities and other higher education institutions in Sweden in 2023. Stockholm University is ranked among the world’s top 100 universities. High share of the population with higher education degrees A high number of the Swedish population has a higher education. This goes especially for women, where almost 30 percent has a post-secondary education of three years or more. The share of men with this is just below 20 percent. Long tradition of state financial aid Swedish residents who are studying can apply for student grants, and loans with a low interest rate. Over 200,000 students in Sweden received both subsidies and loans in 2021. Furthermore, students in Sweden do not have to pay tuition fees.
This survey was made at the request of the County Council of Uppsala, and the aim of the survey was to map the freetime habits of the gainfully employed population of the county. Questions were asked about the respondent's working conditions, leisure activities, opinions of different leisure activities, leisure activities organized by the employer or the trade union, holiday activities 1977, membership of organizations, and trade union engagement. There were also a number of questions about the leisure activities, and the medical care service organized by the County council.
This survey was made at the request of the County Council of Uppsala, and the aim of the survey was to map the freetime habits of the gainfully employed population of the county. Questions were asked about the respondent's working conditions, leisure activities, opinions of different leisure activities, leisure activities organized by the employer or the trade union, holiday activities 1977, membership of organizations, and trade union engagement. There were also a number of questions about the leisure activities, and the medical care service organized by the County council.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Hazard ratios (HR) and 95%CI for alcohol-related disorders (ARD) in offspring in population I (G2) by grandparental (G0) and parental (G1) social classes stratified by gender: The Uppsala Birth Cohort Multigenerational Study (UBCoS Multigen).
https://snd.se/en/search-and-order-data/using-datahttps://snd.se/en/search-and-order-data/using-data
The Swedish Mammography Cohort (SMC) is a large population-based cohort of over 60,000 women in the counties of Uppsala and Västmanland. All women born 1914-1948 who were residing in Västmanland and Uppsala County and in the years 1987-1990 received an invitation to participate in a mammography screening programme were asked to answer a questionnaire about diet and lifestyle. Approximately 66,000 women answered the questionnaire. In the autumn 1997, a second survey was sent to these women to update the information about their eating habits. Additional follow-ups were done 2008/2009 and 2019. The study examine associations of environmental/modifiable risk factors with several cancer sites (e.g., breast, colorectal, endometrium, ovary, and renal cell cancer), myocardial infarction, stroke, osteoporosis, cataracts, as well as death causes. The study has a longitudinal design, and to complement the update on exposure data record linkages to the nationwide Cancer Register, the In-Patient Register, and the Cause of Death Register and Population Register are also done.
The questionnaires used in the Swedish Mammography Cohort are the same as the ones that have been used in the Cohort of Swedish Men (COSM). For updated information on questionnaires and variable lists please visit https://www.simpler4health.se/researchers/.
Purpose:
The general aim of the Swedish Mammography Cohort (SMC) is to assess relationships between a number of modifiable factors (diet, vitamin supplement use, physical activity, smoking, alcohol, body weight, other anthropometric measures etc.) and the occurrence of several major chronic diseases.
For more detailed information please visit the SIMPLER website, https://www.simpler4health.se/researchers/cohorts/.
For restrictions in data use see https://www.simpler4health.se/researchers/rules-and-guidelines/ and https://www.simpler4health.se/researchers/publication-policy/.
The Lifestyle questionnaire used in 2009 was sent in September 2019 to all respondents answering the Health questionnaire 2019 sent in January and were alive. The questionnaire can be found at https://www.simpler4health.se/researchers/questionnaires/.
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 Upsala by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Upsala. The dataset can be utilized to understand the population distribution of Upsala by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Upsala. 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 Upsala.
Key observations
Largest age group (population): Male # 30-34 years (30) | Female # 35-39 years (21). 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 Upsala Population by Gender. You can refer the same here