{ "dataset": "Warehouse Injury Statistics Dataset", "version": "1.0.1", "publisher": "Uptime Dock & Door", "built": "2026-09-17", "geography": "United States", "temporal_coverage": "1948/2026", "description": "A source-linked compilation of national warehouse nonfatal estimates (2022-2024), separate fatal injury counts (2023-2024), historical BLS observations (1948,1950,1952), and statutory/agency scope material checked in September 2026. Periods and populations remain separate.", "evidence_marks": { "SR": "Source-reported; checked against the cited primary material", "CA": "Calculated from source-reported inputs or explicitly hypothetical worked-example inputs; not an agency estimate" }, "rules": [ "CSV blank numeric cells and JSON null are unknown/not applicable, never zero. Read the status field.", "DART contains DAFW and DJTR. Do not add the subtotal to its components.", "Counts and rates are source-rounded; published categories may not sum exactly.", "Private industry includes warehousing; subsector and aggregate rows overlap.", "Rates are cases per 100 full-time-equivalent workers (200,000 hours), not percentages of people injured.", "SOII nonfatal estimates and CFOI fatal counts have different program coverage; no combined total is calculated.", "Annual SOII table footnote 3 labels NAICS 2017; CFOI 2023-2024 uses NAICS 2022. Do not replace a source-table edition with a generic handbook statement.", "Approximate normal 95% intervals use rounded estimates and rate RSEs; they quantify sampling uncertainty only and are not a formal difference test.", "Historical disabling injury frequencies include different cases and establishment populations. Multiplying by 0.2 changes exposure units only, not comparability.", "Minnesota threshold rows reproduce an agency-posted 2023-basis table, not a current compliance calculator.", "No license is asserted for this compilation. BLS public-domain material remains subject to its own published reuse guidance; do not infer rights over other third-party material." ], "sources": { "iag493": "https://www.bls.gov/iag/tgs/iag493.htm", "t1_2022": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm", "t1_2023": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2023-national.htm", "t1_2024": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "t2_2022": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm", "t2_2023": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2023-national.htm", "t2_2024": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "a1_2024": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm", "calc": "https://www.bls.gov/opub/hom/soii/calculation.htm", "nr_soii": "https://www.bls.gov/news.release/osh.nr0.htm", "t01_nr": "https://www.bls.gov/news.release/osh.t01.htm", "charts": "https://www.bls.gov/charts/injuries-and-illnesses/number-and-rate-of-nonfatal-work-injuries-and-illnesses-by-industry.htm", "cfoi_nr": "https://www.bls.gov/news.release/cfoi.nr0.htm", "cfoi_a1_2023": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm", "cfoi_a1_2024": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "ted_cfoi": "https://www.bls.gov/opub/ted/2026/fatal-work-injuries-declined-in-2024.htm", "b1174": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "mn": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "mn_stat": "https://www.revisor.mn.gov/statutes/cite/182.6526", "mn_676": "https://www.revisor.mn.gov/statutes/cite/182.676", "nep": "https://www.osha.gov/enforcement/directives/cpl-03-00-026-0", "ny": "https://www.nysenate.gov/legislation/laws/LAB/780", "ca": "https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB701", "wa": "https://app.leg.wa.gov/RCW/default.aspx?cite=49.84.010", "osha_wh": "https://www.osha.gov/warehousing", "a2_2024": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-2-relative-standard-errors-industry-counts-2024-national.htm", "soii_concepts": "https://www.bls.gov/opub/hom/soii/concepts.htm", "cfoi_concepts": "https://www.bls.gov/opub/hom/cfoi/concepts.htm", "auxiliary": "https://www.bls.gov/opub/mlr/2021/article/measuring-industry-employment-1990-2018-a-look-at-the-auxiliary-unit-concept.htm", "recordkeeping": "https://www.osha.gov/laws-regs/regulations/standardnumber/1904/1904.7", "nep_news": "https://www.osha.gov/quicktakes/080626", "nep_scope": "https://www.osha.gov/warehousing/standards-enforcement", "ny_program": "https://www.nysenate.gov/legislation/laws/LAB/789", "ny_agency": "https://dol.ny.gov/WWPA", "ca_agency": "https://www.dir.ca.gov/dlse/FAQ_warehousequotas.htm", "wa_agency": "https://www.lni.wa.gov/workers-rights/industry-specific-requirements/warehouse-quota-standards/", "copyright": "https://www.bls.gov/bls/linksite.htm" }, "tables": { "benchmarks_2022_2024": [ { "record_id": "soii-2022-493-dafw", "source_program": "BLS Survey of Occupational Injuries and Illnesses (SOII)", "data_year": 2022, "geography": "United States", "ownership": "Private industry", "naics_code": "493", "industry": "Warehousing and storage", "industry_role": "warehouse industry", "case_type": "DAFW", "case_definition": "Cases with days away from work (with or without job transfer or restriction)", "estimated_cases": 35400, "count_unit": "nonfatal injury and illness cases", "rate": 2.2, "rate_unit": "cases per 100 full-time-equivalent workers", "rate_rse_percent": null, "count_rse_percent": null, "rate_ci95_low": null, "rate_ci95_high": null, "ci_formula": "", "value_status": "published", "evidence_mark": "SR", "ci_evidence_mark": "", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm", "rse_source_url": "", "verified_date": "2026-09-17", "naics_edition": "2017, as labeled in the annual source table footnote 3", "rate_source_locator": "Table 1 (2022), Private industry > Warehousing and storage; 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Code 2100 et seq.)", "effective_or_data_date": "2022-01-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "493110", "naics_title": "General warehousing and storage", "status": "included", "note": "Coverage depends on employer and employee definitions; Labor Code 2107(b) separately includes an injury-rate referral.", "evidence_mark": "SR", "source_url": "https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB701", "verified_date": "2026-09-17", "geography": "California", "source_locator": "AB 701 chaptered text, Labor Code 2100(f), 2100(i); employee definition 2100(d); rate referral in 2107(b)" }, { "authority": "California", "instrument": "AB 701 (Lab. Code 2100 et seq.)", "effective_or_data_date": "2022-01-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "423", "naics_title": "Merchant wholesalers, durable goods", "status": "included", "note": "Coverage depends on employer and employee definitions; Labor Code 2107(b) separately includes an injury-rate referral.", "evidence_mark": "SR", "source_url": "https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB701", "verified_date": "2026-09-17", "geography": "California", "source_locator": "AB 701 chaptered text, Labor Code 2100(f), 2100(i); employee definition 2100(d); rate referral in 2107(b)" }, { "authority": "California", "instrument": "AB 701 (Lab. Code 2100 et seq.)", "effective_or_data_date": "2022-01-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "424", "naics_title": "Merchant wholesalers, nondurable goods", "status": "included", "note": "Coverage depends on employer and employee definitions; Labor Code 2107(b) separately includes an injury-rate referral.", "evidence_mark": "SR", "source_url": "https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB701", "verified_date": "2026-09-17", "geography": "California", "source_locator": "AB 701 chaptered text, Labor Code 2100(f), 2100(i); employee definition 2100(d); rate referral in 2107(b)" }, { "authority": "California", "instrument": "AB 701 (Lab. Code 2100 et seq.)", "effective_or_data_date": "2022-01-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "454110", "naics_title": "Electronic shopping and mail-order houses", "status": "included", "note": "Coverage depends on employer and employee definitions; Labor Code 2107(b) separately includes an injury-rate referral.", "evidence_mark": "SR", "source_url": "https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB701", "verified_date": "2026-09-17", "geography": "California", "source_locator": "AB 701 chaptered text, Labor Code 2100(f), 2100(i); employee definition 2100(d); rate referral in 2107(b)" }, { "authority": "Washington", "instrument": "RCW chapter 49.84 (enacted by HB 1762)", "effective_or_data_date": "2024-07-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "493 excluding 493130", "naics_title": "Warehousing and storage, excluding farm product warehousing and storage", "status": "included", "note": "Threshold follows the statute (100 or more / 1,000 or more); L&I overview uses more than. Industry and employee definitions also apply.", "evidence_mark": "SR", "source_url": "https://app.leg.wa.gov/RCW/default.aspx?cite=49.84.010", "verified_date": "2026-09-17", "geography": "Washington", "source_locator": "RCW 49.84.010(9), (12)" }, { "authority": "Washington", "instrument": "RCW chapter 49.84 (enacted by HB 1762)", "effective_or_data_date": "2024-07-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "423", "naics_title": "Merchant wholesalers, durable goods", "status": "included", "note": "Threshold follows the statute (100 or more / 1,000 or more); L&I overview uses more than. Industry and employee definitions also apply.", "evidence_mark": "SR", "source_url": "https://app.leg.wa.gov/RCW/default.aspx?cite=49.84.010", "verified_date": "2026-09-17", "geography": "Washington", "source_locator": "RCW 49.84.010(9), (12)" }, { "authority": "Washington", "instrument": "RCW chapter 49.84 (enacted by HB 1762)", "effective_or_data_date": "2024-07-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "424", "naics_title": "Merchant wholesalers, nondurable goods", "status": "included", "note": "Threshold follows the statute (100 or more / 1,000 or more); L&I overview uses more than. Industry and employee definitions also apply.", "evidence_mark": "SR", "source_url": "https://app.leg.wa.gov/RCW/default.aspx?cite=49.84.010", "verified_date": "2026-09-17", "geography": "Washington", "source_locator": "RCW 49.84.010(9), (12)" }, { "authority": "Washington", "instrument": "RCW chapter 49.84 (enacted by HB 1762)", "effective_or_data_date": "2024-07-01", "covered_employer_size": "100+ employees at one distribution center, or 1,000+ statewide", "naics_code": "454110", "naics_title": "Electronic shopping and mail-order houses", "status": "included", "note": "Threshold follows the statute (100 or more / 1,000 or more); L&I overview uses more than. Industry and employee definitions also apply.", "evidence_mark": "SR", "source_url": "https://app.leg.wa.gov/RCW/default.aspx?cite=49.84.010", "verified_date": "2026-09-17", "geography": "Washington", "source_locator": "RCW 49.84.010(9), (12)" }, { "authority": "OSHA", "instrument": "National Emphasis Program on Warehousing and Distribution Center Operations, CPL 03-00-026", "effective_or_data_date": "2026-07-31", "covered_employer_size": "OSHA jurisdiction and directive selection criteria apply", "naics_code": "", "naics_title": "Warehousing and distribution center operations", "status": "scope described by agency; no exact targeting-code assertion", "note": "Scope verified in OSHA own standards/enforcement page and August 6, 2026 QuickTakes. This is not the directive targeting appendix.", "evidence_mark": "SR", "source_url": "https://www.osha.gov/warehousing/standards-enforcement", "verified_date": "2026-09-17", "geography": "Federal OSHA jurisdiction", "source_locator": "National Emphasis Program scope paragraph; QuickTakes August 6, 2026 renewal" }, { "authority": "OSHA", "instrument": "National Emphasis Program on Warehousing and Distribution Center Operations, CPL 03-00-026", "effective_or_data_date": "2026-07-31", "covered_employer_size": "OSHA jurisdiction and directive selection criteria apply", "naics_code": "", "naics_title": "Mail/postal processing and distribution centers", "status": "scope described by agency; no exact targeting-code assertion", "note": "Scope verified in OSHA own standards/enforcement page and August 6, 2026 QuickTakes. This is not the directive targeting appendix.", "evidence_mark": "SR", "source_url": "https://www.osha.gov/warehousing/standards-enforcement", "verified_date": "2026-09-17", "geography": "Federal OSHA jurisdiction", "source_locator": "National Emphasis Program scope paragraph; QuickTakes August 6, 2026 renewal" }, { "authority": "OSHA", "instrument": "National Emphasis Program on Warehousing and Distribution Center Operations, CPL 03-00-026", "effective_or_data_date": "2026-07-31", "covered_employer_size": "OSHA jurisdiction and directive selection criteria apply", "naics_code": "", "naics_title": "Parcel delivery/courier services", "status": "scope described by agency; no exact targeting-code assertion", "note": "Scope verified in OSHA own standards/enforcement page and August 6, 2026 QuickTakes. This is not the directive targeting appendix.", "evidence_mark": "SR", "source_url": "https://www.osha.gov/warehousing/standards-enforcement", "verified_date": "2026-09-17", "geography": "Federal OSHA jurisdiction", "source_locator": "National Emphasis Program scope paragraph; QuickTakes August 6, 2026 renewal" } ], "minnesota_trigger": [ { "naics_code": "493110", "industry": "General warehousing and storage", "rate_2021": 5.6, "rate_2022": 5.7, "rate_2023": 4.8, "published_30pct_above_line": 6.24, "recomputed_30pct_above_line": 6.24, "recomputation_matches": "yes", "rate_unit": "cases per 100 full-time-equivalent workers", "evidence_mark": "SR / CA", "source_url": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "verified_date": "2026-09-17", "geography": "Minnesota agency table of national industry benchmarks", "data_period": "2021; 2022; 2023", "threshold_basis_year": 2023, "agency_page_last_updated": "2025-09-04", "source_locator": "Published BLS industry rates table, 2021-2023; 30% above column", "note": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." }, { "naics_code": "423", "industry": "Merchant wholesalers, durable goods", "rate_2021": 2.1, "rate_2022": 2.3, "rate_2023": 2.6, "published_30pct_above_line": 3.38, "recomputed_30pct_above_line": 3.38, "recomputation_matches": "yes", "rate_unit": "cases per 100 full-time-equivalent workers", "evidence_mark": "SR / CA", "source_url": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "verified_date": "2026-09-17", "geography": "Minnesota agency table of national industry benchmarks", "data_period": "2021; 2022; 2023", "threshold_basis_year": 2023, "agency_page_last_updated": "2025-09-04", "source_locator": "Published BLS industry rates table, 2021-2023; 30% above column", "note": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." }, { "naics_code": "424", "industry": "Merchant wholesalers, nondurable goods", "rate_2021": 3.5, "rate_2022": 3.6, "rate_2023": 3.1, "published_30pct_above_line": 4.03, "recomputed_30pct_above_line": 4.03, "recomputation_matches": "yes", "rate_unit": "cases per 100 full-time-equivalent workers", "evidence_mark": "SR / CA", "source_url": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "verified_date": "2026-09-17", "geography": "Minnesota agency table of national industry benchmarks", "data_period": "2021; 2022; 2023", "threshold_basis_year": 2023, "agency_page_last_updated": "2025-09-04", "source_locator": "Published BLS industry rates table, 2021-2023; 30% above column", "note": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." }, { "naics_code": "454110", "industry": "Electronic shopping and mail-order houses", "rate_2021": 1.4, "rate_2022": 1.4, "rate_2023": 1.3, "published_30pct_above_line": 1.69, "recomputed_30pct_above_line": 1.69, "recomputation_matches": "yes", "rate_unit": "cases per 100 full-time-equivalent workers", "evidence_mark": "SR / CA", "source_url": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "verified_date": "2026-09-17", "geography": "Minnesota agency table of national industry benchmarks", "data_period": "2021; 2022; 2023", "threshold_basis_year": 2023, "agency_page_last_updated": "2025-09-04", "source_locator": "Published BLS industry rates table, 2021-2023; 30% above column", "note": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." }, { "naics_code": "492110", "industry": "Couriers and express delivery services", "rate_2021": 8, "rate_2022": 9.8, "rate_2023": 9.7, "published_30pct_above_line": 12.61, "recomputed_30pct_above_line": 12.61, "recomputation_matches": "yes", "rate_unit": "cases per 100 full-time-equivalent workers", "evidence_mark": "SR / CA", "source_url": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers", "verified_date": "2026-09-17", "geography": "Minnesota agency table of national industry benchmarks", "data_period": "2021; 2022; 2023", "threshold_basis_year": 2023, "agency_page_last_updated": "2025-09-04", "source_locator": "Published BLS industry rates table, 2021-2023; 30% above column", "note": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." } ], "bulletin_1174_1950": [ { "breakdown": "industry", "category": "Warehousing and storage, all public warehouses", "data_year": 1952, "injury_frequency_rate_per_million_hours": 36.4, "converted_rate_per_100_fte": 7.28, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Latest final year in the bulletin", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1952-01", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Warehousing and storage industry/public warehouses, including supplementary operations; historical BLS industry series", "source_locator": "Printed p.1, industry frequency narrative", "value_status": "published" }, { "breakdown": "industry", "category": "Warehousing and storage, all public warehouses", "data_year": 1948, "injury_frequency_rate_per_million_hours": 26.6, "converted_rate_per_100_fte": 5.32, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Only postwar year below 30", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1948-02", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Warehousing and storage industry/public warehouses, including supplementary operations; historical BLS industry series", "source_locator": "Printed p.1, industry frequency narrative", "value_status": "published" }, { "breakdown": "industry", "category": "Detailed-study subgroup (274 warehouses)", "data_year": 1950, "injury_frequency_rate_per_million_hours": 51.2, "converted_rate_per_100_fte": 10.24, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Excludes warehouses with zero injuries", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-03", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at 274 cooperating public warehouses with injury records; zero-injury warehouses excluded", "source_locator": "Printed p.4, detailed-study subgroup paragraph", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Refrigerated warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 39.7, "converted_rate_per_100_fte": 7.94, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Highest of the four main types", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-04", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Refrigerated warehouses storing food products", "data_year": 1950, "injury_frequency_rate_per_million_hours": 40.9, "converted_rate_per_100_fte": 8.18, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Highest specific type recorded", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-05", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Canned-goods warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 39.5, "converted_rate_per_100_fte": 7.9, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-06", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Merchandise warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 33, "converted_rate_per_100_fte": 6.6, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-07", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Cotton warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 26.7, "converted_rate_per_100_fte": 5.34, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-08", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Farm-products warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 25, "converted_rate_per_100_fte": 5, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-09", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Grain warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 22.1, "converted_rate_per_100_fte": 4.42, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-10", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "warehouse type", "category": "Household-goods warehouses", "data_year": 1950, "injury_frequency_rate_per_million_hours": 21, "converted_rate_per_100_fte": 4.2, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Lowest of the four main types", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-11", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Coolermen", "data_year": 1950, "injury_frequency_rate_per_million_hours": 85.9, "converted_rate_per_100_fte": 17.18, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Highest occupational rate in the study", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-12", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Ice handlers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 76.1, "converted_rate_per_100_fte": 15.22, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-13", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Freezermen", "data_year": 1950, "injury_frequency_rate_per_million_hours": 61.7, "converted_rate_per_100_fte": 12.34, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-14", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Handlers and stackers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 51.6, "converted_rate_per_100_fte": 10.32, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-15", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Handtruckers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 44, "converted_rate_per_100_fte": 8.8, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Highest among materials-movement workers", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-16", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "General warehousemen", "data_year": 1950, "injury_frequency_rate_per_million_hours": 38.2, "converted_rate_per_100_fte": 7.64, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Largest occupational group in the industry", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-17", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Maintenance workers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 37.2, "converted_rate_per_100_fte": 7.44, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-18", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Packers and craters", "data_year": 1950, "injury_frequency_rate_per_million_hours": 35.6, "converted_rate_per_100_fte": 7.12, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-19", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Order fillers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 34.6, "converted_rate_per_100_fte": 6.92, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Value checked in scanned Table 1 (printed p.41); do not use the differing or garbled text transcription.", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-20", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Compress operators", "data_year": 1950, "injury_frequency_rate_per_million_hours": 48.2, "converted_rate_per_100_fte": 9.64, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Value checked in scanned Table 1 (printed p.41); do not use the differing or garbled text transcription.", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-21", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Elevator operators", "data_year": 1950, "injury_frequency_rate_per_million_hours": 27, "converted_rate_per_100_fte": 5.4, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-22", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Forklift operators", "data_year": 1950, "injury_frequency_rate_per_million_hours": 26.2, "converted_rate_per_100_fte": 5.24, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-23", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Checkers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 23.4, "converted_rate_per_100_fte": 4.68, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Value checked in scanned Table 1 (printed p.41); do not use the differing or garbled text transcription.", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-24", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Grain-elevator men", "data_year": 1950, "injury_frequency_rate_per_million_hours": 21.4, "converted_rate_per_100_fte": 4.28, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Value checked in scanned Table 1 (printed p.41); do not use the differing or garbled text transcription.", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-25", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Refrigerating engineers", "data_year": 1950, "injury_frequency_rate_per_million_hours": 18.9, "converted_rate_per_100_fte": 3.78, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-26", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Food processors", "data_year": 1950, "injury_frequency_rate_per_million_hours": 13.9, "converted_rate_per_100_fte": 2.78, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-27", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Janitors", "data_year": 1950, "injury_frequency_rate_per_million_hours": 11.4, "converted_rate_per_100_fte": 2.28, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-28", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "occupation", "category": "Watchmen", "data_year": 1950, "injury_frequency_rate_per_million_hours": 9.8, "converted_rate_per_100_fte": 1.96, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Lower than other selected operating occupations; not the lowest occupation in the full table (clerical workers are separate).", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-29", "geography": "United States", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.41, Table 1, all disabling injuries column", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Chicago", "data_year": 1950, "injury_frequency_rate_per_million_hours": 23.8, "converted_rate_per_100_fte": 4.76, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Lowest metro rate published", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-30", "geography": "Chicago (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Boston", "data_year": 1950, "injury_frequency_rate_per_million_hours": 25.5, "converted_rate_per_100_fte": 5.1, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-31", "geography": "Boston (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Los Angeles", "data_year": 1950, "injury_frequency_rate_per_million_hours": 25.6, "converted_rate_per_100_fte": 5.12, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-32", "geography": "Los Angeles (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Buffalo", "data_year": 1950, "injury_frequency_rate_per_million_hours": 29.3, "converted_rate_per_100_fte": 5.86, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-33", "geography": "Buffalo (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Philadelphia", "data_year": 1950, "injury_frequency_rate_per_million_hours": 32.5, "converted_rate_per_100_fte": 6.5, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-34", "geography": "Philadelphia (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "New York-Northeastern New Jersey", "data_year": 1950, "injury_frequency_rate_per_million_hours": null, "converted_rate_per_100_fte": null, "conversion_formula": "", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "No point estimate selected: extracted narrative on p.14 and table text on p.43 disagree. Numeric value withheld, not zero. See private evidence ledger.", "evidence_mark": "", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-35", "geography": "New York-Northeastern New Jersey (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "not used: extracted narrative/table conflict" }, { "breakdown": "metropolitan area", "category": "New Orleans", "data_year": 1950, "injury_frequency_rate_per_million_hours": 40.4, "converted_rate_per_100_fte": 8.08, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-36", "geography": "New Orleans (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Minneapolis-St. Paul", "data_year": 1950, "injury_frequency_rate_per_million_hours": 50.5, "converted_rate_per_100_fte": 10.1, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-37", "geography": "Minneapolis-St. Paul (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "Kansas City", "data_year": 1950, "injury_frequency_rate_per_million_hours": 50.6, "converted_rate_per_100_fte": 10.12, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-38", "geography": "Kansas City (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" }, { "breakdown": "metropolitan area", "category": "San Antonio", "data_year": 1950, "injury_frequency_rate_per_million_hours": 66.2, "converted_rate_per_100_fte": 13.24, "conversion_formula": "frequency_rate * 200000 / 1000000", "measure_definition": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945", "note": "Highest metro rate published", "evidence_mark": "SR / CA", "source": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "verified_date": "2026-09-17", "record_id": "b1174-1950-39", "geography": "San Antonio (1950 study metropolitan area)", "original_unit": "disabling work injuries per 1,000,000 employee-hours", "converted_unit": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition", "population": "Inside workers at responding public (for-hire) warehouses, 1950 study", "source_locator": "Printed p.14 narrative, Metropolitan Area Comparisons; appendix Table 3 printed p.43", "value_status": "published" } ], "calculations": [ { "calculation_id": "trc_ratio_2024", "finding": "Warehousing recordable rate compared with all private industry", "unit": "ratio", "formula": "493 rate / private-industry rate", "inputs": "4.8 / 2.3", "note": "Both rates are published and rounded to one decimal by BLS.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 2.0869565217, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "dart_ratio_2024", "finding": "Warehousing DART rate compared with all private industry", "unit": "ratio", "formula": "493 DART rate / private-industry DART rate", "inputs": "4.1 / 1.4", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 2.9285714286, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "dafw_ratio_2024", "finding": "Warehousing days-away rate compared with all private industry", "unit": "ratio", "formula": "493 DAFW rate / private-industry DAFW rate", "inputs": "1.5 / 0.8", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 1.875, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "djtr_ratio_2024", "finding": "Warehousing restricted-duty rate compared with all private industry", "unit": "ratio", "formula": "493 DJTR rate / private-industry DJTR rate", "inputs": "2.6 / 0.5", "note": "The largest gap of any case type.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 5.2, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "wh_djtr_share_dart_2024", "finding": "Share of warehousing DART cases that are restricted duty or job transfer only", "unit": "percent", "formula": "DJTR cases / DART cases * 100", "inputs": "42,000 / 66,800 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493); comparison population named in finding", "value": 62.874251497, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "wh_dafw_share_dart_2024", "finding": "Share of warehousing DART cases that involve days away from work", "unit": "percent", "formula": "DAFW cases / DART cases * 100", "inputs": "24,800 / 66,800 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493); comparison population named in finding", "value": 37.125748503, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "pi_dafw_share_dart_2024", "finding": "Share of private-industry DART cases that involve days away from work", "unit": "percent", "formula": "DAFW cases / DART cases * 100", "inputs": "888,100 / 1,455,600 * 100", "note": "Same year, same measure, so the warehousing split is directly comparable.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "All U.S. private-industry establishments", "value": 61.0126408354, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "pi_djtr_share_dart_2024", "finding": "Share of private-industry DART cases that are restricted duty or job transfer only", "unit": "percent", "formula": "DJTR cases / DART cases * 100", "inputs": "567,500 / 1,455,600 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "All U.S. private-industry establishments", "value": 38.9873591646, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "wh_dart_share_trc_2024", "finding": "Share of warehousing recordable cases involving days away, job transfer or restriction", "unit": "percent", "formula": "DART cases / total recordable cases * 100", "inputs": "66,800 / 77,000 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493); comparison population named in finding", "value": 86.7532467532, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "pi_dart_share_trc_2024", "finding": "Share of private-industry recordable cases involving days away, job transfer or restriction", "unit": "percent", "formula": "DART cases / total recordable cases * 100", "inputs": "1,455,600 / 2,488,400 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "All U.S. private-industry establishments", "value": 58.495418743, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "wh_share_of_sector_cases_2024", "finding": "Warehousing share of all transportation and warehousing recordable cases", "unit": "percent", "formula": "493 cases / sector cases * 100", "inputs": "77,000 / 261,500 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493); comparison population named in finding", "value": 29.4455066922, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "rate_change_2022_2024", "finding": "Change in the warehousing recordable rate, 2022 to 2024", "unit": "percent", "formula": "(rate 2024 - rate 2022) / rate 2022 * 100", "inputs": "(4.8 - 5.5) / 5.5 * 100", "note": "Descriptive change only. The data do not explain why it moved.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2022;2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": -12.7272727273, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "count_change_2022_2024", "finding": "Change in warehousing recordable case count, 2022 to 2024", "unit": "percent", "formula": "(cases 2024 - cases 2022) / cases 2022 * 100", "inputs": "(77,000 - 89,900) / 89,900 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2022;2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": -14.3492769744, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "deaths_share_us_2024", "finding": "Warehousing share of all U.S. work-related deaths", "unit": "percent", "formula": "493 deaths / all U.S. deaths * 100", "inputs": "32 / 5,070 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 0.6311637081, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "deaths_share_sector_2024", "finding": "Warehousing share of transportation and warehousing deaths", "unit": "percent", "formula": "493 deaths / sector deaths * 100", "inputs": "32 / 865 * 100", "note": "", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 3.6994219653, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "deaths_change_2023_2024", "finding": "Change in warehousing deaths, 2023 to 2024", "unit": "percent", "formula": "(deaths 2024 - deaths 2023) / deaths 2023 * 100", "inputs": "(32 - 28) / 28 * 100", "note": "Four deaths on a base of 28. Treat as one year of data, not a trend.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2023;2024", "population": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population", "value": 14.2857142857, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "rate_1952_modern_basis", "finding": "1952 warehousing disabling-injury frequency restated per 200,000 employee-hours", "unit": "disabling work injuries per 200,000 employee-hours", "formula": "frequency rate * 200,000 / 1,000,000", "inputs": "36.4 * 0.2", "note": "Unit conversion only. The underlying case definitions still differ.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "1952", "population": "Historical warehousing and storage industry/public warehouses", "value": 7.28, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "ci_493_trc_2024", "finding": "Approximate 95% interval around the Warehousing and storage recordable rate", "unit": "cases per 100 full-time-equivalent workers", "formula": "estimate +/- 1.96 * estimate * (RSE / 100)", "inputs": "4.8 +/- 1.96 * 4.8 * (1.7/100)", "note": "Describes sampling uncertainty only, not reporting error. BLS does not publish this interval.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry Warehousing and storage (NAICS 493)", "value": null, "range_low": 4.640064, "range_high": 4.959936, "input_record_ids": "soii-2024-493-trc", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "ci_49311_trc_2024", "finding": "Approximate 95% interval around the General warehousing and storage recordable rate", "unit": "cases per 100 full-time-equivalent workers", "formula": "estimate +/- 1.96 * estimate * (RSE / 100)", "inputs": "4.9 +/- 1.96 * 4.9 * (1.7/100)", "note": "Describes sampling uncertainty only, not reporting error. BLS does not publish this interval.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry General warehousing and storage (NAICS 49311)", "value": null, "range_low": 4.736732, "range_high": 5.063268, "input_record_ids": "soii-2024-49311-trc", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "ci_49312_trc_2024", "finding": "Approximate 95% interval around the Refrigerated warehousing and storage recordable rate", "unit": "cases per 100 full-time-equivalent workers", "formula": "estimate +/- 1.96 * estimate * (RSE / 100)", "inputs": "3.4 +/- 1.96 * 3.4 * (9.3/100)", "note": "Describes sampling uncertainty only, not reporting error. BLS does not publish this interval.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry Refrigerated warehousing and storage (NAICS 49312)", "value": null, "range_low": 2.780248, "range_high": 4.019752, "input_record_ids": "soii-2024-49312-trc", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "ci_49319_trc_2024", "finding": "Approximate 95% interval around the Other warehousing and storage recordable rate", "unit": "cases per 100 full-time-equivalent workers", "formula": "estimate +/- 1.96 * estimate * (RSE / 100)", "inputs": "2.9 +/- 1.96 * 2.9 * (19.7/100)", "note": "Describes sampling uncertainty only, not reporting error. BLS does not publish this interval.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "U.S. private-industry Other warehousing and storage (NAICS 49319)", "value": null, "range_low": 1.780252, "range_high": 4.019748, "input_record_ids": "soii-2024-49319-trc", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "example_trir", "finding": "Worked example for the rate calculator", "unit": "cases per 100 full-time-equivalent workers", "formula": "cases * 200,000 / hours worked", "inputs": "7 * 200,000 / 420,000", "note": "Illustrative inputs, not observed facility data. Ratios use the unrounded calculated rate.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Illustrative facility, not observed Uptime customer data; comparisons use U.S. private-industry 2024 benchmarks", "value": 3.3333333333, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/opub/hom/soii/calculation.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "example_vs_493", "finding": "Worked example compared with the 2024 warehousing rate", "unit": "percent of the industry rate", "formula": "your rate / industry rate * 100", "inputs": "(7 * 200000 / 420000) / 4.8 * 100", "note": "Illustrative inputs, not observed facility data. Ratios use the unrounded calculated rate.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Illustrative facility, not observed Uptime customer data; comparisons use U.S. private-industry 2024 benchmarks", "value": 69.4444444444, "range_low": null, "range_high": null, "input_record_ids": "", "source_urls": "https://www.bls.gov/opub/hom/soii/calculation.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "source_locator": "Named source rows and case categories; numeric inputs and formula given in this record", "publish_status": "publishable" }, { "calculation_id": "orc_ratio_2024", "finding": "Warehousing other-recordable rate divided by all private industry", "unit": "ratio", "formula": "0.6 / 1.0", "inputs": "0.6 / 1.0", "value": 0.6, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Warehousing other-recordable rate divided by all private industry", "source_urls": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "example_vs_private", "finding": "Worked example relative to the matching private-industry TRC benchmark", "unit": "percent of benchmark", "formula": "(7*200000/420000)/2.3*100", "inputs": "(7*200000/420000)/2.3*100", "value": 144.9275362319, "range_low": null, "range_high": null, "note": "Hypothetical inputs; full precision retained before final rounding.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Illustrative facility compared with all private industry", "source_urls": "https://www.bls.gov/opub/hom/soii/calculation.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "fatal_us_change", "finding": "Change in U.S. fatal occupational injuries", "unit": "percent", "formula": "(5070-5283)/5283*100", "inputs": "(5070-5283)/5283*100", "value": -4.0318001136, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2023;2024", "population": "Change in U.S. fatal occupational injuries", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "fatal_construction_change", "finding": "Change in private-industry construction fatal occupational injuries", "unit": "percent", "formula": "(1034-1075)/1075*100", "inputs": "(1034-1075)/1075*100", "value": -3.8139534884, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2023;2024", "population": "Change in private-industry construction fatal occupational injuries", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "fatal_sector_change", "finding": "Change in private-industry transportation and warehousing fatal occupational injuries", "unit": "percent", "formula": "(865-930)/930*100", "inputs": "(865-930)/930*100", "value": -6.9892473118, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2023;2024", "population": "Change in private-industry transportation and warehousing fatal occupational injuries", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm ; https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "fatal_construction_share", "finding": "Private-industry construction share of all U.S. fatal occupational injuries", "unit": "percent", "formula": "1034/5070*100", "inputs": "1034/5070*100", "value": 20.3944773176, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Private-industry construction share of all U.S. fatal occupational injuries", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" }, { "calculation_id": "fatal_sector_share", "finding": "Private-industry transportation and warehousing share of all U.S. fatal occupational injuries", "unit": "percent", "formula": "865/5070*100", "inputs": "865/5070*100", "value": 17.0611439842, "range_low": null, "range_high": null, "note": "Descriptive calculation; not a significance test.", "evidence_mark": "CA", "verified_date": "2026-09-17", "geography": "United States", "data_period": "2024", "population": "Private-industry transportation and warehousing share of all U.S. fatal occupational injuries", "source_urls": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2024.htm", "source_locator": "Named annual source table row; expression contains exact inputs", "input_record_ids": "", "publish_status": "publishable" } ], "sector_comparison_2024": [ { "record_id": "sector-2024-493", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "493", "industry": "Warehousing and storage", "case_type": "TRC", "estimated_cases": 77000, "rate": 4.8, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-48-49", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "48-49", "industry": "Transportation and warehousing", "case_type": "TRC", "estimated_cases": 261500, "rate": 4.4, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-62", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "62", "industry": "Health care and social assistance", "case_type": "TRC", "estimated_cases": 553800, "rate": 3.4, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-44-45", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "44-45", "industry": "Retail trade", "case_type": "TRC", "estimated_cases": 339800, "rate": 3, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-31-33", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "31-33", "industry": "Manufacturing", "case_type": "TRC", "estimated_cases": 332600, "rate": 2.7, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-42", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "42", "industry": "Wholesale trade", "case_type": "TRC", "estimated_cases": 126800, "rate": 2.2, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-23", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "23", "industry": "Construction", "case_type": "TRC", "estimated_cases": 167100, "rate": 2.2, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "sector-2024-private", "data_year": 2024, "geography": "United States", "ownership": "Private industry", "naics_code": "", "industry": "All private industry", "case_type": "TRC", "estimated_cases": 2488400, "rate": 2.3, "rate_unit": "cases per 100 full-time-equivalent workers", "count_unit": "nonfatal injury and illness cases", "rate_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm", "count_source_url": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm", "source_locator": "Private industry, named industry row, Total recordable cases", "evidence_mark": "SR", "verified_date": "2026-09-17" } ], "context_figures": [ { "record_id": "soii-2023-24-overexertion", "measure": "DART cases: overexertion, repetitive motion and bodily conditions", "value": 946290, "unit": "nonfatal injury and illness cases", "data_period": "2023-2024 combined", "geography": "United States", "population": "All private industry", "source_url": "https://www.bls.gov/news.release/osh.nr0.htm", "source_locator": "Case circumstances section", "note": "Not annual; not warehouse-specific", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "soii-2023-24-contact", "measure": "DART cases: contact incidents", "value": 860050, "unit": "nonfatal injury and illness cases", "data_period": "2023-2024 combined", "geography": "United States", "population": "All private industry", "source_url": "https://www.bls.gov/news.release/osh.nr0.htm", "source_locator": "Case circumstances section", "note": "Not annual; not warehouse-specific", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "cfoi-2024-transport-national", "measure": "Fatal occupational injuries: transportation incidents", "value": 1937, "unit": "fatal occupational injuries", "data_period": "2024", "geography": "United States", "population": "All U.S. workers covered by CFOI", "source_url": "https://www.bls.gov/news.release/cfoi.nr0.htm", "source_locator": "Event or exposure section", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "cfoi-2024-falls-national", "measure": "Fatal occupational injuries: falls slips trips", "value": 844, "unit": "fatal occupational injuries", "data_period": "2024", "geography": "United States", "population": "All U.S. workers covered by CFOI", "source_url": "https://www.bls.gov/news.release/cfoi.nr0.htm", "source_locator": "Event or exposure section", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "cfoi-2024-contact-national", "measure": "Fatal occupational injuries: contact incidents", "value": 756, "unit": "fatal occupational injuries", "data_period": "2024", "geography": "United States", "population": "All U.S. workers covered by CFOI", "source_url": "https://www.bls.gov/news.release/cfoi.nr0.htm", "source_locator": "Event or exposure section", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "cfoi-2024-violent-national", "measure": "Fatal occupational injuries: violent acts", "value": 733, "unit": "fatal occupational injuries", "data_period": "2024", "geography": "United States", "population": "All U.S. workers covered by CFOI", "source_url": "https://www.bls.gov/news.release/cfoi.nr0.htm", "source_locator": "Event or exposure section", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-establishments", "measure": "Reporting public warehouses", "value": 2695, "unit": "establishments", "data_period": "1950", "geography": "United States", "population": "Public warehouses in the bulletin survey", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Printed pp. 3-4; Table 1 p.41", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-employees", "measure": "Covered inside warehouse employees", "value": 31956, "unit": "employees", "data_period": "1950", "geography": "United States", "population": "Reporting public warehouses", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Table 1 p.41", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-followup-sites", "measure": "Record-review establishments", "value": 274, "unit": "establishments", "data_period": "1950", "geography": "United States", "population": "Nonzero-injury subset of reporting public warehouses", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Printed p.4, Scope and Method of Survey", "note": "Not a representative sample of all warehouses; zero-injury establishments excluded", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-followup-cases", "measure": "Individually classified disabling injuries", "value": 1604, "unit": "disabling work injuries", "data_period": "1950", "geography": "United States", "population": "274 record-review establishments", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Printed p.4, Scope and Method of Survey", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-struck", "measure": "Struck-by accident type share", "value": 30.7, "unit": "percent of classified disabling injuries", "data_period": "1950", "geography": "United States", "population": "Classified injury cases in the detailed public-warehouse study", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Accident Types, printed p.18", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-overexertion", "measure": "Overexertion accident type share", "value": 23.4, "unit": "percent of classified disabling injuries", "data_period": "1950", "geography": "United States", "population": "Classified injury cases in the detailed public-warehouse study", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Accident Types, printed p.18", "note": "", "evidence_mark": "SR", "verified_date": "2026-09-17" }, { "record_id": "historical-containers", "measure": "Containers as agency of injury", "value": 30.3, "unit": "percent of classified disabling injuries", "data_period": "1950", "geography": "United States", "population": "Classified injury cases in the detailed public-warehouse study", "source_url": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf", "source_locator": "Agencies of Injury, printed p.21", "note": "Agency classification is not proof of an exclusive root cause", "evidence_mark": "SR", "verified_date": "2026-09-17" } ], "data_dictionary": [ { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "record_id", "json_type": "string", "description": "Stable identifier for the source-linked observation.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "soii-2022-493-dafw" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "source_program", "json_type": "string", "description": "Source program.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "BLS Survey of Occupational Injuries and Illnesses (SOII)" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "data_year", "json_type": "integer", "description": "Calendar year measured; not publication or verification year.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2022" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "ownership", "json_type": "string", "description": "Ownership.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Private industry" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "naics_code", "json_type": "string", "description": "Industry classification code, retained as text; an aggregate contains its own children.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "industry", "json_type": "string", "description": "Industry.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "industry_role", "json_type": "string", "description": "Industry role.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "warehouse industry" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "case_type", "json_type": "string", "description": "Case type.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "DAFW" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "case_definition", "json_type": "string", "description": "Case definition.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Cases with days away from work (with or without job transfer or restriction)" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "estimated_cases", "json_type": "integer", "description": "BLS estimated nonfatal injury AND illness cases; published thousands multiplied by 1,000.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "35400" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_unit", "json_type": "string", "description": "Count unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "nonfatal injury and illness cases" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate", "json_type": "number", "description": "Published case incidence rate; see rate_unit and case_definition.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2.2" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_unit", "json_type": "string", "description": "Rate unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "cases per 100 full-time-equivalent workers" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_rse_percent", "json_type": "number", "description": "Source-reported relative standard error of the rate, in percent.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "3.3" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_rse_percent", "json_type": "number", "description": "Source-reported relative standard error of the case count, in percent.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "3.4" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_ci95_low", "json_type": "number", "description": "Calculated approximate 95% interval lower endpoint from rounded rate and RSE.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "1.40298" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_ci95_high", "json_type": "number", "description": "Calculated approximate 95% interval upper endpoint from rounded rate and RSE.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "1.59702" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "ci_formula", "json_type": "string", "description": "Ci formula.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "rate +/- 1.96 * rate * rate_rse_percent / 100" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "value_status", "json_type": "string", "description": "Publication/missingness reason. Unknown is never zero.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "published" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "ci_evidence_mark", "json_type": "string", "description": "Ci evidence mark.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "CA" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_source_url", "json_type": "string", "description": "Primary-source URL for rate source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_source_url", "json_type": "string", "description": "Primary-source URL for count source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rse_source_url", "json_type": "string", "description": "Primary-source URL for rse source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-1-relative-standard-errors-industry-rates-2024-national.htm" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "naics_edition", "json_type": "string", "description": "Edition labeled by the cited source; not a claim about every agency table.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2017, as labeled in the annual source table footnote 3" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rate_source_locator", "json_type": "string", "description": "Rate source locator.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Table 1 (2022), Private industry > Warehousing and storage; DAFW column" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_source_locator", "json_type": "string", "description": "Count source locator.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Table 2 (2022), Private industry > Warehousing and storage; DAFW column; thousands normalized to cases" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_rse_source_url", "json_type": "string", "description": "Primary-source URL for count rse source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-a-2-relative-standard-errors-industry-counts-2024-national.htm" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rse_source_locator", "json_type": "string", "description": "Rse source locator.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Table A-1 (2024), Private industry > Warehousing and storage; DAFW column" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "count_rse_source_locator", "json_type": "string", "description": "Count rse source locator.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Table A-2 (2024), Private industry > Warehousing and storage; DAFW column" }, { "table": "benchmarks_2022_2024", "filename": "warehouse-injury-benchmarks-2022-2024.csv", "field": "rse_status", "json_type": "string", "description": "Distinguishes not collected for this compilation from unavailable source values.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "not collected for this compilation" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "record_id", "json_type": "string", "description": "Stable identifier for the source-linked observation.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "cfoi-2023-493-total" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "source_program", "json_type": "string", "description": "Source program.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "BLS Census of Fatal Occupational Injuries (CFOI)" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "data_year", "json_type": "integer", "description": "Calendar year measured; not publication or verification year.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2023" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "ownership", "json_type": "string", "description": "Ownership.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Private industry" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "naics_code", "json_type": "string", "description": "Industry classification code, retained as text; an aggregate contains its own children.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "industry", "json_type": "string", "description": "Industry.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "oiics_version", "json_type": "string", "description": "Oiics version.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "3.0" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "event_or_exposure", "json_type": "string", "description": "Event or exposure.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Total fatal occupational injuries" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "fatal_injuries", "json_type": "integer", "description": "CFOI fatal occupational injuries, separate from SOII estimates.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "28" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "unit", "json_type": "string", "description": "Unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "fatal occupational injuries" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "value_status", "json_type": "string", "description": "Publication/missingness reason. Unknown is never zero.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "published" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "source_url", "json_type": "string", "description": "Primary-source URL for source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/fatal-injuries-tables/fatal-occupational-injuries-table-a-1-2023.htm" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Table A-1 (2023), Private industry > Warehousing and storage; Total fatal occupational injuries column" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "fatal_injuries_2023_2024", "filename": "warehouse-fatal-injuries-2023-2024.csv", "field": "naics_edition", "json_type": "string", "description": "Edition labeled by the cited source; not a claim about every agency table.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2022" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "authority", "json_type": "string", "description": "Authority.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "BLS Survey of Occupational Injuries and Illnesses" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "instrument", "json_type": "string", "description": "Instrument.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Industry classification used for published injury statistics (NAICS 2017)" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "effective_or_data_date", "json_type": "string", "description": "Effective or data date.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2024 data year" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "covered_employer_size", "json_type": "string", "description": "Covered employer size.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "250+ employees at one distribution center, or 1,000+ statewide" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "naics_code", "json_type": "string", "description": "Industry classification code, retained as text; an aggregate contains its own children.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "naics_title", "json_type": "string", "description": "Naics title.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "status", "json_type": "string", "description": "Status.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "included" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "note", "json_type": "string", "description": "Note.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Industry classification is by establishment activity, not parent-company ownership; 493 contains the four listed industries." }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "source_url", "json_type": "string", "description": "Primary-source URL for source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iag/tgs/iag493.htm" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "definition_crosswalk", "filename": "warehouse-definition-crosswalk.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Industry definition; auxiliary-unit paper for establishment classification; annual SOII Table 1 footnote 3 for edition" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "naics_code", "json_type": "string", "description": "Industry classification code, retained as text; an aggregate contains its own children.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493110" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "industry", "json_type": "string", "description": "Industry.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "General warehousing and storage" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "rate_2021", "json_type": "number", "description": "Rate 2021.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "5.6" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "rate_2022", "json_type": "number", "description": "Rate 2022.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "5.7" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "rate_2023", "json_type": "number", "description": "Rate 2023.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "4.8" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "published_30pct_above_line", "json_type": "number", "description": "Minnesota agency posted threshold column based on 2023, NOT a current legal determination.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "6.24" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "recomputed_30pct_above_line", "json_type": "number", "description": "Our arithmetic: rate_2023 multiplied by 1.3.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "6.24" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "recomputation_matches", "json_type": "string", "description": "Recomputation matches.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "yes" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "rate_unit", "json_type": "string", "description": "Rate unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "cases per 100 full-time-equivalent workers" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR / CA" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "source_url", "json_type": "string", "description": "Primary-source URL for source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://dli.mn.gov/about-department/rulemaking/mnosha-compliance-warehouse-workers" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Minnesota agency table of national industry benchmarks" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "data_period", "json_type": "string", "description": "Measured period; combined years are not annual counts.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2021; 2022; 2023" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "threshold_basis_year", "json_type": "integer", "description": "Threshold basis year.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2023" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "agency_page_last_updated", "json_type": "string", "description": "Agency page last updated.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2025-09-04" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Published BLS industry rates table, 2021-2023; 30% above column" }, { "table": "minnesota_trigger", "filename": "warehouse-minnesota-trigger.csv", "field": "note", "json_type": "string", "description": "Note.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Reproduces the posted 2023-basis table, not a determination of the currently applicable statutory threshold. Section 182.6526 subd.5 requires matching the appropriate year and NAICS." }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "breakdown", "json_type": "string", "description": "Breakdown.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "industry" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "category", "json_type": "string", "description": "Category.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage, all public warehouses" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "data_year", "json_type": "integer", "description": "Calendar year measured; not publication or verification year.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "1952" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "injury_frequency_rate_per_million_hours", "json_type": "number", "description": "Historical disabling-injury frequency per 1,000,000 employee-hours.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "36.4" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "converted_rate_per_100_fte", "json_type": "number", "description": "Legacy field name: historical DISABLING injuries per 200,000 employee-hours; not a modern SOII rate.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "7.28" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "conversion_formula", "json_type": "string", "description": "Conversion formula.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "frequency_rate * 200000 / 1000000" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "measure_definition", "json_type": "string", "description": "Measure definition.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Disabling work injuries, including fatal and permanent-impairment cases, under the American Standards Association method approved in 1945" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "note", "json_type": "string", "description": "Note.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Latest final year in the bulletin" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR / CA" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "source", "json_type": "string", "description": "Source.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "BLS Bulletin No. 1174, Injuries and Accident Causes in Warehousing Operations, January 1955" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "source_url", "json_type": "string", "description": "Primary-source URL for source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://fraser.stlouisfed.org/files/docs/publications/bls/bls_1174_1955.pdf" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "record_id", "json_type": "string", "description": "Stable identifier for the source-linked observation.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "b1174-1952-01" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "original_unit", "json_type": "string", "description": "Original unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "disabling work injuries per 1,000,000 employee-hours" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "converted_unit", "json_type": "string", "description": "Converted unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "disabling work injuries per 200,000 employee-hours; unit conversion only, not a modern SOII case definition" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "population", "json_type": "string", "description": "Population.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage industry/public warehouses, including supplementary operations; historical BLS industry series" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Printed p.1, industry frequency narrative" }, { "table": "bulletin_1174_1950", "filename": "warehouse-injury-1950-bulletin-1174.csv", "field": "value_status", "json_type": "string", "description": "Publication/missingness reason. Unknown is never zero.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "published" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "calculation_id", "json_type": "string", "description": "Stable identifier for a derived finding.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "trc_ratio_2024" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "finding", "json_type": "string", "description": "Finding.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing recordable rate compared with all private industry" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "unit", "json_type": "string", "description": "Unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "ratio" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "formula", "json_type": "string", "description": "Formula.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493 rate / private-industry rate" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "inputs", "json_type": "string", "description": "Numeric source inputs or clearly labeled hypothetical inputs used in the formula.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "4.8 / 2.3" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "note", "json_type": "string", "description": "Note.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Both rates are published and rounded to one decimal by BLS." }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "CA" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "data_period", "json_type": "string", "description": "Measured period; combined years are not annual counts.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2024" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "population", "json_type": "string", "description": "Population.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "U.S. private-industry warehousing and storage (NAICS 493) and the named comparison population" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "value", "json_type": "number", "description": "Reported number or scalar calculated output as labeled by evidence_mark; interval outputs use range_low/high.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2.0869565217" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "range_low", "json_type": "number", "description": "Calculated interval lower endpoint; null for scalar findings.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "4.640064" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "range_high", "json_type": "number", "description": "Calculated interval upper endpoint; null for scalar findings.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "4.959936" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "input_record_ids", "json_type": "string", "description": "Input record ids.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "soii-2024-493-trc" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "source_urls", "json_type": "string", "description": "Source urls.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2022-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm ; https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Named source rows and case categories; numeric inputs and formula given in this record" }, { "table": "calculations", "filename": "warehouse-injury-calculations.csv", "field": "publish_status", "json_type": "string", "description": "Publish status.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "publishable" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "record_id", "json_type": "string", "description": "Stable identifier for the source-linked observation.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "sector-2024-493" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "data_year", "json_type": "integer", "description": "Calendar year measured; not publication or verification year.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "2024" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "ownership", "json_type": "string", "description": "Ownership.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Private industry" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "naics_code", "json_type": "string", "description": "Industry classification code, retained as text; an aggregate contains its own children.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "493" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "industry", "json_type": "string", "description": "Industry.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Warehousing and storage" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "case_type", "json_type": "string", "description": "Case type.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "TRC" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "estimated_cases", "json_type": "integer", "description": "BLS estimated nonfatal injury AND illness cases; published thousands multiplied by 1,000.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "77000" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "rate", "json_type": "number", "description": "Published case incidence rate; see rate_unit and case_definition.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "4.8" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "rate_unit", "json_type": "string", "description": "Rate unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "cases per 100 full-time-equivalent workers" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "count_unit", "json_type": "string", "description": "Count unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "nonfatal injury and illness cases" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "rate_source_url", "json_type": "string", "description": "Primary-source URL for rate source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-1-injury-and-illness-rates-by-industry-2024-national.htm" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "count_source_url", "json_type": "string", "description": "Primary-source URL for count source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/iif/nonfatal-injuries-and-illnesses-tables/table-2-injury-and-illness-counts-by-industry-2024-national.htm" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Private industry, named industry row, Total recordable cases" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR" }, { "table": "sector_comparison_2024", "filename": "warehouse-industry-comparison-2024.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "record_id", "json_type": "string", "description": "Stable identifier for the source-linked observation.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "soii-2023-24-overexertion" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "measure", "json_type": "string", "description": "Measure.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "DART cases: overexertion, repetitive motion and bodily conditions" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "value", "json_type": "number", "description": "Reported number or scalar calculated output as labeled by evidence_mark; interval outputs use range_low/high.", "missing_value_rule": "CSV blank / JSON null means unknown or not applicable; consult the status and note fields.", "example": "946290" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "unit", "json_type": "string", "description": "Unit.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "nonfatal injury and illness cases" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "data_period", "json_type": "string", "description": "Measured period; combined years are not annual counts.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2023-2024 combined" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "geography", "json_type": "string", "description": "Geography.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "United States" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "population", "json_type": "string", "description": "Population.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "All private industry" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "source_url", "json_type": "string", "description": "Primary-source URL for source", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "https://www.bls.gov/news.release/osh.nr0.htm" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "source_locator", "json_type": "string", "description": "Exact table, named row/category or statutory provision supporting the record.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Case circumstances section" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "note", "json_type": "string", "description": "Note.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "Not annual; not warehouse-specific" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "evidence_mark", "json_type": "string", "description": "SR = source-reported; CA = calculated. Mixed rows identify their calculated fields.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "SR" }, { "table": "context_figures", "filename": "warehouse-injury-context-figures.csv", "field": "verified_date", "json_type": "string", "description": "Date source evidence was checked, not a claim that a deployment ran.", "missing_value_rule": "Blank means not applicable or not supplied; do not infer a value.", "example": "2026-09-17" } ] }, "last_verified": "2026-09-17", "creator": "Uptime Dock & Door", "editorial_byline": "Uptime Dock & Door Research", "files": { "benchmarks_2022_2024": "warehouse-injury-benchmarks-2022-2024.csv", "fatal_injuries_2023_2024": "warehouse-fatal-injuries-2023-2024.csv", "definition_crosswalk": "warehouse-definition-crosswalk.csv", "minnesota_trigger": "warehouse-minnesota-trigger.csv", "bulletin_1174_1950": "warehouse-injury-1950-bulletin-1174.csv", "calculations": "warehouse-injury-calculations.csv", "sector_comparison_2024": "warehouse-industry-comparison-2024.csv", "context_figures": "warehouse-injury-context-figures.csv", "data_dictionary": "warehouse-injury-data-dictionary.csv" }, "table_row_counts": { "benchmarks_2022_2024": 90, "fatal_injuries_2023_2024": 20, "definition_crosswalk": 26, "minnesota_trigger": 5, "bulletin_1174_1950": 39, "calculations": 30, "sector_comparison_2024": 8, "context_figures": 13, "data_dictionary": 146 } }