As of 2025, the average age of senators in the 119th Congress was **. Of the total 100, ** members of the U.S. Senate were between the ages of ** and ** - more than any other age group. The minimum age requirement to be a member of the Senate is **, opposed to the House of Representatives which has a minimum age requirement of **. The average age of members of Congress from 2009 to 2023 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.

There are 100 Senators that serve in the United States Congress at any given time - two from each of the fifty states. As of the first day of the 118th Congress, there were three African American Senators, two Asian American Senators, and six Hispanic Senators.

Us Senators serving Macon-Bibb County.The two Senators that serve the State of Georgia are Johnny Isakson and David Perdue.The United States Senate is the upper chamber of the United States Congress, which along with the United States House of Representatives—the lower chamber—comprise the legislature of the United States.The composition and powers of the Senate are established by Article One of the United States Constitution. The Senate is composed of senators, each of whom represents a single state in its entirety, with each state being equally represented by two senators, regardless of its population, serving staggered terms of six years; with fifty states presently in the Union, there are 100 U.S. Senators. From 1789 until 1913, Senators were appointed by legislatures of the states they represented; following the ratification of the Seventeenth Amendment in 1913, they are now popularly elected. The Senate chamber is located in the north wing of the Capitol, in Washington, D.C.As the upper house, the Senate has several powers of advice and consent which are unique to it; these include the ratification of treaties and the confirmation of Cabinet secretaries, Supreme Court justices, federal judges, other federal executive officials, flag officers, regulatory officials, ambassadors, and other federal uniformed officers. In addition to these, in cases wherein no candidate receives a majority of electors for Vice President, the duty befalls upon the Senate to elect one of the top two recipients of electors for that office. It further has the responsibility of conducting trials of those impeached by the House. The Senate is widely considered both a more deliberative and more prestigious body than the House of Representatives due to its longer terms, smaller size, and statewide constituencies, which historically led to a more collegial and less partisan atmosphere.The presiding officer of the Senate is the Vice President of the United States, who is President of the Senate. In the Vice President's absence, the President Pro Tempore, who is customarily the senior member of the party holding a majority of seats, presides over the Senate. In the early 20th century, the practice of majority and minority parties electing their floor leaders began, although they are not constitutional officers.

US Census American Community Survey (ACS) 2017, 5-year estimates of the key demographic characteristics of State Senate Legislative Districts (Upper) geographic level in Orange County, California. The data contains 105 fields for the variable groups D01: Sex and age (universe: total population, table X1, 49 fields); D02: Median age by sex and race (universe: total population, table X1, 12 fields); D03: Race (universe: total population, table X2, 8 fields); D04: Race alone or in combination with one or more other races (universe: total population, table X2, 7 fields); D05: Hispanic or Latino and race (universe: total population, table X3, 21 fields), and; D06: Citizen voting age population (universe: citizen, 18 and over, table X5, 8 fields). The US Census geodemographic data are based on the 2017 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

The United States Senate is the upper chamber of the country's legislative body. It is made up of 100 Senators, two from each state. Senators serve six-year terms, but elections are staggered. In any given election year, one third of the Senate will be up for reelection. The 119th Congress was sworn-in in January 2025 with a Republican majority.

2023 Census Tigerline OH Senate boundaries joined with ACS 2023 5yr tables DP02 Selected Social Characteristics in the United States, DP03 Selected Economic Characteristics, DP04 Selected Housing Characteristics, DP05 ACS Demographic and Housing Estimates

Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates. The ACS 5-year period are period estimates that describe the average characteristics of the population and housing over the period of data collection (2018 through 2022). Data provides broad social, economics, housing, and demographics information by Maryland Senate Districts.

US Census American Community Survey (ACS) 2013, 5-year estimates of the key demographic characteristics of State Senate Legislative Districts (Upper) geographic level in Orange County, California. The data contains 105 fields for the variable groups D01: Sex and age (universe: total population, table X1, 49 fields); D02: Median age by sex and race (universe: total population, table X1, 12 fields); D03: Race (universe: total population, table X2, 8 fields); D04: Race alone or in combination with one or more other races (universe: total population, table X2, 7 fields); D05: Hispanic or Latino and race (universe: total population, table X3, 21 fields), and; D06: Citizen voting age population (universe: citizen, 18 and over, table X5, 8 fields). The US Census geodemographic data are based on the 2013 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show total population and change by Georgia Senate in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

# Area, Acres, 2017

SqMi

# Area, square miles, 2017

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

TotPop_e

# Total population, 2017

TotPop_m

# Total population, 2017 (MOE)

rPopDensity

Population density (people per square mile), 2017

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.

This dataset contains voter registration data in Iowa by month and state senate district starting with June 2021. It identifies the number of voters registered as Democrats, Republicans, other party or no party. The dataset also identifies the number of active and inactive voter registrations. Inactive voters are those to whom official mailings have been sent from the county auditor’s office, the notice was returned as undeliverable by the United States Postal Service and the voter has not responded to a follow up confirmation notice. [§48A.37]

US Senate Districts: The United States Senate is the upper chamber of the United States Congress which, along with the House of Representatives, the lower chamber, composes the legislature of the United States. The Senate is composed of senators who represent each of the several states, with each state being equally represented by two senators, regardless of their population, serving staggered terms of six years; with fifty states presently in the Union, there are 100 U.S. Senators. US Senate districts are maintained within the Administration Feature and is dissolved out weekly. Administration is a polygon feature consisting of the smallest statistical areas bounded by visible features such as roads, streams, railroad tracks, and mountain ridges, as well as by nonvisible boundaries such as jurisdictional limits, school district, public safety boundaries, voting precincts, and census blocks. This methodology allows for single stream editing to move coincidental boundaries across many aggregate datasets simultaneously. Administration is maintained though an ArcGIS topology class in conjunction with County Parcels and Zoning. The topology prevents self-intersection and gaps, while ensuring complete coverage amongst the participating features.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2014-2018). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

s

Significance flag for change: 1 = statistically significant with a 90% Confidence Interval, 0 = not statistically significant, blank = cannot be computed

Suffixes:

_e18

Estimate from 2014-18 ACS

_m18

Margin of Error from 2014-18 ACS

_00_v18

Decennial 2000 in 2018 geography boundary

_00_18

Change, 2000-18

_e10_v18

Estimate from 2006-10 ACS in 2018 geography boundary

_m10_v18

Margin of Error from 2006-10 ACS in 2018 geography boundary

_e10_18

Change, 2010-18

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.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

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.

State Legislative Districts boundary data with 2020 Census demographics for state house (lower chamber) districts, state senate (upper chamber) districts, and the 118th (2023-2024) Congressional Districts. The data are available nationwide or for a single state for use with GIS mapping software, databases, and web applications.

This data collection, focusing on Senate elections, combines data from a three-part series (1988, 1990, 1992) of Senate studies. Over the course of these three elections voters in each of the 50 states were interviewed, and data were gathered on citizen evaluations of all senators at three stages of their six-year election cycles. Both survey data and contextual data for all 50 states are included. The survey data facilitate the comparison of House of Representatives and Senate races through the use of questions that generally parallel those questions used in election studies since 1978 concerning respondents' interaction with and evaluation of candidates for the House of Representatives. However, because of redistricting in the early 1990s, the congressional districts for the 1992 respondents could not be pre-identified. The survey instrument was, therefore, redesigned to some degree, cutting some of the House-related content for the 1992 survey. The 50-state survey design also allows for the comparison of respondents' perceptions and evaluation of senators who were up for re-election with those in the second or fourth years of their terms. Topics covered include respondent's recall and like/dislike of House and Senate candidates, issues discussed in the campaigns, contact with House and Senate candidates/incumbents, respondent's opinion of the proper roles for senators and representatives, a limited set of issue questions, liberal/conservative self-placement, party identification, media exposure, and demographic information. Contextual data presented include election returns for the Senate primary and general elections, voting indices for the years 1983-1992, information about the Senate campaign such as election outcome predictions, campaign pollster used, and spending patterns, and demographic, geographic, and economic data for the state. Also included are derived measures that reorganize the House of Representatives and Senate variables by the party and incumbency/challenger status of the candidate and, for Senate variables only, by proximity to next election. Additionally, a number of analytic variables intended to make analyses more convenient (e.g., Senate class number and whether the respondent voted for the incumbent) are presented.

The United States House of Representatives has 435 members. The number of seats allocated to each state is determined by a state's population. The 119th Congress was sworn-in in January 2025, with the Republicans holding a majority with 220 seats. In this year, the Republican Party was in control of the Senate, House of Representatives, and the Presidency.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from 2010 U.S. Census to show population change by state Senate district for the state of Georgia.Attributes: DISTRICT = GA Senate District POPULATION = District Population (2010 Census) Population_2010 = Population, 2010 Population_2000 = Population, 2000 Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of ARC district profile- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010 Pop_ages_20_34_2010 = Population ages 20-34, 2010 Pop_ages_35_44_2010 = Population ages 35-44, 2010 Pop_ages_45_64_2010 = Population ages 45-64, 2010 Pop_ages_65_over_2010 = Population ages 65 and over, 2010 Pct_Pop_under_age_19_2010 = % Population under age 19, 2010 Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010 Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010 Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010 Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010 Pop_under_age_19_2000 = Population under age 19, 2000 Pop_ages_20_34_2000 = Population ages 20-34, 2000 Pop_ages_35_44_2000 = Population ages 35-44, 2000 Pop_ages_45_64_2000 = Population ages 45-64, 2000 Pop_ages_65_over_2000 = Population ages 65 and over, 2000 Pct_Pop_under_age_19_2000 = % Population under age 19, 2000 Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000 Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000 Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000 Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000 Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010) Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010) Chg_pop_ages_20_34 = Change in population ages 20-34 (2000-2010) Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010) Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010) Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010) Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010) Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010) Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010) Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)Non_Hisp_White_2010 = Non-Hispanic White, 2010 Non_Hisp_Black_2010 = Non-Hispanic Black, 2010 Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010 Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010 Hisp_All_races_2010 = Hispanic, All races, 2010 Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010 Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010 Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010 Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010 Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010 Non_Hisp_White_2000 = Non-Hispanic White, 2000 Non_Hisp_Black_2000 = Non-Hispanic Black, 2000 Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000 Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000 Hisp_All_races_2000 = Hispanic, All races, 2000 Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000 Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000 Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000 Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000 Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000 Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010) Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010) Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010) Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010) Chg_Hisp_Population = Change in Hispanic Population (2000-2010) Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010) Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010) Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010) Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010) Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)