The salary of an Economics Analyst I in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of April 01, 2025, the average annual salary for an Economics Analyst I in the United States is $91,863. According to Salary.com, salaries can range from a low of $71,515 to a high of $108,534, with most professionals earning between $81,212 and $100,589.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $100,589 | $8,382 | $1,934 | $48 |
| Average | $91,863 | $7,655 | $1,767 | $44 |
| 25th Percentile | $81,212 | $6,768 | $1,562 | $39 |
An entry-level Economics Analyst I with less than 1 year of experience earns about $90,273. With 1-2 years of experience, the average salary increases to $90,750. For 2-4 years of experience, the pay typically rises to $92,514. Senior-level professionals with 5-8 years of experience earn around $94,468, and those with over 8 years of experience can expect an average of $94,728.
| Levels | Salary |
|---|---|
| Entry Level Economics Analyst I | $90,273 |
| Intermediate Level Economics Analyst I | $90,750 |
| Senior Level Economics Analyst I | $92,514 |
| Specialist Level Economics Analyst I | $94,468 |
| Expert Level Economics Analyst I | $94,728 |
| Entry Level | 2% |
| Mid Level | 1% |
| Senior Level | 1% |
| Top Level | 3% |
| Experienced | 3% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of April 01, 2025, our research reveals a significant shift in Economics Analyst I compensation over the past six years. For example, the median salary increased from $81,834 in 2023 to approximately $81,878 in 2024. (For a detailed analysis of Economics Analyst I salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Economics Analyst I information for you to search for. Click on search button below to see Economics Analyst I job openings or enter a new job title here.
Here are companies hiring for Economics Analyst I and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $91,863 | 71.1% | ||
| Bonus | $0 | 0.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $7,028 | 5.4% | ||
| 401K/403B | $3,858 | 3.0% | ||
| Disability | $1,837 | 1.4% | ||
| Healthcare | $8,352 | 6.5% | ||
| Pension | $4,961 | 3.8% | ||
| Time Off | $11,306 | 8.8% | ||
| Total Compensation | $129,205 | 100% | ||
The average annual salary of Economics Analyst I is $91,863. In case you are finding an easy salary calculator, the average hourly pay of Economics Analyst I is $44; the average weekly pay of Economics Analyst I is $1,767; the average monthly pay of Economics Analyst I is $7,655.
An Economics Analyst I's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, an Economics Analyst I earns the most in San Jose, CA, where the annual salary of an Economics Analyst I is $115,867.
The highest pay for Economics Analyst I is $108,534.
The lowest pay for Economics Analyst I is $71,515.
Conducts research and analysis on economic data/trends and produces forecasts, interpretive reporting, and media used for risk assessment, communication, and decision making. Collects economic data from established datasets and other sources utilizing data collection and data science protocols. Utilizes statistical analysis, mathematical methodologies, and modeling techniques to develop data. Designs and organizes data into unique report models and graphical illustrations to present economic information used for decision making and solution development. Requires a bachelor's degree in economics or equivalent. Typically reports to a manager or head of a unit/department. Occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. Typically requires 2-4 years of related experience.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Forecasting: Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible. In some cases the data used to predict the variable of interest is itself forecasted.
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
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