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Crime Statistics Jobs in Colorado (NOW HIRING)

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Crime Statistics information

See Colorado salary details

$42.6K

$88K

$123K

How much do crime statistics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for crime statistics in Colorado is $87,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $122,000.00 per year, depending on experience, location, and employer.

What are crime statistics?

Crime statistics are data collected and analyzed to track the occurrence, frequency, and types of crimes committed within a specific area over a certain period of time. These statistics are typically compiled by law enforcement agencies and government organizations to help understand crime trends, allocate resources, and develop crime prevention strategies. They can include information on various categories of crime, such as violent crimes, property crimes, and drug offenses. Accurate crime statistics are essential for informed policy-making and public safety planning.

What are some common challenges faced by professionals working with crime statistics data?

Professionals who work with crime statistics often face challenges such as ensuring data accuracy, dealing with incomplete or inconsistent records, and managing sensitive or confidential information. They must also be skilled at translating complex datasets into clear, actionable insights for law enforcement agencies, policymakers, and the public. Collaboration with other departments, such as IT, field officers, and analysts, is crucial to validate findings and support decision-making processes. Staying up to date with changing legal and reporting standards is also a vital aspect of the role.

What are the key skills and qualifications needed to thrive as a crime statistician, and why are they important?

To thrive as a Crime Statistician, you need a solid background in statistics, data analysis, and criminology, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SPSS, R, or SAS and familiarity with crime databases are commonly required. Strong analytical thinking, attention to detail, and clear communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills are crucial for producing accurate crime reports that inform policy decisions and public safety strategies.

What is the difference between Crime Statistics vs Crime Analysts?

AspectCrime StatisticsCrime Analysts
Required CredentialsTypically data reporting or criminal justice degreesCriminal justice, criminology, or data analysis certifications
Work EnvironmentGovernment agencies, law enforcement officesLaw enforcement agencies, research institutions
Employer & Industry UsageUsed for public reports, policy makingUsed for crime pattern analysis, investigations

Crime Statistics focus on collecting and presenting crime data, while Crime Analysts interpret this data to identify trends and support investigations. Both roles are essential in law enforcement but serve different functions within the criminal justice system.

How to become a crime statistics analyst?

To become a crime statistics analyst, typically a bachelor's degree in criminal justice, criminology, statistics, or a related field is required. Developing skills in data analysis, using tools like Excel, SPSS, or R, and gaining experience with crime data sets can improve job prospects; some roles may also require knowledge of law enforcement procedures or geographic information systems (GIS).

Is crime analysis a good career?

Crime analysis is a valuable career that involves examining crime data to identify patterns and support law enforcement strategies. It typically requires skills in data analysis, GIS tools, and report writing, with opportunities for advancement in public safety agencies. The field offers stable employment and the chance to contribute to community safety efforts.

What are popular job titles related to Crime Statistics jobs in Colorado?

For Crime Statistics jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Crime Statistics job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $87,966 per year, or $42.3 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Denver, CO • On-site

$125K/yr

Full-time

Posted 6 days ago


Internal Revenue Service rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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