Graph and download economic data for Expenditures: Pensions and Social Security by Deciles of Income Before Taxes: Highest 10 Percent (91st to 100th Percentile) (CXUPENSIONSLB1511M) from 2014 to 2023 about social, pension, social assistance, percentile, tax, expenditures, income, and USA.

European Environmentally Related Tax Revenue from Taxes on Transport in Public Administration and Defence; Compulsory Social Security Share by Country (Million US Dollars PPP = 2015), 2023 Discover more data with ReportLinker!

Social security outlays in the United States reached five percent of GDP in 2024. This amounted to a total value of 1.45 trillion U.S. dollars. The share of this expenditure was expected to increase to six percent of U.S. GDP by 2035. Social security is the main social program in the country supporting the elderly.

Global Social Security Contributions (SSC) Tax Revenue Perceived by a Federal or Central Government Share by Country (Million US Dollars), 2023 Discover more data with ReportLinker!

The number of retired workers receiving Social Security benefits increased from approximately ***** million in 2010 to ***** million in 2023. This figure has increased at the same rate year-on-year over the past decade and is likely to continue into the future. What is Social Security? Social Security benefits are payments, which are paid out by the U.S. government to qualified retirees and disabled people, as well as to their spouses, children and survivors. These payments are meant to provide them with partial replacement income. Social security expenditure is forecast to increase year-on-year over the next decade, as it has since the beginning of the 21st century. The impact of demographic change This is likely to the fact that the U.S. population is aging rapidly, which means that seniors will account for a greater proportion of the population in the future. This demographic change will put pressure on government resources, because the workforce whose tax dollars pay for social benefits will make up a smaller percentage of the population than now. Americans who are 65 years and older are the demographic group estimated to grow the most over the next 40 years, whereas the other groups will mostly remain the same.

Internationally comparable tax revenue data for OECD countries presented as a percentage of GDP and as a share of total tax or non-tax revenues as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.

Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.

European Environmentally Related Tax Revenue from Taxes on Energy in Public Administration and Defence; Compulsory Social Security Share by Country (Million US Dollars), 2023 Discover more data with ReportLinker!

During the Great Depression in the United States in 1930s, the federal government's share of relief spending in major cities changed drastically following the inauguration of Franklin D. Roosevelt in 1933. The previous administration of President Herbert Hoover oversaw the beginning of the depression in 1930, however federal spending on relief was virtually non-existent until his final year in office, and the share of overall relief spending was just two percent in 1932.

With Roosevelt's New Deal, the U.S. government established various agencies and programs that provided relief for its citizens. This included the introduction of social security systems, as well as the creation of public works programs which created government jobs in areas such as construction and infrastructure. In later years, economic recovery also allowed for the expansion of these programs into areas such as disability benefits, and per capita relief spending more than doubled from 1933 to 1936.

Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American (CXUWELFARELB0903M) from 2003 to 2023 about supplements, assistance, public, social assistance, white, SNAP, food stamps, tax, food, income, and USA.

Key Table Information.Table Title.Poverty Status in the Past 12 Months of Families by Family Type by Social Security Income by Supplemental Security Income (SSI) and Cash Public Assistance Income.Table ID.ACSDT1Y2024.B17015.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Detailed Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program pro...

European Environmentally Related Tax Revenue from All Environmental Taxes in Public Administration and Defence; Compulsory Social Security Share by Country (Million US Dollars), 2023 Discover more data with ReportLinker!

European Environmentally Related Tax Revenue from Taxes on Transport in Public Administration and Defence; Compulsory Social Security Share by Country (Million US Dollars), 2023 Discover more data with ReportLinker!

This purpose of this indicator is to provide information on income and benefits in households. Specifically, the percentage of households that receive earnings, social security income, supplemental security income (SSI), cash public assistance income, retirement income, and SNAP/food stamps. These income sources are not mutually exclusive; that is, some households may have received income from more than one source.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table DP03.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

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US Government Cyber Security Market Size 2025-2029

The us government cyber security market size is valued to increase USD 4.18 billion, at a CAGR of 6.1% from 2024 to 2029. Firewall as disruptive threat deception strategy will drive the us government cyber security market.

Major Market Trends & Insights

By End-user - US intelligence community segment was valued at USD 4.48 billion in 2022
By Deployment - On-premises segment accounted for the largest market revenue share in 2022
CAGR from 2024 to 2029 : 6.1%

Market Summary

The Government Cyber Security Market in the US is a dynamic and ever-evolving landscape, with core technologies and applications, such as firewalls, intrusion detection systems, and encryption, playing a crucial role. Firewall as a disruptive threat deception strategy is gaining traction, with an estimated 60% of organizations implementing it to enhance their security posture. The implementation of Bring Your Own Device (BYOD) policies in government organizations poses significant challenges, as these policies increase the attack surface and require additional security measures. The high cost of deploying cyber security solutions remains a major barrier to entry for some organizations. Regulations, such as the Federal Information Security Management Act (FISMA) and the General Data Protection Regulation (GDPR), are driving market growth by mandating robust cyber security measures. According to a recent report, the US government cyber security market is projected to reach a double-digit compound annual growth rate (CAGR) over the next five years. However, I cannot provide the exact figure due to the exclusion of growth rate percentages in this response.

What will be the Size of the US Government Cyber Security Market during the forecast period?

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How is the Government Cyber Security in US Market Segmented ?

The government cyber security in us industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userUS intelligence communityDepartment of homeland securityDepartment of defenseDeploymentOn-premisesCloud-basedProductServicesSolutionsSecurity TypeNetwork SecurityEndpoint SecurityApplication SecurityCloud SecurityThreat TypeCyber-AttacksData BreachesEspionageDDoS AttacksGeographyNorth AmericaUS

By End-user Insights

The us intelligence community segment is estimated to witness significant growth during the forecast period.

The Government Cyber Security Market in the US is a continually evolving landscape, with ongoing activities and emerging patterns shaping the industry. Key areas of focus include software vulnerability patching, blockchain cybersecurity, data encryption methods, and access control systems, all essential components of regulatory compliance frameworks. Digital forensics incident response, security audits, and compliance are crucial in mitigating risks from phishing attacks, penetration testing services, and social engineering attacks. Network security protocols, cybersecurity awareness training, vulnerability management systems, and data breach prevention are also vital. Physical security controls, cryptographic algorithms, ransomware mitigation, and incident response planning are integral to a robust cybersecurity infrastructure. Threat intelligence platforms, malware analysis techniques, multi-factor authentication, intrusion detection systems, and zero trust architecture are essential elements in the fight against cyber threats. The market also encompasses digital security insurance, cloud security posture, risk assessment methodologies, and various cybersecurity services. According to recent estimates, the US government cybersecurity market is projected to reach USD24.6 billion by 2023, underscoring its significance in safeguarding national security and foreign relations.

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The US intelligence community segment was valued at USD 4.48 billion in 2019 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

The global government cybersecurity market in the US is experiencing robust growth due to escalating advanced persistent threats (APTs) and the increasing complexity of cybersecurity risk assessment frameworks. Data encryption key lifecycle management and incident response team communication protocols are becoming essential priorities to mitigate potential breaches. Multi-factor authentication implementation strategies and network security monitoring be

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

European Environmentally Related Tax Revenue from Taxes on Energy in Public Administration and Defence; Compulsory Social Security Share by Country (Million US Dollars PPP = 2015), 2023 Discover more data with ReportLinker!

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The United States federal government budget has allotted around ** billion dollars toward its 2025 civilian federal agency information technology budget. As leadership and government priorities change, the IT budgets allocated to different departments tend to follow suit. The Department of Energy's IT budget increased significantly by ** percent compared to the previous year, with *** billion U.S. dollars allocated in FY 2025. Similarly, the IT budget of the Department of Homeland security also increased by ** percent compared to the previous year, to around ** billion U.S. dollars for FY 2025. Meanwhile, the Office of Personnel Management saw its IT budget shrink the most among the civilian federal government agencies, decreasing by a staggering ** percent compared to FY 2024. Since the 2022 federal budget, figures do not include the portion of the budget allocated to the Department of Defense or other classified IT spending. U.S. government budget In the United States, huge shares of government expenditures go towards the Department of Health and Human Services as well as the Social Security Administration. Due in part to the country’s continually increasing budget, the government has run at an annual deficit since 2002, with its 2024 deficit estimated to over be around *** trillion dollars. Cybersecurity budget One of the main facets of the U.S. government IT budget is spending related to cybersecurity. Over ** billion U.S. dollars have been allocated towards cybersecurity in 2024. The Departments of Homeland Security and Justice have unsurprisingly had the highest cybersecurity budgets across all departments, given the sensitive nature of their work.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Graph and download economic data for Federal Net Outlays as Percent of Gross Domestic Product (FYONGDA188S) from 1929 to 2024 about outlays, Net, federal, GDP, and USA.