Point geometry with attributes displaying government agencies in East Baton Rouge Parish, Louisiana.

The Texas Department of Information Resources (DIR) has established a digital transformation guide to assist agencies with modernizing agency operations and services with respect to electronic data and converting agency information into electronic data. The purpose of the guide is to help Texas government take the next steps to advance digital transformation and improve the customer experience, no matter where the organization is on its digital journey.

This guide brings together online resources that contain U.S. government documents. Some are freely available to anyone with Internet access. Others include subscription databases accessible with a DHS device.

State comparisons data for intergovernmental revenue, taxes, employment and payroll, voters and elections, state and federal government data etc. Data include a national ranking.

Graph and download economic data for Federal Government: Current Expenditures (NA000283Q) from Q1 1947 to Q1 2025 about expenditures, federal, government, GDP, and USA.

description: A list of individual public APIs maintained by the US government.; abstract: A list of individual public APIs maintained by the US government.

Metadata for documents submitted to the Department of Records and Information services which are required by legislation.

Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Government current expenditures: Federal: General public service: Interest payments (G160441A027NBEA) from 1959 to 2023 about public, payments, expenditures, federal, government, services, interest, GDP, and USA.

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of the Change in Excess of Liabilities. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of federal funds and trust funds that are invested in Government Account Series (GAS) securities. Federal funds include general funds, special funds, and revolving funds (public enterprise revolving funds, intragovernmental revolving funds, and credit financing accounts). A trust fund is a type of account, designated by law, for receipts or offsetting receipts dedicated to specific purposes and the expenditure of these receipts. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This dataset has been developed by the Australian Government as an authoritative source of indigenous location names across Australia. It is sponsored by the Spatial Policy Branch within the Department of Communications and managed solely by the Department of Human Services.

The dataset is designed to support the accurate positioning, consistent reporting, and effective delivery of Australian Government programs and services to indigenous locations.

The dataset contains Preferred and Alternate names for indigenous locations where Australian Government programs and services have been, are being, or may be provided. The Preferred name will always default to a State or Territory jurisdiction's gazetted name so the term 'preferred' does not infer that this is the locally known name for the location. Similarly, locational details are aligned, where possible, with those published in State and Territory registers.

This dataset is NOT a complete listing of all locations at which indigenous people reside. Town and city names are not included in the dataset. The dataset contains names that represent indigenous communities, outstations, defined indigenous areas within a town or city or locations where services have been provided.

We have used Analytic Hierarchy Process (AHP) to derive the priorities of all the factors in the evaluation framework for open government data (OGD) portals. The results of AHP process were shown in the uploaded pdf file. We have collected 2635 open government datasets of 15 different subject categories (local statistics, health, education, cultural activity, transportation, map, public safety, policies and legislation, weather, environment quality, registration, credit records, international trade, budget and spend, and government bid) from 9 OGD portals in China (Beijing, Zhejiang, Shanghai, Guangdong, Guizhou, Sichuan, XInjiang, Hong Kong and Taiwan). These datasets were used for the evaluation of these portals in our study. The records of the quality and open access of these datasets could be found in the uploaded Excel file.

United States Federal Government Financing: Borrowing from the Public data was reported at 2.000 USD bn in Mar 2025. This records a decrease from the previous number of 2.586 USD bn for Feb 2025. United States Federal Government Financing: Borrowing from the Public data is updated monthly, averaging 23.380 USD bn from Sep 1982 (Median) to Mar 2025, with 511 observations. The data reached an all-time high of 1,386.528 USD bn in Apr 2020 and a record low of -135.572 USD bn in Apr 2001. United States Federal Government Financing: Borrowing from the Public data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F005: Federal Government Receipts and Outlays.

Government Effectiveness: Percentile Rank in United States was reported at 87.74 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Government Effectiveness: Percentile Rank - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

E-Government Software Market Outlook

The global e-Government software market size was valued at USD 10.5 billion in 2023 and is projected to reach USD 22.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.7% from 2024 to 2032. The growth of this market is majorly driven by the increasing need for digital transformation in government operations and the rising demand for enhanced citizen services. The market’s expansion is underpinned by various factors including technological advancements in software solutions, increasing internet penetration, and growing emphasis on data-driven decision-making in government bodies.

One of the primary growth factors propelling the e-Government software market is the escalating necessity for efficient and transparent government operations. Governments worldwide are increasingly adopting digital solutions to streamline their processes, enhance service delivery, and improve citizen engagement. This shift towards digital governance is driven by the need to reduce operational costs, minimize human error, and provide more accessible services to citizens. The surge in internet penetration and the proliferation of smartphones have further accelerated the adoption of e-Government software, as citizens now expect seamless and convenient access to government services online.

Another significant driver of the e-Government software market is the rising focus on data security and privacy. With the increasing volume of sensitive data being generated and processed by government bodies, there is a growing demand for robust software solutions that can ensure data integrity and protect against cyber threats. Governments are investing heavily in advanced security solutions such as encryption, firewalls, and anti-malware tools to safeguard critical information and prevent data breaches. This heightened focus on cybersecurity is expected to further drive the adoption of e-Government software in the coming years.

The advent of emerging technologies such as artificial intelligence (AI), machine learning (ML), blockchain, and Internet of Things (IoT) is also playing a pivotal role in the growth of the e-Government software market. These technologies are being increasingly integrated into e-Government solutions to enhance their functionality and efficiency. For instance, AI and ML are being used to analyze large datasets for predictive analytics and decision-making, while blockchain is being leveraged for secure and transparent transactions. The continuous advancements in these technologies are expected to create new opportunities for market growth and innovation.

Regionally, North America holds a prominent position in the e-Government software market, driven by the early adoption of advanced technologies and the presence of major market players. The region’s strong focus on digital governance and data security is expected to further fuel market growth. Meanwhile, the Asia Pacific region is anticipated to witness significant growth during the forecast period, owing to the increasing digitalization initiatives by governments in countries such as China, India, and Japan. The rising investments in smart city projects and the growing emphasis on improving public service delivery are expected to drive the demand for e-Government software in this region.

Component Analysis

The e-Government software market is segmented by components into software and services. The software segment encompasses various types of solutions such as government resource planning, analytics, security, and remote monitoring, among others. The demand for comprehensive software solutions is driven by the need for integrated systems that can streamline government operations and enhance service delivery. These software solutions enable governments to automate routine tasks, manage resources efficiently, and make data-driven decisions. The increasing adoption of cloud computing and the growing emphasis on digital transformation are expected to further drive the demand for e-Government software solutions.

Within the services segment, there is a rising demand for consulting, implementation, and maintenance services. Governments are seeking expert guidance to design and implement effective e-Government strategies that can meet their specific needs and objectives. Professional services such as system integration, customization, and training are essential for the successful deployment and operation of e-Government software solutions. Additionally, ongoing maintenance and support services are critical to ensure the smooth functioning and security of these systems. The growing

Success.ai’s Governmental and Congressional Data with Contact Data for Government Professionals Worldwide provides businesses, organizations, and institutions with verified contact information for key decision-makers in public sector roles. Sourced from over 170 million verified professional profiles, this dataset includes work emails, direct phone numbers, and LinkedIn profiles for government officials, administrators, policy advisors, and other influential leaders. Whether you’re targeting local municipalities, national agencies, or international government bodies, Success.ai delivers accurate, up-to-date data to help you engage effectively with public sector stakeholders.

Why Choose Success.ai’s Government Professionals Data?

1. Comprehensive Contact Information
2. Access verified work emails, phone numbers, and LinkedIn profiles of government professionals worldwide.

3. AI-driven validation ensures 99% accuracy, giving you confidence in the reliability and precision of the data.

4. Global Reach Across Public Sectors

5. Includes profiles of elected officials, policy advisors, department heads, procurement managers, and regulatory authorities.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East, enabling true global engagement.

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8. Real-time updates ensure your outreach remains timely, relevant, and aligned with current roles and responsibilities.

9. Ethical and Compliant

10. Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring ethical, lawful use of all contact data.

Data Highlights:

• 170M+ Verified Professional Profiles: Includes government decision-makers and influential public sector leaders worldwide.
• 50M Work Emails: AI-validated for accuracy and easy communication.
• 30M Company (Agency/Institution) Profiles: Offers insights into various government departments, agencies, and organizations.
• 700M Global Professional Profiles: Enriched datasets to support a wide range of outreach and strategic initiatives.

Key Features of the Dataset:

1. Government Decision-Maker Profiles
2. Identify and connect with officials responsible for policy-making, budget approvals, program implementation, and public procurement.

3. Engage with professionals who influence legislation, infrastructure projects, and community development initiatives.

4. Advanced Filters for Precision Targeting

5. Filter by geographic jurisdiction, agency type, policy focus, job title, and more to reach the right government professionals.

6. Tailor your campaigns to align with specific public interests, regulatory frameworks, or service areas.

7. AI-Driven Enrichment

8. Profiles are enriched with actionable data, providing deeper insights that help you tailor your messaging and improve engagement success rates.

Strategic Use Cases:

1. Policy and Advocacy Outreach
2. Reach policymakers, advisors, and regulators to advocate for policy changes, present research findings, or share best practices.

3. Engage with officials who have the authority to influence regulations and legislative outcomes.

4. Procurement and Vendor Relations

5. Connect with procurement managers and government buyers seeking solutions, products, or services.

6. Present technology, infrastructure, or consulting offerings to decision-makers managing public tenders and supplier relationships.

7. Public-Private Partnerships

8. Identify and connect with key stakeholders involved in PPP initiatives, infrastructure projects, and long-term strategic collaborations.

9. Expand your network within government circles to foster joint ventures and co-development opportunities.

10. Market Research and Strategic Planning

11. Utilize government contact data for in-depth market research, stakeholder analysis, and feasibility assessments.

12. Gather insights from regulators, policy experts, and department heads to inform business strategies.

Why Choose Success.ai?

1. Best Price Guarantee

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5. Data Accuracy with AI Validation

6. Count on 99% accuracy to inform your decision-making and improve the effectiveness of each interaction.

7. Customizable and Scalable Solutions

8. Tailor datasets to specific government tiers, agency types, or policy areas to meet unique organizational requirements.

APIs for Enhanced Functionality:

1. Data Enrichment API

2. Enhance your existing records with verified government contact data, refining targeting and personalization efforts.

3. Lead Generation API

4. Automate lead generation, ensuring efficient scaling of your outreach and saving time a...

Government Spending in El Salvador increased to 6126.78 USD Million in 2023 from 5742.62 USD Million in 2022. This dataset provides - El Salvador Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

A listing of each of Connecticut's 169 municipalities indicating both the form of local government (such as Mayor-Council) and the Term in years for the Chief Elected Official

Updated annually as part of OPM's Municipal Fiscal Indicators report

This table contains information on the expenditure of the general government sector. The terms and definitions used are in accordance with the framework of National Accounts. National Accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of National Accounts may occur due to the fact that government finance statistics are sometimes more up to date.

Data available from: Yearly figures from 1995, quarterly figures from 1999.

Status of the figures: The figures for the period 1995-2022 are final. The quarterly figures for 2023 are provisional. The annual figures for 2023 are final. The figures for 2024 and 2025 are provisional.

Changes as of 24 June 2025: The figures for the first quarter of 2025 are available. Figures for 2023 and 2024 have been adjusted due to updated information. The quarterly figures for 2022 and the annual figures for 2023 are final now. In the context of the revision policy of National accounts, the annual figures from 1995 and the quarterly figures from 1999 have been revised. Additionally, a correction has been made to the figures for 2022 for the Work and Care Act (WAZO) benefits related to the expanded partner leave.

Changes as of 10 April 2025: Due to an error made while processing the data, the initial preliminary figures for government expenditure in 2024 were calculated incorrectly. This causes a downward revision in government expenditure related to current taxes on income and wealth.

When will new figures be published? Initial quarterly figures are published three months after the end of the quarter. In September the figures on the first quarter are revised, in December the figures on the second quarter are revised and in March the first three quarters are revised. Yearly figures are published for the first time three months after the end of the year concerned. Yearly figures are revised two times: 6 and 18 months after the end of the year. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the most actual figures. Revised yearly figures are published in June each year. Quarterly figures are aligned to the three revised years at the end of June. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.