Part Time Employment in Australia decreased to -17034 Persons in February from -6488 Persons in January of 2025. This dataset provides - Australia Part Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Australia Employment: Part Time: Trend: Males data was reported at 1,532.849 Person th in Jan 2025. This records an increase from the previous number of 1,525.878 Person th for Dec 2024. Australia Employment: Part Time: Trend: Males data is updated monthly, averaging 712.530 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,532.849 Person th in Jan 2025 and a record low of 190.642 Person th in Feb 1978. Australia Employment: Part Time: Trend: Males data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G031: Employment: by State and Sex: Part Time.

Australia Employment: Part Time: Trend: Females data was reported at 3,000.036 Person th in Jan 2025. This records an increase from the previous number of 2,993.206 Person th for Dec 2024. Australia Employment: Part Time: Trend: Females data is updated monthly, averaging 1,799.697 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 3,000.036 Person th in Jan 2025 and a record low of 714.170 Person th in Feb 1978. Australia Employment: Part Time: Trend: Females data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G031: Employment: by State and Sex: Part Time.

Australia Unemployment: Trend: Looking for Part Time Work data was reported at 198.469 Person th in Jan 2025. This records a decrease from the previous number of 198.939 Person th for Dec 2024. Australia Unemployment: Trend: Looking for Part Time Work data is updated monthly, averaging 151.997 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 242.166 Person th in Nov 2020 and a record low of 61.285 Person th in Aug 1978. Australia Unemployment: Trend: Looking for Part Time Work data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G033: Unemployment. Unemployed looking for part time work are those who actively looked for part time work only or were waiting to start a new part time job.

Snapshot img

Staffing Services Market Size 2024-2028

The staffing services market size is forecast to increase by USD 236.6 billion at a CAGR of 6.53% between 2023 and 2028. The market is experiencing significant growth, driven by several key factors. Firstly, the increasing demand for jobs in the labor market continues to fuel the need for staffing services. Secondly, the trend towards remote work and hybrid models has created new opportunities for staffing firms to provide flexible workforce solutions. Lastly, regulatory compliance is a mandatory consideration for staffing services, ensuring adherence to labor laws and industry standards. These factors, among others, are shaping the market landscape and presenting both opportunities and challenges for staffing providers. By staying abreast of these trends and regulatory requirements, staffing firms can effectively meet the evolving needs of their clients and candidates.

What will the size of the market be during the forecast period?

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The market encompasses various types of employment arrangements including Contract Staffing and Temporary Staffing. Recruitment agencies play a vital role in providing Employees for businesses, especially for Skilled Candidates who are in high demand. Fixed-term Contracts, Casual Work, and Seasonal Work are common staffing solutions for businesses with fluctuating Workforce Requirements. Online Recruitment has become increasingly popular due to its Cost-effective Hiring benefits and the ability to access a vast Talent Pool. In today's business environment, Staffing Services have become essential for various industries, especially Healthcare, where staff shortages can have serious consequences. Unemployment rates and Business activity influence the demand for Staffing Services. Staffing factoring services and Online factoring platforms offer financial solutions to help businesses manage cash flow during Client payment delays and High client turnover. FinTech companies are revolutionizing the Staffing Services industry with Automated processes, Digital payment solutions, and Blockchain technology. Non-recourse factoring is a popular financing option for businesses. The Staffing Services Market is also witnessing the emergence of Cross-Border Recruitment, Job Opportunities, and Talent Mobility. Job Vacancies and Staffing Needs continue to shape the market, with detailed Job Descriptions guiding the recruitment process.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Temporary staffing
  Permanent placement
  Contract staffing
  Outsourced recruitment
  Executive search


End-user

  Information technology
  Healthcare
  Manufacturing
  Finance and accounting
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    Japan


  South America



  Middle East and Africa

By Type Insights

The temporary staffing segment is estimated to witness significant growth during the forecast period.The temporary staffing sector holds a substantial share in The market in 2023. This segment caters to the temporary hiring demands of organizations due to short-term projects or seasonal fluctuations. Temporary staffing encompasses a range of jobs, from entry-level positions to specialized roles, across industries such as healthcare, manufacturing, IT, and finance. Key players in The market, including ManpowerGroup, Randstad N.V., and Adecco Group, provide temporary staffing solutions for various industries. ManpowerGroup simplifies the recruitment process for firms of all sizes with their hassle-free temporary staffing offerings. Randstad N.V. Offers flexible hiring options, enabling companies to optimize hiring costs and efficiently onboard skilled professionals in response to changing business and client needs for a limited period.

Financial services, such as recourse factoring, can support staffing agencies in managing their working capital requirements during the staffing process. Regulatory oversight ensures that these services are provided ethically and in compliance with industry standards.

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The Temporary staffing segment accounted for USD 192.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

APAC is estimated to contribute 33% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free Sample

In North America, the market experienced significant growth in 2023, with a

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Train township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Train township, the median income for all workers aged 15 years and older, regardless of work hours, was $45,650 for males and $21,181 for females.

These income figures highlight a substantial gender-based income gap in Au Train township. Women, regardless of work hours, earn 46 cents for each dollar earned by men. This significant gender pay gap, approximately 54%, underscores concerning gender-based income inequality in the township of Au Train township.

- Full-time workers, aged 15 years and older: In Au Train township, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,500, while females earned $42,350, leading to a 32% gender pay gap among full-time workers. This illustrates that women earn 68 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Au Train township, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Train township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Sable town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Sable town, the median income for all workers aged 15 years and older, regardless of work hours, was $57,063 for males and $37,022 for females.

These income figures highlight a substantial gender-based income gap in Au Sable town. Women, regardless of work hours, earn 65 cents for each dollar earned by men. This significant gender pay gap, approximately 35%, underscores concerning gender-based income inequality in the town of Au Sable town.

- Full-time workers, aged 15 years and older: In Au Sable town, among full-time, year-round workers aged 15 years and older, males earned a median income of $73,646, while females earned $56,721, leading to a 23% gender pay gap among full-time workers. This illustrates that women earn 77 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Au Sable town.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable town median household income by race. You can refer the same here

Australia Unemployment: Trend: Looking for Part Time Work: Males data was reported at 86.139 Person th in Jan 2025. This records a decrease from the previous number of 87.064 Person th for Dec 2024. Australia Unemployment: Trend: Looking for Part Time Work: Males data is updated monthly, averaging 55.666 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 98.656 Person th in Mar 2021 and a record low of 13.572 Person th in Jul 1978. Australia Unemployment: Trend: Looking for Part Time Work: Males data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G033: Unemployment. Unemployed looking for part time work are those who actively looked for part time work only or were waiting to start a new part time job.

Employment Rate in Australia decreased to 64.10 percent in February from 64.40 percent in January of 2025. This dataset provides - Australia Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Temporary staff service firms are susceptible to changes in the national unemployment rate, with lower unemployment contributing to greater demand for temporary staff in recent years. Performance trends in client markets also affect temporary staffing firms, including a recent expansion in business outsourcing that’s lifted demand. Climbing demand from several downstream markets, including the professional services and healthcare sectors, has benefited temporary staffing firms. The pandemic disrupted the industry, causing revenue to drop slightly in 2019-20 and plummet in 2020-21. A surge in unemployment over these years reduced demand from several downstream sectors. More recently, a relatively low unemployment rate, expansion in the labour force and a recovery in several downstream markets have supported demand for temporary staffing services. Even so, negative business confidence and an elevated interest rate environment have dampened some demand for temporary staff as wary businesses limit expansionary projects. Nevertheless, greater demand for flexible workforces has contributed to rising profit margins in line with revenue hikes. Overall, industry revenue is expected to inch upwards at an annualised 0.7% over the five years through 2024-25, to total $42.1 billion. Despite this growth over time, a hike in the national unemployment rate and a slump in demand from financial and insurance services firms have weighed on demand for temporary staff services, pushing revenue down by an anticipated 3.6% in 2024-25. Looking forwards, revenue for temporary staff services is on track to continue climbing. The professional services, finance and healthcare sectors are set to remain key markets. Business confidence is poised to improve and become positive in the next few years, fuelling downstream markets' expansionary activities. Even so, government budget cuts will strip some revenue away from temporary staff service firms, aiming to bring these functions in-house and reduce spending on contractors and temporary staff. Nevertheless, industry revenue is projected to strengthen at an annualised 1.2% over the five years through 2029-30, to reach $44.7 billion.

Unemployment Rate in Australia remained unchanged at 4.10 percent in February. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Sable township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Sable township, the median income for all workers aged 15 years and older, regardless of work hours, was $32,917 for males and $20,313 for females.

These income figures highlight a substantial gender-based income gap in Au Sable township. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the township of Au Sable township.

- Full-time workers, aged 15 years and older: In Au Sable township, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,750, while females earned $88,750

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.51 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Sable charter township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Sable charter township, the median income for all workers aged 15 years and older, regardless of work hours, was $27,307 for males and $22,779 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Au Sable charter township. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetownship of Au Sable charter township.

- Full-time workers, aged 15 years and older: In Au Sable charter township, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,807, while females earned $40,100, leading to a 28% gender pay gap among full-time workers. This illustrates that women earn 72 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Au Sable charter township, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/au-sable-charter-township-mi-income-by-gender.jpeg" alt="Au Sable charter Township, Michigan gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable charter township median household income by gender. You can refer the same here

Summary results of the monthly Labour Force Survey containing estimates of employed and unemployed persons classified by sex, full-time/part-time status, states and territories and some age groups; and persons not in the labour force. The monthly spreadsheets contain broad level data covering all the major items of the Labour Force Survey in time series format, including seasonally adjusted and trend estimates.

This dataset presents information about total income. The data covers the financial years 2011-12 to 2017-18, and is based on Greater Capital City Statistical Areas (GCCSA) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Total Income is the sum of all reported income derived from Employee income, Own unincorporated business, Superannuation, Investments and Other income. Total income does not include the non-lodger population.

Government pensions, benefits or allowances are excluded from the Australian Bureau of Statistics (ABS) income data and do not appear in Other income or Total income. Pension recipients can fall below the income threshold that necessitates them lodging a tax return, or they may only receive tax free pensions or allowances. Hence they will be missing from the personal income tax data set. Recent estimates from the ABS Survey of Income and Housing (which records Government pensions and allowances) suggest that this component can account for between 9% to 11% of Total income.

All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the ABS to closely align to ABS definitions of income.

The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.

Please note:

• All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.

• To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.

• Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.

For further information please visit the Australian Bureau of Statistics.

AURIN has made the following changes to the original data:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

Minimum Wages in Australia increased to 915.90 AUD/week in 2024 from 882.80 AUD/week in 2023. This dataset provides - Australia Minimum Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Summary results of the monthly Labour Force Survey containing estimates of employed and unemployed persons classified by sex, full-time/part-time status, states and territories and some age groups; and persons not in the labour force.\r \r The monthly spreadsheets contain broad level data covering all the major items of the Labour Force Survey in time series format, including seasonally adjusted and trend estimates.

就业：非全日制：趋势：女性在01-01-2025达3,000.036千人，相较于12-01-2024的2,993.206千人有所增长。就业：非全日制：趋势：女性数据按月更新，02-01-1978至01-01-2025期间平均值为1,799.697千人，共564份观测结果。该数据的历史最高值出现于01-01-2025，达3,000.036千人，而历史最低值则出现于02-01-1978，为714.170千人。CEIC提供的就业：非全日制：趋势：女性数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于全球数据库的澳大利亚 – Table AU.G031: Employment: by State and Sex: Part Time。

就业：非全日制：趋势在01-01-2025达4,532.886千人，相较于12-01-2024的4,519.084千人有所增长。就业：非全日制：趋势数据按月更新，02-01-1978至01-01-2025期间平均值为2,512.736千人，共564份观测结果。该数据的历史最高值出现于01-01-2025，达4,532.886千人，而历史最低值则出现于02-01-1978，为904.812千人。CEIC提供的就业：非全日制：趋势数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于全球数据库的澳大利亚 – Table AU.G031: Employment: by State and Sex: Part Time。

This dataset presents information about investment income. The data covers the financial years 2011-12 to 2017-18, and is based on Local Government Areas (LGA) according to the 2018 edition of the Australian Statistical Geography Standard (ASGS).

Investment income includes the following data items on the Individual Tax Returns (ITR):

• Gross interest

• Dividends unfranked amount

• Dividends franked amount

• Dividends franking credit

• Share of net income from trusts less net capital gains and foreign income non primary production

• Franked distributions from trusts - non-primary production

• Australian franking credits from a New Zealand company

• Net foreign rent

• Net rent

All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.

The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.

Please note:

• All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.

• To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.

• Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.

For further information please visit the Australian Bureau of Statistics.

AURIN has made the following changes to the original data:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.