Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1Q027SBEA) from Q1 1959 to Q1 2025 about receipts, imports, tax, federal, production, government, GDP, and USA.

In the United States, the revenue from customs duty amounted to 80 billion U.S. dollars in 2023. The forecast predicts a slight increase in customs duty revenue to 97 billion U.S. dollars in 2024, and an increase over the next decade to 96 billion U.S. dollars by 2034.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in The US Revenue Implications of President Trump’s 2025 Tariffs, PIIE Briefing 25-2.

If you use the data, please cite as:

McKibbin, Warwick, and Geoffrey Shuetrim. 2025. The US Revenue Implications of President Trump’s 2025 Tariffs. PIIE Briefing 25-2. Washington: Peterson Institute for International Economics.

Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1A027NBEA) from 1929 to 2024 about receipts, imports, tax, federal, production, government, GDP, and USA.

Daily overview of federal revenue collections such as income tax deposits, customs duties, fees for government service, fines, and loan repayments.

In 2023, the total revenues of the U.S. government totaled around 4.44 trillion U.S. dollars. Revenues consist of individual and corporate income taxes, payroll taxes and other taxes. Individual income taxes amounted to 2.18 trillion U.S. dollars in 2023, whereas corporate income taxes totaled 420 billion U.S. dollars.

Graph and download economic data for Federal government current tax receipts (W006RC1Q027SBEA) from Q1 1947 to Q1 2025 about receipts, tax, federal, government, GDP, and USA.

The United States recorded a government budget surplus of 27000 USD Million in June of 2025. This dataset provides - United States Government Budget Value - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table shows the gross receipts, refunds and net receipts for the current month, the current fiscal year-to-date and the prior fiscal year-to-date for the various receipts of the federal government. 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 shows the gross outlays, applicable receipts and net outlays for the current month, current fiscal year-to-date and prior fiscal year-to-date by various agency programs accounted for in the budget of the federal government. 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 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 summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for functions of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. 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 shows the receipts and outlays of the United States Government by month for the current fiscal year, up to and including the current accounting month. The table also shows the total receipts and outlays for the current fiscal year-to-date and the comparable prior fiscal year-to-date. 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.

Green Tariff Electricity Market Outlook

According to our latest research, the global Green Tariff Electricity market size reached USD 14.9 billion in 2024, reflecting a robust momentum driven by increasing demand for renewable energy solutions. The market is projected to expand at a CAGR of 13.7% from 2025 to 2033, reaching an estimated USD 46.3 billion by 2033. This impressive growth trajectory is underpinned by rising corporate sustainability commitments, evolving regulatory frameworks, and heightened consumer awareness regarding environmental impact.

The primary growth factor propelling the Green Tariff Electricity market is the surging demand for clean energy alternatives among both commercial and residential end-users. Corporations, in particular, are increasingly seeking to decarbonize their operations and meet ambitious environmental, social, and governance (ESG) targets. Green tariff programs offer a practical pathway for organizations to purchase renewable energy directly from utilities or suppliers, thereby reducing their carbon footprint and aligning with global sustainability goals. Additionally, residential consumers are showing a growing preference for green tariff electricity, motivated by climate concerns and the desire for energy independence. This widespread adoption is further supported by government incentives, renewable portfolio standards, and the declining cost of renewable energy technologies.

Another significant driver is the evolving regulatory landscape, especially in developed regions such as North America and Europe, where governments are implementing stringent emission reduction targets and encouraging utilities to offer green tariff options. Policy instruments such as renewable energy certificates (RECs) and mandates for renewable energy procurement are fostering a favorable environment for market expansion. Utilities and competitive suppliers are responding by designing innovative green tariff products that cater to diverse customer segments, including community choice aggregation programs that enable local governments to procure renewable energy on behalf of residents and businesses. This regulatory push is not only increasing the availability of green tariff electricity but also enhancing transparency and consumer choice in the energy market.

Technological advancements in renewable energy generation and grid integration are also playing a crucial role in market growth. The proliferation of solar, wind, hydro, and biomass projects has expanded the pool of renewable resources available for green tariff programs. Improved grid management, energy storage solutions, and digital platforms are enabling utilities to offer more reliable and customizable green energy products. As a result, both large-scale industrial users and small-scale residential customers can access competitively priced green electricity with greater flexibility. These technological improvements are reducing barriers to entry and making green tariff electricity increasingly accessible across different regions and market segments.

From a regional perspective, North America and Europe are currently leading the Green Tariff Electricity market, accounting for the majority of global revenue in 2024. The United States, in particular, has witnessed rapid adoption of utility green tariffs, driven by proactive state policies and corporate leadership in sustainability. Europe’s market is buoyed by the European Union’s Green Deal and aggressive renewable energy targets, which have spurred both utility and competitive supplier green tariff offerings. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rising energy demand, urbanization, and government initiatives to integrate renewables into national grids. Latin America and the Middle East & Africa are also showing increasing interest, although market maturity and regulatory frameworks vary significantly across these regions.

Tariff Type Analysis

The Green Tariff Electricity market is segmented by tariff typ

Over the current period, the sugarcane harvesting industry has shown resilience, achieving consistent revenue growth despite serious challenges. From 2019 to 2024, heightened demand from sugar processors and rising sugar prices have propelled the industry revenue. However, extreme weather events such as Hurricane Ida in 2021 and Hurricane Debby in 2024 have significantly impacted yields in crucial regions like Louisiana and Florida and limited overall growth. Revenue has grown at a CAGR of 2.6% and is expected to reach $1.6 billion despite a drop of 31.9% in 2024. Despite revenue growth, the industry has seen declines in wages, number of establishments and employment. These trends have been partly in response to increased operational costs due to global conflicts and supply chain disruptions, which elevated crude oil and other essential costs. Farmers have managed to maintain stable profits by transferring these costs to consumers. Farmers were also somewhat protected from global trade and commodity price fluctuations by government programs and protective tariffs aimed at maintaining a stable market environment. The industry will face significant headwinds over the next five years. As consumers lean towards healthier options, domestic demand for sugar and sweeteners is expected to decline. Although imports stand to rise due to a weakening US dollar, domestic producers will still face steep competition from growing international producers, even with tariffs and quotas. Additionally, deflation in the agricultural sector, primarily driven by decreasing crude oil costs, will push down sugarcane prices. These factors will lead to a modest revenue decline. Nonetheless, opportunities may arise to expand ethanol production and provide alternative revenue streams for the industry. Revenue is expected to decline at a CAGR of 0.2% to reach $1.5 billion in 2029.

Goal 17Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentTarget 17.1: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collectionIndicator 17.1.1: Total government revenue as a proportion of GDP, by sourceGR_G14_GDP: Total government revenue (budgetary central government) as a proportion of GDP (%)GR_G14_XDC: Total government revenue, in local currencyIndicator 17.1.2: Proportion of domestic budget funded by domestic taxesGC_GOB_TAXD: Proportion of domestic budget funded by domestic taxes (% of GDP)Target 17.2: Developed countries to implement fully their official development assistance commitments, including the commitment by many developed countries to achieve the target of 0.7 per cent of gross national income for official development assistance (ODA/GNI) to developing countries and 0.15 to 0.20 per cent of ODA/GNI to least developed countries; ODA providers are encouraged to consider setting a target to provide at least 0.20 per cent of ODA/GNI to least developed countriesIndicator 17.2.1: Net official development assistance, total and to least developed countries, as a proportion of the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee donors’ gross national income (GNI)DC_ODA_SIDSG: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LDCG: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LLDC: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_SIDS: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LDCS: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LLDCG: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTG: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTL: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTLGE: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTGGE: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%)Target 17.3: Mobilize additional financial resources for developing countries from multiple sourcesIndicator 17.3.1: Foreign direct investment, official development assistance and South-South cooperation as a proportion of gross national incomeGF_FRN_FDI: Foreign direct investment (FDI) inflows (millions of US dollars)Indicator 17.3.2: Volume of remittances (in United States dollars) as a proportion of total GDPBX_TRF_PWKR: Volume of remittances (in United States dollars) as a proportion of total GDP (%)Target 17.4: Assist developing countries in attaining long-term debt sustainability through coordinated policies aimed at fostering debt financing, debt relief and debt restructuring, as appropriate, and address the external debt of highly indebted poor countries to reduce debt distressIndicator 17.4.1: Debt service as a proportion of exports of goods and servicesDT_TDS_DECT: Debt service as a proportion of exports of goods and services (%)Target 17.5: Adopt and implement investment promotion regimes for least developed countriesIndicator 17.5.1: Number of countries that adopt and implement investment promotion regimes for developing countries, including the least developed countriesSG_CPA_SIGN_BIT: Number of countries with a signed bilateral investment treaty (BIT) (Number)SG_CPA_INFORCE_BIT: Number of countries with an inforce bilateral investment treaty (BIT) (Number)Target 17.6: Enhance North-South, South-South and triangular regional and international cooperation on and access to science, technology and innovation and enhance knowledge-sharing on mutually agreed terms, including through improved coordination among existing mechanisms, in particular at the United Nations level, and through a global technology facilitation mechanismIndicator 17.6.1: Fixed Internet broadband subscriptions per 100 inhabitants, by speed5IT_NET_BBNDN: Number of fixed Internet broadband subscriptions, by speed (number)IT_NET_BBND: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants)Target 17.7: Promote the development, transfer, dissemination and diffusion of environmentally sound technologies to developing countries on favourable terms, including on concessional and preferential terms, as mutually agreedIndicator 17.7.1: Total amount of funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologiesTarget 17.8: Fully operationalize the technology bank and science, technology and innovation capacity-building mechanism for least developed countries by 2017 and enhance the use of enabling technology, in particular information and communications technologyIndicator 17.8.1: Proportion of individuals using the InternetIT_USE_ii99: Internet users per 100 inhabitantsTarget 17.9: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the Sustainable Development Goals, including through North-South, South-South and triangular cooperationIndicator 17.9.1: Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countriesDC_FTA_TOTAL: Total official development assistance (gross disbursement) for technical cooperation (millions of 2018 United States dollars)Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system under the World Trade Organization, including through the conclusion of negotiations under its Doha Development AgendaIndicator 17.10.1: Worldwide weighted tariff-averageTM_TAX_WMFN: Worldwide weighted tariff-average, most-favoured-nation status, by type of product (%)TM_TAX_WMPS: Worldwide weighted tariff-average, preferential status, by type of product (%)Target 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTX_IMP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise imports (%)TX_EXP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise exports (%)TX_EXP_GBSVR: Developing countries’ and least developed countries’ share of global services exports (%)TX_IMP_GBSVR: Developing countries’ and least developed countries’ share of global services imports (%)Target 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessIndicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTM_TAX_DMFN: Average tariff applied by developed countries, most-favored nation status, by type of product (%)TM_TAX_DPRF: Average tariff applied by developed countries, preferential status, by type of product (%)Target 17.13: Enhance global macroeconomic stability, including through policy coordination and policy coherenceIndicator 17.13.1: Macroeconomic DashboardTarget 17.14: Enhance policy coherence for sustainable developmentIndicator 17.14.1: Number of countries with mechanisms in place to enhance policy coherence of sustainable developmentSG_CPA_SDEVP: Mechanisms in place to enhance policy coherence for sustainable development (%)Target 17.15: Respect each country’s policy space and leadership to establish and implement policies for poverty eradication and sustainable developmentIndicator 17.15.1: Extent of use of country-owned results frameworks and planning tools by providers of development cooperationSG_PLN_PRVRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%)SG_PLN_RECRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)SG_PLN_PRVNDI: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%)SG_PLN_RECNDI: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%)SG_PLN_PRVRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by provider (%)SG_PLN_RECRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)SG_PLN_REPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) SG_PLN_PRPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of

This summary table shows the total amount of receipts and outlays and the amount of the budget surplus/deficit by month for the current and prior fiscal years. 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.

Goal 17Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentTarget 17.1: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collectionIndicator 17.1.1: Total government revenue as a proportion of GDP, by sourceGR_G14_GDP: Total government revenue (budgetary central government) as a proportion of GDP (%)GR_G14_XDC: Total government revenue, in local currencyIndicator 17.1.2: Proportion of domestic budget funded by domestic taxesGC_GOB_TAXD: Proportion of domestic budget funded by domestic taxes (% of GDP)Target 17.2: Developed countries to implement fully their official development assistance commitments, including the commitment by many developed countries to achieve the target of 0.7 per cent of gross national income for official development assistance (ODA/GNI) to developing countries and 0.15 to 0.20 per cent of ODA/GNI to least developed countries; ODA providers are encouraged to consider setting a target to provide at least 0.20 per cent of ODA/GNI to least developed countriesIndicator 17.2.1: Net official development assistance, total and to least developed countries, as a proportion of the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee donors’ gross national income (GNI)DC_ODA_SIDSG: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LDCG: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LLDC: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_SIDS: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LDCS: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LLDCG: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTG: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTL: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTLGE: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTGGE: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%)Target 17.3: Mobilize additional financial resources for developing countries from multiple sourcesIndicator 17.3.1: Foreign direct investment, official development assistance and South-South cooperation as a proportion of gross national incomeGF_FRN_FDI: Foreign direct investment (FDI) inflows (millions of US dollars)Indicator 17.3.2: Volume of remittances (in United States dollars) as a proportion of total GDPBX_TRF_PWKR: Volume of remittances (in United States dollars) as a proportion of total GDP (%)Target 17.4: Assist developing countries in attaining long-term debt sustainability through coordinated policies aimed at fostering debt financing, debt relief and debt restructuring, as appropriate, and address the external debt of highly indebted poor countries to reduce debt distressIndicator 17.4.1: Debt service as a proportion of exports of goods and servicesDT_TDS_DECT: Debt service as a proportion of exports of goods and services (%)Target 17.5: Adopt and implement investment promotion regimes for least developed countriesIndicator 17.5.1: Number of countries that adopt and implement investment promotion regimes for developing countries, including the least developed countriesSG_CPA_SIGN_BIT: Number of countries with a signed bilateral investment treaty (BIT) (Number)SG_CPA_INFORCE_BIT: Number of countries with an inforce bilateral investment treaty (BIT) (Number)Target 17.6: Enhance North-South, South-South and triangular regional and international cooperation on and access to science, technology and innovation and enhance knowledge-sharing on mutually agreed terms, including through improved coordination among existing mechanisms, in particular at the United Nations level, and through a global technology facilitation mechanismIndicator 17.6.1: Fixed Internet broadband subscriptions per 100 inhabitants, by speed5IT_NET_BBNDN: Number of fixed Internet broadband subscriptions, by speed (number)IT_NET_BBND: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants)Target 17.7: Promote the development, transfer, dissemination and diffusion of environmentally sound technologies to developing countries on favourable terms, including on concessional and preferential terms, as mutually agreedIndicator 17.7.1: Total amount of funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologiesTarget 17.8: Fully operationalize the technology bank and science, technology and innovation capacity-building mechanism for least developed countries by 2017 and enhance the use of enabling technology, in particular information and communications technologyIndicator 17.8.1: Proportion of individuals using the InternetIT_USE_ii99: Internet users per 100 inhabitantsTarget 17.9: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the Sustainable Development Goals, including through North-South, South-South and triangular cooperationIndicator 17.9.1: Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countriesDC_FTA_TOTAL: Total official development assistance (gross disbursement) for technical cooperation (millions of 2018 United States dollars)Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system under the World Trade Organization, including through the conclusion of negotiations under its Doha Development AgendaIndicator 17.10.1: Worldwide weighted tariff-averageTM_TAX_WMFN: Worldwide weighted tariff-average, most-favoured-nation status, by type of product (%)TM_TAX_WMPS: Worldwide weighted tariff-average, preferential status, by type of product (%)Target 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTX_IMP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise imports (%)TX_EXP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise exports (%)TX_EXP_GBSVR: Developing countries’ and least developed countries’ share of global services exports (%)TX_IMP_GBSVR: Developing countries’ and least developed countries’ share of global services imports (%)Target 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessIndicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTM_TAX_DMFN: Average tariff applied by developed countries, most-favored nation status, by type of product (%)TM_TAX_DPRF: Average tariff applied by developed countries, preferential status, by type of product (%)Target 17.13: Enhance global macroeconomic stability, including through policy coordination and policy coherenceIndicator 17.13.1: Macroeconomic DashboardTarget 17.14: Enhance policy coherence for sustainable developmentIndicator 17.14.1: Number of countries with mechanisms in place to enhance policy coherence of sustainable developmentSG_CPA_SDEVP: Mechanisms in place to enhance policy coherence for sustainable development (%)Target 17.15: Respect each country’s policy space and leadership to establish and implement policies for poverty eradication and sustainable developmentIndicator 17.15.1: Extent of use of country-owned results frameworks and planning tools by providers of development cooperationSG_PLN_PRVRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%)SG_PLN_RECRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)SG_PLN_PRVNDI: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%)SG_PLN_RECNDI: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%)SG_PLN_PRVRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by provider (%)SG_PLN_RECRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)SG_PLN_REPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) SG_PLN_PRPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of

This table represents the breakdown of taxes that are received by the federal government. Federal taxes received are represented as deposits in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million.

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 transactions labelled, Agency Securities, Issued Under Special Financing Authorities. Special financing authorities include financing that is established by legislation under special or unique circumstances and for a specific purpose. 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.