The DXY exchange rate rose to 97.8683 on July 11, 2025, up 0.22% from the previous session. Over the past month, the United States Dollar has weakened 0.05%, and is down by 5.98% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

In 2018, airline written premiums amounted to over 1.3 billion U.S. dollars, an increase from 1.15 billion U.S. dollars in the previous year. Accidents in the aviation industry According to the severity of a crash, an aircraft incident could result in hull loss or fatal accidents. An aircraft, when damaged during the flight can lead to wreckage beyond economically desirable repair. These types of accidents are considered as hull loss and accounted as a total loss for a firm. When an aircraft incident leads to fatalities, then it is considered as a fatal accident. Most of the fatal accidents also lead to hull loss, yet most of the hull losses do not result in fatalities. Striving to enhance efficiency and safety, aviation firms reduced aircraft hull losses down to 0.21 hull loss per one million flights in 2019. Loss of control was the most likely reason for a fatal aircraft accident. Airline insurance Although quite rare, the cost of an aircraft incident could reach over half a billion U.S. dollars. Airlines purchase insurance packages to cover potential losses, ranging from service mistakes to hull loss. Insurance coverage reduces the risks of an airline's operations. Yet insurance for airline operations is considerably costly, inducing some air transportation companies not to acquire insurance coverage. Total airline insurance by air carriers demonstrated a declining trend, indicating a lower level of insured airline operations to cover hull loss, liabilities or other activities. In 2018, the airline insurance cost for commercial aviation was over 2.9 billion U.S. dollars. On the other hand, if an unexpected event occurs, airlines open a claim to receive an insured amount with respect to the losses incurred. Between 2016 and 2020, collision or crash incidents accounted for over half of all aviation insurance claims by value, which was equivalent to nine billion U.S. dollars. During the same period, travel issues including luggage or delay composed 13 percent of the total number of aviation insurance claims globally.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Accident. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Accident, the median income for all workers aged 15 years and older, regardless of work hours, was $36,481 for males and $26,192 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Accident. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Accident.

- Full-time workers, aged 15 years and older: In Accident, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,801, while females earned $51,343, leading to a 16% gender pay gap among full-time workers. This illustrates that women earn 84 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Accident, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/accident-md-income-by-gender.jpeg" alt="Accident, MD gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income by gender. You can refer the same here

The USD/MXN exchange rate rose to 18.6326 on July 11, 2025, up 0.18% from the previous session. Over the past month, the Mexican Peso has strengthened 1.34%, but it's down by 5.78% over the last 12 months. Mexican Peso - values, historical data, forecasts and news - updated on July of 2025.

On October 29, 1929, the U.S. experienced the most devastating stock market crash in it's history. The Wall Street Crash of 1929 set in motion the Great Depression, which lasted for twelve years and affected virtually all industrialized countries. In the United States, GDP fell to it's lowest recorded level of just 57 billion U.S dollars in 1933, before rising again shortly before the Second World War. After the war, GDP fluctuated, but it increased gradually until the Great Recession in 2008. Real GDP Real GDP allows us to compare GDP over time, by adjusting all figures for inflation. In this case, all numbers have been adjusted to the value of the US dollar in FY2012. While GDP rose every year between 1946 and 2008, when this is adjusted for inflation it can see that the real GDP dropped at least once in every decade except the 1960s and 2010s. The Great Recession Apart from the Great Depression, and immediately after WWII, there have been two times where both GDP and real GDP dropped together. The first was during the Great Recession, which lasted from December 2007 until June 2009 in the US, although its impact was felt for years after this. After the collapse of the financial sector in the US, the government famously bailed out some of the country's largest banking and lending institutions. Since recovery began in late 2009, US GDP has grown year-on-year, and reached 21.4 trillion dollars in 2019. The coronavirus pandemic and the associated lockdowns then saw GDP fall again, for the first time in a decade. As economic recovery from the pandemic has been compounded by supply chain issues, inflation, and rising global geopolitical instability, it remains to be seen what the future holds for the U.S. economy.

About this dataset

Context

The dataset illustrates the median household income in Accident, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Accident increased by $8,259 (16.36%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Accident, MD, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 10,728, while the mean income for the highest quintile (20% of households with the highest income) is 123,971. This indicates that the top earners earn 12 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 145,094, which is 117.04% higher compared to the highest quintile, and 1352.48% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income. You can refer the same here

The arrest of FTX founder and former CEO Sam Bankman-Fried in the Bahamas in December 2022 - over charges of conspiracy and defrauding investors - made headlines worldwide. Less than a year before that, and before the crypto market suffered a two trillion-dollar crash, Bankman-Fried was the second richest crypto billionaire on the planet, with a fortune of 24 billion U.S. dollars.

Binance: clinging to top, bouncing between legal issues and coin drops
Binance founder and CEO Changpeng Zhao was the richest crypto boss before and after the market crash - and was also the one who suffered the highest losses. The world's leading crypto exchange by trading volume, Binance is reportedly being investigated by the U.S. Department of Justice over alleged money laundering violations. In December 2022, Binance temporarily halted withdrawals of Stablecoin USDC - a digital stablecoin pegged to the U.S. dollar. This came after the crypto exchange witnessed a flurry of withdrawals amounting to a total of 1.9 billion dollars in 24 hours, and as it tried to reassure investors about the security of their holdings.

The crypto crash: a domino effect fueled by global uncertainty
Digital currencies lost two trillion dollars in value following their peak of three billion in November 2021, due to a combination of growing interest rates and inflation which drove investors to pull back from deemed risky assets. Bitcoin saw its value fall by more than half since its late 2021 peak, which in turn caused the whole crypto market to collapse. The subsequent downfall of FTX also contributed to wreaking havoc on the market.

It is estimated that B2C accident and health insurance premiums written by the insurance industry in the United States will reach approximately 851.12 billion U.S. dollars by 2024, and 182.95 billion U.S. dollars will be written online. This is an overall increase from 559.22 billion U.S. dollars in 2019.

About this dataset

Context

The dataset presents the median household income across different racial categories in Accident. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Accident population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 96.33% of the total residents in Accident. Notably, the median household income for White households is $60,208. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $60,208.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Accident.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income by race. You can refer the same here

The statistic shows the gross domestic product (GDP) per capita in Japan from 1987 to 2024, with projections up until 2030. In 2024, the estimated gross domestic product per capita in Japan was around 32,498.15 U.S. dollars. For further information, see Japan's GDP. Japan's economy Japan is the world’s second largest developed economy and a member of the Group of Eight, also known as G8, which is comprised of the eight leading industrialized countries. Due to a weak financial sector, overregulation and a lack of demand, Japan suffered substantially from the early 1990s until 2000, a time referred to as ‘’The Lost Decade’’. Japan’s economy is still slowly recovering from the country’s asset price bubble collapse; however it continues to struggle to retain economic milestones achieved in the 1980s. Japan’s response to the crash was to stimulate the economy, which in turn resulted in extensive amounts of debt that further increased into the 21st century, most notably after the 2008 financial crisis. Despite maintaining a surprisingly low unemployment rate, demand within the country remains inadequate, primarily because Japanese residents spend a rather small fraction of the money they earned from the workplace. Lower demand often has a direct effect on production, with companies seeing not enough profits to continue production at such a high rate. Based on the consumer confidence index, Japanese households found that their quality of life, income growth, employment and propensity to durable goods was below satisfactory standards, perhaps due to these households still experiencing the effects of the 1990s bubble crash.

The average accident and illness insurance premium for cats in the United States was significantly lower than the average premium for dogs in 2023. The average annual cost for accident and illness insurance coverage for a dog cost 431.45 U.S. dollars in 2013, increasing to 675.6 U.S. dollars by 2023. Meanwhile, the average premium for a cat was only 383.3 U.S. dollars in 2023.

Foreign Exchange Reserves in Russia increased to 680379 USD Million in May from 680271 USD Million in April of 2025. This dataset provides - Russia Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Personal accident and health insurance (PA&H) in the Asia-Pacific region was forecast to reach nearly 422 billion U.S. dollars in 2026. Since 2016 PA&H has consistently increased in the region, reaching 128.8 billion U.S. dollars in 2016 and it was projected to surpass 294 billion U.S. dollars by 2023.

The statistic presents the value of gross premiums written by accident and health insurance companies in Japan from 2009 to 2013 and a forecast thereof until 2025. The value of accident and health insurance sector in Japan amounted to approximately **** billion U.S. dollars in 2013 and it was projected to grow to approximately **** billion U.S. dollars in 2025.

The USD/JPY exchange rate rose to 147.3970 on July 11, 2025, up 0.77% from the previous session. Over the past month, the Japanese Yen has weakened 2.73%, but it's up by 6.63% over the last 12 months. Japanese Yen - values, historical data, forecasts and news - updated on July of 2025.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Accident. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Accident. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Accident, the median household income stands at $100,179 for householders within the 25 to 44 years age group, followed by $83,750 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $41,250.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Accident median household income by age. You can refer the same here

Binance founder and CEO Changpeng Zhao (commonly known as CZ) was the crypto billionaire who lost the most money following the crypto crisis of 2022, with a net worth drop amounting to 82 billion U.S. dollars. Zhao was followed by FTX founder and CEO Sam Bankman-Fried, who lost a reported 23 billion dollars in only three weeks prior to his arrest over conspiracy and fraud charges in late 2022.

Despite his losses, Zhao was still the wealthiest individual in the crypto world as of December 2022. The same five crypto chiefs who lost the most money in 2022 ranked as the five richest people in crypto before the market's crash.

Treasure in tatters: FTX founder arrested over fraud
Bankman-Fried was arrested in the Bahamas on December 12, 2022, over wire fraud, securities fraud, money laundering, and conspiracy to defraud the U.S. Once the fourth largest crypto exchange in the world, FTX filed for bankruptcy following a liquidity crisis in November 2022. This happened after it tried to sell a considerable chunk of its operating business to rival Binance, only for the latter to walk away from the deal - stating that it was beyond its ability to help FTX solve its issues.

The U.S. Securities and Exchange Commission (SEC) has accused Bankman-Fried of setting up a scheme to defraud investors amid reports of the former FTX chief diverting customer funds to his Alameda Research hedge fund. Bankman-Fried has denied any wrongdoing, including allegations of him being aware of Alameda Research using FTX customer funds.

Der Markt für Crashtest-Dummys wurde im Jahr 2024 auf 125,5 Millionen US-Dollar geschätzt und soll bis Ende 2037 voraussichtlich 238,1 Millionen US-Dollar erreichen. Im Prognosezeitraum 2025–2037 wird eine jährliche Wachstumsrate (CAGR) von 4,9 % erwartet. Der nordamerikanische Markt für Crashtest-Dummys wird im Jahr 2037 voraussichtlich mit 37,2 % den größten Anteil halten, mit einer CAGR von 2,6 %.

The statistic presents the value of premiums written by accident and health insurance companies in the United Arab Emirates from 2009 to 2013 and a forecast thereof until 2025. The value of accident and health insurance sector in the United Arab Emirates amounted to approximately *** billion U.S. dollars in 2013 and it was projected to grow to approximately **** billion U.S. dollars in 2025.