The geography code is a numerical identifier of a geographic area.
geography_name
The geography name is the label associated with the geography code.
job_demand
The number of unique job postings in the area. The data is updated monthly and reflects a trailing 6 month period.
job_category
Job categories organize O*NET occupations into 47 functional groups. Occupations may be placed in one job category or in two, with one category being labeled primary. Job categories are defined by AdeptID.
broad_job_category
Broad job category organizes the 47 job categories into 13 broad categories.
living_wage
Living wages are a geographically-specific calculation of the hourly wages required for a family to cover minimum costs of living including food, childcare, housing, transportation, etc. These data are sourced from MIT's Living Wage Calculator.
match_score
Match score represents the strength of fit between a candidate and a job. It is on a scale from 0 to 1 with high scores representing a stronger fit.
match_score_category
Match score category describes a given match score, placing it into one of the following bins: Very High, High, Low, or Very Low.
occupation_code
Within a taxonomy, occupations are identified by codes. Our default taxonomy is the US Government's O*NET taxonomy, and the codes are linked here O*NET 2019 codes.
occupation_common_name
A less formal version of the occupation name.
occupation_count
The number of occupations returned by a call.
occupation_description
The occupation description sourced from O*NET.
occupation_match_confidence
The confidence level of our assignment of a job title to a standardized occupation code. It is presented on a scale from 0 to 1 where 1 represents the strongest confidence.
occupation_name
The O*NET title of the occupation.
occupation_taxonomy
Occupations are classified by codes within a taxonomy. If you don't specify a taxonomy, our default is onet_2019. You can use Supported Occupation Taxonomies to see which taxonomies are available.
related_job_titles
A list of job titles related to the occupation, sourced from O*NET.
result_set_id
The unique ID that is associated with the result set.
result_set_link
The URL slug can be called using our Result Sets endpoint to access the results.
skill_name
The name of the skill.
skill_score
Skill score is a measure of proficiency for candidates and a measure of skill of importance for a job, ranging from 0 to 5.
skill_score_category
Skill score category describes a given skill score, placing it into one of the following bins: Large Skill Overlap, Medium Skill Overlap, and Small Skill Overlap.
skills_gap
The magnitude of the likely skill gap between a candidate and a job or between two jobs ranging from 0 to 5 where 5 represents the largest gap.
skill_gap_value
The magnitude of the likely skill gap between a candidate and a job ranging from 0 to 5 where 5 represents the largest gap.
skill_gap_category
The category that the skill score falls within where the categories are Large Skill Gap, Medium Skill Gap, and Small Skill Gap.
skills_transferable
Transferrable skills identifies skills that overlap between the candidate and a job or between two jobs.
skill_transferable_value
The magnitude overlap for an individual skill between a candidate and a job or between two jobs, ranging from 0 to 5 where 5 represents the highest degree of overlap.
skill_overlap_category
The category that the skill score falls within where the categories are Large Skill Overlap, Medium Skill Overlap, and Small Skill Overlap.
wage_10th_percentile
The 10th percentile of wages for workers in a given occupation. The is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually.
wage_25th_percentile
The 25th percentile of wages for workers in a given occupation. The is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually.
wage_75th_percentile
The 75th percentile of wages for workers in a given occupation. The is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually.
wage_90th_percentile
The 90th percentile of wages for workers in a given occupation. The is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually.
wage_mean
The mean wage for workers in a given occupation. The data is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually.
wage_median
The median wage for workers in a given occupation. The data is from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and is updated annually. Note that the median is the same as the 50th percentile.
wage_median_destination
The median wage for workers in the destination occupation in a Career Transitions API call. Wage data is sourced from the Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS) and are updated annually.
wage_median_percent_change
The percentage difference of the median wages of the source and destination occupations. The wage data is sourced from Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS).
wage_median_source
The median wage of the source occupation in a Career Transitions API call. Wage data is sourced from Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS).
wage_median_value_change
The dollar value difference of the median wages of the source and destination occupations. The wage data is sourced from Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS).
worker_supply
The number of employed workers in a given occupation. The data is sourced from the area from Occupational Employment and Wage Statistics (OEWS) from the Bureau of Labor Statistics (BLS).
