Productivity in Australia remained unchanged at 99.50 points in the first quarter of 2025 from 99.50 points in the fourth quarter of 2024. This dataset provides - Australia Productivity - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Australia Labour Productivity Growth

• Australia Labour Productivity improved by 1.36 % YoY in Dec 2024, compared with a drop of 1.80 % in the previous quarter
• Australia Labour Productivity Growth data is updated quarterly, available from Jun 1979 to Dec 2024, averaging at 0.90 %
• The data reached an all-time high of 6.25 % in Mar 1984 and a record low of -3.99 % in Jun 1986

In financial year 2024, the labor productivity index (LPI) of the construction industry in Australia amounted to 103.97 compared to the base year of 2023.

Graph and download economic data for Unit Labor Costs: Early Estimate of Quarterly Unit Labor Costs (ULC) Indicators: Labor Productivity: Total for Australia (ULQELP01AUQ657S) from Q2 1967 to Q3 2023 about productivity, Australia, and production.

The average for 2022 based on 2 countries was 65.8 USD per hour worked. The highest value was in Australia: 77.5 USD per hour worked and the lowest value was in New Zealand: 54 USD per hour worked. The indicator is available from 1971 to 2023. Below is a chart for all countries where data are available.

Australia GDP Per Hour Worked Index: sa data was reported at 106.100 2011-2012=100 in Jun 2014. This records an increase from the previous number of 105.100 2011-2012=100 for Mar 2014. Australia GDP Per Hour Worked Index: sa data is updated quarterly, averaging 77.550 2011-2012=100 from Sep 1978 (Median) to Jun 2014, with 144 observations. The data reached an all-time high of 106.100 2011-2012=100 in Jun 2014 and a record low of 59.700 2011-2012=100 in Jun 1979. Australia GDP Per Hour Worked Index: sa 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.A286: SNA08: GDP Per Hour Worked: Seasonally Adjusted. Labour Productivity estimates are the indexes of real GDP per hour worked. For the whole economy, they have been derived by dividing the chain volume measure of GDP by the estimated resident population or hours worked. Labour productivity indexes reflect not only the contribution of labour to changes in product per labour unit, but are also influenced by the contribution of capital and other factors affecting production.

The average for 2022 based on 2 countries was 72.84 index points. The highest value was in Australia: 86.18 index points and the lowest value was in New Zealand: 59.49 index points. The indicator is available from 1970 to 2022. Below is a chart for all countries where data are available.

Australia Capital Stock to Output Ratio: % Point Contribution to Labour Productivity Growth data was reported at -0.190 % in 2022. This records an increase from the previous number of -0.677 % for 2021. Australia Capital Stock to Output Ratio: % Point Contribution to Labour Productivity Growth data is updated yearly, averaging 0.015 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 1.494 % in 1990 and a record low of -0.982 % in 1992. Australia Capital Stock to Output Ratio: % Point Contribution to Labour Productivity Growth data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.PDB: Investment in Capital Stocks and Services: OECD Member: Annual.

Australian energy consumption and energy intensity compared with gross domestic product, 1973–74 to 2014–15 (percentage 1973-74 levels)

Department of Industry and Science 2015. Australian Energy Update 2015. Australian Government, Canberra

Figure DRV4 in Drivers report. https://soe.environment.gov.au/theme/drivers/topic/economic-activity-driver-environmental-change#Figure_DRV4

The gross domestic product (GDP) per capita in Australia was estimated at 66,250 U.S. dollars in 2024. From 1980 to 2024, the GDP per capita rose by 55,240 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. Between 2024 and 2030, the GDP per capita will rise by 8,640 U.S. dollars, showing an overall upward trend with periodic ups and downs.This indicator describes the gross domestic product per capita at current prices. Thereby, the gross domestic product was first converted from national currency to U.S. dollars at current exchange rates and then divided by the total population. The gross domestic product is a measure of a country's productivity. It refers to the total value of goods and service produced during a given time period (here a year).

In 2021, the labor productivity index (LPI) of the mining industry in Australia showed a decrease to 95.04 compared to the base year of 2020. The mining industry is one of the most important industries in Australia.

Aim: A key ecological debate is whether ecosystem functions are distinctly influenced by biological diversity across broad scales. Although recent work has emphasized the importance of links between ecosystem functions and measures of ecological specialization as proxies of biodiversity, few studies have analysed macroecological relationships empirically in diverse environments. We tested whether gross primary productivity (GPP) in the Australian Wet Tropics (WT) was distinctly related to community‐level measures of the ecological specialization of component tree species across climate space, after accounting for climate drivers.

Location: Wet Tropics, Australia.

Time period: 1976–2012.

Major taxa studied: Nine hundred and forty‐eight WT tree species.

Methods: Using all geographically valid herbarium records for WT trees, we quantified the realized climatic niche widths using continental surfaces for maximum temperature of the warmest period and total annual rainfall. The median rea...

The MCCN project is to deliver tools to assist the agricultural sector to understand crop-environment relationships, specifically by facilitating generation of data cubes for spatiotemporal data. This repository contains Jupyter notebooks to demonstrate the functionality of the MCCN data cube components.The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 6.ipynb)Research Activity Identifier (RAiD)RAiD: https://doi.org/10.26292/8679d473Case StudiesThis repository contains code and sample data for the following case studies. Note that the analyses here are to demonstrate the software and result should not be considered scientifically or statistically meaningful. No effort has been made to address bias in samples, and sample data may not be available at sufficient density to warrant analysis. All case studies end with generation of an RO-Crate data package including the source data, the notebook and generated outputs, including netcdf exports of the datacubes themselves.Case Study 6 - Environmental Correlates for ProductivityDescriptionAnalyse relationship between different environmental drivers and plant yield. This study demonstrates: 1) Loading heterogeneous data sources into a cube, and 2) Analysis and visualisation of drivers. This study combines a suite of spatial variables at different scales across multiple sites to analyse the factors correlated with a variable of interest.Data SourcesThe dataset includes the Gilbert site in Queensland which has multiple standard sized plots for three years. We are using data from 2022. The source files are part pf the larger collection - Chapman, Scott and Smith, Daniel (2023). INVITA Core site UAV dataset. The University of Queensland. Data Collection. https://doi.org/10.48610/951f13cBoundary file - This is a shapefile defining the boundaries of all field plots at the Gilbert site. Each polygon represents a single plot and is associated with a unique Plot ID (e.g., 03_03_1). These plot IDs are essential for joining and aligning data across the orthomosaics and plot-level measurements.https://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/shp.zip.Orthomosaics - The site was imaged by UAV flights multiple times throughout the 2022 growing season, spanning from June to October. Each flight produced an orthorectified mosaic image using RGB and Multispectral (MS) sensors.https://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/2022-09-18.tifhttps://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/UQ_GilbertN_danNVT_2022-07-28_10-00-00_Altum_bgren_20m_transparent_reflectance_packed.tifhttps://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/UQ_GilbertN_danNVT_2022-08-08_10-00-00_Altum_bgren_20m_transparent_reflectance_packed.tifPlot level measurements - Multispectral Traits: Calculated from MS sensor imagery and include indices NDVI, NDRE, SAVI and Biomass Cuts: Field-measured biomass sampled during different growth stages (used as a proxy for yield).https://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/filtered_biomass_updated.csvhttps://object-store.rc.nectar.org.au/v1/AUTH_2b454f47f2654ab58698afd4b4d5eba7/mccn-test-data/case-study-5-files/filtered_multispec_aggregated.csv

From the first half of 2020 until the second half of 2021, Australia’s construction industry was disrupted due to the coronavirus pandemic. The industry had seen a steady rise in employment between 2015 and 2019, with the number of employees recovering to just over 1.27 million in 2022. As of November 2024, construction industry employment stood at approximately 1.36 million. How important is the construction industry? The construction industry plays a major economic role in Australia. The value of private sector construction was significantly higher than the value of public sector construction. Combined, these sectors cover engineering construction work, non-residential building, and residential building. Engineering construction work, which encompasses infrastructure, was the most predominant of the three. The value of residential construction work completed across Australia’s private and public sectors amounted to over 30 billion Australian dollars higher than that of non-residential construction work. Job outlook The leading occupations in Australia's construction industry were carpenters and joiners. Roles within this industry vary greatly, with many entry-level jobs not requiring a tertiary education degree. In terms of trade work, apprenticeships and traineeships were the main pathways to enter the market. While the job outlook has been relatively robust in this industry, the construction labor productivity index has been lower in recent years. On top of this, challenges faced in recent years, such as fluctuating material costs, project delays, and skilled worker shortages, could slow down growth in this industry.