{"role":{"brand":"manufacturing","slug":"mold-die-design-engineer","niche_title":"Mold / Die Design Engineer","soc":"17-2112","match_type":"broader","mapping_note":"BLS measures this broader occupation across industries. It does not publish a separate wage for this manufacturing title.","family":3,"service_path":"/roles/mold-die-design-engineer/","soc_title":"Industrial Engineers"},"release":{"id":"2025-05","reference_period":"2025-05","reference":"May 2025","release_date":"2026-05-15","loaded_at":"2026-10-10T09:59:21.553872+00:00","source_urls":["https://www.bls.gov/oes/tables.htm","https://www.bls.gov/oes/special-requests/oesm25all.zip"],"archive_sha256":"86ffcbbeb27a96b7aa84d01801de71ee94ee9027452152caabebfdec9d764fde","thresholds":{"hourly":115,"annual":239200},"notes":"May 2025 OEWS Estimates\nOccupational Employment and Wage Statistics (OEWS) Survey\nBureau of Labor Statistics, Department of Labor\nwebsite:  www.bls.gov/oes \nemail: oewsinfo@bls.gov\nNot all fields are available for every type of estimate\nField\nField Description\narea\nU.S. (99), state FIPS code, Metropolitan Statistical Area (MSA) code, or OEWS-specific nonmetropolitan area code \narea_title\nArea name \narea_type\nArea type: 1= U.S.; 2= State; 3= U.S. Territory; 4= Metropolitan Statistical Area (MSA); 6= Nonmetropolitan Area \nprim_state\nThe primary state for the given area. \"US\" is used for the national estimates. \nnaics\nNorth American Industry Classification System (NAICS) code for the given industry \nnaics_title\nNorth American Industry Classification System (NAICS) title for the given industry \ni_group\nIndustry level. Indicates cross-industry or NAICS sector, 3-digit, 4-digit, 5-digit, or 6-digit industry. For industries that OEWS no longer publishes at the 4-digit NAICS level, the “4-digit” designation indicates the most detailed industry breakdown available: either a standard NAICS 3-digit industry or an OEWS-specific combination of 4-digit industries. Industries that OEWS has aggregated to the 3-digit NAICS level (for example, NAICS 327000) will appear twice, once with the “3-digit” and once with the “4-digit” designation. \nown_code\nOwnership type: 1= Federal Government; 2= State Government; 3= Local Government; 123= Federal, State, and Local Government; 235=Private, State, and Local Government; 35 = Private and Local Government; 5= Private; 57=Private, Local Government Gambling Establishments (Sector 71), and Local Government Casino Hotels (Sector 72); 58= Private plus State and Local Government Hospitals; 59= Private and Postal Service; 1235= Federal, State, and Local Government and Private Sector \nocc_code\nThe 6-digit Standard Occupational Classification (SOC) code or OEWS-specific code for the occupation \nocc_title\nSOC title or OEWS-specific title for the occupation\no_group\nSOC occupation level. For most occupations, this field indicates the standard SOC major, minor, broad, and detailed levels, in addition to all-occupations totals. For occupations that OEWS no longer publishes at the SOC detailed level, the “detailed” designation indicates the most detailed data available: either a standard SOC broad occupation or an OEWS-specific combination of detailed occupations. Occupations that OEWS has aggregated to the SOC broad occupation level will appear in the file twice, once with the “broad” and once with the “detailed” designation.\n.\ntot_emp\nEstimated total employment rounded to the nearest 10 (excludes self-employed).\nemp_prse\nPercent relative standard error (PRSE) for the employment estimate. PRSE is a measure of model error, expressed as a percentage of the corresponding estimate. Model error arises when inferences about a population are made from a survey of selected members of that population, instead of data from all members of the population. Estimates with lower PRSEs are typically more precise in the presence of model error.\njobs_1000\nThe number of jobs (employment) in the given occupation per 1,000 jobs in the given area. Only available for the state and MSA estimates; otherwise, this column is blank. \n.\nloc quotient\nThe location quotient represents the ratio of an occupation’s share of employment in a given area to that occupation’s share of employment in the U.S. as a whole. For example, an occupation that makes up 10 percent of employment in a specific metropolitan area compared with 2 percent of U.S. employment would have a location quotient of 5 for the area in question. Only available for the state, metropolitan area, and nonmetropolitan area estimates; otherwise, this column is blank.\npct_total\nPercent of industry employment in the given occupation. Percents may not sum to 100 because the totals may include data for occupations that could not be published separately. Only available for the national industry estimates; otherwise, this column is blank. \n.\npct_rpt\nPercent of establishments reporting the given occupation for the cell. Only available for the national industry estimates; otherwise, this column is blank. \nh_mean\nMean hourly wage\na_mean\nMean annual wage \nmean_prse\nPercent relative standard error (PRSE) for the mean wage estimate. PRSE is a measure of model error, expressed as a percentage of the corresponding estimate. Model error arises when inferences about a population are made from a survey of selected members of that population, instead of data from all members of the population. Estimates with lower PRSEs are typically more precise in the presence of model error.\nh_pct10\nHourly 10th percentile wage\nh_pct25\nHourly 25th percentile wage\nh_median\nHourly median wage (or the 50th percentile)\nh_pct75\nHourly 75th percentile wage\nh_pct90\nHourly 90th percentile wage\na_pct10\nAnnual 10th percentile wage\na_pct25\nAnnual 25th percentile wage\na_median\nAnnual median wage (or the 50th percentile)\na_pct75\nAnnual 75th percentile wage\na_pct90\nAnnual 90th percentile wage\nannual \nContains \"TRUE\" if only annual wages are released. The OEWS program releases only annual wages for some occupations that typically work fewer than 2,080 hours per year, but are paid on an annual basis, such as teachers, pilots, and athletes.\n.\nhourly \nContains \"TRUE\" if only hourly wages are released. The OEWS program releases only hourly wages for some occupations that typically work fewer than 2,080 hours per year and are paid on an hourly basis, such as actors, dancers, and musicians and singers.\n.\nNotes:\n*  = indicates that a wage estimate is not available\n**  = indicates that an employment estimate is not available\n#  = indicates a wage equal to or greater than $115.00 per hour or $239,200 per year \n~ =indicates that the percent of establishments reporting the occupation is less than 0.5%"},"areas":[{"code":"99","title":"U.S.","type":"1","state":"US"},{"code":"01","title":"Alabama","type":"2","state":"AL"},{"code":"02","title":"Alaska","type":"2","state":"AK"},{"code":"04","title":"Arizona","type":"2","state":"AZ"},{"code":"05","title":"Arkansas","type":"2","state":"AR"},{"code":"06","title":"California","type":"2","state":"CA"},{"code":"08","title":"Colorado","type":"2","state":"CO"},{"code":"09","title":"Connecticut","type":"2","state":"CT"},{"code":"10","title":"Delaware","type":"2","state":"DE"},{"code":"11","title":"District of 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GA","type":"4","state":"GA"},{"code":"10540","title":"Albany, OR","type":"4","state":"OR"},{"code":"10580","title":"Albany-Schenectady-Troy, NY","type":"4","state":"NY"},{"code":"10740","title":"Albuquerque, NM","type":"4","state":"NM"},{"code":"10780","title":"Alexandria, LA","type":"4","state":"LA"},{"code":"10900","title":"Allentown-Bethlehem-Easton, PA-NJ","type":"4","state":"PA"},{"code":"11020","title":"Altoona, PA","type":"4","state":"PA"},{"code":"11100","title":"Amarillo, TX","type":"4","state":"TX"},{"code":"11180","title":"Ames, IA","type":"4","state":"IA"},{"code":"11200","title":"Amherst Town-Northampton, MA","type":"4","state":"MA"},{"code":"11260","title":"Anchorage, AK","type":"4","state":"AK"},{"code":"11460","title":"Ann Arbor, MI","type":"4","state":"MI"},{"code":"11500","title":"Anniston-Oxford, AL","type":"4","state":"AL"},{"code":"11540","title":"Appleton, WI","type":"4","state":"WI"},{"code":"11640","title":"Arecibo, 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MI","type":"4","state":"MI"},{"code":"13020","title":"Bay City, MI","type":"4","state":"MI"},{"code":"13140","title":"Beaumont-Port Arthur, TX","type":"4","state":"TX"},{"code":"13220","title":"Beckley, WV","type":"4","state":"WV"},{"code":"13380","title":"Bellingham, WA","type":"4","state":"WA"},{"code":"13460","title":"Bend, OR","type":"4","state":"OR"},{"code":"13740","title":"Billings, MT","type":"4","state":"MT"},{"code":"13780","title":"Binghamton, NY","type":"4","state":"NY"},{"code":"13820","title":"Birmingham, AL","type":"4","state":"AL"},{"code":"13900","title":"Bismarck, ND","type":"4","state":"ND"},{"code":"13980","title":"Blacksburg-Christiansburg-Radford, VA","type":"4","state":"VA"},{"code":"14010","title":"Bloomington, IL","type":"4","state":"IL"},{"code":"14020","title":"Bloomington, IN","type":"4","state":"IN"},{"code":"14260","title":"Boise City, ID","type":"4","state":"ID"},{"code":"14460","title":"Boston-Cambridge-Newton, 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OH-KY-IN","type":"4","state":"OH"},{"code":"17300","title":"Clarksville, TN-KY","type":"4","state":"TN"},{"code":"17410","title":"Cleveland, OH","type":"4","state":"OH"},{"code":"17420","title":"Cleveland, TN","type":"4","state":"TN"},{"code":"17660","title":"Coeur d'Alene, ID","type":"4","state":"ID"},{"code":"17780","title":"College Station-Bryan, TX","type":"4","state":"TX"},{"code":"17820","title":"Colorado Springs, CO","type":"4","state":"CO"},{"code":"17860","title":"Columbia, MO","type":"4","state":"MO"},{"code":"17900","title":"Columbia, SC","type":"4","state":"SC"},{"code":"17980","title":"Columbus, GA-AL","type":"4","state":"GA"},{"code":"18020","title":"Columbus, IN","type":"4","state":"IN"},{"code":"18140","title":"Columbus, OH","type":"4","state":"OH"},{"code":"18580","title":"Corpus Christi, TX","type":"4","state":"TX"},{"code":"18700","title":"Corvallis, OR","type":"4","state":"OR"},{"code":"18880","title":"Crestview-Fort Walton Beach-Destin, 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