Germany DE: Exports: High-Income Economies: % of Total Goods Exports data was reported at 83.069 % in 2023. This records a decrease from the previous number of 83.682 % for 2022. Germany DE: Exports: High-Income Economies: % of Total Goods Exports data is updated yearly, averaging 85.309 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 90.931 % in 1989 and a record low of 79.795 % in 1960. Germany DE: Exports: High-Income Economies: % of Total Goods Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Exports. Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

The United States has, by far, the largest gross domestic product (GDP) of the G7 countries. Moreover, while the GDP of the other six countries fluctuated between 2000 and 2024, the U.S.' grew almost constantly, reaching an estimated 29.2 trillion U.S. dollars in 2024. The United States is also the world's largest economy ahead of China. Germany had the second largest economy of the G7 countries at around 4.7 trillion U.S. dollars.

In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

Aruba AW: Exports: High-Income Economies: % of Total Goods Exports data was reported at 43.903 % in 2023. This records a decrease from the previous number of 44.954 % for 2022. Aruba AW: Exports: High-Income Economies: % of Total Goods Exports data is updated yearly, averaging 57.890 % from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 75.987 % in 1997 and a record low of 21.983 % in 2011. Aruba AW: Exports: High-Income Economies: % of Total Goods Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Aruba – Table AW.World Bank.WDI: Exports. Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

About the Project The project explores alternative methods of measuring economic diversification and investigating its associated impacts on the Saudi Arabian economy and other GCC countries. By utilizing a financial portfolio framework reconciled with economic growth theory, the economy is viewed as a portfolio of economic sectors, each contributing to the overall output growth. Results demonstrated that diversification policies have been effective, as the economy moves towards higher growth with lower instability. Key Points Evidence confirms that there is a positive correlation between the economic growth rate and its volatility/risk in the Gulf Cooperation Council (GCC) region. In other words, there is a trade-off between the benefits of oil and gas activity and the volatility resulting from unpredictable commodity price swings in such resource dependent economies. Our analysis uses a financial portfolio framework approach (and more specifically an efficient frontier analysis), treating economic sectors as individual investments. We calculate a relative risk measure termed the ‘beta coefficient’ and assemble a portfolio of sectors with varying weights to find the efficient frontier. If the beta of the portfolio representing the economy is above global average, the economy will generally grow faster than the global average but with greater volatility – the upturns will be higher and the downturns deeper. We aim to shed light on diversification policy from this novel, if not yet widely accepted, perspective. The GCC economies exhibit ‘high beta,’ particularly Qatar. Saudi Arabia sits in the middle of the group, but above the global average, while Oman has the lowest coefficient of the group. Saudi Arabia’s National Transformation Plan to 2020 and economic Vision 2030 envisage an economy that is still invested in oil and gas activity at 45 percent of total output. While diversification policies in these plans promote economic growth, it still leaves the economy exposed to the volatility of energy markets. In comparison, the optimal mix of economic sectors could increase the growth rate by more than 1 percent annually and nearly halve the expected volatility (to less than 60 percent of growth rate). Saudi Arabia’s historical economic policies were effective in achieving some diversification. However, their benefits could be increased by policies that balance productive efficiency with diversification of economic activity. The difference between policy-optimized portfolio and non-constrained optimization can be used to estimate the size of the fiscal stabilization fund needed to protect the economy from stop/go risks to diversification objectives.

This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for High School Of Economics & Finance vs. New York and New York City Geographic District # 2 School District

In 2023, Shanghai was the city with the largest GDP in China, reaching a value added of approximately *** trillion yuan. The four Chinese first-tier cites Beijing, Shanghai, Shenzhen, and Guangzhou had by far the strongest economic performance. Development of Chinese cities Rapid urbanization and economic growth have reshaped all Chinese cities since the economic opening up of China. While the first-tier cities have overall benefitted most from this development, the last two decades have seen many second-tier cities catching up. For many years already, growth rates in Qingdao, Hangzhou, Changsha, and Zhengzhou have been higher than in Shanghai or Beijing.This development was driven by lower costs in smaller cities, a specialization of their economies, and political measures to support inland cities and ease the pressure on the largest municipalities. Today, per capita GDP in cities such as Suzhou, Nanjing, and Shenzhen is already higher than in Beijing or Shanghai. Future perspectives Competition between cities will further change China’s urban landscape in the future. Medium-sized cities that can provide an attractive economic environment have the potential to grow their economy at a faster pace, attract immigration, and further increase their relative importance. Cities that are losing their competitive edge, however, like Shenyang, Dalian, and other cities in the northeastern rustbelt, are increasingly confronted by economic stagnation and demographic decline.

This paper analyzes the role of specialized high-skilled labor in the disproportionate growth of the service sector. Empirically, the importance of skill-intensive services has risen during a period of increasing relative wages and quantities of high-skilled labor. We develop a theory in which demand shifts toward more skill- intensive output as productivity rises, increasing the importance of market services relative to home production. Consistent with the data, the theory predicts a rising level of skill, skill premium, and relative price of services that is linked to this skill premium. (JEL J24, L80, L90)

Not all households in San Mateo County enjoy the opportunities that its high-performing economy has to offer. DOH's goal is to increase the rate at which the County’s low-income residents are able to access the opportunities the county has to offer by encouraging affordable housing development in High and Highest Resource areas. High and Highest Resource areas are mapped here: CTCAC/HCD Opportunity Area Map: https://www.treasurer.ca.gov/ctcac/opportunity.asp. This map identifies areas in every region of the state whose characteristics have been shown by research to be associated with positive economic, educational, and health outcomes for low-income families—particularly long-term outcomes for children. DOH will use its development pipeline dashboard to map the location of DOH-investments in affordable housing projects within these higher resource areas. The AHF Notice of Funding Opportunity will continue to prioritize developments located in higher resource areas. The definition for high and highest opportunity areas may change in the future but will be informed by State guidance and methodology. This performance measure shows the percentage of affordable housing development projects completed in the high and highest resource areas in a fiscal year. Project completion was selected as a benchmark as this is the time when low-income families gain access to affordable housing. DOH disaggregates the data showing the percentage of units, from the completed projects in a fiscal year, by income level and a special population served known as County Clients.

Malta MT: Imports: High-Income Economies: % of Total Goods Imports data was reported at 73.360 % in 2016. This records a decrease from the previous number of 81.040 % for 2015. Malta MT: Imports: High-Income Economies: % of Total Goods Imports data is updated yearly, averaging 89.248 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 93.119 % in 2000 and a record low of 73.360 % in 2016. Malta MT: Imports: High-Income Economies: % of Total Goods Imports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malta – Table MT.World Bank.WDI: Imports. Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

This dataset tracks annual asian student percentage from 2004 to 2012 for International Finance & Economic Development High School At vs. New York and Rochester City School District

ABSTRACT Food prices play a major role in setting inflation rates, and in recent years’ global climatic conditions has worsened a lot while global demand is increasing due to the growth of the middle class in countries such as China and India. Rising food prices remains a key concern for the government of Saudi Arabia. Saudi Arabia remains vulnerable to increases in food prices due to its high dependence on imports. The Saudi economy is an open-market based economy which is reflected by data of foreign trade with trading partners of the Kingdom. High degree of economic openness of a country causes the domestic inflation rate to be affected by change in the prices of goods in the country of origin. Saudi government is facing the challenge of limiting inflation amid a spike in global food prices. Another major challenge to the effectiveness of the Saudi monetary policy is the lack of autonomy due to the pegged exchange rate system with the US dollar. This paper attempts to study the market dynamics of the kingdom of Saudi Arabia, drivers responsible for inflation and measures that has been taken by the government to deal with the situation.

Quality of Life by State 2024

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This dataset provides insights into the quality of life across different states in the United States for the year 2024. Quality of life, encompassing aspects like comfort, health, and happiness, is evaluated through various metrics including affordability, economy, education, and safety. Dive into this dataset to understand how different states fare in terms of overall quality of life and its individual components.

Columns Description

• State: The name of the U.S. state.
• QualityOfLifeTotalScore: The total score representing the overall quality of life for the respective state. This score is calculated based on various quality of life metrics.
• QualityOfLifeQualityOfLife: The score representing the quality of life aspect for the respective state. This aspect may include subjective factors related to happiness, satisfaction, and overall well-being. Higher scores may indicate a higher level of subjective well-being, happiness, or overall satisfaction among residents. Lower scores could suggest lower levels of subjective well-being.
• QualityOfLifeAffordability: The score representing the affordability aspect of the quality of life for the respective state. This aspect evaluates factors such as cost of living, housing affordability, and income levels. Higher scores typically indicate greater affordability of housing, cost of living, and basic necessities. Lower scores may suggest that these essentials are less accessible or more expensive for residents.
• QualityOfLifeEconomy: The score representing the economic aspect of the quality of life for the respective state. This aspect assesses factors such as employment opportunities, economic growth, and income distribution. Higher scores may reflect a stronger economy with more job opportunities, higher incomes, and lower levels of poverty. Lower scores might indicate economic challenges such as unemployment or income inequality.
• QualityOfLifeEducationAndHealth: The score representing the education and health aspect of the quality of life for the respective state. This aspect considers factors such as access to quality education, healthcare facilities, and overall public health indicators. Higher scores generally signify better access to quality education, healthcare services, and overall public health. Lower scores may indicate deficiencies in these areas, such as limited access to healthcare or lower educational attainment levels.
• QualityOfLifeSafety: The score representing the safety aspect of the quality of life for the respective state. This aspect evaluates factors such as crime rates, public safety measures, and community well-being initiatives. Higher scores suggest lower crime rates, better community safety, and a higher sense of security among residents. Lower scores may indicate higher crime rates or concerns about safety.

These descriptions provide an overview of what each column represents and the specific aspects of quality of life they assess for each U.S. state.

This dataset tracks annual distribution of students across grade levels in South Atlanta Leadership And Economic Empowerment High School

CPIA economic management cluster average (1=low to 6=high) in Mali was reported at 3.8333 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mali - CPIA economic management cluster average (1=low to 6=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 2024, the annual per capita gross domestic product (GDP) in different provinces, municipalities, and autonomous regions in China varied from approximately 228,200 yuan in Beijing municipality to roughly 52,800 yuan in Gansu province. The average national per capita GDP crossed the threshold of 10,000 U.S. dollars in 2019 and reached around 95,700 yuan in 2024. Regional economic differences in China The level of economic development varies considerably in different parts of China. Four major geographic and economic regions can be discerned in the country: The economically advanced coastal regions in the east, less developed regions in Northeast and Central China, and the developing regions in the west. This division has deep historical roots reflecting the geography of each region and their political past and present. Furthermore, regional economic development closely correlates with regional urbanization rates, which closely resembles the borders of the four main economic regions. Private income in different parts of China Breaking the average income figures further down by province, municipality, or autonomous region reveals that the average disposable income in Shanghai or Beijing is on average more than three times higher than in Tibet or Gansu province. In rural areas, average disposable income is often only between one third and one half of that in urban areas of the same region. Accordingly, consumer expenditure per capita in urban areas reaches the highest levels in Shanghai, Beijing, and the coastal regions of China.

Gross domestic product is the total value of all goods and services produced in a country in a year. It is considered an important indicator of the economic strength of a country. In 2024, GDP in Turkey amounted to around 1,322.41 billion U.S. dollars. Gross domestic product as a reliable indicatorGross domestic product, or GDP for short, not only shows the aforementioned value; by doing so it gives an idea of the state of a country’s economy and standard of living. The higher and more stable a country’s GDP, the better its economic situation. Since GDP is measured consistently worldwide, comparisons between countries are possible and quite reliable. Turkey’s economy on the decline? Turkey’s gross domestic product has been on a decline for the past years and is estimated to hit rock bottom in 2019, with a projected steep upturn afterwards. At the same time, inflation is set to peak at almost 17.5 percent the same year, and unemployment is on the rise. All in all, the figures do not look promising for Turkey, but at least estimations assume a quick recovery. However, this economic development is likely due to the political path the country has chosen in recent years, and it remains to be seen if the forecasts will prove true in the future or if Turkey’s economy needs to brace itself for a further downturn instead.

This dataset tracks annual black student percentage from 2008 to 2009 for South Atlanta Leadership And Economic Empowerment High School vs. Georgia and Atlanta Public Schools School District

Sweden SE: Imports: High-Income Economies: % of Total Goods Imports data was reported at 85.539 % in 2016. This records an increase from the previous number of 84.486 % for 2015. Sweden SE: Imports: High-Income Economies: % of Total Goods Imports data is updated yearly, averaging 85.678 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 89.474 % in 1990 and a record low of 80.202 % in 1974. Sweden SE: Imports: High-Income Economies: % of Total Goods Imports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Imports. Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;