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By PromptCloud [source]
This dataset from JobsPikr offers an invaluable insight into the Australian job market. With over 30,000 job postings from SEEK Australia, it contains extensive information such as job categories, cities and states of postings, companies looking to hire and their respective salaries offered, dates when they were posted and descriptions of what these jobs include.
Analyzing this data can help us identify the top paying companies in Australia, visualize locations with highest job opening count and more such insights. We can also draw definitive conclusions on salary distribution by state or specializations that are better suited to different areas. This dataset thus serves as an amazing source for those curious about Australia’s ever-changing employment landscape
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
How to Use This Dataset
This dataset contains over 30,000 job postings from SEEK Australia, giving comprehensive information about the roles, salaries and locations within the field. The dataset includes columns such as category, company name, job title and job description all of which can be used to gain insights into how much different roles pay in various regions and industries.
Here are some ways you could use this dataset:
Analyze salary distributions: Explore which states have higher paying jobs or use the provided categories (such as Accounting) to investigate differences in salary across company types.
Uncover trends in specific areas or industries: Look for changes in hiring trends over time or analyze areas with higher than average advertised salaries for particular positions.
Benchmark roles against competitors: Compare posted salaries for similar positions across companies to get an idea of what your organization should be offering when recruiting for a particular role or level of experience.
Assess employee mobility by region or sector: Identify popular markets among certain job seekers by exploring migration between different cities/states alond with any career shifts earyrly on in an individual's career journey,.
By understanding these patterns you can develop insights that may impact business decisions ranging from budget management to talent acquisition strategies!
- Analyzing salary differences between different states in Australia to see which ones offer the highest salaries for various job types.
- Finding out which cities have the most job opportunities and researching what kind of jobs they are offering.
- Identifying which companies are paying the highest salary and investigating what kinds of jobs they tend to hire for and where the company is located
If you use this dataset in your research, please credit the original authors. Data Source
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.
File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (String) | | job_type | The type of job (e.g. full-time, part-time, etc.). (String) | | post_date | The date on which...
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The ATO (Australian Tax Office) made a dataset openly available (see links) showing all the Australian Salary and Wages (2002, 2006, 2010, 2014) by detailed occupation (around 1,000) and over 100 SA4 regions. Sole Trader sales and earnings are also provided. This open data (csv) is now packaged into a database (*.sql) with 45 sample SQL queries (backupSQL[date]_public.txt).See more description at related Figshare #datavis record. Versions:V5: Following #datascience course, I have made main data (individual salary and wages) available as csv and Jupyter Notebook. Checksum matches #dataTotals. In 209,xxx rows.Also provided Jobs, and SA4(Locations) description files as csv. More details at: Where are jobs growing/shrinking? Figshare DOI: 4056282 (linked below). Noted 1% discrepancy ($6B) in 2010 wages total - to follow up.#dataTotals - Salary and WagesYearWorkers (M)Earnings ($B) 20028.528520069.4372201010.2481201410.3584#dataTotal - Sole TradersYearWorkers (M)Sales ($B)Earnings ($B)20020.9611320061.0881920101.11122620141.19630#links See ATO request for data at ideascale link below.See original csv open data set (CC-BY) at data.gov.au link below.This database was used to create maps of change in regional employment - see Figshare link below (m9.figshare.4056282).#packageThis file package contains a database (analysing the open data) in SQL package and sample SQL text, interrogating the DB. DB name: test. There are 20 queries relating to Salary and Wages.#analysisThe database was analysed and outputs provided on Nectar(.org.au) resources at: http://118.138.240.130.(offline)This is only resourced for max 1 year, from July 2016, so will expire in June 2017. Hence the filing here. The sample home page is provided here (and pdf), but not all the supporting files, which may be packaged and added later. Until then all files are available at the Nectar URL. Nectar URL now offline - server files attached as package (html_backup[date].zip), including php scripts, html, csv, jpegs.#installIMPORT: DB SQL dump e.g. test_2016-12-20.sql (14.8Mb)1.Started MAMP on OSX.1.1 Go to PhpMyAdmin2. New Database: 3. Import: Choose file: test_2016-12-20.sql -> Go (about 15-20 seconds on MacBookPro 16Gb, 2.3 Ghz i5)4. four tables appeared: jobTitles 3,208 rows | salaryWages 209,697 rows | soleTrader 97,209 rows | stateNames 9 rowsplus views e.g. deltahair, Industrycodes, states5. Run test query under **#; Sum of Salary by SA4 e.g. 101 $4.7B, 102 $6.9B#sampleSQLselect sa4,(select sum(count) from salaryWageswhere year = '2014' and sa4 = sw.sa4) as thisYr14,(select sum(count) from salaryWageswhere year = '2010' and sa4 = sw.sa4) as thisYr10,(select sum(count) from salaryWageswhere year = '2006' and sa4 = sw.sa4) as thisYr06,(select sum(count) from salaryWageswhere year = '2002' and sa4 = sw.sa4) as thisYr02from salaryWages swgroup by sa4order by sa4
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TwitterIn 2024, the average annual wage in Australia had reached ******* Australian dollars. Since 2000, the average wage in Australia has increased by around ****** Australian dollars. Since 2018, the average wage in Australia has remained fairly stagnant.
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Wages in Australia increased to 1542.30 AUD/Week in the second quarter of 2025 from 1510.90 AUD/Week in the fourth quarter of 2024. This dataset provides - Australia Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterEver wondered how many people are unemployed and underemployed? Or how much the average Australian earns? Discover these latest stats and more.
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TwitterDentistry graduates in Australia received a median salary of approximately **** thousand Australian dollars, making this profession the highest earning of all study areas in the country in 2023. Despite high employment rates, pharmacy graduates received the lowest median salary at around **** thousand Australian dollars per year.
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TwitterAs of August 2023, the mean weekly earnings of full-time employees in Australia were 1,885.6 Australian dollars. This is an increase of 62 Australian dollars a week.
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Australia GDP: Compensation of Employees: Wages & Salaries data was reported at 302,166.000 AUD mn in Dec 2024. This records an increase from the previous number of 291,800.000 AUD mn for Sep 2024. Australia GDP: Compensation of Employees: Wages & Salaries data is updated quarterly, averaging 94,886.000 AUD mn from Sep 1983 (Median) to Dec 2024, with 166 observations. The data reached an all-time high of 302,166.000 AUD mn in Dec 2024 and a record low of 23,608.000 AUD mn in Sep 1983. Australia GDP: Compensation of Employees: Wages & Salaries 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.A068: SNA08: Gross Domestic Product: by Income: Current Price.
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This dataset provides an insightful look into the Australian job market and the country's current trend of economic development. It consists of 30000 unique job postings from SEEK Australia, a renowned job board in Australia, offering valuable insights regarding salaries, job types, and openings across cities and states.
The data allows researchers to compare which type of jobs are offered across different locations, providing critical information on which cities or states offer particular kinds of jobs. Moreover, it offers a framework that can be used to understand how different companies compare when it comes to salaries and hiring practices. In addition, this dataset provides an in-depth view into what type of job openings there are in each city or state and their respective salaries. All this is available through reliable columns such as city, state, company name, salary offered & url enabling effective analysis and providing consumers with much needed knowledge about their potential employment opportunities in the market
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
This dataset can be used to gain insights into the Australian job market – from job types, salaries, and locations to trends in growth across states. To get started working with this data, you will need to download the dataset from Kaggle.
Once you have the dataset downloaded, it is important to become familiar with the different fields available as these will influence what kind of analysis you can do. The columns include category, city, company name, geo coordinates (for location-based analysis), job board (to determine where these jobs were posted), job description (to find relevant keywords and topics related with each position), job title (to search for specific jobs or trends in titles over time), job type (i.e full time/part-time etc.), posting date and salary offered.
You can further filter your results based on any combination of these different column values to get more targeted information about a certain area or topic that you are researching on. Additionally, visualizing certain elements such as salary ranges by region/job type may be helpful for gaining a wide understanding of Australia’s labor landscape in various sectors and cities.
Finally, it may also be useful to look at how salaries might have changed over time by comparing postings from 2 different years for example which could help identify employment growth areas or opportunities for businesses looking to set up shop in certain regions etc
- Analyzing Salary Trends: By investigating the salaries of various job postings, researchers can gain insights on wage growth and wage disparities across different cities and states in Australia.
- Comparing Job Types & Salaries: Researchers can observe which cities offer higher salaries for particular job types and also get an understanding of what is expected from potential applicants.
- Tracking Job Market Growth: By using data from the years before, it is possible to identify which areas have seen the most growth in terms of job opportunities and how that compares with other areas in Australia
If you use this dataset in your research, please credit the original authors. Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (...
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Key information about Australia Household Income per Capita
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Australia Percentage of Households: Source of Income: Wages And Salaries data was reported at 61.900 % in 2020. This records an increase from the previous number of 61.000 % for 2018. Australia Percentage of Households: Source of Income: Wages And Salaries data is updated yearly, averaging 58.700 % from Jun 1995 (Median) to 2020, with 16 observations. The data reached an all-time high of 61.900 % in 2020 and a record low of 56.300 % in 1997. Australia Percentage of Households: Source of Income: Wages And Salaries 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.H040: Survey of Income and Housing: Percentage of Households: by Source of Income.
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Wages in Australia increased 3.40 percent in September of 2025 over the same month in the previous year. This dataset provides - Australia Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Average Annual Wages in Australia increased to 70736.19 USD in 2024 from 70422.10 USD in 2023. This dataset includes a chart with historical data for Australia Average Annual Wages.
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TwitterAs of August 2023, the median weekly earnings of employees in Australia were 1,300 Australian dollars. Since August 1975, the median weekly earnings of employees in Australia have increased more than ten-fold.
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TwitterBetween March 2024 and March 2025, wages in Australia declined by around 0.6 percent. Wage growth in recent years has been relatively low in comparison to previous years, in particular in December 2020, which only saw a wage growth of 1.3%. Inflation and CPI outstripping wages While wages have increased in Australia, they have still not matched the rate of inflation, which was sitting at 2.4 percent at the end of 2024, down from a high of 7.8 percent at the end of 2022. The high cost of goods has also put pressure on the public, with the Consumer Price Index standing at around 139.4 points, compared to a base year of 2011-12. Rent is on the rise As with many around the world, Australians are also feeling the costs of rent increases. The majority of people in Australia perceive that the cost of rent has risen significantly in their local area. This in turn has seen the government expenditure on rental assistance continue to be high, with around 4.7 billion Australian dollars spent to assist the Australian public in maintaining their housing needs.
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Wages in Manufacturing in Australia decreased to 1715.50 AUD/Week in the second quarter of 2025 from 1740.70 AUD/Week in the fourth quarter of 2024. This dataset provides - Australia Average Weekly Wages In Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterAs of November 2024, the Australian Capital Territory had the highest mean weekly earnings of employees, with 2178.4 Australian dollars per week. Tasmania had the lowest mean weekly earnings, at 1765.6 Australian dollars per week.
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Graph and download economic data for Labor Compensation: Wage Rate: All Activities: Hourly for Australia (LCWRTT01AUA661N) from 1977 to 2022 about compensation, Australia, hours, wages, and rate.
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This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Australia Household Income: Gross Disposable Income data was reported at 421,840.000 AUD mn in Dec 2024. This records a decrease from the previous number of 435,293.000 AUD mn for Sep 2024. Australia Household Income: Gross Disposable Income data is updated quarterly, averaging 72,770.500 AUD mn from Sep 1959 (Median) to Dec 2024, with 262 observations. The data reached an all-time high of 435,293.000 AUD mn in Sep 2024 and a record low of 2,931.000 AUD mn in Jun 1960. Australia Household Income: Gross Disposable Income 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.A287: SNA08: Household Saving Ratio and Household Income.
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By PromptCloud [source]
This dataset from JobsPikr offers an invaluable insight into the Australian job market. With over 30,000 job postings from SEEK Australia, it contains extensive information such as job categories, cities and states of postings, companies looking to hire and their respective salaries offered, dates when they were posted and descriptions of what these jobs include.
Analyzing this data can help us identify the top paying companies in Australia, visualize locations with highest job opening count and more such insights. We can also draw definitive conclusions on salary distribution by state or specializations that are better suited to different areas. This dataset thus serves as an amazing source for those curious about Australia’s ever-changing employment landscape
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
How to Use This Dataset
This dataset contains over 30,000 job postings from SEEK Australia, giving comprehensive information about the roles, salaries and locations within the field. The dataset includes columns such as category, company name, job title and job description all of which can be used to gain insights into how much different roles pay in various regions and industries.
Here are some ways you could use this dataset:
Analyze salary distributions: Explore which states have higher paying jobs or use the provided categories (such as Accounting) to investigate differences in salary across company types.
Uncover trends in specific areas or industries: Look for changes in hiring trends over time or analyze areas with higher than average advertised salaries for particular positions.
Benchmark roles against competitors: Compare posted salaries for similar positions across companies to get an idea of what your organization should be offering when recruiting for a particular role or level of experience.
Assess employee mobility by region or sector: Identify popular markets among certain job seekers by exploring migration between different cities/states alond with any career shifts earyrly on in an individual's career journey,.
By understanding these patterns you can develop insights that may impact business decisions ranging from budget management to talent acquisition strategies!
- Analyzing salary differences between different states in Australia to see which ones offer the highest salaries for various job types.
- Finding out which cities have the most job opportunities and researching what kind of jobs they are offering.
- Identifying which companies are paying the highest salary and investigating what kinds of jobs they tend to hire for and where the company is located
If you use this dataset in your research, please credit the original authors. Data Source
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.
File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (String) | | job_type | The type of job (e.g. full-time, part-time, etc.). (String) | | post_date | The date on which...