Australian Bureau of Statistics: Difference between revisions

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[[Sustainable Development Goals]]
[[Sustainable Development Goals]]


[[Category:Government agencies of Australia]]
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[[Category:Government agencies of Australia]]

Latest revision as of 02:35, 7 May 2025

```wiki

  1. REDIRECT Australian Bureau of Statistics

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Parameter Description
Description A brief description of the content of the page.
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    • Financial Disclaimer**

The information provided herein is for informational purposes only and does not constitute financial advice. All content, opinions, and recommendations are provided for general informational purposes only and should not be construed as an offer or solicitation to buy or sell any financial instruments.

Any reliance you place on such information is strictly at your own risk. The author, its affiliates, and publishers shall not be liable for any loss or damage, including indirect, incidental, or consequential losses, arising from the use or reliance on the information provided.

Before making any financial decisions, you are strongly advised to consult with a qualified financial advisor and conduct your own research and due diligence. ```wiki Template:Infobox template

Template:Infobox organization is a standardized MediaWiki template used to present a concise summary of essential information about an organization at the top of an article. It’s a crucial component of many Wikipedia articles, providing readers with a quick overview of key facts before they delve into the detailed text. This article provides a comprehensive guide for beginners on how to use and understand this template. It will cover its purpose, structure, common parameters, advanced usage, troubleshooting, and best practices.

Purpose and Benefits

The primary goal of the Infobox organization template is to enhance readability and provide a structured presentation of organizational data. It offers several benefits:

  • Consistency: Ensures a uniform appearance across articles about different organizations, making information easier to locate.
  • Quick Overview: Allows readers to quickly grasp the essential facts about an organization without reading the entire article.
  • Navigation: Can include links to the organization's website, official social media pages, and related articles, aiding in further exploration.
  • Visual Appeal: Adds a visual element to the article, breaking up large blocks of text and making the page more engaging.
  • Data Standardization: Encourages the use of standardized data, which can be useful for data mining and other analytical purposes. This is especially important when comparing organizations.

Basic Structure and Syntax

The template is implemented using the following basic syntax:

```wiki Template loop detected: Template:Infobox organization ```

Each line represents a parameter-value pair. The parameter name is followed by an equals sign (=), and then the corresponding value. Values can be plain text, links, images, or other valid MediaWiki markup. Whitespace around the equals sign is generally ignored, but it's good practice to maintain consistent formatting for readability.

Common Parameters

The Infobox organization template offers a wide array of parameters. Here's a breakdown of the most commonly used ones:

  • name: (Required) The official name of the organization.
  • image: The filename of an image to display in the infobox. Use
    File:Example.png
    Caption
    to control size and add a caption.
  • caption: A caption for the image.
  • logo: Specifically for the organization's logo. Often used in conjunction with or instead of 'image'.
  • logo_size: Allows controlling the size of the logo.
  • alt: Alternative text for the image, important for accessibility.
  • homepage: The URL of the organization's official website. This will be displayed as a link.
  • established: The date the organization was founded, established, or incorporated. Use the Date format (e.g.,
  1. Template:Start date

Template:Start date is a MediaWiki template designed to display a date in a standardized, human-readable format, particularly useful for indicating the start date of events, projects, or periods within a wiki. This article provides a comprehensive guide to understanding, using, and customizing the `Template:Start date` template for beginners. It will cover its purpose, parameters, examples, potential issues, and related templates. This template is invaluable for maintaining consistency when documenting timelines and historical data.

Purpose

The primary purpose of `Template:Start date` is to consistently format dates across a wiki. Without a standardized template, dates might appear in various formats (e.g., January 1, 2023, 1/1/2023, 2023-01-01), leading to visual clutter and potential confusion. This template ensures that all start dates are displayed in a uniform manner, enhancing readability and professionalism. It’s particularly useful for projects that involve tracking timelines, historical events, or scheduled activities. Effective date formatting is crucial for data integrity and usability, especially when dealing with Time series analysis.

Basic Usage

The simplest way to use the template is to provide a date in YYYY-MM-DD format. The template will then automatically format it into a more readable format, typically "January 1, 2023".

```wiki Template loop detected: Template:Start date ```

This will output:

January 1, 2023

Parameters

The `Template:Start date` template accepts several parameters to customize the output. Here's a breakdown of each parameter:

  • 1 (Date): This is the *required* parameter. It represents the start date in YYYY-MM-DD format. For example, `2023-12-25` represents December 25, 2023. Incorrectly formatted dates will likely result in errors or unexpected output.
  • format: (Optional) This parameter allows you to specify a custom date format using PHP's `date()` function format codes. This provides a high degree of flexibility. For example, `format=d.m.Y` would output "25.12.2023". Refer to the PHP date() function documentation for a complete list of format codes. Using custom formats requires a good understanding of these codes.
  • month: (Optional) This parameter allows you to explicitly specify the month name. This is useful if you want to override the template's automatic month detection, perhaps for localization or specific stylistic requirements. Accepts the month name as a string (e.g., `month=December`).
  • day: (Optional) This parameter allows you to explicitly specify the day of the month. Similar to 'month', this overrides the template's automatic day detection. Accepts the day as a string (e.g., `day=25`).
  • year: (Optional) This parameter allows you to explicitly specify the year. Overrides the template's automatic year detection. Accepts the year as a string (e.g., `year=2023`).
  • hideyear: (Optional) A boolean parameter (true/false) that controls whether the year is displayed. If set to `true`, the year will be omitted. Default is `false` (year is displayed). Example: `hideyear=true`. This can be useful when the context clearly implies the year.
  • showfullmonth: (Optional) A boolean parameter (true/false) that determines whether the full month name is displayed. If set to `true`, "January" will be displayed instead of "Jan". Default is `false`. Example: `showfullmonth=true`.
  • link: (Optional) A boolean parameter (true/false) that determines whether the date is linked to a corresponding page (e.g., a page for that specific date). Default is `false`. Example: `link=true`. This is helpful for creating navigable timelines.
  • separator: (Optional) Allows you to change the separator character between the day, month and year. Default is a comma and a space (", "). Example: `separator=.` will output the date with a period as a separator.

Examples

Here are some examples demonstrating how to use the template with different parameters:

  • Basic Usage:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March 15, 2024
  • Custom Format:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: 15/03/2024
  • Hiding the Year:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March 15
  • Showing the Full Month Name:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March 15, 2024 (No change in this case, as the default behaviour is often to use the full month name)
  • Linking the Date:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March 15, 2024 (Assuming a page exists for "March 15, 2024")
  • Combining Parameters:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March 15, 2024 (The format parameter will be overridden by hideyear)
  • Using a custom separator:
   ```wiki
   Template loop detected: Template:Start date
   ```
   Output: March.15.2024

Potential Issues and Troubleshooting

  • Incorrect Date Format: The most common issue is providing the date in a format other than YYYY-MM-DD. Ensure the date is entered correctly.
  • Invalid Format Codes: If using the `format` parameter, ensure the format codes are valid PHP `date()` function codes. Incorrect codes will result in errors or unexpected output. Consult the PHP date() function documentation.
  • Missing Pages for Linked Dates: If the `link` parameter is set to `true`, but the corresponding date page does not exist, the output will be a red link. Create the page to resolve this.
  • Template Conflicts: Rarely, conflicts can occur if other templates or extensions modify the output of this template. If this happens, investigate the interaction between the templates and extensions.
  • Localization: The default output is in English. For wikis using other languages, consider using the `month` parameter to specify the month name in the desired language or exploring localization extensions. This is related to Localization strategies.

Related Templates

Several other templates complement `Template:Start date` and provide related functionality:

  • Template:End date: Displays an end date in a standardized format. Often used in conjunction with `Template:Start date` to define a period.
  • Template:Duration: Calculates and displays the duration between a start and end date.
  • Template:Date: A more general-purpose date formatting template, offering more options than `Template:Start date`.
  • Template:Now: Displays the current date and time.
  • Template:Age: Calculates and displays the age based on a birth date.
  • Template:Timeline: Creates visual timelines based on a series of dates.
  • Template:Event timeline: Similar to timeline, but optimized for event-based timelines.
  • Template:Year: Displays only the year from a given date.
  • Template:Month: Displays only the month from a given date.
  • Template:Day: Displays only the day from a given date.

Advanced Usage and Customization

For more advanced users, the `Template:Start date` template can be extended and customized through the use of parser functions and Lua modules. This allows for more complex date calculations, conditional formatting, and integration with other wiki features. For example, you could use parser functions to dynamically determine whether a date falls within a specific range or to display different text based on the date. This involves a deeper understanding of MediaWiki's template system and programming languages like Lua. Consider studying MediaWiki extension development for more complex customizations.

Best Practices

  • Consistency: Always use `Template:Start date` (or a similar standardized template) for all start dates in your wiki.
  • YYYY-MM-DD Format: Provide the date in YYYY-MM-DD format to ensure correct parsing.
  • Use Parameters Wisely: Only use the optional parameters when necessary to customize the output. Avoid unnecessary complexity.
  • Test Thoroughly: After making changes to the template or its usage, test thoroughly to ensure the output is as expected.
  • Document Your Changes: If you modify the template, document your changes clearly for future maintainers.
  • Consider Accessibility: Ensure the date format is accessible to users with disabilities. Use clear and concise language.
  • Understand Date Interpretation: Be mindful of regional differences in date interpretation (e.g., MM/DD/YYYY vs. DD/MM/YYYY) and choose a format that is unambiguous for your target audience. This is relevant to Global market analysis.

Further Resources

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  • type: The type of organization (e.g., corporation, non-profit, government agency). Consider using existing categories.
  • industry: The industry the organization operates in. Link to relevant industry articles.
  • key_people: Lists key individuals associated with the organization (e.g., CEO, president, founder). Use a list format.
  • employees: The number of employees.
  • revenue: The organization's annual revenue. Include the currency and year (e.g., $1.2 billion (2022)). Consider financial analysis techniques when presenting this data.
  • operating_income: The organization’s operating income.
  • net_income: The organization's net income.
  • owner: The owner(s) of the organization (e.g., shareholders, parent company).
  • subsidiaries: A list of the organization's subsidiaries.
  • parent: The organization's parent company.
  • slogan: The organization's official slogan.
  • location: The headquarters location. Link to the relevant city or country article.
  • coordinates: Geographic coordinates of the headquarters. Use the Template:Coord template.
  • area_served: The geographic area the organization serves.
  • footnotes: Any notes or references related to the infobox data.

Advanced Usage and Parameters

Beyond the common parameters, the Infobox organization template supports several advanced options:

  • label1 – label10: Allows adding custom labels and values to the infobox. This is useful for displaying information that doesn't fit into the standard parameters.
  • data1 – data10: The corresponding values for the custom labels.
  • above: Content placed *above* the standard infobox content. Useful for introductory text or warnings.
  • below: Content placed *below* the standard infobox content. Useful for disclaimers or additional notes.
  • modules: Enables the use of modules to extend the functionality of the infobox. This is an advanced feature requiring programming knowledge.
  • style: Allows applying custom CSS styles to the infobox. Use with caution, as it can affect the overall appearance of the article.

Examples

Here's a simple example of an Infobox organization for a fictional company:

```wiki Template loop detected: Template:Infobox organization ```

This example demonstrates the use of several common parameters. You can adapt it to fit the specific needs of the organization you're documenting.

Troubleshooting and Common Issues

  • Infobox not displaying correctly: Check for syntax errors, such as missing equals signs or incorrect parameter names. Use the MediaWiki preview feature to identify and correct errors.
  • Image not appearing: Ensure the image file exists on Wikimedia Commons or the local wiki and that the filename is correct. Verify the image license is appropriate.
  • Links not working: Double-check the URL for typos and ensure it's a valid link.
  • Infobox too wide: Reduce the size of the image or use fewer parameters. Consider using custom CSS to adjust the infobox width.
  • Parameters not recognized: Verify the parameter name against the official Template:Infobox organization/doc documentation.
  • Date format errors: Use the Date template for consistent date formatting. Incorrect date formats can break the infobox.

Best Practices

  • Accuracy: Ensure all information in the infobox is accurate and verifiable. Cite reliable sources.
  • Conciseness: Keep the infobox concise and focused on essential facts. Avoid unnecessary details.
  • Consistency: Follow established conventions for formatting and parameter usage.
  • Completeness: Fill in as many relevant parameters as possible.
  • Neutrality: Present information in a neutral and objective tone. Avoid promotional language.
  • Accessibility: Provide alternative text for images and ensure the infobox is accessible to users with disabilities.
  • Use of Categories: Correctly categorize the article using relevant or related categories. This improves searchability and organization. Consider categories related to market capitalization, revenue growth, and profit margins.
  • Template Documentation: Always consult the Template:Infobox organization/doc page for the latest information and updates.

Related Templates and Articles

```

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The Australian Bureau of Statistics (ABS) is the independent statutory agency of the Australian Government responsible for the collection, analysis, and dissemination of statistics relating to Australia. It is a crucial institution for understanding and monitoring the nation’s social, economic, and environmental conditions. This article provides a comprehensive overview of the ABS, its history, functions, data collection methods, key statistics it produces, and its importance to various sectors.

History

The ABS didn’t emerge fully formed. Its roots trace back to 1905, with the establishment of the Commonwealth Statistician's Office. This initial office was a small operation, largely focused on gathering basic economic and social data for the newly federated Australian nation. The driving force behind its creation was the need for reliable information to inform government policy and decision-making. Commonwealth of Australia required data to manage its expanding responsibilities and to understand the impacts of its policies.

Over the decades, the office gradually expanded in scope and responsibility. Significant milestones include:

  • 1910: The first official census of the Commonwealth was conducted, providing a snapshot of the population and its characteristics. This census remains a cornerstone of Australian statistical data.
  • 1949: The office was renamed the Commonwealth Bureau of Census and Statistics. This reflected a broadening remit beyond simply counting the population.
  • 1975: The agency adopted its current name, the Australian Bureau of Statistics, signaling its comprehensive role in all areas of statistical data collection and analysis. This coincided with a period of increasing demand for statistical information from a wider range of users, including businesses, researchers, and the public.
  • Late 20th and Early 21st Centuries: The ABS embraced technological advancements, transitioning from largely manual data collection and processing methods to computerized systems and online platforms. This enabled more frequent, detailed, and timely data releases. Data mining became increasingly important.

Throughout its history, the ABS has maintained a commitment to independence and impartiality. This is enshrined in the *Australian Statistics Act 1989*, which protects the confidentiality of data and safeguards the integrity of the statistical process.

Functions and Responsibilities

The ABS performs a wide range of functions, all centered around providing high-quality statistical information:

  • Data Collection: The ABS collects data through a variety of methods, including censuses, surveys, administrative data, and business registers. These methods are carefully designed to ensure accuracy, reliability, and representativeness. Sampling bias is a constant concern addressed through rigorous methodology.
  • Data Analysis: Once collected, data is rigorously analyzed using statistical techniques to identify trends, patterns, and relationships. This analysis informs policy development, research, and decision-making across a broad spectrum of sectors. Regression analysis is frequently employed.
  • Data Dissemination: The ABS makes its data publicly available through a variety of channels, including its website, publications, and data services. This ensures that statistical information is accessible to all Australians. Data visualization techniques are used to present complex data in an easily understandable format.
  • Statistical Standards: The ABS develops and maintains statistical standards to ensure consistency and comparability of data across time and between different sources. This is vital for accurate time series analysis.
  • Collaboration: The ABS collaborates with other government agencies, research institutions, and international organizations to improve statistical methods and share best practices.
  • Advocacy for Statistical Literacy: The ABS promotes statistical literacy among the public, helping Australians to understand and interpret statistical information effectively. This includes providing educational resources and training programs.

Data Collection Methods

The ABS employs diverse data collection methods, each suited to specific purposes:

  • Censuses: The most comprehensive data collection effort is the census of population and housing, conducted every five years. This provides a detailed snapshot of the Australian population and its characteristics. Cohort analysis relies heavily on census data.
  • Surveys: The ABS conducts numerous surveys throughout the year, focusing on specific topics such as household expenditure, labour force dynamics, health, and crime. Surveys are often targeted at specific population groups. Effective questionnaire design is crucial for survey accuracy.
  • Administrative Data: The ABS increasingly uses administrative data collected by other government agencies, such as health records, tax data, and education statistics. This reduces the burden on respondents and provides access to large datasets. Data linkage techniques are used to combine administrative data from different sources.
  • Business Registers: The ABS maintains registers of businesses operating in Australia, providing valuable information about the business sector.
  • Online Data Collection: The ABS is increasingly utilizing online platforms for data collection, making it more convenient for respondents and reducing costs. Web scraping is used for specific data collection tasks, ethically and legally.
  • Direct Observation: In some cases, the ABS uses direct observation methods to collect data, such as counting traffic flows or monitoring environmental conditions.

The ABS adheres to strict ethical guidelines and privacy principles in all its data collection activities. Data confidentiality is paramount, and individual responses are protected by law.

Key Statistics Produced by the ABS

The ABS produces a vast array of statistics covering all aspects of Australian life. Some of the most important include:

  • Population Statistics: Data on population size, distribution, age structure, sex ratio, and migration patterns. This is critical for demographic forecasting.
  • Labour Force Statistics: Data on employment, unemployment, labour force participation rates, and wages. These statistics are key indicators of economic health and provide insights into labor market trends.
  • Economic Statistics: Data on gross domestic product (GDP), inflation, consumer price index (CPI), balance of payments, and national accounts. This data is used to assess the overall performance of the Australian economy and to inform monetary policy.
  • Social Statistics: Data on health, education, housing, crime, and social attitudes. These statistics provide insights into the well-being of Australians and help to identify social problems. Social indicators are frequently reported.
  • Environmental Statistics: Data on water resources, land use, greenhouse gas emissions, and biodiversity. These statistics are used to monitor the state of the environment and to inform environmental policy. Sustainability metrics are increasingly important.
  • Industry Statistics: Data on the performance of different industries, including agriculture, manufacturing, and services. Industry analysis relies heavily on ABS data.
  • Housing Statistics: Data on housing occupancy, ownership, costs, and construction. This is crucial for understanding the real estate market.
  • International Trade Statistics: Data on Australia's imports and exports, providing insights into its trade relationships with other countries. Trade balance is a key indicator.

These statistics are used by a wide range of stakeholders, including government policymakers, businesses, researchers, and the public.

Importance and Applications of ABS Data

The ABS data is fundamental to informed decision-making across numerous sectors:

  • Government Policy: Governments rely on ABS data to develop and evaluate policies in areas such as health, education, social welfare, and economic development. Policy evaluation is dependent on accurate statistical data.
  • Business Planning: Businesses use ABS data to identify market opportunities, assess consumer demand, and make informed investment decisions. Market research utilizes ABS data extensively.
  • Economic Forecasting: Economists use ABS data to develop economic forecasts and to monitor the performance of the Australian economy. Econometric modeling relies on accurate and consistent data.
  • Academic Research: Researchers use ABS data to conduct studies on a wide range of social, economic, and environmental issues. Statistical analysis is at the heart of academic research.
  • Community Planning: Local governments use ABS data to plan for the needs of their communities, such as schools, hospitals, and transportation infrastructure.
  • Social Advocacy: Advocacy groups use ABS data to raise awareness of social issues and to advocate for policy changes.
  • Financial Markets: Financial analysts use ABS data to assess the health of the Australian economy and to make investment decisions. Fundamental analysis incorporates ABS data.

The ABS data is also used to track progress towards national goals, such as the Sustainable Development Goals (SDGs). Key Performance Indicators (KPIs) are often derived from ABS data. Understanding correlation and causation is vital when interpreting ABS data. The ABS actively promotes data literacy to ensure informed interpretation. The use of statistical significance testing is crucial for drawing valid conclusions. ABS data also informs risk assessment and scenario planning. Analyzing leading economic indicators helps predict future trends. The ABS also provides data on consumer confidence and business sentiment. Tracking inflation rates is a key function. ABS data is used in portfolio management and asset allocation. Understanding market volatility is aided by ABS data. The ABS data helps to identify economic cycles. ABS data is crucial for supply chain management. ABS data informs demographic segmentation and target market analysis. ABS data helps to understand regional disparities and income inequality. ABS data is used for environmental impact assessment. ABS data is used for urban planning and infrastructure development. ABS data informs public health monitoring and disease surveillance. ABS data is used for crime statistics analysis.

Challenges and Future Directions

The ABS faces several challenges in the 21st century:

  • Maintaining Data Quality: Ensuring the accuracy and reliability of data in a rapidly changing world is a constant challenge.
  • Adapting to New Technologies: Keeping pace with technological advancements, such as big data and artificial intelligence, requires ongoing investment and innovation. Machine learning is being explored for data analysis.
  • Protecting Data Privacy: Balancing the need for data with the need to protect individual privacy is a critical concern.
  • Responding to Emerging Data Needs: Meeting the evolving data needs of stakeholders requires ongoing consultation and innovation.
  • Funding and Resources: Securing adequate funding and resources to maintain its operations and invest in new technologies is an ongoing challenge.

The ABS is addressing these challenges by:

  • Investing in New Technologies: Adopting new technologies to improve data collection, analysis, and dissemination.
  • Strengthening Data Governance: Enhancing data governance frameworks to ensure data quality and privacy.
  • Collaborating with Data Partners: Working with other data providers to expand the range of data available.
  • Promoting Data Literacy: Educating the public about the importance of statistical information.
  • Modernizing Data Infrastructure: Upgrading its IT infrastructure to support its growing data needs.

The ABS remains a vital institution for Australia, providing the evidence base for informed decision-making and a deeper understanding of the nation's progress.


Australian Government Australian Statistician Census of Australia Australian economy Demography Economic indicators Data privacy Statistical methodology National accounts Labour market Data governance Sustainable Development Goals

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