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Each chart included in this dashboard offers a different way to view and understand the demographics of communities living near GHGRP facilities, as well as options for selecting a specific industry sector or demographic indicator.

This graph displays the number of facilities located in or near communities which meet or exceed the 80th percentile nationally for each key demographic indicator. You can explore the distribution of all facilities for a particular demographic indicator by selecting the label or bar for the indicator.

Download Demographic Data

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This graph compares the key demographics of communities near facilities in your selected sector to the national average. The national average for each demographic based on all Census block groups is shown in parentheses.

The map below displays the percentage of facilities in the selected sector within each state that are in communities which are at or exceed the 80th percentile nationally for the selected demopgrahic indicator. Click on a state to explore state-level data.

Government Code section 12011.5(n) requires the Judicial Council of California to collect and release aggregate demographic data relative to the gender, race/ethnicity, sexual orientation, gender identity, and veteran and disability status of California state court justices and judges, by specific jurisdiction each calendar year. The Governor and the Commission on Judicial Nominees Evaluations (JNE Commission) of the State Bar of California are required to collect and release similar information for judicial applicants.

In accordance with the requirements of Government Code section 12011.5(n), the Judicial Council has collected data pertaining to the demographic categories described above and prepared separate charts showing:

*The requirement for collection of information on sexual orientation and gender identity was passed by the Legislature (Senate Bill 182) in 2011, with the data to be released first in the 2012 report. Further, the additional requirement for the collection of information concerning veteran and disability status from new justices and judges was passed by the Legislature (Assembly Bill 1005) in 2013 and was released for the first time in the 2015 report.

Demographic data helps us to deepen our knowledge of the target audience, and to create our buyer personas. It is primarily used to strategically tailor offerings to specific target groups, and can serve as the basis for business analysis and performance reporting. Practical business intelligence relies on the synergy between analytics and reporting, where analytics uncovers valuable insights, and reporting communicates these findings to stakeholders.

Demographic data is information about groups of people according to certain attributes such as age, sex, and place of residence. It can include socioeconomic factors such as occupation, family status, or income.

In addition, the use of demographic data allows segmenting user groups, for example to establish a connection between people aged 18 to 24 with certain keywords and interests. This type of targeting is especially useful for remarketing campaigns.

At the same time, the legal use of this data should not be ignored: it should be anonymous, and the user should be informed about the collection of data, as well as about the use of cookies. Likewise, users must have the opportunity to object to data collection.

The Demographic Data Project compiles data analyzed from the U.S. Department of Housing and Urban Development (HUD) 2018 Point-in-Time Count to examine the rates of homelessness among different populations. This series works to promote equity, by examining data that illustrates different experiences of homelessness based on gender identity, race, and region.

During the 2018 Point-in-Time (PIT) Count, transgender and gender non-binary individuals were counted in almost every state and nearly two-thirds of the Continuums of Care (CoCs) in the country. Analysis from this data reveals that both groups are more likely to be unsheltered than cisgender adults.

Read the brief:

The first brief in the Demographic Data Project tells the data stories of transgender and non-binary people in the homeless services system. The analysis points to the increased vulnerability that these groups experience, and points to an urgent need for providers in every state and CoC to ensure equal access to services.

Read the brief:

The second brief in the Demographic Data Project analyzes population and unsheltered data through the lens of gender, offering a fuller understanding of male and female homelessness. The 2018 Point-in-Time (PIT) Count shows that men are far more likely to experience homelessness, and are far more likely to experience unsheltered homelessness than women. This analysis dives deeper into these disparities, and other data regarding gender and homelessness.

Race and ethnicity are dominant organizing factors in America. They impact where a person lives when they are born, how they die, and practically everything in between. Homelessness is no exception. The latest installment of the Demographic Data Project uses state and Continuum of Care (CoC) level data to gain greater insights into the intersections of race, ethnicity, and homelessness.

GAO found that tax data are not consistently linked to households' demographic information. The Internal Revenue Service (IRS) collects demographic data that are explicitly referenced in the tax code. According to the Department of the Treasury, IRS cannot collect demographic data under current law unless such data are necessary for administering the tax code. As a result, analysts have limited ability to assess the effects of tax laws, including COVID-19-related tax relief provisions, by demographics such as households' race, ethnicity, and sex.

Legal restrictions on interagency data sharing limit agencies' ability to analyze how the tax system interacts with households by demographic characteristics. Several entities, such as the Office of Management and Budget, have emphasized the importance of collecting and sharing demographic data for policy evaluation. Entities also highlight the importance of protecting the privacy and security of those data. GAO identified options for consistently producing linked taxpayer and demographic data, such as surveys and interagency data matching. Another option is to impute the demographic information of taxpayers. Treasury is developing an imputation method. While Treasury is evaluating the reliability and limitations of imputation, it has not evaluated the feasibility of other options to produce data that would support more reliable analyses.

If tax data could be linked to households' demographic data in a way that still protects the privacy and security of those data, policymakers and researchers would have better tools for consistently and systematically analyzing the relationship between tax policies and household demographics (see figure).

The U.S. has a large and increasing gap in income and wealth by race, ethnicity, and sex. However, little is known about the effects of tax policies across demographic characteristics. The tax code does not tax individuals differentially based on certain demographics. However, some researchers have noted how it could result in potential unintended disparate tax outcomes.

This report (1) examines approaches for analyzing the effect of tax policies, including some in the CARES Act and related legislation, on households by race, ethnicity, and sex, and (2) estimates how households use selected tax provisions by race, ethnicity, and sex. GAO interviewed 21 experts and reviewed literature on tax policy and demographics. GAO also used Census data to estimate households' use of tax provisions.

GAO is making one matter for congressional consideration to revise relevant laws to facilitate interagency data sharing. GAO also recommends that Treasury evaluate the feasibility of other options to produce secure, linked taxpayer and demographic data. Treasury stated it is focusing on imputation and has considered other options. Moving forward, evaluating other options would enhance Treasury's efforts to produce such data.

The MSBA aspires to bring together legal professionals from all different backgrounds. Your information will help us benchmark our progress toward building a diverse and inclusive Bar Association. Your data will remain confidential.

Final population estimates for counties and places are now available for July 1, 2022 and January 1, 2023. The estimates of county populations by age, sex, and race/ethnicity for July 1, 2021 and July 1, 2022 are also now available. Visit our estimates webpage for additional information and data files.

Increasing evidence demonstrates that patients treated by providers with demographic characteristics similar to their own are more satisfied, adhere better to treatment, and show better clinical outcomes. In addition, physicians who belong to groups underrepresented in medicine are more likely to care for underserved populations.

Despite these facts, striking demographic differences between physicians and the patient populations they serve are well documented. It is essential to understand the roles of applicant demographics and potentially related biases throughout the UME-GME transition, from application submission and review through interviewing and ranking. In response to this need, the NRMP has implemented collection and analysis of demographic data from applicants.

The aim of applicant demographic data collection and analysis is to advance understanding of and encourage discussion about relationships among the unique characteristics of applicants, the specialties they pursue, and their experience in the Match. The NRMP is making findings from this work available to the community in order to help inform efforts to increase the transparency and understanding of the matching process, improve diversity, equity, inclusion, and belonging (DEI-B) in the transition to residency, and address the implications of DEI-B issues and actions to resolve them for both the physician work force and the health of patient populations to be served. 006ab0faaa