Peanut Blancher Salary in Monterrey, Mexico

ERI's data indicated that, on average, a Peanut Blancher is MXN 219,233 per year or MXN 105.40 per hour in Monterrey, Mexico, which is 22% higher than the national average. Top earners have reported making up to MXN 260,449. However, the typical pay range in Monterrey, Mexico, is between MXN 161,355 and MXN 260,449 annually.

Peanut Blancher is projected to see 16.7% salary growth in 5 years.

Several factors can impact the salary, including experience, company size, job market, location, industry, and more. Understanding how these factors affect the role can provide opportunities to earn more. Use our salary calculator to find out how much you should be paid based on what someone in your area, with similar experience, earns.

There are several factors that can impact the salary, including experience, company size, job market, location, industry, education, certificates, shift differentials, and more. Understanding how these factors affect the role can help you spot pay gaps and retain top talent. ERI's Assessor Platform brings these factors together in one platform, making it easy to benchmark roles, analyze insights, and set pay with confidence.

ERI Economic Research Institute was founded over 35 years ago to provide trusted compensation data for private and public organizations. ERI has established itself as a gold standard for global salary benchmarking and geographic differentials and has evolved to offer a complete compensation management software solution.

With decades of experience in compensation, ERI offers an extensive and reliable salary survey database powered by the Assessor Platform, a comprehensive compensation management solution that optimizes complex processes for accuracy and efficiency.

HR and compensation professionals in organizations ranging from small companies to the Fortune 500 rely on ERI's Assessor Platform to:

• Effectively plan and manage compensation and benefits
• Streamline workflows using AI-powered solutions, such as AI Job Matching, AI-Generated Job Descriptions, AI Pay Grade Creation, and ERI's cutting-edge AI Job Growth Model
• Benchmark salaries in local labor markets and specific industries
• Develop competitive executive compensation packages
• Compare the cost of living in locations across the globe
• Develop lasting pay structures
• And so much more

ERI's team of PhD-level data scientists and seasoned compensation professionals review and validate our salary data approximately every six weeks, ensuring the accuracy of the data that we publish. Learn more about our methodology.

ERI offers 36 free self-study courses through our Distance Learning Center, helping professionals master technical domains like market pricing and geographic differentials. While course content is complimentary, practitioners can choose to pursue the Compensation Analyst (CAC) or Compensation Committee (CCC) credentials to validate their expertise and earn up to 20 HRCI or SHRM recertification credits. Learn more.