There are *** members of the House of Representatives in any congressional sitting. In the ***** Congress which began in January 2023, there were ** Black members, ** Asian American members, ** Hispanic members.

The most recent polling data from February 2025 puts the approval rating of the United States Congress at 29 percent, reflecting a significant increase from January. The approval rating remained low throughout the 118th Congress cycle, which began in January 2025. Congressional approval Congressional approval, particularly over the past few years, has not been high. Americans tend to see Congress as a group of ineffectual politicians who are out of touch with their constituents. The 118th Congress began in 2023 with a rocky start. The Democratic Party maintains control of the Senate, but Republicans took back control of the House of Representatives after the 2022 midterm elections. The House caught media attention from its first days with a contentious fight for the position of Speaker of the House. Representative Kevin McCarthy was eventually sworn in as Speaker after a historic fifteen rounds of voting. Despite the current Congress having a historic share of women and being the most diverse Congress in American history, very little has been done to improve the opinion of Americans regarding its central lawmaking body. Ye of little faith However, Americans tend not to have much confidence in many of the institutions in the United States. Additionally, public confidence in the ability of the Republican and Democratic parties to work together has decreased drastically between 2008 and 2022, with nearly 60 percent of Americans having no confidence the parties can govern in a bipartisan way.

This dataset was collected as an attempt to study trends of latino representation in the U.S. Senate by including participants from a renown fellowship and internship program hosted by the Congressional Hispanic Caucus Institute (CHCI). More specifically, the data was created by collecting the statistic results from "DIVERSITY AMONG U.S. SENATE DEMOCRATIC STAFF" survey series 2017-2020. Followed by creating a binary variable if a CHCI participant was placed in the recorded offices or committees. Not all CHCI participants are accounted for in this dataset due to no diversity data avaliable for the U.S. House of Representatives. CHCI Intern Participants from Summer-Fall 2020 are not included due to placement information unavailable. Term codes are used for internship programs due to the programs veing organized by Fall(F) Spring (SP) and Summer (S). Percent_White is calculated as X =1 - Percent_Non-White. Any mistakes are my own, CHCI had no formal involvement in the data collection process.

This data set matches district demographic information to a member of Congress's legislative actions from 1972 through 2013. The unit of analysis is individual members of Congress. For each member of Congress there is data on: personal characteristics for age, gender, race, ideology, etc. district information for income, education, employment, etc. legislative information for number of bills introduced, number enacted into law, etc. committee information

About this dataset

Context

The dataset tabulates the population of Congress by race. It includes the population of Congress across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Congress across relevant racial categories.

Key observations

The percent distribution of Congress population by race (across all racial categories recognized by the U.S. Census Bureau): 96.51% are white and 3.49% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Congress
• Population: The population of the racial category (excluding ethnicity) in the Congress is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Congress total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Congress Population by Race & Ethnicity. You can refer the same here

Although gender and racial diversity in Congress has steadily grown since 1948, the percent of members of Congress from the working-class has remained stagnant at 2% (Carnes 2015). What are the consequences of the continued underrepresentation of the working-class? While prior work has examined the impact of gender or racial based descriptive representation on political evaluations and political behavior our understanding of current trends in congressional diversity is limited due to inadequate attention to class. This project examines whether the lack of working-class representation functions similarly to a lack of gender representation in Congress, whereby we manipulate the percent of members of Congress who have been employed in working-class positions or the percentage of women in Congress. The results show whether class diversity in Congress impact political efficacy, trust, and perceptions of Congress similarly to the effects of gender diversity.

This dataset tracks annual diversity score from 1991 to 2023 for Congress Community Middle School vs. Florida and Palm Beach School District

The U.S. Congress has become increasingly diverse over the years, though remains predominantly Protestant and Catholic. In 2023, **** percent of Congress identified as Protestant, and *** percent of Congress identified as Muslim.

U.S. 115th Congressional Districts represents the political boundaries for the U.S. 115th Congress which began on January 3, 2017. The official membership is current as of October 1, 2018.This layer is based on source from the US Census 500k data and now includes the new, redistricted boundaries for Pennsylvania ordered by the Pennsylvania Supreme Court.Also included is a selection of Esri's 2018 Demographic data including income, education, race and diversity, psychographics, and more. Examples of maps that can be made from this data can be found in this ArcGIS Online group. More information about Esri's demographics can be found on our U.S. data overview. Esri offers a second version of this data that includes all of the outlaying USA territories here. The layer without demographics can be found here.

On January 21, 2011, FHFA established its Office of Minority and Women Inclusion (OMWI) consistent with Section 342 of the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 (Dodd-Frank Act). OMWI is responsible for leading the Agency’s efforts to advance diversity, equity, and inclusion (DEI).

FHFA's OMWI Annual Report to Congress describes how the Agency increases diversity and ensures inclusion throughout the FHFA workforce and in our business activities, including procurement by continuing existing programs that have been effective, as well as developing and implementing new strategies and initiatives to support a diverse workforce and maintain an inclusive organizational culture. The Report also summarizes FHFA's oversight of the diversity and inclusion activities of its regulated entities – this includes Fannie Mae, Freddie Mac, the 11 Federal Home Loan Banks, and the Office of Finance, as required under the Housing and Economic Recovery Act of 2008.

This dataset tracks annual diversity score from 1991 to 2023 for Congress Elementary School vs. Wisconsin and Milwaukee School District

About this dataset

Context

The dataset tabulates the Congress population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Congress. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 56 (65.12% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Congress population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Congress is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Congress is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Congress Population by Age. You can refer the same here

While the average age of members of Congress in the United States has gradually risen in recent years, this number decreased slightly with the beginning of the 119th Congress in 2025. This Congress first convened on January 3rd, 2025, and will end on January 3, 2027. In this Congress, the average age in the House of Representatives was ** years, and the average age in the Senate was ** years.

This dataverse contains the data and supporting documents for the CCES 2014 University of Iowa project. This project was supporting by the National Science Foundation, Grant Number SES-1430505

Includes brief description/table of contents, dataset in .txt format, variable codebook, and Stata do file.

This dataset tracks annual diversity score from 2005 to 2023 for Congress Elementary School vs. Michigan and Grand Rapids School District

About this dataset

Context

The dataset tabulates the data for the Congress, OH population pyramid, which represents the Congress population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Congress, OH, is 8.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Congress, OH, is 39.7.
• Total dependency ratio for Congress, OH is 48.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Congress, OH is 2.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Congress population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Congress for the selected age group is shown in the following column.
• Population (Female): The female population in the Congress for the selected age group is shown in the following column.
• Total Population: The total population of the Congress for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Congress Population by Age. You can refer the same here

The 118th Congress of the United States began in January 2025. In that year, there were *** female members in the House of Representatives, and *** male representatives. A breakdown of women in the House by party can be found here.

The 119th Congress began in January 2025. In this Congress, there were 26 women serving as Senators, and 74 men. The number of women has increased since the 1975 when there were no women in the Senate. The first female Senator was Rebecca Felton of Georgia who was sworn in 1922. A breakdown of women Senators by party can be found here.

About this dataset

Context

The dataset tabulates the Congress 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 Congress. The dataset can be utilized to understand the population distribution of Congress by age. For example, using this dataset, we can identify the largest age group in Congress.

Key observations

The largest age group in Congress, OH was for the group of age 45 to 49 years years with a population of 20 (18.87%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Congress, OH was the 20 to 24 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Congress is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Congress total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Congress Population by Age. You can refer the same here