Farming, Fishing, and Forestry Employment and Wages

This feature service contains employment and wage data for detailed farming, fishing, and forestry occupations by nation, state, and metropolitan and nonmetropolitan areas. Data from Bureau of Labor Statistics' (BLS) Occupation Employment Statistics (OES) series. Data vintage: May 2018. Boundary files came from U.S. Census Bureau's 2018 Cartographic Boundary Files. Nonmetropolitan areas were constructed based on BLS' May 2018 Area Definitions. A few Frequently Asked Questions from BLS' OES FAQ site: How are "employees" defined by the OES Survey? "Employees" are all part-time and full-time workers who are paid a wage or salary. The survey does not cover the self-employed, owners and partners in unincorporated firms, household workers, or unpaid family workers. Do OES wage estimates include benefits? No. OES wage estimates represent wages and salaries only, and do not include nonproduction bonuses or employer costs of nonwage benefits, such as health insurance or employer contributions to retirement plans. Information on cost of benefits, benefit incidence, and detailed plan provisions is available from the National Compensation Survey program. Why does the sum of the areas within a state not equal the statewide employment? The sum of the areas may differ from statewide employment for several reasons: Rounding The totals include data items that are not released separately due to confidentiality and quality reasons. Many States include metropolitan areas that cross State lines. These cross-State metropolitan area estimates include data from each State, which should not be included in a total for a single State. A small number of establishments indicate the State in which their employees are located, but do not indicate the specific metropolitan or nonmetropolitan area in which they are located. Data for these establishments are used in the calculation of the statewide estimates, but are not included in the estimates of any individual area. Why don't the major group or "all occupations" employment totals equal the sum of the employment estimates for the detailed occupations? The major group and "all occupations" totals may include detailed occupations for which separate employment estimates could not be published. As a result, employment totals at the major group and "all occupations" levels may be greater than the sum of employment estimates for the detailed occupations. Because the major group employment totals include employment for the detailed occupations in that group, summing across both detailed occupations and major groups will result in double counting of occupational employment.本要素服务包含按国家、州级以及都市和非都市区划分的细分农业、渔业和林业职业就业与薪资数据。本数据源自美国劳工统计局（Bureau of Labor Statistics, BLS）职业就业统计（Occupation Employment Statistics, OES）系列，数据年代为2018年5月。边界文件源自美国人口普查局（U.S. Census Bureau）2018年制图边界文件，非都市区的划分基于BLS 2018年5月的区域定义标准。以下为BLS OES官网常见问题节选： 1. OES调查如何定义“雇员”？ 答：“雇员”指所有以计时或计件方式领取薪资的全职与兼职劳动者。本调查不涵盖个体经营者、非法人企业的所有者与合伙人、家政工人以及无报酬的家庭帮工。 2. OES薪资估算是否包含福利？ 答：否。OES薪资估算仅涵盖工资与薪金，不包含非生产性奖金或雇主承担的非薪资类福利成本（如医疗保险或雇主为退休计划缴纳的款项）。关于福利成本、福利发生率及详细计划条款的相关信息，可从全国薪酬调查（National Compensation Survey）项目获取。 3. 为何某一州内各区域的就业数据总和与全州就业数据不一致？ 答：出现这一差异的原因主要包括以下几点：一是数据舍入误差；二是出于保密与质量管控要求，部分数据未单独发布，此类数据已计入全州总就业数据中；三是许多州的都会区域存在跨州边界的情况，此类跨州都会区域的估算数据包含了跨州的就业信息，不应被计入单一州的总就业数据中；四是少量企业仅标注了雇员所属州，却未指明具体的都市或非都市区，此类企业的就业数据被用于全州就业估算，但未被计入任何单个区域的就业数据中。 4. 为何大类职业或“所有职业”的就业总数据与细分职业的就业估算数据之和不一致？ 答：大类职业及“所有职业”的总数据可能包含了无法单独发布就业估算的细分职业。因此，大类职业与“所有职业”层级的就业总数据可能高于细分职业就业估算数据之和。由于大类职业的就业总数据已涵盖该类别下所有细分职业的就业情况，若同时对细分职业与大类职业的就业数据进行求和，将会导致职业就业数据重复计算。