This statistic illustrates the value of pay owed to federal employees due to the U.S. government shutdown as of ****************, by governmental department. As of ****************, it is estimated that employees of the Department of Homeland Security are owed about *********** U.S. dollars in pay.

This statistic gives a breakdown of how the budget of the Department of Homeland is allocated amongst the various organizations administered by the agency in FY 2022. The FY 2022 saw funding for U.S. Customs and Border Protection reach around 16.4 billion U.S. dollars.

The DXY exchange rate fell to 98.8357 on October 27, 2025, down 0.12% from the previous session. Over the past month, the United States Dollar has strengthened 0.95%, but it's down by 5.21% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on October of 2025.

In 2020, 86 percent of surveyed Republicans said that they were in favor of building a wall along the U.S.-Mexico border in order to try to stop illegal immigration. In comparison, 36 percent of Independents and 79 percent of Democrats opposed building a wall along the southern border.

Immigration figures

Building a wall along the U.S.-Mexico border to stop illegal immigration was a major promise of President Donald Trump’s 2016 presidential campaign. President Trump maintains that a wall would stop illegal immigration into the U.S., despite the fact that in 2016, the majority of undocumented migrant arrivals occurred by overstaying visas rather than passing unchecked through a border.

The 2019 government shutdown

At the end of 2018, President Trump demanded that Congress pass a federal appropriations bill including almost six billion U.S. dollars in order to fund construction of a border wall, which Congress refused to do. This triggered a lapse in federal funding, causing the longest government shutdown in American history, at 35 days long.

This statistic illustrates the value of lost labor during the U.S. government shutdown as of ****************, by governmental department. As of ****************, it is estimated that the government has lost a total of **** billion U.S. dollars in lost labor due to the shutdown.

This statistic illustrates the estimated reduction in federal expenditure due to the partial government shutdown in the United States, which took place from December 22, 2018 to January 25, 2019. During that time, it is estimated that the U.S. federal government reduced its spending on goods and services by about nine billion U.S. dollars.

1. Daily data: The closing exchange rate of New Taiwan dollars against the US dollar in the interbank market on each business day. (Source: Taipei Forex Inc.)
2. Monthly data: The average (geometric mean) of the closing exchange rate data of New Taiwan dollars against the US dollar in the interbank market for each business day of the month.
3. Annual data: The average (geometric mean) of the monthly data of the closing exchange rate of New Taiwan dollars against the US dollar in the interbank market for the year.

The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:

1. Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.

2. Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.

3. Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.

4. Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.

5. Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.

6. The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:

7. Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.

8. Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.

9. Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.

10. Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.

11. Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.

12. Data Quality: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.

Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.

Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.

This dataset shows the cost, duration and number of people affected by government-imposed internet shutdowns in 22 countries in 2021. It also provides information on any additional human rights abuses perpetrated during each shutdown.

View market daily updates and historical trends for Canadian Dollar to US Dollar 60-Day Forward Closing Rate (DISCONTINUED). from United States. Source: B…

Global Export of Parts of Wash, Filling, Closing, Aerating Machinery Share by Country (US Dollars), 2023 Discover more data with ReportLinker!

View market daily updates and historical trends for Canadian Dollar to US Dollar 1-Year Forward Closing Rate (DISCONTINUED). from United States. Source: B…

View monthly updates and historical trends for Canadian Dollar to US Dollar 90-Day Forward Closing Rate (DISCONTINUED). from United States. Source: Bank o…

Global Crypto Currency Database

The Global Crypto Currency Database is a comprehensive and meticulously curated dataset that offers a wealth of information on over 7500 cryptocurrencies, each paired with the US Dollar (USD). This dataset is an invaluable resource for anyone interested in exploring the world of digital currencies and analyzing their market behavior. These not only include popular coins such as BTC, ETH, and SOL but it also captures newly released coins as well.

Dataset File Structure

The Dataset is structured with the following key fields:

Name: Coin Name - Type: String - Description: The official name of the cryptocurrency, enabling easy identification and reference to specific digital coins.

Symbol: Trading Symbol of the Coin - Type: String - Description: This field provides the unique trading symbol associated with each cryptocurrency, a vital element for traders and investors.

Date: Date of the Price - Type: Datetime - Description: Accurate time-stamping allows for precise tracking of cryptocurrency prices, facilitating trend analysis and historical comparisons.

Open: Opening Price of the Day - Type: Number - Description: The opening price signifies the value at which the cryptocurrency began trading on a particular day, offering insights into market sentiment.

High: Highest Price of the Day - Type: Number - Description: The highest price recorded during the day provides a glimpse into the cryptocurrency's peak performance within a given timeframe.

Low: Lowest Price of the Day - Type: Number - Description: The lowest price registered during the day offers a perspective on the cryptocurrency's lowest trading point within that period.

Close: Closing Price of the Day - Type: Number - Description: The closing price represents the cryptocurrency's final trading value for the day, crucial for assessing daily market performance.

Adj Close: Adjusted Closing Price of the Day - Type: Number - Description: This field accounts for various factors such as dividends and stock splits, offering a more accurate view of a cryptocurrency's closing price.

Potential Uses

1. Investment Analysis

Investors can leverage this dataset to analyze historical price trends, volatility, and correlations between cryptocurrencies and traditional assets. It helps in making informed investment decisions and managing risk in cryptocurrency portfolios.

2. Market Research

Market researchers can use this dataset to study market dynamics, identify emerging cryptocurrencies, and assess the impact of news events on cryptocurrency prices. It aids in understanding market sentiment and behavior.

3. Algorithmic Trading

Traders and quantitative analysts can develop algorithmic trading strategies based on historical price data. The dataset enables the backtesting of trading algorithms to assess their effectiveness.

4. Risk Management

Risk managers can assess the risk associated with cryptocurrency investments by analyzing historical price volatility and correlations with other asset classes.

5. Academic Research

Academics and researchers can use this dataset to conduct studies on various aspects of the cryptocurrency market, contributing to the academic understanding of digital currencies.

Conclusion

The Global Crypto Currency Database is a versatile and informative dataset that opens doors to a wide range of applications in the world of cryptocurrencies. Its structured and detailed information allows users to gain insights, make data-driven decisions, and explore the ever-evolving landscape of digital assets. Whether you're an investor, researcher, trader, or enthusiast, this dataset is a valuable tool for navigating the complexities of the cryptocurrency market.

In August 2025, the public debt of the United States was around 37.27 trillion U.S. dollars, a slight decrease from the previous month. The U.S. public debt ceiling has become one of the most prominent political issues in the States in recent years, with debate over how to handle it causing political turmoil between Democrats and Republicans. The public debt The public debt of the United States has risen quickly since 2000, and in 2022 was more than five times higher than in 2000. The public debt is the total outstanding debt that is owed by the federal government. This figure comprises debt owed to the public (for example, through bonds) and intergovernmental debt (debt owed to various governmental departments), such as Social Security. Debt in Politics The debt issue has become a highly contentious topic within the U.S. government. Measures such as stimulus packages, social programs and tax cuts add to the public debt. Additionally, spending tends to peak during large global events, such as the Great Depression, the 2008 financial crisis, or the COVID-19 pandemic - all of which had a detrimental impact on the U.S. economy. Although both major political parties in the U.S. tend to blame one another for increases in the country's debt, a recent analysis found that both parties have contributed almost equally to national expenditure. Debate on raising the debt ceiling, or the amount of debt the federal government is allowed to have at any one time, was a leading topic in the government shutdown in October 2013. Despite plans from both Democrats and Republicans on how to lower the national debt, it is only expected to increase over the next decade.

By 2035, the gross federal debt of the United States is projected to be about 59.3 trillion U.S. dollars. This would be an increase of around 24 trillion U.S. dollars from 2024, when the federal debt was around 35 trillion U.S. dollars. The federal debt of the U.S. The federal debt, also called the national debt or public debt, is the amount of debt held by the United States government. This debt may be to other countries, or to different departments within the government itself. The public debt of the United States has increased significantly over the past 30 years, as it was around 3.2 trillion U.S. dollars in 1990 and surpassed 30 trillion dollars for the first time in 2022. When broken down per capita, the national debt amounted to about 80,885 U.S. dollars of debt per person in the United States in 2021. The problem of the federal debt Over the past decade, the federal debt limit in the United States has increased significantly. The U.S. debt ceiling can only be changed by an act of Congress which is then signed by the president. The raising of the ceiling has become a recurring political issue in recent years, especially during times when the Presidency and chambers of Congress are controlled by different parties. The debt ceiling is a tool that allows the Treasury to issue bonds without congressional approval, allowing for efficiency in the way that the government pays for programs and services. It is thought to be further valuable in that it keeps federal finances in check. However, when the two parties are unable to come to an agreement on raising the debt ceiling, the government comes to a shutdown because they can no longer fund themselves. The Republican Party in particular often positions itself against raising the federal debt ceiling, characterizing themselves as the party of fiscal conservativism. However, analyses have shown that both parties have contributed to the country's debt in almost equal measures.

Between January 2020 and April 2024, the economic impact of internet shutdowns worldwide amounted to almost 53 billion U.S. dollars. In the preceding year, the global internet restrictions cost 9.13 billion U.S. dollars. The shutdowns in Russia caused the highest amount of financial losses. Online shutdowns and blackouts are generally seen as an indicator of low internet freedom.

In 2023, Russia ranked first by the economic impact of internet shutdowns in the country. The restrictions placed by the government cost 4.02 billion U.S. dollars in the measured year. Internet users in Myanmar endured a total of 18,768 hours of shutdowns, which affected 23.7 million users and had an economic impact of approximately 974 million U.S. dollars. Brazil had the largest population impacted by the internet shutdowns. Online shutdowns and blackouts are generally seen as an indicator of low internet freedom.

Between January 2012 and February 2024, there were 805 government-imposed internet shutdowns across India, resulting in the highest number of internet blocks in the world so far. According to the Freedom House Index ratings of 2019, India was labelled a partially free democracy and scored a mediocre 55 points out of 100 on the freedom of internet parameters.

Cost of shutdowns

In 2019, India’s forced internet blackouts lasted well over four thousand hours, resulting in an economic loss of over 1.3 billion U.S. dollars, third in the world’s most economically affected countries, after Iraq and Sudan. The report added that India’s internet blackouts tend to be highly targeted and at times they are down to the level of individual blacklisting. Some internet shutdowns are imposed for a few hours in just a few city districts, while others are a blanket restriction of all internet services across larger regions in the country. As such, the report warns that the full economic impact is likely to be much higher than the stated figures.

Justifications for internet shutdowns

In 2016, the United Nations declared internet access as a basic human right. Despite this, many governments including India seem to be normalizing internet shutdowns. Public safety was the most common government justification to enable internet shutdowns in 2018, followed by national security. Fake news or hate speech, usually called disinformation, was ranked third. However, official justifications for shutdowns rarely seemed to match actual causes, which frequently included political instability and civilian protests.