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.
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China Government Revenue: Tax: Year to Date: Tariffs data was reported at 244.300 RMB bn in Dec 2024. This records an increase from the previous number of 222.100 RMB bn for Nov 2024. China Government Revenue: Tax: Year to Date: Tariffs data is updated monthly, averaging 131.889 RMB bn from Jan 2007 (Median) to Dec 2024, with 209 observations. The data reached an all-time high of 299.785 RMB bn in Dec 2017 and a record low of 12.274 RMB bn in Jan 2007. China Government Revenue: Tax: Year to Date: Tariffs data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Revenue: Tax.
If Trump's proposed tariffs are imposed on Mexico, Canada, and China, the United States' federal tax revenue would increase by an estimated 106 billion U.S. dollars, making up about 0.35 percent of the nation's GDP.
In 2025, President Trump announced plans to implement a universal baseline tariff of 10 percent. Estimates show that a 10 percent universal tariff on imported goods would raise U.S. revenue by 2.95 trillion U.S. dollars, while a 20 percent tariff would raise revenue by 2.62 trillion U.S. dollars. Comparatively, imports before Trump's proposed taxes would increase revenue by 3.28 trillion U.S. dollars. By enacting tariffs on all imports, significantly less foreign-produced goods would be purchased, thus decreasing the overall amount of imported goods.
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.
Americans' understanding of tariffs appears limited, with only 27 percent feeling very confident about their knowledge of the trade policy tool. This lack of awareness comes at a time when tariffs have become a significant topic in U.S. economic discussions, particularly in relation to international trade relations and domestic industry protection. Potential impact of proposed tariffs Despite the public's uncertainty, proposed tariffs could have far-reaching effects on the U.S. economy. If implemented, certain proposals could increase the average tariff rate on dutiable imports to nearly 18 percent, a substantial rise from the two percent rate in 2024. Such changes would not only affect dutiable goods but also impose taxes on previously duty-free imports, potentially leading to a sharp increase in the overall tariff burden. Estimates suggest that imposing tariffs on Mexico, Canada, and China could increase federal tax revenue by approximately 106 billion U.S. dollars, equivalent to 0.35 percent of the nation's GDP.
This data package includes the underlying data files to replicate the data, tables, and charts presented in Why Trump’s tariff proposals would harm working Americans, PIIE Policy Brief 24-1.
If you use the data, please cite as: Clausing, Kimberly, and Mary E. Lovely. 2024. Why Trump’s tariff proposals would harm working Americans. PIIE Policy Brief 24-1. Washington, DC: Peterson Institute for International Economics.
Tax revenue from customs duty receipts in the United Kingdom amounted to 4.8 billion British pounds in 2023/24, compared with 5.53 billion pounds in the previous year.
http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
The dataset comprises three schedules categorising each of the HS 2017 6-digit product codes as A: nonsensitive, B: sensitive or C: excluded. The "offer" schedule is derived from the officially published offers where "none" indicates missing categorisations. The "repaired offer" amends the "offer" by categorising the missing codes such that the tariff revenue raised is maximised. The "maximum" schedule is constructed from scratch by categorising all codes such that the tariff revenue raised is maximised.
For details, please refer to the associated publications.
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This dataset is about book subjects and is filtered where the books includes Non-tariff barriers, enforcement, and revenues : the use of anti-dumping as a revenue generating trade policy, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).
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These tools are designed to inform high level thinking around micro-grid load and tariff considerations in sub-Saharan Africa. There are two related tools in this dataset:
This tool allows the user to see how the optimized LCOE for different micro-grid configurations change as a wide range of input parameters vary. Available toggles include geographical location, fuel prices, discount rates, level of planned reliability, load profile, technology costs, distribution system costs, and other soft costs. Furthermore, a breakdown of the LCOE is provided showing how different cost components contribute to the final LCOE. This tool can be used to obtain a better understanding of what cost-reflective tariffs in sub-Saharan micro-grid systems must be for different combinations of technical and economic project assumptions in order for developers to recover costs and attract investment. The modeled LCOE can also be compared to existing tariff structures and provide insight into the scale of subsidies and grants necessary to make micro-grid projects economically viable under current regulatory structures.
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This study investigates the effects of rule of origin (ROOs) and tariff margin on China-ASEAN Free Trade Agreement (CAFTA) utilization. Using a sample of 40,474 product-level observations with China’s imports from ASEAN countries during the period 2015 to 2021 and adopting the Logit model estimation methods, we found that larger tariff margin positively affects the use of CAFTA, whereas, the rules of origin show a negative effect on the CAFTA utilization. In order to assess the specific impact of two effects, we also calculate the relative contribution of these two effects to the CAFTA utilization by ASEAN countries, and the results show that the rules of origin play a more important role on the CAFTA utilization by each ASEAN country. Moreover, based on heterogeneity analysis, we also find that ROOs play an important role in the use of FTA by lower middle-income countries and the tariff margin play an important role in the use of FTA by upper middle-income and high-income countries. Based on the above findings, the study proposes some policy recommendations on how to increase the CAFTA utilization by reducing the ROO costs and accelerating tariff reductions.
During 2024, the annual import tax revenue of the Mexican Federal Government was around 137.82 billion Mexican pesos, that represents around a 37 percent increased when compared to the previous year. Nonetheless, the Mexican Government expects this figure to increase even further by adding new tariffs to foreign e-commerce platforms. Specifically, platforms from countries without a free trade agreement, such as Temu or Shein, will start paying a 19 percent tariff (depending on specific circumstances). This new import tax has two main objectives, protecting the national industries like manufacturing and increasing Government revenue.
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 amount Treasury has in short-term cash investments. Deposits and withdrawals of short-term cash investments are also represented in the Deposits and Withdrawals of Operating Cash table. This program was suspended indefinitely in 2008. All figures are rounded to the nearest million. As of February 14, 2023, Table V Short Term Cash Investments will no longer be updated and removed from the published report. The historical data will remain available.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset contains an annual summary of the car parking account from South Lakeland District Council.
These include a breakdown of the income and expenditure on the parking account. SLDC’s car parking account only relates to the off-street car parks that it owns or manages; it does not collect for, or enforce any on-street parking.
Expenditure includes cost for the provision and maintenance of designated off street parking places by the local authority.
Surplus statement: There are strict rules established by Government that stipulate how surplus parking funds are spent, but there are differences between on and off-street parking Any surpluses from on-street parking and both on and off-street enforcement must be used in accordance with section 55 of the Road Traffic Regulation Act 1984. This means that any income remaining after enforcement costs must be used for transport. Income from off-street parking fees and charges can be for general use by the local authority.
The Council only operates off-street car parks and enforcement of them. This authority has to balance the parking needs of residents plus a much-increased transient population visiting the area. We are always looking at ways of improving use of our car parks, such as increasing capacity of underused car parks. There has been no overall increase in tariffs since 2011-12 and lower charges or new tariffs have been established with the aim of making best use of resources and reducing congestion. For example, we have introduced an ‘Early Bird’ tariff in Westmorland Shopping Centre car park saving £3.80 on the daily rate, and set a tariff of £1.20 for all-day parking in a car park in Grange-over-Sands, saving £4.50. Any surplus funds raised from off-street parking facilities after expenditure including car park maintenance and improvement, are used to offset the costs to the Council of providing services to the public, which would otherwise have to be met through Council Tax.
Further information about the council’s car parks including location, number of parking bays, number of disabled parking spaces and charges can be found in the Car Parks in South Lakeland dataset.
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
Green electricity tariffs in the United Kingdom generated nearly nine billion British pounds in 2020. This was nearly double the amount brought in the previous year and a result of greater clean energy awareness among consumers.
In 2023, Chinese exports of trade goods to the United States amounted to about 427.23 billion U.S. dollars; a significant increase from 1985 levels, when imports from China amounted to about 3.86 billion U.S. dollars. U.S. exports to China Compared to U.S. imports from China, the value of U.S. exports to China in 2020 amounted to 427.23billion U.S. dollars. China is the United States’ largest trading partner, while China was the United States third largest goods export market. Some of the leading exports to China in the agricultural sector included soybeans, cotton, and pork products. Texas was the leading state that exported to China in 2020 based on total value of goods exports, at 16.9 billion U.S. dollars. U.S. - China trade war The trade war between the United States and China is an economic conflict between two of the world’s largest national economies. It started in 2018 when U.S. President Donald Trump started putting tariffs and trade barriers on China, with the intent to get China to conform to Trump’s wishes. President Trump claimed that China has unfair trade businesses. As a result of this trade war, it has caused a lot of tension between the U.S. and China. Nearly half of American companies impacted by the U.S.-China trade tariffs said that the trade war increased their cost of manufacturing. The healthcare product industry has suffered the most from the trade war in regards to reduced profits.
In 2023, electronics, computers, and components exports had the largest value amongst Vietnam's major commodities, at approximately 57.3 billion U.S. dollars. Meanwhile, phones and related components contributed around 52.4 billion U.S. dollars to total export earnings that year.
Vietnam – An export-driven country
Vietnam had greatly increased its volume and value of international trade since implementing economic reforms, or Đổi Mới in 1986. After Đổi Mới, Vietnam's trade balance recorded its first trade surplus in 2012 at around 750 million U.S. dollars. In 2019, Vietnam saw a negative growth rate of worldwide exports for the first time since 2010, with a total export value reaching over 361.93 billion U.S. dollars that year. The country’s main export partners include the United States, the European Union, China, Japan, and South Korea.
International trade agreements
In 2019, Vietnam signed several significant trade agreements such as the EU-Vietnam Free Trade Agreement (EVFTA), which led to the reduction of tariffs and customs duties for both Vietnam and the European Union, as well as the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), which not only gave Canada access to the Vietnamese market, but also facilitated the integration of Vietnam in the global value chain.
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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.