In August 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at seven percent. In comparison, financial activities workers had the lowest unemployment rate, at 1.6 percent. The average for all industries was 4.5 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

In August 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 5.7 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

Key information about Georgia Industrial Production Index Growth

• Georgia Industrial production rose 0.4 % YoY in Jun 2025, following an increase of 0.5 % YoY in the previous quarter.
• Georgia Industrial production index growth rate YoY data is updated quarterly, available from Mar 2002 to Jun 2025, with an average rate of -0.8 %.
• The data reached an all-time high of 48.4 % in Mar 2006 and a record low of -28.8 % in Jun 2009.

CEIC calculates quarterly Industrial Production Index Growth from quarterly Industrial Production Index. The National Statistics Office of Georgia provides Industrial Production Index with base 2019=100. Industrial Production Index Growth prior to Q1 2011 is calculated from Industrial Production Index with base 2001=100.

Warehouse and distribution properties had the highest square footage price in the U.S. industrial real estate sector in the first quarter of 2025. Properties used for warehousing or distribution sold during that period had an average price of *** U.S. dollars per square foot. Conversely, storage properties had the lowest price, at ** U.S. dollars per square foot.

Graph and download economic data for Weighted-Average Effective Loan Rate for All Commercial and Industry Loans, U.S. Branches and Agencies of Foreign Banks (DISCONTINUED) (EEAXFBNQ) from Q2 1997 to Q2 2017 about weighted-average, agency, foreign, average, commercial, loans, banks, depository institutions, industry, rate, and USA.

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

• Frequency: Monthly
• Time Period: Last 50 years from Nov-24
• Sources:
  • Federal Reserve Economic Data (FRED)
  • Yahoo Finance

Dataset Feature Description

1. Interest Rate (Interest_Rate):

   • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.

2. Inflation (Inflation):

   • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.

3. GDP (GDP):

   • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.

4. Unemployment Rate (Unemployment):

   • The percentage of the labor force that is unemployed and actively seeking work.

5. Stock Market Performance (S&P500):

   • Monthly average of the adjusted close price, representing stock market trends.

6. Industrial Production (Ind_Prod):

   • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

1. Total Entries: 599
2. Columns: 6
3. Memory usage: 37.54 kB
4. Data types: float64

Feature Overview

• Columns:
  • Interest_Rate: Monthly Federal Funds Rate (%)
  • Inflation: CPI (All Urban Consumers, Index)
  • GDP: Real GDP (Billions of Chained 2012 Dollars)
  • Unemployment: Unemployment Rate (%)
  • Ind_Prod: Industrial Production Index (2017=100)
  • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

• Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
• Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
• Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
• Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

https://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

• Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
• Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
• Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
• Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
• Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

United States US: GDP: Growth: Gross Value Added: Industry data was reported at 0.122 % in 2016. This records a decrease from the previous number of 1.917 % for 2015. United States US: GDP: Growth: Gross Value Added: Industry data is updated yearly, averaging 2.074 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 5.448 % in 1999 and a record low of -6.184 % in 2009. United States US: GDP: Growth: Gross Value Added: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

US Electricity Prices and Sales by State, Sector, and Year

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2Fdba0dac3571f37e79f2891a6ffd80d5c%2Fus%20electric%20flag.png?generation=1712518711362350&alt=media" alt=""> This comprehensive dataset offers a detailed look at the United States electricity market, providing valuable insights into prices, sales, and revenue across various states, sectors, and years. With data spanning from 2001 onwards to 2024, this dataset is a powerful tool for analyzing the complex dynamics of the US electricity market and understanding how it has evolved over time.

The dataset includes eight key variables: | Column Name | Description | |-------|-------| | year | The year of the observation | | month | The month of the observation | | stateDescription | The name of the state | | sectorName | The sector of the electricity market (residential, commercial, industrial, other, or all sectors) | | customers | The number of customers (missing for some observations) | | price | The average price of electricity per kilowatt-hour (kWh) in cents | | revenue | The total revenue generated from electricity sales in millions of dollars | | sales | The total electricity sales in millions of kilowatt-hours (kWh) |

By providing such granular data, this dataset enables users to conduct in-depth analyses of electricity market trends, comparing prices and consumption patterns across different states and sectors, and examining the impact of seasonality on demand and prices.

One of the primary applications of this dataset is in forecasting future electricity prices and sales based on historical trends. By leveraging the extensive time series data available, researchers and analysts can develop sophisticated models to predict how prices and demand may change in the coming years, taking into account factors such as economic growth, population shifts, and policy changes. This predictive power is invaluable for policymakers, energy companies, and investors looking to make informed decisions in the rapidly evolving electricity market.

Another key use case for this dataset is in investigating the complex relationships between electricity prices, sales volumes, and revenue. By combining the price, sales, and revenue data, users can explore how changes in prices impact consumer behavior and utility company bottom lines. This analysis can shed light on important questions such as the price elasticity of electricity demand, the effectiveness of energy efficiency programs, and the potential impact of new technologies like renewable energy and energy storage on the market.

Beyond its immediate applications in the energy sector, this dataset also has broader implications for understanding the US economy and society as a whole. Electricity is a critical input for businesses and households across the country, and changes in electricity prices and consumption can have far-reaching effects on economic growth, competitiveness, and quality of life. By providing such a rich and detailed portrait of the US electricity market, this dataset opens up new avenues for research and insights that can inform public policy, business strategy, and academic inquiry.

I hope you all enjoy using this dataset and find it useful! 🤗

The statistic shows Georgia's average retail price for electricity between 1998 and 2015, by sector. In 2015, the average retail price for electricity in the residential sector was 11.54 cents per kilowatt hour.

. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


Further information about United States Monthly Earnings

• In the latest reports, US Population reached 341 million people in Dec 2024
• Unemployment Rate of US increased to 4 % in Sep 2025
• The country's Labour Force Participation Rate remained the same rate at 62 % in Sep 2025

Graph and download economic data for Average Hourly Earnings of All Employees, Manufacturing (CES3000000003) from Mar 2006 to Sep 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.

Graph and download economic data for Average Weekly Hours of All Employees, Total Private (AWHAETP) from Mar 2006 to Sep 2025 about establishment survey, hours, private, employment, and USA.

The average purchase price of a property by Indian buyers in the United States increased notably in the period between 2010 and 2024. In 2024, Indian buyers paid on average ******* U.S. dollars for American properties. Although figures decreased in 2025 to ******* U.S. dollars paid on average for American properties, Indian buyers were still one of the top five largest foreign buyers of residential real estate in the U.S., with a total of ****billion U.S. dollars spent that year.

Electricians power the modern economy and digital lifestyle; the industry includes electrical workers who service, sell and install electrical equipment and perform electrical work at a site. While most electrical work is done on new construction, a third of electrician revenue comes from electrical upgrades. Although high interest rates have stifled previously booming residential construction since rate hikes began in 2022, nonresidential and utility electrical work has expanded in recent years. Electricians' revenue has moved upward at a CAGR of 3.7% over the past five years and is expected to total $312.2 billion in 2025, when revenue is set to rise an estimated 2.7% along with overall macroeconomic expansion. Over the past five years, average industry profit has dropped due to rising labor and materials costs that have not been fully passed along. The industry differentiates itself by providing an economically essential service, focusing heavily on unautomatable manual labor and having a high concentration of nonemployers. Electricity is so vital to modern life that the US government suspects that three-fourths of the country's population couldn't survive a year without power. Electrical service is provided by a small army of highly trained, licensed electrician businesses, each serving individual communities. Restrictions and safety regulations unify this otherwise highly disparate industry. Over the next five years, electricians' revenue will likely grow at a slightly slower rate. As inflation has cooled, the Federal Reserve will continue to cut interest rates (having begun to do so in 2024 and continued cuts in 2025), benefiting the housing market. Electricians will also find work in sustained renovation activity and green energy upgrades. Production and manufacturing activity will also rise, providing electricians with another booming market. Electricians' revenue is expected to expand at a CAGR of 2.4% to reach $351.8 billion in 2030.

Industry growth has shifted toward select client segments, primarily driven by rising home prices and persistent affordability barriers. As wealthier homeowners substitute existing properties for larger or similarly sized homes, moving service providers are scaling solutions tailored to these market types. This targeted approach has helped companies expand operations and capture revenue growth, even as the industry has lost demand among lower-income households with high prices and low housing inventory. Many moving companies have responded by raising service prices, which affluent clientele are often willing to pay, supporting profit amid a more limited consumer base. Providers have pursued alternate growth avenues, notably in the college market, where students moving to off-campus apartments are becoming the norm. In response, businesses focus on smaller, flexible moving solutions for studio apartments, partnering with schools to secure recurring demand. Flex workspaces have prompted further adaptation, leading companies to develop scheduling models for coworking arrangements and temporary tenancies. Concerns about service quality have intensified, prompting a renewed focus on safety and protection of goods. While selective relocations have contributed to revenue gains, profit growth has remained regulated since 2020, reflecting the effects of segmented consumer bases. The industry revenue went up by a CAGR of 2.8% over the five years to 2025, with revenue reaching $23.4 billion and a 0.6% increase in 2025. The industry is poised to contend with a changing market landscape. Small and midsize business relocations require expanded operational capacity and services that accommodate specialized or heavier goods. Partnerships for senior relocations and targeting new teacher housing developments are expected to provide reliable growth channels in distinct regions. Military sector contract reforms suggest a more competitive environment, opening doors for smaller and regional movers to compete. Industry revenue is projected to grow at a CAGR of 1.5% over the five years to 2030, reaching $25.3 billion, as companies adapt and diversify offerings to capture selective demand across premium residential, college and business segments, while maintaining close attention to quality and service excellence.

The average purchase price of a property by Chinese buyers in the United States increased by more than 100 percent between 2010 and 2025. In 2025, Chinese buyers paid, on average, over *** million U.S. dollars for American properties. With a total of **** billion U.S. dollars, China was the largest foreign buyer of residential real estate in the U.S.

In 2024, the education and health services industry employed the largest number of people in the United States. That year, about 37 million people were employed in the education and health services industry. Education and Health Services Industry Despite being one of the wealthiest nations in the world, the United States has started to fall behind in both education and the health care industry. Although the U.S. spends the most money in both these industries, they do not see their desired results in comparison to other nations. Furthermore, in the education services industry, there was a relatively significant wage gap between men and women. In 2019, men earned about 1,070 U.S. dollars per week on average, while their female counterparts only earned 773 U.S. dollars per week. Employment in the U.S. The 2008 financial crisis was a large-scale event that impacted the entire world, especially the United States. The economy started to improve after 2010, and the number of people employed in the United States has been steadily increasing since then. However, the number of people employed in the education sector is expected to slowly decrease until 2026. The overall unemployment rate in the United States has decreased since 2010 as well.

In 2024, the retail price of electricity for residential customers in the United States averaged 16.48 U.S. cents per kilowatt-hour. Households are charged more than the commercial and industrial sectors, because of the higher distribution costs. Since 2020, electricity customers have seen electricity prices increase in the U.S. and peak in 2024. The U.S. electricity market The U.S. electricity market is led by several types of electricity providers, such as cooperatives, municipal systems, and shareholder-owned electric utilities. In 2022, cooperatives were the most common type of ownership in the U.S., with more than 600 providers. That year, the U.S. electric utility industry revenue amounted to 488 billion U.S. dollars. Electricity prices around the world Electricity prices vary widely from country to country, depending on energy sources used, as well as government and industry subsidies and regulations. In 2023, Ireland and the United Kingdom had some of the highest household electricity prices worldwide. Meanwhile, U.S. households paid some of the lowest prices. However, leading oil and gas-producing regions such as the Middle East registered the cheapest rates overall.

The average purchase price of a property by Mexican buyers in the United States fluctuated significantly between 2010 and 2025. In 2025, Mexican buyers paid ******* U.S. dollars on average for American properties. With a total of ****billion U.S. dollars, Mexico was one of the five largest foreign buyers of residential real estate in the U.S.

Industrial consumers of electricity in the United States paid an average of 8.15 U.S. dollar cents per kilowatt-hour in 2024. This was an increase compared to the previous year, when prices peaked at 8.3 U.S. dollar cents per kilowatt-hour. Prices are forecast to increase further to 8.32 U.S. dollar cents per kilowatt-hour by the end of 2025.