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Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data was reported at 850.818 USD th in Jun 2019. This records a decrease from the previous number of 1,218.017 USD th for May 2019. Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data is updated monthly, averaging 230.385 USD th from Jan 2012 (Median) to Jun 2019, with 90 observations. The data reached an all-time high of 4,308.622 USD th in Dec 2012 and a record low of 22.467 USD th in Mar 2016. Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAD001: Export: by HS Classification: Australia.
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Indonesia Import: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data was reported at 1,740.717 USD th in Jun 2019. This records a decrease from the previous number of 3,257.210 USD th for May 2019. Indonesia Import: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data is updated monthly, averaging 1,278.006 USD th from Jan 2012 (Median) to Jun 2019, with 90 observations. The data reached an all-time high of 4,109.753 USD th in Feb 2019 and a record low of 459.635 USD th in Apr 2013. Indonesia Import: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAD024: Import: by HS Classification: Australia.
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Consumer Confidence in Australia increased to 98.50 points in August from 93.10 points in July of 2025. This dataset provides - Australia Consumer Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Australia Consumer Price Index (CPI): All Items: City data was reported at 125.976 2015=100 in Dec 2023. This records an increase from the previous number of 125.421 2015=100 for Sep 2023. Australia Consumer Price Index (CPI): All Items: City data is updated quarterly, averaging 38.282 2015=100 from Sep 1948 (Median) to Dec 2023, with 302 observations. The data reached an all-time high of 125.976 2015=100 in Dec 2023 and a record low of 3.417 2015=100 in Dec 1948. Australia Consumer Price Index (CPI): All Items: City 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.MEI: Consumer Price Index: COICOP 1999: OECD Member: Quarterly. The Australian CPI measures the pure price change in a selected basket of goods and services (of constant quality and quantity) typically purchased by Australian households. Prices used are actual transaction prices, including taxes but net of any unconditional subsidies or discounts. 'Special' and sales prices are recorded if they are temporary reductions. Rebates and free gifts are treated on a case by case basis. Prices are adjusted accordingly where bonus quantities, prepayments or early payment discounts and over-valuation during trade-ins are offered. No adjustments are made to prices in case where the price is linked to cheap finance or discount bulk purchases, or where entitlement to prizes in competitions are linked to product purchases. Any concessions available to particular groups of the population (such as age pensioners) are also taken into account where significant. Method of collection: The collection of prices in each capital city is largely conducted by trained field staff operating out of the various offices of the ABS, while some prices are collected by staff in the national office. Prices for most items are collected via personal visits using a hand held device. Other collection methods include the telephone, the Internet, electronic files, brochures, catalogues, and paper forms. Treatment of rentals for housing: The index includes a measure of rented housing. Treatement of Owner-Occupied Housing: The index includes a measure of owner-occupied housing costs represented by the purchase of dwellings (excluding land) and major improvements to existing homes and other costs according to an acquisitions approach. Treatment of missing prices: Missing values are imputed using price movements of similar products, price movements of the product at other outlets or other available external data. Treatment of quality changes: Prices are adjusted to remove the effect of quality changes. The method used vary according to the nature of the change and relies largely on external industry data. Treatment of replacement items: they are selected after consultation with retail outlet managers, product distributors or manufacturers and analysing industry data for the items affected. New products are included between weights updates via linking or splicing process. Treatment of seasonal items: items showing distinct seasonal behavior are adjusted via two methods. The first method involves repeating the same price in the out of season periods (education fees). In the second, prices for out of season products are imputed from other items in the same group or expenditure class (food and clothing).
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To return the Murray–Darling river system to health, the Murray–Darling Basin Plan requires recovery of surface water and groundwater for the environment. The government has prioritised …Show full descriptionTo return the Murray–Darling river system to health, the Murray–Darling Basin Plan requires recovery of surface water and groundwater for the environment. The government has prioritised infrastructure investment as its preferred method of water recovery. Read more about water programs in the Murray-Darling Basin here: http://www.agriculture.gov.au/water/mdb/programshttp://www.agriculture.gov.au/water/mdb/programs Scope This data set provides farm-level data on projects funded to recover water under the Basin Plan. Programs included are: Commonwealth On-Farm Further Irrigation Efficiency Program (contributes to Efficiency Measures) QLD Healthy Headwaters Water Use Efficiency Project NSW Irrigated Farm Modernisation NSW Basin Pipe Northern Victoria Irrigation Renewal Project Two On-Farm Irrigation Efficiency Program Private Irrigation Infrastructure Operators Program in NSW Private Irrigation Infrastructure Program for South Australia South Australia River Murray Sustainability Program Victorian Farm Modernisation Program Farm-level data is not available for the following programs: Goulburn Murray Water Connections NSW Metering Pilot NSW Southern Valleys Metering Project Sunraysia Modernisation Program ##Exclusions Programs that purchase water entitlements directly without associated infrastructure works are not included. Additionally, projects where a water entitlement has not been returned to the Commonwealth, for example environmental projects, are also excluded. #Data field descriptions Program: Text - Name of program under which the on-farm works were funded. Round: Numerical or text - Funding round under which on-farm works were funded. Text fields generally refer to "Not applicable" where the program did not have funding rounds, or "Pilot" where funding was provided under a pilot arrangement. Delivery partner: Text - The organisation contracted to deliver the program on behalf of the Australian Government. These organisations are responsible for day-to-day management of on-farm projects, and have the contract with the farmer. Project identifier: Numerical or text - An identifier for each project unique to that program. Australian Government project funding (GST exclusive): Currency - Australian dollars - Australian Government Project Funding excludes both GST payments and administration components of funding. Project values may change over time as the project is finalised and subject to final audit and acquittal. Water transferred to Commonwealth Environmental Water Holder (ML nominal): Numeric - Megalitres - Water transferred to the Commonwealth Environmental Water Holder. Total water savings may exceed those returned to the Commonwealth. Water transferred to Commonwealth Environmental Water Holder (ML LTAAY): Numeric - Megalitres in LTAAY terms - LTAAY stands for Long Term Average Annual Yield, which is a method used to standardise the calculation of expected water recoveries in the Murray–Darling Basin from different water access entitlement categories and across catchments in the Basin. This measure of water volume is relevant for measuring progress of water recovery towards meeting the sustainable diversion limits set out in the Basin Plan. The average annual yield for Murray-Darling Basin resource units is calculated using the current long-term diversion limit equivalent factors (v2.05) agreed by the Ministerial Council in November 2011, or in the absence of a factor, is modelled by the MDBA in consultation with the States. Following accreditation of the Water Resource Plans for an area, the planning assumptions used within will determine the LTAAY. Water entitlement class: Text - The type of water that was transferred to the Commonwealth Environmental Water Holder. Water entitlements are perpetual or ongoing entitlement to exclusive access to a share of water from a specified consumptive pool as defined in the relevant water plan. The nature and names for water entitlements differ across the Murray-Darling Basin. Further information is available at: http://www.bom.gov.au/water/awid/index.shtmlhttp://www.bom.gov.au/water/awid/index.shtml. State: Text - State from which the water entitlement was sourced. SDL Resource Unit: Text - The geographical location from which the water entitlement was sourced, based on information provided by the delivery partner. Sustainable Diversion Limit (SDL) Resource Units are defined in legislation and available at https://data.gov.au/data/dataset/4afa3227-8557-4bb6-944a-6494b28ae160https://data.gov.au/data/dataset/4afa3227-8557-4bb6-944a-6494b28ae160. Description of project: Text - Description of on-farm works undertaken. This field has been edited to ensure that it has been appropriately de-identified consistent with our obligations under the Privacy Act 1988. Project commencement date: Date - DD/MM/YYYY - Date on which the project commenced. The date taken for this purpose may vary depending on the program and includes (but is not limited to) dates such as the date Funding Agreement with the Delivery Partner was signed. Project completion date: Date - DD/MM/YYYY - Date on which the project was completed. The date taken for this purpose may vary depending on the program and includes (but is not limited to) dates such as approval date of final activity report, sub-project type closure report or closure letter. Not all projects have been completed at the time of producing this report. Disclaimer: The Australian Government acting through the Department of Agriculture has exercised due care and skill in preparing and compiling this data. In some instances, the department has relied on the delivery agent - which is responsible for the management and implementation of the program (and has the contract with the individual farmer) - to prepare the data. Notwithstanding, the Department of Agriculture, its employees and advisers disclaim all liability, including liability for negligence and for any loss, damage, injury, expense or cost incurred by any person as a result of accessing, using or relying on any of the data to the maximum extent permitted by law.
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The average for 2023 based on 193 countries was -0.07 points. The highest value was in Liechtenstein: 1.61 points and the lowest value was in Syria: -2.75 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.
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This dataset presents the footprint of the rate of hospitalisations for eye injury per 1,000 Indigenous population by client location. The location of the client is based on their place of usual residence. The data spans the financial years between 2014-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Australian Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient care data collection systems in Australian hospitals in each state and territory. The NHMD is based on data provided to the AIHW by state and territory health authorities for the National minimum data set (NMDS) for Admitted patient care.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Indigenous Eye Health Measures 2017 Data Tables.
Please note:
AURIN has spatially enabled the original data using the Department of Health - PHN Areas.
The data are crude rates.
Values assigned to "n.p." in the original data have been removed from the data.
Data by PHN should be interpreted with caution due to variations in admission practices, and because patients may be hospitalised outside the PHN where they reside.
The quality of data provided for Indigenous status varies. Time-series analyses may also be affected by changes in the quality of Indigenous identification over time.
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This dataset presents the footprint of the number and rate of employed ophthalmologists and full-time equivalent (FTE) per 100,000 population. The data spans the year of 2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Health Workforce Dataset (NHWD). The Australian Health Practitioner Regulation Agency (AHPRA), in conjunction with the national health professional registration boards, is responsible for the national registration process for 14 health professions. The data from the annual registration process, together with data from a workforce survey that is voluntarily completed at the time of registration, form the Department of Health’s National Health Workforce Dataset (NHWDS). Data in the NHWDS includes demographic and employment information (for example, labour force status, location of main job, area of practice, work setting) for registered health professionals. In this report, the data on optometrists and ophthalmologists comes from the NHWDS as reported by AIHW.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Indigenous Eye Health Measures 2017 Data Tables.
Please note:
AURIN has spatially enabled the original data using the Department of Health - PHN Areas.
FTE is a measure calculated by dividing an estimate of the total hours worked by employees in an occupation in a week by an estimate of the standard hours worked for optometrists (38 hours per week). The number of FTE is then compared with the size of relevant population to get the FTE 100,000 population.
Values assigned to "n.p." in the original data have been removed from the data.
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Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data was reported at 850.818 USD th in Jun 2019. This records a decrease from the previous number of 1,218.017 USD th for May 2019. Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data is updated monthly, averaging 230.385 USD th from Jan 2012 (Median) to Jun 2019, with 90 observations. The data reached an all-time high of 4,308.622 USD th in Dec 2012 and a record low of 22.467 USD th in Mar 2016. Indonesia Export: Value: Australia: HS90: Optical, photographic, cinematographic, measuring, checking, medical instrument data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAD001: Export: by HS Classification: Australia.