The euro-to-dollar exchange rate fluctuated significantly in 2022, reaching its lowest recorded value since 2008 during that time. Figures were different later in the year, however, with a rate of 1.17 USD recorded at the end of June 27, 2025. The average (standardized) measure is based on the calculation of many observations throughout the period in question. It is therefore different from an annual measure at a point, which reflects concrete values as of end of the year. Establishment The euro, which was established in 1992, introduced in non-physical form in 1999 and finally rolled out in 2002, is used by 19 of the 27 member states of the European Union. This group of 19 countries is otherwise known as the eurozone or euro area. By 2018, the total value of euro currency in circulation was almost 1.2 trillion euros, or over 3.4 thousand euros per capita. Euro to USD Between 2001 and 2008, the average annual exchange rate of the euro to the U.S. dollar noted a steep increase. In 2008, the euro to U.S. dollar annual average exchange rate was equal to 1.47, which meant that one euro could buy 1.47 U.S. dollars. By 2019, this value had decreased overall, to a value of 1.12 which meant that one euro could buy 1.12 U.S. dollars. Similar dynamics in the euro to U.S. dollar exchange rate were also reflected in the monthly exchange rate recently.

Interactive historical chart showing the daily U.S. Dollar - Japanese Yen (USDJPY) exchange rate back to 1971.

The price of lumber has seen both an overall increase, and large amounts of volatility since 2019. From its low in early April 2020 to its peak in May 2021, the price per 1,000 board feet of lumber increased almost sevenfold, reaching ***** U.S. dollars. Yet, after reaching this peak the price then fell to below *** U.S. dollars per 1,000 board feet in August 2021 before rising again to reach over 1,000 U.S. dollars in the beginning of 2022. Since then, the price per 1,000 board feet of lumber decreased overall, reaching *** U.S. dollars as of January 29, 2025.

About this dataset

Context

The dataset illustrates the median household income in Lowell, 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 Lowell increased by $1,000 (1.97%), 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 7 years and declined for 6 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 Lowell median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Cherry Ridge township, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 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 2021, the median household income for Cherry Ridge township decreased by $1,000 (1.50%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 4 years and declined for 7 years.

https://i.neilsberg.com/ch/cherry-ridge-township-pa-median-household-income-trend.jpeg" alt="Cherry Ridge Township, Pennsylvania median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

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.

Years for which data is available:

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

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 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 Cherry Ridge township median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Darlington, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 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 2021, the median household income for Darlington increased by $1,000 (3.01%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 6 years.

https://i.neilsberg.com/ch/darlington-sc-median-household-income-trend.jpeg" alt="Darlington, SC median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

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.

Years for which data is available:

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

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 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 Darlington median household income. You can refer the same here

The price of lumber in the United States fluctuated widely over the last five years, from a low of 240 dollars per 1,000 board feet in January 2016 to a peak of over 1,500 dollars in April 2021. This overall increase has not been linear though, with, for example, lumber prices falling by around 50 percent between June and September 2018, and again between August and October 2020. The value fell again by around 75 percent between May and August 2021. As of the end of December 2024, the price of lumber stood at 550.5 U.S. dollars per thousand board feet. Which nations are at the forefront of lumber production? The production of lumber is dependent on the availability of forest resources, market demand, and technological advances. Sustainable forest management practices a continuous supply of timber, while economic factors and construction activity drive demand. Among the countries countries with the largest production of lumber were China and the United States. Other countries with a relatively high lumber production rate were Russia, China, and Brazil.

Key information about Kenya Exchange Rate against USD

• Kenya Exchange Rate against USD averaged 137.240 (USD/KES) in May 2023, compared with 134.395 USD/KES in the previous month.
• Kenya Exchange Rate against USD data is updated monthly, available from Jan 1957 to May 2023.
• The data reached an all-time high of 137.240 in May 2023 and a record low of 6.900 in Dec 1973.

CEIC extends history for monthly average Exchange Rate against USD. Central Bank of Kenya provides average Exchange Rate against USD. Exchange Rate against USD prior to January 2000 is sourced from the International Monetary Fund.


Key information about Kenya Exchange Rate against USD

• In the latest reports, Kenya Short Term Interest Rate: Monthly Average: Treasury Bills Rate: 91 Days was reported at 9.760 % pa in Mar 2023.
• Its Long Term Interest Rate (Treasury Bonds Rate: 10 Years) was reported at 13.490 % pa in May 2022.
• The cash rate (Policy Rate: Month End: Central Bank Rediscount Rate) was set at 9.500 % pa in May 2023.

The US dollar index of February 2025 was higher than it was in 2024, although below the peak in late 2022. This reveals itself in a historical graphic on the past 50 years, measuring the relative strength of the U.S. dollar. This metric is different from other FX graphics that compare the U.S. dollar against other currencies. The history of the DXY Index The index shown here – often referred to with the code DXY, or USDX – measures the value of the U.S. dollar compared to a basket of six other foreign currencies. This basket includes the euro, the Swiss franc, the Japanese yen, the Canadian dollar, the British pound, and the Swedish króna. The index was created in 1973, after the arrival of the petrodollar and the dissolution of the Bretton Woods Agreement. Today, most of these currencies remain connected to the United States' largest trade partners. The relevance of the DXY Index The index focuses on trade and the strength of the U.S. dollar against specific currencies. It less on inflation or devaluation, which is measured in alternative metrics like the Big Mac Index. Indeed, as the methodology behind the DXY Index has only been updated once – when the euro arrived in 1999 – some argue this composition is not accurate to the current state of the world. The price development of the U.S. dollar affects many things, including commodity prices in general.

Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Jefferson County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2012 and 2022, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Jefferson County, the median household income for the households where the householder is White decreased by $5,496(8.91%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $61,678 in 2012 and $56,182 in 2022.
• Black or African American: In Jefferson County, the median household income for the households where the householder is Black or African American increased by $1,000(2.94%), between 2012 and 2022. The median household income, in 2022 inflation-adjusted dollars, was $34,000 in 2012 and $35,000 in 2022.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/jefferson-county-ar-median-household-income-by-race-trends.jpeg" alt="Jefferson County, AR median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 Jefferson County.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-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 Jefferson County median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in German town. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in German town. 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 2021

In terms of income distribution across age cohorts, in German town, where there exist only two delineated age groups, the median household income is $83,095 for householders within the 25 to 44 years age group, compared to $54,270 for the 45 to 64 years age group.

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.

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 2022 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 German town median household income by age. You can refer the same here

Interactive historical chart showing the daily Euro - U.S. Dollar (EURUSD) exchange rate back to 1999.

In 2022, one U.S. dollar could buy 19.16 Egyptian pounds. The official exchange rate generally increased in the observed period, with the Egyptian currency losing value gradually. Between 2016 and 2017, the currency faced a severe devaluation settling at 17.78 Egyptian pounds per dollar.

Wholesale trade, financial statistics which include: sales of goods (dollars x 1,000) and cost of goods sold (dollars x 1,000), by wholesale commodities classified under the North American Product Classification System (NAPCS) Canada 2022, annual, Canada.

The USD/EGP exchange rate fell to 49.4300 on July 15, 2025, down 0.06% from the previous session. Over the past month, the Egyptian Pound has strengthened 1.65%, but it's down by 3.00% over the last 12 months. Egyptian Pound - values, historical data, forecasts and news - updated on July of 2025.

The average inflation rate in the Nigeria was forecast to continuously decrease between 2023 and 2028 by in total 6.1 percentage points. The average inflation rate is estimated to amount to 14 percent in 2028.Following the definitions provided by the International Monetary Fund, this indicator measures inflation based upon the year on year change in the average consumer price index. The latter expresses a country's average level of prices based on a typical basket of consumer goods and services. Depicted here is the year-on-year change in said index measure, expressed in percent.Find more key insights for the average inflation rate in countries like Senegal, Mali and Cote D'Ivoire.

Urban versus rural inflation disparity Comparing rural to urban areas in Nigeria showed that inflation was slightly worse in urban areas, with a difference of close to one percent in 2022. Other economic indicators reveal that inflation had a severe impact on the prices of consumer goods. Moreover, the Consumer Index Price of food in Nigeria in 2022 was 590.2. The food products with the highest percentage change in price was beans with 40 percent and over, depending on the color. That was followed by beef articles with 34 to close to 37 percent, depending on the part.

Fuel price surges: a closer look at diesel price fluctuations in Nigeria Another area that saw a dramatic spike in prices was fuel prices. In February 2023, there was a 0.98 percent rise in the cost of diesel in Nigeria when compared to January 2023. The most substantial surge occurred in March 2022. During that month, the average price of diesel surged by nearly 73 percent in contrast to the preceding month. This sharp escalation was attributed to a worldwide deficit in fuel supply and difficulties in the supply chain, which was prompted by the conflict in Ukraine and regulations implemented to control the transmission of COVID-19. Furthermore, consumers in Nigeria faced an average diesel price of 836.91 Nigerian naira (NGN), approximately 1.82 U.S. dollars, per liter. The North-Central States of Nigeria displayed the most elevated prices, with consumers in this region paying an average of 850.65 NGN per liter, roughly 1.85 U.S. dollars. During this specific timeframe, Osun emerged as the State with the highest price across Nigeria, as diesel prices reached a pinnacle of 707 NGN (equivalent to 1.7 U.S. dollars).

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 Clara township. 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 Clara township, the median income for all workers aged 15 years and older, regardless of work hours, was $33,779 for males and $17,903 for females.

These income figures highlight a substantial gender-based income gap in Clara township. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the township of Clara township.

- Full-time workers, aged 15 years and older: In Clara township, among full-time, year-round workers aged 15 years and older, males earned a median income of $82,420, while females earned $33,779, leading to a 59% gender pay gap among full-time workers. This illustrates that women earn 41 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment 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 Clara township, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/clara-township-pa-income-by-gender.jpeg" alt="Clara Township, Pennsylvania 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 Clara township median household income by gender. You can refer the same here

Interactive historical chart showing the daily Australian Dollar - U.S. Dollar (AUDUSD) exchange rate back to 1991.

In the first quarter of 2024, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States follows closely behind China as the country with the most billionaires in the world. Elon Musk alone held around 219 billion U.S. dollars in 2022. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.