Percent distribution of VetPop2020 estimates and projections by branch of service for fiscal years 2000 through 2023. “All Others” includes U.S. Coast Guard, U.S. Public Health Service, National Oceanic and Atmospheric Administration, and Reserves

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of African Americans' Lives Today, a survey from National Public Radio, the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include: Satisfaction with life and environment Life improvements Satisfaction with living area Living area improvements Most important local issue Other black people in area Amount of black friends Economic class Rating various public institutions Rating quality of various resources Amount of discrimination Reason for discrimination Personal financial situation Economic class growing up Achieving American dream Better off than parents Importance of religion Making decisions about children Child schooling Rating child's school Black children in school Desired level of child's education Seeking long-term relationship Desire to marry Satisfaction with dating opportunities Race of romantic dates Looking for work Career success Unemployment concerns Health insurance and healthcare Access to care Medical expenses Quality of doctors Health and wellness Social and family life The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092356]. Frequencies and summary statistics for the 204 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

VA All Employee Survey (AES) 2018 deidentified individual-level public release data file.The All VA Survey was launched in 1997, rebranded as the All Employee Survey (AES) in 2001, and VA has administered the AES every year since 2006.The AES 2018 consists of the following:Deidentified Individual-level Public Release AES Data File - In 2018, VA merged the AES and the Federal Employee Viewpoint Survey (FEVS), which is a government-wide employee-perception survey conducted by the Office of Personnel Management (OPM). The merge means the included FEVS items are offered to all employees and benefit from the AES's high response rate, and we can quickly share results down to the small-team level where they're most actionable. These files have deidentified individual responses for all FEVS items.AES-FEVS Percents Public Data Report - These files have FEVS items reported as percents (as required by Federal statute).

US Census American Community Survey (ACS) 2021, 5-year estimates of the key social characteristics of State Senate Legislative Districts (Upper) geographic level in Orange County, California. The data contains 500 fields for the variable groups S01: Households by type (universe: total households, table X11, 17 fields); S02: Relationship (universe: population in households, table X9, 19 fields); S03: Marital status (universe: population 15 years and over, table X12, 13 fields); S04: Fertility (universe: women 15-50 years who had birth in the past 12 months, table X13, 11 fields); S05: Grandparents (universe: grandparents living or responsible for own grandchildren under 18 years, table X10, 18 fields); S06: School enrollment (universe: population 3 years old and over enrolled in school, table X14, 17 fields); S07: Educational attainment (universe: population 25 years and over, table X15, 25 fields); S08: Veteran status (universe: civilian population 18 years and over, table X21, 2 fields); S09: Disability status and type by sex and age (universe: total civilian non-institutionalized population, table X18, 77 fields); S10: Disability status by age and health insurance coverage (universe: civilian non-institutionalized population, table X18, 16 fields); S11: Residence 1 year ago (universe: population 1 year and over, table X7, 6 fields); S12: Place of birth (universe: total population, table X5, 27 fields); S13: Citizenship status by nativity in the US (universe: total population, table X5, 6 fields); S14: Year of entry (universe: population born outside the US, table X5, 21 fields); S15: World region of birth of foreign born population (universe: foreign born population, excluding population born at sea, table X5, 25 fields); S16: Language spoken in households (universe: total households, table X16, 6 fields); S17: Language spoken at home (universe: population 5 years and over, table X16, 67 fields); S18: Ancestry (universe: total population reporting ancestry, table X4, 114 fields), and; S19: Computers and internet use (universe: total population in households and total households, table X28, 13 fields). The US Census geodemographic data are based on the 2021 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).

According to 36CFR79, collections recovered with federal funds must be made accessible to the public for research and educational purposes. However, this goal is deceptively difficult to achieve. Collections can be made available to professionals and archaeology students easily enough, but is there a way that we can involve the public in the process? The Veterans Curation Program (VCP), funded by the United States Army Corps of Engineers (USACE), St. Louis District, has become well known for doing just that; employing recently separated veterans as laboratory technicians to rehabilitate USACE owned or administered collections. USACE and VCP contractors have worked to close the gap between archaeologists and non-archaeologists by developing various reference guides, training exercises, and teaching collections. In this paper, we will highlight a few examples of the aforementioned training aids and examine how they have enabled the VCP’s veteran technicians to process archaeological and archival collections with accuracy and understanding.

According to a 2024 survey, roughly 41 percent of respondents stated they were extremely proud to be an American. American patriotism 41 percent of the American population seems to be very to extremely proud to be American, and they aren't afraid to show it off: Around 64 percent of the population owns an American flag and around 51 percent own apparel branding patriotic imagery or symbols. Interestingly, patriotism seems to span the generations as well, with Millennials being only slightly less patriotic than the Gen X'ers or even the Baby Boomers. Ingrained patriotism is also one of the reasons why so many American men have chosen to fight in wars throughout history, and around 45 percent of adults over the age of 75 are veterans. The number of veteran men under age 55 is noticeably lower, by the way, even though patriotism is alive and well and the U.S. is still sending soldiers to war zones. While Americans are overwhelmingly proud to be American, it is also worthwhile to see how the public opinion of the United States varies across different regions and countries of the world: While the United States enjoys a fairly favorable standing in Africa, for example, less than a third of the Middle Eastern population views the United States favorably, most likely due to its controversial military involvement in the region.

The Board of Veterans' Appeals (also known as 'BVA' or 'the Board') is a part of the VA, located in Washington, D.C. Members of the Board review benefit claims determinations made by local VA offices and issue decision on appeals. These Law Judges, attorneys experienced in veterans law and in reviewing benefit claims, are the only ones who can issue Board decisions. Staff attorneys, also trained in veterans law, review the facts of each appeal and assist the Board members. {38 U.S.C. 7103, 7104} BVA decisions are discoverabled via this search engine tool.

About this dataset

Context

The dataset tabulates the Veteran town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Veteran town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Veteran town was 3,255, a 1.30% decrease year-by-year from 2021. Previously, in 2021, Veteran town population was 3,298, a decline of 1.29% compared to a population of 3,341 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Veteran town decreased by 21. In this period, the peak population was 3,352 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Veteran town is shown in this column.
• Year on Year Change: This column displays the change in Veteran town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Veteran town Population by Year. You can refer the same here

This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

US Census American Community Survey (ACS) 2018, 5-year estimates of the key social characteristics of State Senate Legislative Districts (Upper) geographic level in Orange County, California. The data contains 500 fields for the variable groups S01: Households by type (universe: total households, table X11, 17 fields); S02: Relationship (universe: population in households, table X9, 19 fields); S03: Marital status (universe: population 15 years and over, table X12, 13 fields); S04: Fertility (universe: women 15-50 years who had birth in the past 12 months, table X13, 11 fields); S05: Grandparents (universe: grandparents living or responsible for own grandchildren under 18 years, table X10, 18 fields); S06: School enrollment (universe: population 3 years old and over enrolled in school, table X14, 17 fields); S07: Educational attainment (universe: population 25 years and over, table X15, 25 fields); S08: Veteran status (universe: civilian population 18 years and over, table X21, 2 fields); S09: Disability status and type by sex and age (universe: total civilian non-institutionalized population, table X18, 77 fields); S10: Disability status by age and health insurance coverage (universe: civilian non-institutionalized population, table X18, 16 fields); S11: Residence 1 year ago (universe: population 1 year and over, table X7, 6 fields); S12: Place of birth (universe: total population, table X5, 27 fields); S13: Citizenship status by nativity in the US (universe: total population, table X5, 6 fields); S14: Year of entry (universe: population born outside the US, table X5, 21 fields); S15: World region of birth of foreign born population (universe: foreign born population, excluding population born at sea, table X5, 25 fields); S16: Language spoken in households (universe: total households, table X16, 6 fields); S17: Language spoken at home (universe: population 5 years and over, table X16, 67 fields); S18: Ancestry (universe: total population reporting ancestry, table X4, 114 fields), and; S19: Computers and internet use (universe: total population in households and total households, table X28, 13 fields). The US Census geodemographic data are based on the 2018 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 EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Since 1996, the Center for Military History and Social Sciences of the Bundeswehr (ZMSBw) has conducted a representative survey of the German population on defense and security policy issues on behalf of the Federal Ministry of Defense. In 2011, this study was continued. For this purpose, N = 1450 persons were interviewed on various issues from November 3, 2011 until November 17, 2011. The present survey focused in particular on opinions on security policy, attitudes towards the Federal Armed Forces, and Foreign deployments of the Federal Armed Forces.
1. Security policy opinion, attitudes towards the Federal Armed Forces: institutional trust (public schools, German Bundestag, statutory pension insurance, political parties, Federal Employment Agency, trade unions, Federal Constitutional Court, statutory health insurance, Federal Armed Forces, police, Protestant Church, Catholic Church, Federal Criminal Police Office, Federal Intelligence Service, Federal Government); personal sense of security; feeling of being threatened by: Reduction of social benefits, loss of job or not being able to find a job, terrorist attacks in Germany, nuclear, chemical or biological weapons in the hands of terrorists, military attack on Germany, worldwide climate change due to global warming, criminality in the personal environment, increasing national debt of other European states, failure of the Euro; Preferences with regard to Germany´s security and defence policy orientation (Germany should pursue an active policy and help to overcome problems in the world, should rather concentrate on overcoming its own problems, in security and defence policy Germany should primarily act with its allies, should be as independent as possible in security and defence policy and be able to act alone, Germany should also use military means to solve international crises and conflicts, should primarily use diplomatic means to solve international conflicts, should primarily use its economic power to solve international crises); preferences with regard to the tasks of the Federal Armed Forces abroad (e.g. stabilising the security situation in a crisis region in Africa, participation in the fight against international terrorism, etc.) and in Germany (e.g. disaster relief, rescue of missing persons, defence in the event of a military attack on Germany, etc.); positive or negative attitude towards the Federal Armed Forces; affective attitude towards the Federal Armed Forces (of course, that Germany has its own armed forces, Federal Armed Forces is a normal part of society, foreign body in German society, feeling of gratitude for the Federal Armed Forces, pride in the Federal Armed Forces, feeling of aversion, Federal Armed Forces has proven useful in its missions at home and abroad); knowledge of the Federal Armed Forces slogan ´Wir.Dienen.Deutschland.

1. Foreign deployments of the Federal Armed Forces: knowledge of various foreign missions of the Federal Armed Forces (International Security Assistance Force in Afghanistan (ISAF), Peacekeeping Force in Kosovo (KFOR), Peacekeeping Force in Bosnia and Herzegovina (EUFOR), ATALANTA mission off the coast of Somalia, United Nations Interim Force in Lebanon (UNIFIL) and agreement to Federal Armed Forces participation in the respective foreign missions; impact of the Federal Armed Forces´s ISAF mission in Afghanistan on various areas (security situation in the Federal Armed Forces-controlled region in northern Afghanistan, living conditions of the people in the controlled region, Afghanistan´s development opportunities, the fight against international terrorism, stability of the region as a whole, Germany´s standing in the Islamic world, security situation in Germany, standing of the Federal Armed Forces in the Federal Republic of Germany); evaluation of the success of the ISAF mission of the Federal Armed Forces in Afghanistan; immediate withdrawal of the Federal Armed Forces from Afghanistan; associations with the term ´veteran of the Federal Armed Forces´ (open); opinion on the appreciation of veterans (public recognition e.g. through a veterans´ day, benefits from private companies or service providers, additional benefits from the state such as veterans´ pensions); media use: frequency of use of various media in everyday life (tabloids, regional daily newspapers, national newspapers and business papers, news magazines, weekly newspapers, private television, public television, news channels, radio stations, Internet: Forums, blogs, online editions of newspapers, magazines or television stations, social networks, photo or video portals, as well as personal conversations with friends, acquaintances, colleagues or relatives).

Demography: sex; age; marital status; education; net household income, party identification.

Additionally coded: respondent ID; interview date; weight.

Implementation of Public Law 112-154 Author: Simpson, J.

Servicemembers' Entitlement to Rehabilitation and Vocational Benefits under Public Law 110-181

This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The mission of the non-partisan Paul Simon Public Policy Institute polling is to provide citizens, policy-makers, and academic researchers with objective information about trends and issues facing society. The 2016 Simon Poll interviewed 1000 registered voters across Illinois. For the entire sample, the statistical margin for error of plus or minus 3.1 percentage points at the 95 percent confidence level. Areas covered by the poll are: general outlook, approval of elected officials, preference for candidates in presidential and U.S. senate primaries, Illinois budget impasse impacts, favorability toward budget cuts, favorability toward new sources of state revenues, legislative redistricting, campaign finance reform, opinions on gay marriage, opinions on abortion, opinions on medical and recreational marijuana, opinions on veterans' courts, and views on mental/physical health problems. Demographic information is also included, covering age, race, gender, income, political party affiliation, political ideology, employment, household income, and religious activities. Respondents’ ZIP codes are included.

About this dataset

Context

The dataset tabulates the Chesapeake city population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Chesapeake city across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Chesapeake city was 252,488, a 0.30% increase year-by-year from 2021. Previously, in 2021, Chesapeake city population was 251,739, an increase of 0.78% compared to a population of 249,803 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Chesapeake city increased by 52,171. In this period, the peak population was 252,488 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Chesapeake city is shown in this column.
• Year on Year Change: This column displays the change in Chesapeake city population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Chesapeake city Population by Year. You can refer the same here

This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

About this dataset

Context

The dataset tabulates the Grottoes population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Grottoes across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Grottoes was 2,953, a 0.99% increase year-by-year from 2021. Previously, in 2021, Grottoes population was 2,924, an increase of 0.90% compared to a population of 2,898 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Grottoes increased by 785. In this period, the peak population was 2,953 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Grottoes is shown in this column.
• Year on Year Change: This column displays the change in Grottoes population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Grottoes Population by Year. You can refer the same here