This statistic depicts the distribution of educational attainment level among employees in the accommodation and food services industry in Australia as of *************. As of this date, approximately ** percent of employees in this industry did not hold any post school qualifications.

This paper investigates the occupational choices of African American youth in U.S. agricultural and food sectors. Using nationally representative data from the American Community Survey, we estimate a multinomial logit model to assess how socioeconomic conditions influence employment in three occupational categories: farming, farm-related work, and food preparation. Results reveal that agricultural employment among African American youth remains rare, and that gender is a strong predictor of occupational choice. Young African American women are significantly less likely than men to work in farming or related sectors, and more likely to be employed in food preparation. Educational attainment and student status are positively associated with food service employment but do not predict participation in farming occupations. These findings have important implications for agricultural policy, particularly as policymakers seek to address demographic disparities and revitalize the rural workforce. The results highlight the need for youth-specific policies, including targeted outreach, farm incubator programs, and access to capital, that address the compounded barriers facing youth in agricultural employment.

See notice below about this dataset

This dataset provides the average annual earnings by industry per district.

Wage records are obtained from the Massachusetts Department of Unemployment Assistance (DUA) using a secure, anonymized matching process with limitations. For details on the process and suppression rules, please visit the Employment and Earnings of High School Graduates dashboard.

This dataset is one of three containing the same data that is also published in the Employment and Earnings of High School Graduates dashboard: Average Earnings by Student Group Average Earnings by Industry College and Career Outcomes

List of Industries

• 00 - All Students
• 11 - Agriculture, Forestry, Fishing and Hunting
• 21 - Mining, Quarrying, and Oil and Gas Extraction
• 22 - Utilities
• 23 - Construction
• 31 - Manufacturing
• 42 - Wholesale Trade
• 44 - Retail Trade
• 48 - Transportation and Warehousing
• 51 - Information
• 52 - Finance and Insurance
• 53 - Real Estate and Rental and Leasing
• 54 - Professional, Scientific, and Technical Services
• 55 - Management of Companies and Enterprises
• 56 - Administrative and Support and Waste Management and Remediation Services
• 61 - Educational Services
• 62 - Health Care and Social Assistance
• 71 - Arts, Entertainment, and Recreation
• 72 - Accommodation and Food Services
• 81 - Other Services (except Public Administration)
• 92 - Public Administration
• 0 - No Industry Reported

The data link between high school graduates and future earnings makes it possible to follow students beyond high school and college into the workforce, enabling long-term evaluation of educational programs using workforce outcomes.

While DESE has published these data in the past, as of June 2025 we are temporarily pausing updates due to an issue conducting the link that was brought to our attention in 2023 by a team of researchers. The issue impacts the earnings information for students who never attended a postsecondary institution or who only attended private or out-of-state colleges or universities, beginning with the 2017 high school graduation cohort, with growing impact in each successive high school graduation cohort.

The issue does not impact the earnings information for students who attended a Massachusetts public institution of higher education, and earnings data for those students will continue to be updated.

Once a solution is found, the past cohorts of data with low match rates will be updated. DESE and partner agencies are exploring linking strategies to maximize the utility of the information.

More detailed information can be found in the attached memo provided by the research team from the Annenberg Institute. We thank them for calling this issue to our attention.

"The Statistical Abstract is the nation's best known and most popular single source of statistics on the social, political, and economic organization of the country. The print version has been published since 1878, and a compact disc version has been available since 1993. Both are designed to serve as a convenient, easy-to-use statistical reference source and guide to statistical publications and sources. The extensive selection of statistics is provided for the United States, with selected d ata for regions, divisions, states, metropolitan areas, cities, and foreign countries from reports and records of government and private agencies. Software on the disc can be used to perform full-text searches, view official statistics, open tables as Lotus worksheets or Excel workbooks, and link directly to source agencies and organizations for supporting information. The disc contains over 1,500 tables from over 250 different governmental, private, and international organizations. Some of the topics are population; vital statistics; health and nutrition; education; law enforcement, courts and prison; geography and environment; elections; state and local government; federal government finances and employment; national defense and veterans affairs; social insurance and human services; labor force, employment, and earnings; income, expenditures, and wealth; prices; business enterprise; science and technology; agriculture; natural resources; energy; construction and housing; manufactures; domestic trade and services; transportation; information and communication; banking, finance, and insurance; arts, entertainment, and recreation; accommodation, food services, and other services; foreign commerce and aid; outlying areas; and comparative international statistics. Significant changes in the 2002 data include new data from the 2000 census and new tables that include data covering resident population's migration status, educational attainment, disability status, ancestry, place of birth, and language spoken at home as well as househol d income, poverty, and selected housing characteristics from the sample portion of the 2000 census. New tables cover topics such as unmarried households, state children's health insurance programs, limitation of activity level caused by chronic conditions, characteristics of homeschooled children, firearm-use offenders, home- based work and flexible work by workers, computer use in the workplace, employee benefits, and computer and Internet use." Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

Release Date: 2021-08-26.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).Number of employees.Response coverage of franchise inquiry (%)..Each record includes a code which represents the franchise status of the establishment...For Wholesale Trade (42), data are published by Type of Operation (All Establishments) only...For Professional, Scientific, and Technical Services (54), Educational Services (61), Health Care and Social Assistance (62), Arts, Entertainment, and Recreation (71), and Other Services (except Public Administration) (81), data are published by Tax Status (All Establishments) only...Geography Coverage:.The data are shown for employer establishments of firms at the U.S. level for the Construction (23), Manufacturing (31-33), Wholesale Trade (42), Retail Trade (44-45), Transportation and Warehousing (48-49), Information (51), Finance and Insurance (52), Real Estate and Rental and Leasing (53), Professional, Scientific, and Technical Services (54), Administrative and Support and Waste Management and Remediation Services (56), Educational Services (61), Health Care and Social Assistance (62), Arts, Entertainment, and Recreation (71), Accommodation and Food Services (72) (also published at the state level for NAICS codes 722511 and 722513), and Other Services (except Public Administration) (81) sectors. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at selected 6-digit 2017 NAICS code levels for selected industries including Construction (23), Manufacturing (31-33), Wholesale Trade (42), Retail Trade (44-45), Transportation and Warehousing (48-49), Information (51), Finance and Insurance (52), Real Estate and Rental and Leasing (53), Professional, Scientific, and Technical Services (54), Administrative and Support and Waste Management and Remediation Services (56), Educational Services (61), Health Care and Social Assistance (62), Arts, Entertainment, and Recreation (71), Accommodation and Food Services (72), and Other Services (except Public Administration) (81). For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700FRAN.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...The data shown in this report for both the Construction (23) and Manufacturing (31-33) Sectors between the 2017 Economic Census and 2012 Economic Census may not be comparable due to a change in tabulation methodology. The 2012 Economic Census for these sectors did not adjust to account for non-response records. ..To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols,...

"Enrollment counts are based on the October 31 Audited Register for the 2017-18 to 2019-20 school years. To account for the delay in the start of the school year, enrollment counts are based on the November 13 Audited Register for 2020-21 and the November 12 Audited Register for 2021-22. * Please note that October 31 (and November 12-13) enrollment is not audited for charter schools or Pre-K Early Education Centers (NYCEECs). Charter schools are required to submit enrollment as of BEDS Day, the first Wednesday in October, to the New York State Department of Education." Enrollment counts in the Demographic Snapshot will likely exceed operational enrollment counts due to the fact that long-term absence (LTA) students are excluded for funding purposes. Data on students with disabilities, English Language Learners, students' povery status, and students' Economic Need Value are as of the June 30 for each school year except in 2021-22. Data on SWDs, ELLs, Poverty, and ENI in the 2021-22 school year are as of March 7, 2022. 3-K and Pre-K enrollment totals include students in both full-day and half-day programs. Four-year-old students enrolled in Family Childcare Centers are categorized as 3K students for the purposes of this report. All schools listed are as of the 2021-22 school year. Schools closed before 2021-22 are not included in the school level tab but are included in the data for citywide, borough, and district. Programs and Pre-K NYC Early Education Centers (NYCEECs) are not included on the school-level tab. Due to missing demographic information in rare cases at the time of the enrollment snapshot, demographic categories do not always add up to citywide totals. Students with disabilities are defined as any child receiving an Individualized Education Program (IEP) as of the end of the school year (or March 7 for 2021-22). NYC DOE "Poverty" counts are based on the number of students with families who have qualified for free or reduced price lunch, or are eligible for Human Resources Administration (HRA) benefits. In previous years, the poverty indicator also included students enrolled in a Universal Meal School (USM), where all students automatically qualified, with the exception of middle schools, D75 schools and Pre-K centers. In 2017-18, all students in NYC schools became eligible for free lunch. In order to better reflect free and reduced price lunch status, the poverty indicator does not include student USM status, and retroactively applies this rule to previous years. "The school’s Economic Need Index is the average of its students’ Economic Need Values. The Economic Need Index (ENI) estimates the percentage of students facing economic hardship. The 2014-15 school year is the first year we provide ENI estimates. The metric is calculated as follows: * The student’s Economic Need Value is 1.0 if: o The student is eligible for public assistance from the NYC Human Resources Administration (HRA); o The student lived in temporary housing in the past four years; or o The student is in high school, has a home language other than English, and entered the NYC DOE for the first time within the last four years. * Otherwise, the student’s Economic Need Value is based on the percentage of families (with school-age children) in the student’s census tract whose income is below the poverty level, as estimated by the American Community Survey 5-Year estimate (2020 ACS estimates were used in calculations for 2021-22 ENI). The student’s Economic Need Value equals this percentage divided by 100.

Due to differences in the timing of when student demographic, address and census data were pulled, ENI values may vary, slightly, from the ENI values reported in the School Quality Reports.

In previous years, student census tract data was based on students’ addresses at the time of ENI calculation. Beginning in 2018-19, census tract data is based on students’ addresses as of the Audited Register date of the given school year.

In previous years, the most recent new entry date was used for students with multiple entry dates into the NYCDOE. Beginning in 2018-19, students’ earliest entry date is used in ENI calculations.

Beginning in 2018-19, students missing ENI data are imputed with the average ENI at their school. " In order to maintain student privacy, schools with % Poverty and ENI values below 5% or above 95% have had their exact values for each category replaced with "Below 5%" and "Above 95%", respectively. Before the start of the 2017-18 school year, the New York State Education Department implemented a new data matching process that refined the methods to identify families eligible for free lunch. This new matching system provides a more efficient and accurate process for matching students across a range of forms that families already complete. This new matching process yielded an increase in the number of students directly certified for free lunch (in other words, matched to another government program) and therefore increased the direct certification rate. As such, the increase in the percent of students in poverty and the Economic Need Index for the 2017-18 school year and later reflects this new matching process, which allows the City to better identify students eligible for free lunch. Approximately 25% of charter schools in NYC do not use NYC DOE School Food to provide meal services. The NYC DOE Office of School Food does not collect documentation on students’ eligibility for Free or Reduced Price Lunch from schools that do not utilize NYC DOE School Food. As a result, the Poverty figures may be understated for approximately 25% of charter schools. New York State Education Department begins administering assessments to be identified as an English Language Learner (ELL) in Kindergarten, but students in Pre-K are still included in the denominator for the ELL calculations. Also, Pre-K NYC Early Education Centers do not use NYC DOE School Food to provide meal services, but are included in the denominator for Poverty calculations.

To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

Time series data for the statistic Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%) and country Afghanistan. Indicator Definition:Current expenditure other than for staff compensation expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure other than for staff compensation includes expenditure on school books and teaching materials, ancillary services (ex. food, transport), and administration and other support activities. Divide current expenditure other than staff compensation in public institutions of a given level of education (ex. primary, secondary, or all levels combined) by total expenditure (current and capital) in public institutions of the same level of education, and multiply by 100. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/The indicator "Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%)" stands at 7.35 as of 12/31/2017, the highest value since 12/31/2014. Regarding the One-Year-Change of the series, the current value constitutes an increase of 21.64 percent compared to the value the year prior.The 1 year change in percent is 21.64.The 3 year change in percent is 11.28.The 5 year change in percent is -9.13.The Serie's long term average value is 6.97. It's latest available value, on 12/31/2017, is 5.43 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2016, to it's latest available value, on 12/31/2017, is +21.64%.The Serie's change in percent from it's maximum value, on 12/31/2012, to it's latest available value, on 12/31/2017, is -9.13%.

Time series data for the statistic Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%) and country Sierra Leone. Indicator Definition:Current expenditure other than for staff compensation expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure other than for staff compensation includes expenditure on school books and teaching materials, ancillary services (ex. food, transport), and administration and other support activities. Divide current expenditure other than staff compensation in public institutions of a given level of education (ex. primary, secondary, or all levels combined) by total expenditure (current and capital) in public institutions of the same level of education, and multiply by 100. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/The indicator "Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%)" stands at 44.73 as of 12/31/2019, the highest value at least since 12/31/2008, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4.72 percent compared to the value the year prior.The 1 year change in percent is 4.72.The 3 year change in percent is 76.55.The 10 year change in percent is 661.44.The Serie's long term average value is 18.30. It's latest available value, on 12/31/2019, is 144.51 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2008, to it's latest available value, on 12/31/2019, is +10,877.83%.The Serie's change in percent from it's maximum value, on 12/31/2019, to it's latest available value, on 12/31/2019, is 0.0%.

Time series data for the statistic Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%) and country Iceland. Indicator Definition:Current expenditure other than for staff compensation expressed as a percentage of direct expenditure in public educational institutions (instructional and non-instructional) of the specified level of education. Financial aid to students and other transfers are excluded from direct expenditure. Current expenditure other than for staff compensation includes expenditure on school books and teaching materials, ancillary services (ex. food, transport), and administration and other support activities. Divide current expenditure other than staff compensation in public institutions of a given level of education (ex. primary, secondary, or all levels combined) by total expenditure (current and capital) in public institutions of the same level of education, and multiply by 100. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/The indicator "Current expenditure other than staff compensation as % of total expenditure in lower secondary public institutions (%)" stands at 27.16 as of 12/31/2017. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -2.07 percent compared to the value the year prior.The 1 year change in percent is -2.07.The 3 year change in percent is -8.16.The 5 year change in percent is -0.382.The 10 year change in percent is 37.29.The Serie's long term average value is 23.31. It's latest available value, on 12/31/2017, is 16.51 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2010, to it's latest available value, on 12/31/2017, is +50.04%.The Serie's change in percent from it's maximum value, on 12/31/2013, to it's latest available value, on 12/31/2017, is -8.78%.