The Australian Public Service Statistical Bulletin 2010-11 presents a summary of employment under the Public Service Act 1999 at 30 June 2011 and during the 2010-11 financial year, as well as summary data for the past 15 years. This Excel dataset consists of tables used to create the Statistical Bulletin. You can view the Bulletin online atA "http://www.apsc.gov.au/about-the-apsc/parliamentary/aps-%0Astatistical-bulletin/aps-statistical-bulletin-2010-11">http://www.apsc.gov.au/about- the-apsc/parliamentary/aps-statistical-bulletin/aps-statistical- bulletin-2010-11

Duolingo was the most popular online education mobile app by downloads in Poland in 2024, which amounted to 1.9 million on iPhone and iPad App Store and Google Play. Knowunity followed with approximately 699 thousand downloads.

In the period from 2011 to 2023, Rawbite A/S' operating profit fluctuated. In 2019, it peaked at almost 9.5 million Danish kroner, but decreased in the years that followed to an operating profit of roughly 3.4 million Danish kroner in 2023. As of December 20, 2016, RAWBITE ApS operates as a subsidiary of Bahlsen GmbH & Co. KG.

RAWBITE ApS produces and sells organic fruit and nut bars to customers in more than 30 countries. It offers products through a network of distributors and is based in Gentofte, Denmark.

The Australian Public Service Statistical Bulletin 2009-10 presents a summary of employment under the Public Service Act 1999 at 30 June 2010 and during the 2009-10 financial year, as well as summary data for the past 15 years.

This Excel dataset consists of tables used to create theA Statistical Bulletin. You can view the latestA Bulletins online atA AA "http://www.apsc.gov.au/about-the-apsc/parliamentary%0A/aps-statistical-bulletin/snapshots-december-2011">http://www.apsc.gov.au/about-the-apsc/parliamentary/aps-statistical-bulletin /snapshots-december-2011A .

In the shown period from 2011 to 2023, Rawbite A/S' total assets increased overall. In 2021, it amounted to 52 million Danish kroner, and peaked in 2023 at a value of around 58 million Danish kroner. As of December 20, 2016, RAWBITE ApS operates as a subsidiary of Bahlsen GmbH & Co. KG.

RAWBITE ApS produces and sells organic fruit and nut bars to customers in more than 30 countries. It offers products through a network of distributors and is based in Gentofte, Denmark.

The Australian Public Service Statistical Bulletin 2011-12 presents a summary of employment under the Public Service Act 1999 at 30 June 2012 and during the 2011-12 financial year, as well as summary data for the past 15 years. This Excel dataset consists of tables used to create the Statistical Bulletin. You can view the Bulletin online at "http://www.apsc.gov.au/about-the-apsc/parliamentary/aps-%0Astatistical-bulletin/2011-12">http://www.apsc.gov.au/about- the-apsc/parliamentary/aps-statistical- bulletin/2011-12

In 2023, organizations worldwide used an average of 112 Software as a Service (SaaS) applications. Between 2015 and 2023, the number of SaaS apps used by companies steadily increased, driven largely by the pre-pandemic software boom that fueled rapid growth and spending. However, this era of unchecked expansion has ended. With budgets tightening, organizations are now prioritizing efficiency, requiring SaaS applications to provide tangible benefits that justify their cost.

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Population Survey (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The household data comprise key variables from the Labour Force Survey (LFS) and the APS 'person' datasets. The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household-level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition, they also include more detailed geographical, industry, occupation, health and age variables.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

End User Licence and Secure Access APS data
Users should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the second edition (October 2022), the 2022 weighting variable was added and the previous 2020 weight was removed.

Main Topics:
Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications.

These tables present a summary of employment under the Public Service Act 1999 at 31 December 2011 and during the 2011 calendar year. The data is an update of that presented in the _APS Statistical Bulletin 2010-11. _Data will now be available at six monthly intervals -A through this summary for calendar year data, and through the annual State of the Service Report (SOSR) and APS Statistical Bulletin (the Bulletin) for more detailed financial year data.

The data in these tables is sourced from the APS Employment Database (APSED), which contains data extracted from agencies-C/ HR systems. The Australian Public Service Commission continues to work with agencies to improve the quality and timeliness of the data they provide to APSED. Each year extensive audits and error checking of APSED are undertaken, to ensure that sound conclusions can be drawn from the data. Through this audit process, previously published data has been updated. The June 2011 data published in SOSR and the Bulletin has been revised.

As in the Bulletin, a headcount approach is used in these tables-that is, people working part-time are aggregated with people working full-time without weighting. Data also includes inoperative staff. Employees-C/ classification in these tables refers to their base or substantive classification.

Abbreviations used in these tables and changes to administrative arrangements for the period July to December 2011 are explained below. The Explanatory Notes at Appendix 1 of the Bulletin provide definitions of terms used in these tables. The Bulletin is available at "http://www.apsc.gov.au/about-the-apsc/parliamentary/aps-%0Astatistical-bulletin/snapshots-december-2011">http://www.apsc.gov.au/about-the- apsc/parliamentary/aps-statistical-bulletin/snapshots- december-2011

A

The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.

APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Downloads of leading metaverse-related apps totaled more than 29.5 million in 2024. ifland's Social Metaverse, Meta's Horizion Worlds, the Fun 3D Avatar Chat Game, and Atlas Earth were the most downloaded apps in this category. The Social Metaverse app showed strong growth in 2024, jumping from around two million downloads in 2023 to over eight million downloads in 2024.

During the third quarter of 2020, chat and messengers apps recorded the highest user reach in all the examined categories, with close to 91 percent of internet users worldwide using this type of apps. Social network apps followed, with 88.5 percent reach. Entertainment and video apps ranked third, with 67 percent of the surveyed users reporting using apps in this category monthly.

As of February 2022, mobile apps of magazines had the largest number of trackers among the examined app categories, with two first-party trackers, and 26 third-party trackers. First-party data trackers can follow user activity and store information on the visited app, while third-party trackers send information to companies and external parties to provide targeted advertising. On average, the examined mobile apps had the possibility to use 12 third-party trackers, while this number decreased in the case of social media apps, with only four third-party trackers on average.

The revenue of Nordisk Kellogg ApS fluctuated over the recent years. The cereal producer's revenue amounted to approximately 686 million Danish kroner in 2011 and reached almost 748 million Danish kroner in 2023. The company, based in Denmark, produces ready-made breakfast cereals and salty snacks for the Nordic countries. It belongs to the Kellogg Group and operates the brands Kellogg's Corn Flakes, Kellogg's Special K, Kellogg's All-Bran, Kellogg's Frosties, Kellogg's Coco Pops, Kellogg's Rice Krispies and Pringles.

Danæg A/S' gross margin fluctuated from 2013 to 2020, peaking at 13.2 percent in 2020.

Danæg produces and sells organic eggs and egg products on both the Danish market and the export markets, primarily in Europe and the Middle East.

As of May 2023, product interaction data were the most commonly collected data points, with 94 over the 100 analyzed apps reporting to collect such data. User ID and crash data were collected by by 93 and 92 apps over 100, respectively. Over the 10 leading shopping apps hosted on the Apple App Store, the totality collected precise location, physical address, and payment info.

During the most recently measured period, the number of mobile apps available to Android users in the Google Play Store decreased by 18.5 than two percent compared to the previous quarter. During the first quarter of 2024, the number of available Android apps distributed on the Google Play Store experienced a drop of 18 percent compared to the last quarter of 2023.

During the second quarter of 2024, over 2.26 million mobile apps were available on the Google Play Store, down by 18 percent compared to the previous quarter. Between the beginning of 2019 and the end of 2021, the number of mobile apps available to Android users via the Google Play Store experienced a constant increase, reaching 4.67 million apps during the last quarter of 2021. However, after 2022, the number of apps available in the Google Play Store fluctuated.

According to a study of iOS users in the United States, 91 percent of the responding audiences were active users of the YouTube app in January 2023. Instagram and Facebook also registered high levels of engagement, with 80 percent and 72 percent of U.S. users active on the platforms, respectively. TikTok, which amassed almost 10 average weekly hours per user, recorded an active audience reach of 68 percent among participants in the examined period.

This statistic shows how often people in the United States use sports and fitness apps in 2016 according to a Statista survey. 40 percent of survey respondents said they currently use sports and fitness apps several times a week.