Productivity in Australia increased to 99.90 points in the second quarter of 2025 from 99.60 points in the first quarter of 2025. 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 0.43 % YoY in Jun 2025, compared with a drop of 0.78 % in the previous quarter
• Australia Labour Productivity Growth data is updated quarterly, available from Jun 1979 to Jun 2025, averaging at 3.54 %
• The data reached an all-time high of 6.25 % in Mar 1984 and a record low of -3.99 % in Jun 1986

The gross domestic product (GDP) per capita in Australia amounted to 65,530 U.S. dollars in 2024. Between 1980 and 2024, the GDP per capita rose by 54,520 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP per capita will steadily rise by 13,730 U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.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).

Australia GHG Productivity: Demand Based GHG Intensity: Energy related CO2 per capita data was reported at 19.680 Tonne in 2020. This records a decrease from the previous number of 20.630 Tonne for 2019. Australia GHG Productivity: Demand Based GHG Intensity: Energy related CO2 per capita data is updated yearly, averaging 23.250 Tonne from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 27.230 Tonne in 2005 and a record low of 19.680 Tonne in 2020. Australia GHG Productivity: Demand Based GHG Intensity: Energy related CO2 per capita 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.GGI: Environmental: GHG Productivity: OECD Member: Annual.

Australia CO2 Productivity: CO2 Emissions from Air Transport per Capita data was reported at 446.550 Tonne in 2022. This records an increase from the previous number of 237.980 Tonne for 2021. Australia CO2 Productivity: CO2 Emissions from Air Transport per Capita data is updated yearly, averaging 675.990 Tonne from Dec 2013 (Median) to 2022, with 10 observations. The data reached an all-time high of 688.770 Tonne in 2013 and a record low of 237.980 Tonne in 2021. Australia CO2 Productivity: CO2 Emissions from Air Transport per Capita 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.GGI: Environmental: CO2 Productivity: OECD Member: Annual.

Australia CO2 Productivity: Demand Based CO2 Intensity: Energy related CO2 per capita data was reported at 16.530 Tonne in 2018. This records a decrease from the previous number of 16.640 Tonne for 2017. Australia CO2 Productivity: Demand Based CO2 Intensity: Energy related CO2 per capita data is updated yearly, averaging 17.525 Tonne from Dec 1995 (Median) to 2018, with 24 observations. The data reached an all-time high of 20.160 Tonne in 2007 and a record low of 15.440 Tonne in 1995. Australia CO2 Productivity: Demand Based CO2 Intensity: Energy related CO2 per capita 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.GGI: Environmental: CO2 Productivity: OECD Member: Annual.

NRRA requested surge team to develop a means to produce a defensible, evidence-based estimate of total economic impact of disasters for the recent flood events in Northern NSW and southern Queensland in February and March 2022 . Although the primary objective was to be quantify the total economic impact for the entire flood event, the team developed an approach that would enable estimation of value at risk and value impacted at higher spatial resolution or granularity that could also be used to inform policy and program design.

The aim was to develop a minimum viable product (MVP) for immediate use by the NRRA.

An approach was developed to estimating economic value at risk for administrative areas and then use flood extent to calculate percent of each administrative area impacted by the hazard, to estimate economic value impacted. Gross Value Added (GVA) by each administrative area (ASGS SA2 level) was selected as the headline economic value at risk figure. The GVA for each administrative area can be aggregated to a headline figure of total economic impact. The approach was intended to be rapid and robust, and to provide a preliminary view of direct impacts soon after a disaster occurs.

The outputs include:

A) An Economic value-at-risk data stack (including a range of economic data - jobs, productivity by worker, property reconstruction value, inter-regional and sectoral economic activity and built environment data)

B) A calculation sheet to calculate value impacted based on value at risk (GVA) and input parameters to quantify hazard within each administration unit

Both outputs are contained within a Microsoft Excel document.

Acknowledgement: This publication was developed by the CSIRO on behalf of the Australian Climate Service, a Type F Commonwealth entity hosted by the Bureau of Meteorology and delivered through a partnership between the Bureau of Meteorology, Australian Bureau of Statistics, CSIRO and Geoscience Australia.

Important disclaimer: CSIRO advises that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any specific situation. No reliance or actions must therefore be made on that information without seeking prior expert professional, scientific and technical advice. To the extent permitted by law, CSIRO (including its employees and consultants) excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication (in part or in whole) and any information or material contained in it. Lineage: 1. Data collection  • Discussion around potentially relevant data with ABS and GA
• Subsequent requests for data from data providers GA and ABS 2. Data wrangling, cleansing, integration, formatting, etc.  • Data stack architecture built in r and reproduced in Excel format  • Fully integrated data structure for all of Australia by SA2 by year produced from all available data (note that not all geographies or years were available for all metrics) • Creation of full data list including source, type, description, geography, time period(s), and format(s) of data included in the data cube
3. Identification of Gross Value Added (GVA) as headline ‘economic value at risk’ indicator   • GVA represents the value of goods and services produced minus intermediate consumption (i.e. the value of inputs into their production such as raw materials, rent, and labour costs).  • GVA per worker per industry was only available at the LGA level. Using the count of workers per industry per SA2, an estimate of total GVA per industry per SA2 was calculated using the LGA GVA per worker data applied to all SA2s within the given LGA. Where SA2s were split between LGAs, a weighted average GVA per worker by industry was calculated, with weighting related to the percentage of SA2 land area in the relevant LGAs.  • GVA informs the calculation of Gross Regional Product, but excludes the influence of taxes and subsidies.  4. Selection and analysis of relevant data  • Calculation of GVA per industry per SA2  • Selected data taken from most recent year available  5. Integration of ‘% of impacted land’ as an input function 6. Input flood extent table by % of each SA2 to calculate annual economic value at risk in $m (real) 

Australia GDP: 2015 Price: USD: Gross Value Added Per Worker: Services data was reported at 0.106 USD mn in 2023. This records an increase from the previous number of 0.103 USD mn for 2022. Australia GDP: 2015 Price: USD: Gross Value Added Per Worker: Services data is updated yearly, averaging 0.094 USD mn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 0.106 USD mn in 2023 and a record low of 0.071 USD mn in 1991. Australia GDP: 2015 Price: USD: Gross Value Added Per Worker: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Gross Domestic Product: Real. Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2015 U.S. dollars. Services corresponds to the International Standard Industrial Classification (ISIC) tabulation categories G-P (revision 3) or tabulation categories G-U (revision 4), and includes wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social and personal services.;Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.;Weighted average;

Australia Agriculture Value Added per Worker: 2010 Price data was reported at 55,934.048 USD in 2016. This records a decrease from the previous number of 58,747.384 USD for 2015. Australia Agriculture Value Added per Worker: 2010 Price data is updated yearly, averaging 40,196.161 USD from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 58,747.384 USD in 2015 and a record low of 22,374.786 USD in 1983. Australia Agriculture Value Added per Worker: 2010 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Agricultural Production and Consumption. Agriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livestock production. Data are in constant 2010 U.S. dollars.; ; Derived from World Bank national accounts files and Food and Agriculture Organization, Production Yearbook and data files.; Weighted average;

GHG Productivity：Demand Based GHG Intensity：人均能源排放产生的二氧化碳在12-01-2020达19.680吨，相较于12-01-2019的20.630吨有所下降。GHG Productivity：Demand Based GHG Intensity：人均能源排放产生的二氧化碳数据按年更新，12-01-1995至12-01-2020期间平均值为23.250吨，共26份观测结果。该数据的历史最高值出现于12-01-2005，达27.230吨，而历史最低值则出现于12-01-2020，为19.680吨。CEIC提供的GHG Productivity：Demand Based GHG Intensity：人均能源排放产生的二氧化碳数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于全球数据库的澳大利亚 – Table AU.OECD.GGI: Environmental: GHG Productivity: OECD Member: Annual。