The FDA Adverse Event Reporting System (FAERS) contains information on medication errors, quality complaints and drug-related adverse events that were submitted to FDA (U.S. Food and Drug Administration) in 2018. The Demographics dataset contains patient demographic and administrative information, a single record for each event report.
This file includes Report Card teacher demographic data for the 2017-18 through 2023-24 school years. Data is disaggregated by state, ESD, LEA, and school level. Please review the notes below for more information.
FAERS database is designed to support the FDA’s post-marketing safety surveillance program for drug and therapeutic biologic products. The Demographics data file contains patient demographic and administrative information, a single record for each event report.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Lake View 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 Lake View. The dataset can be utilized to understand the population distribution of Lake View by age. For example, using this dataset, we can identify the largest age group in Lake View.
Key observations
The largest age group in Lake View, AR was for the group of age 50-54 years with a population of 53 (11.57%), according to the 2021 American Community Survey. At the same time, the smallest age group in Lake View, AR was the 35-39 years with a population of 7 (1.53%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Lake View Population by Age. You can refer the same here
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Equal Opportunity Commission Annual Report Data – Complainant demographic information presented as a time series
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 Alicia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Alicia. The dataset can be utilized to understand the population distribution of Alicia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Alicia. 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 Alicia.
Key observations
Largest age group (population): Male # 40-44 years (17) | Female # 40-44 years (18). 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 Alicia Population by Gender. You can refer the same here
This data asset was created in response to House Report 117-401, which stated, "The Committee directs the USAID Administrator, in consultation with the Director of the Office of Personnel Management and the Director of the Office of Management and Budget, to submit a report to the appropriate congressional committees, not later than 180 days after enactment of this Act, on USAID's workforce data that includes disaggregated demographic data and other information regarding the diversity of the workforce of USAID. Such report shall include the following data to the maximum extent practicable and permissible by law: 1) demographic data of USAID workforce disaggregated by grade or grade-equivalent; 2) assessment of agency compliance with the Equal Employment Opportunity Commission Management Directive 715; and 3) data on the overall number of individuals who are part of the workforce, including all U.S. Direct Hires, personnel under personal services contracts, and Locally Employed staff at USAID. The report shall also be published on a publicly available website of USAID in a searchable database format." This data asset fulfills the final part of this requirement, to publish the data in a searchable database format. The data are compiled from USAID's 2021 MD-715 report, available at https://www.usaid.gov/reports/md-715. The original data source is the system National Finance Center Insight owned by the Treasury Department.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Medicare provides access to medical and hospital services for all Australian residents and certain categories of visitors to Australia. The Medicare Benefits Schedule (MBS) lists services that are subsidised by the Australian Government under Medicare.
These reports provide patient age range and gender, number of services and total benefit amount per State/ Territory on Items in the MBS Schedule. An Item is a number that references a Medicare service. Item numbers are subject to change.
Data is provided in the following formats:
Excel/ xlxs: the human readable data for the current year is provided in individual excel files according to the relevant quarter. Historical data (1993-2015) may be found in the excel zipped file.
CSV: the machine readable data for the current year is provided in individual csv files according to the relevant quarter. Historical data (1993-2015) may be found in the csv zipped file.
Additional Medicare statistics may be found on the Department of Human Services website.
Disclaimer: The information and data contained in the reports and tables have been provided by Medicare Australia for general information purposes only. While Medicare Australia takes care in the compilation and provision of the information and data, it does not assume or accept liability for the accuracy, quality, suitability and currency of the information or data, or for any reliance on the information and data. Medicare Australia recommends that users exercise their own care, skill and diligence with respect to the use and interpretation of the information and data.
A dataset that has unique Children and Youth beneficiary (under age 21) counts by population, State Fiscal Year, and demographic group.
The world population surpassed eight billion people in 2022, having doubled from its figure less than 50 years previously. Looking forward, it is projected that the world population will reach nine billion in 2038, and 10 billion in 2060, but it will peak around 10.3 billion in the 2080s before it then goes into decline. Regional variations The global population has seen rapid growth since the early 1800s, due to advances in areas such as food production, healthcare, water safety, education, and infrastructure, however, these changes did not occur at a uniform time or pace across the world. Broadly speaking, the first regions to undergo their demographic transitions were Europe, North America, and Oceania, followed by Latin America and Asia (although Asia's development saw the greatest variation due to its size), while Africa was the last continent to undergo this transformation. Because of these differences, many so-called "advanced" countries are now experiencing population decline, particularly in Europe and East Asia, while the fastest population growth rates are found in Sub-Saharan Africa. In fact, the roughly two billion difference in population between now and the 2080s' peak will be found in Sub-Saharan Africa, which will rise from 1.2 billion to 3.2 billion in this time (although populations in other continents will also fluctuate). Changing projections The United Nations releases their World Population Prospects report every 1-2 years, and this is widely considered the foremost demographic dataset in the world. However, recent years have seen a notable decline in projections when the global population will peak, and at what number. Previous reports in the 2010s had suggested a peak of over 11 billion people, and that population growth would continue into the 2100s, however a sooner and shorter peak is now projected. Reasons for this include a more rapid population decline in East Asia and Europe, particularly China, as well as a prolongued development arc in Sub-Saharan Africa.
This report details population and socioeconomic statistics of Taze township. This report is a series of Township level reports published as part of the 2014 Population and Housing Census.The 2014 Population and Housing Census - the country’s first national census in 30 years – was undertaken by the Ministry of Immigration and Population with technical support from UNFPA between 30th March and 10th April 2014. 110,000 enumerators visited over 12 million households to gather data to provide social, economic and demographic characteristics of people and households for the purpose of on-going reforms, development planning and good governance. The results will be made public progressively as each stage of analysis is completed. Further information is available through http://www.dop.gov.mm/moip/ and http://countryoffice.unfpa.org/myanmar/census/
As of February 2025, there were 5.56 billion internet users worldwide, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2024. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of April 2024. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Asia was home to the largest number of online users worldwide – over 2.93 billion at the latest count. Europe ranked second, with around 750 million internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2023, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in the Arab States and Africa, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller gender gap. As of 2023, global internet usage was higher among individuals between 15 and 24 years across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Datto 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 Datto. The dataset can be utilized to understand the population distribution of Datto by age. For example, using this dataset, we can identify the largest age group in Datto.
Key observations
The largest age group in Datto, AR was for the group of age 0-4 years with a population of 16 (17.02%), according to the 2021 American Community Survey. At the same time, the smallest age group in Datto, AR was the 10-14 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Datto Population by Age. You can refer the same here
According to a survey conducted in 2022, the majority of public K-12 teachers reported that their school had procedures to keep exterior doors locked during school hours, and had locks or other measures for interior doors, at 91 percent and 90 percent respectively. However, only eight percent indicated that their schools had metal detectors or other screening at school entrances in place. In comparison, teachers in higher-poverty schools, in schools located in urban areas, and in schools which primarily served students of color were more likely to report that their schools had metal detectors or other screening in place.
According to a survey of internet users conducted in the United States between February and June, 2024, 14 percent of Black Americans reported having ever used Reddit. Asian Americans appeared to be more likely than both Black and white Americans to have ever used the social media and community forum, with 36 percent of users in the demographic reporting to have used the popular forum and social media.
The poverty-fighting charity you work for wants to alleviate suffering among impoverished children in Detroit, a Michigan city which consistently ranks among America's poorest urban centers. In this lesson, you'll combine census-tract data with ArcGIS Living Atlas of the World demographic information to identify the most poverty-stricken neighborhoods. With that newly discovered knowledge, you'll configure an app which will help you articulate a report to top donors.
In this lesson you will build skills in the these areas:
Learn ArcGIS is a hands-on, problem-based learning website using real-world scenarios. Our mission is to encourage critical thinking, and to develop resources that support STEM education.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Edgewood 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 Edgewood. The dataset can be utilized to understand the population distribution of Edgewood by age. For example, using this dataset, we can identify the largest age group in Edgewood.
Key observations
The largest age group in Edgewood, IN was for the group of age 10 to 14 years years with a population of 199 (9.47%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Edgewood, IN was the 85 years and over years with a population of 52 (2.48%). 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 Edgewood Population by Age. You can refer the same here
Income determines where a person or family is on the path to opportunities like home ownership, education, job training and other components of the American Dream. If each income level is considered to be a step on the stairway to success, how many people occupy each step?In each urban area, this map checks the number of households found in the five lowest income groups that Esri demographics reports, and indicates which is the predominant (largest) low income group. The resulting patterns may surprise you. Zoom in on different regions of the country to see the actual urban boundaries.The data shown is from Esri's 2015 Demographic estimates using Census 2010 geographic boundaries. Esri offers U.S. Updated Demographic (2017/2022) Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.
This report details population and socioeconomic statistics of Indaw township. This report is a series of Township level reports published as part of the 2014 Population and Housing Census.The 2014 Population and Housing Census - the country’s first national census in 30 years – was undertaken by the Ministry of Immigration and Population with technical support from UNFPA between 30th March and 10th April 2014. 110,000 enumerators visited over 12 million households to gather data to provide social, economic and demographic characteristics of people and households for the purpose of on-going reforms, development planning and good governance. The results will be made public progressively as each stage of analysis is completed. Further information is available through http://www.dop.gov.mm/moip/ and http://countryoffice.unfpa.org/myanmar/census/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Lake Grove 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 Lake Grove. The dataset can be utilized to understand the population distribution of Lake Grove by age. For example, using this dataset, we can identify the largest age group in Lake Grove.
Key observations
The largest age group in Lake Grove, NY was for the group of age 55-59 years with a population of 1,044 (9.40%), according to the 2021 American Community Survey. At the same time, the smallest age group in Lake Grove, NY was the 85+ years with a population of 269 (2.42%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Lake Grove Population by Age. You can refer the same here
The FDA Adverse Event Reporting System (FAERS) contains information on medication errors, quality complaints and drug-related adverse events that were submitted to FDA (U.S. Food and Drug Administration) in 2018. The Demographics dataset contains patient demographic and administrative information, a single record for each event report.