Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Exports in the United States decreased to 279 USD Billion in May from 290.57 USD Billion in April of 2025. This dataset provides the latest reported value for - United States Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for All Employees: Retail Trade in Idaho Falls, ID (MSA) (SMU16268204200000001SA) from Jan 1990 to Jun 2025 about Idaho Falls, ID, retail trade, sales, retail, employment, and USA.

Graph and download economic data for All Employees: Retail Trade in Glens Falls, NY (MSA) (SMU36240204200000001A) from 1990 to 2024 about Glens Falls, retail trade, NY, sales, retail, employment, and USA.

Taxes on international trade (% of revenue) in United States was reported at 1.6737 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Taxes on international trade (% of revenue) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in The US Revenue Implications of President Trump’s 2025 Tariffs, PIIE Briefing 25-2.

If you use the data, please cite as:

McKibbin, Warwick, and Geoffrey Shuetrim. 2025. The US Revenue Implications of President Trump’s 2025 Tariffs. PIIE Briefing 25-2. Washington: Peterson Institute for International Economics.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Trade Lake town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 1(0.29%) households where the householder is under 25 years old, 61(17.63%) households with a householder aged between 25 and 44 years, 168(48.55%) households with a householder aged between 45 and 64 years, and 116(33.53%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of Trade Lake town, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Trade Lake town median household income by age. You can refer the same here

Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Trade Lake, Wisconsin, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Trade Lake, Wisconsin reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Trade Lake town households based on income levels.

Key observations

• For Family Households: In Trade Lake town, the majority of family households, representing 16.89%, earn $150,000 to $199,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $10,000 to $14,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Trade Lake town, the majority of non-family households, accounting for 18.18%, have income $40,000 to $44,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $10,000 to $14,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Trade Lake, Wisconsin (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Trade Lake, Wisconsin
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Trade Lake, Wisconsin
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Trade Lake, Wisconsin

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 Trade Lake town median household income. You can refer the same here

United States US: Trade Balance: Emerging and Developing Economies: Export Earnings: Fuel data was reported at -2.605 USD bn in May 2018. This records an increase from the previous number of -3.553 USD bn for Apr 2018. United States US: Trade Balance: Emerging and Developing Economies: Export Earnings: Fuel data is updated monthly, averaging -1.201 USD bn from Feb 1960 (Median) to May 2018, with 698 observations. The data reached an all-time high of 2.488 USD bn in Feb 2016 and a record low of -30.029 USD bn in Jul 2008. United States US: Trade Balance: Emerging and Developing Economies: Export Earnings: Fuel data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.DOT: Trade Balance: by Country: Monthly.

United States US: Central Government: Revenue: Taxes: Trade data was reported at 11.159 USD bn in Jun 2018. This records an increase from the previous number of 10.316 USD bn for Mar 2018. United States US: Central Government: Revenue: Taxes: Trade data is updated quarterly, averaging 7.346 USD bn from Mar 2001 (Median) to Jun 2018, with 70 observations. The data reached an all-time high of 11.159 USD bn in Jun 2018 and a record low of 4.714 USD bn in Mar 2002. United States US: Central Government: Revenue: Taxes: Trade data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: Government Finance: Operations Statement: Quarterly.

Forecast: Retail Trade E-commerce Sales in the US 2023 - 2027 Discover more data with ReportLinker!

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 Trade Lake town. 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 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Trade Lake town, the median income for all workers aged 15 years and older, regardless of work hours, was $43,810 for males and $32,222 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in Trade Lake town. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Trade Lake town.

- Full-time workers, aged 15 years and older: In Trade Lake town, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,438, while females earned $53,333, resulting in a 9% gender pay gap among full-time workers. This illustrates that women earn 91 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Trade Lake town.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Trade Lake town.

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.

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 2023
• 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 Trade Lake town median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Trade Lake, Wisconsin, 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 28,879, while the mean income for the highest quintile (20% of households with the highest income) is 361,375. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 890,701, which is 246.48% higher compared to the highest quintile, and 3084.25% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 2023 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 Trade Lake town median household income. You can refer the same here

United States Retail Sales (RS): Annual Retail Trade Survey (ARTS) data was reported at 5,269.468 USD bn in 2018. This records an increase from the previous number of 5,053.151 USD bn for 2017. United States Retail Sales (RS): Annual Retail Trade Survey (ARTS) data is updated yearly, averaging 3,612.471 USD bn from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 5,269.468 USD bn in 2018 and a record low of 1,811.237 USD bn in 1992. United States Retail Sales (RS): Annual Retail Trade Survey (ARTS) data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H003: Retail Sales: Annual Retail Trade Survey: NAICS.

Sales: Wholesale trade: Total wholesale trade: Value for the United States was 678144000000.00000 US $ in September of 2023, according to the United States Federal Reserve. Historically, Sales: Wholesale trade: Total wholesale trade: Value for the United States reached a record high of 689421000000.00000 in June of 2022 and a record low of 11469000000.00000 in August of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for Sales: Wholesale trade: Total wholesale trade: Value for the United States - last updated from the United States Federal Reserve on July of 2025.

United States RS: ARTS: Taxes: NR: Vending Machine Operators data was reported at 182.000 USD mn in 2017. This records a decrease from the previous number of 187.000 USD mn for 2016. United States RS: ARTS: Taxes: NR: Vending Machine Operators data is updated yearly, averaging 220.000 USD mn from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 289.000 USD mn in 2004 and a record low of 182.000 USD mn in 2017. United States RS: ARTS: Taxes: NR: Vending Machine Operators data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H003: Retail Sales: Annual Retail Trade Survey: NAICS.

United States RS: ARTS: per Capita Spending: Clothing & Accessories Stores data was reported at 821.000 USD in 2018. This records an increase from the previous number of 802.000 USD for 2017. United States RS: ARTS: per Capita Spending: Clothing & Accessories Stores data is updated yearly, averaging 714.000 USD from Dec 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 821.000 USD in 2018 and a record low of 587.000 USD in 2001. United States RS: ARTS: per Capita Spending: Clothing & Accessories Stores data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H003: Retail Sales: Annual Retail Trade Survey: NAICS.

Existing Home Sales in the United States decreased to 3930 Thousand in June from 4040 Thousand in May of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States RS: ARTS: FH: HF: Other Stores data was reported at 32.374 USD bn in 2018. This records an increase from the previous number of 31.911 USD bn for 2017. United States RS: ARTS: FH: HF: Other Stores data is updated yearly, averaging 25.170 USD bn from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 32.374 USD bn in 2018 and a record low of 10.187 USD bn in 1992. United States RS: ARTS: FH: HF: Other Stores data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H003: Retail Sales: Annual Retail Trade Survey: NAICS.