Automated Indicator Sharing (AIS) is a service the Cybersecurity and Infrastructure Security Agency (CISA) provides to enable real-time exchange of machine-readable cyber threat indicators and defensive measures between public and private-sector organizations. AIS helps to protect the participants of the service and ultimately reduce the prevalence of cyberattacks.
As mandated by CISA 2015, DHS certified the operation of AIS in March 2016 and released a series of guidance, in conjunction with the Department of Justice, to help private and public sector entities share cyber threat indicators with the Federal Government.
In the future, CISA intends to provide additional AIS features to allow participants to identify the most operationally relevant indicators. As CISA receives participant feedback, it will continue to perform updates to make AIS as useful and relevant to the community as possible. Please send any feedback to firstname.lastname@example.org.
myDataBank allows you to derive your own Custom Indicators from existing series. Click on Custom Indicators. Choose input indicators by clicking on the desired series in the panel and use the calculator functions to construct your custom indicator formula. For example, for a series that shows the percentage of female population, double-click on the series Population, Female. Then create a formula by clicking*100/ from the key pad. Then double click on the series Population, Total. After the formula is complete, you can verify its syntax by clicking the "> Validate icon. Give a name to your custom indicator and click on Add. Similarly you can create custom indicators such as GDP per Capita as GDP/Population, and annual growth rates for population as AGR(Population, Total), etc. To have "not available" values in the database treated as zero within your formula, use the NA function.
This card provides a brief list of common indicators of human trafficking relevant to campus environments; a summarized list of tips for maintaining a victim centered approach/trauma-informed responses and Brief instructions on following individual reporting protocol and include the HSI Tip Line.
The global indicator framework for Sustainable Development Goals was developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed upon at the 48th session of the United Nations Statistical Commission held in March 2017.
The global indicator framework was later adopted by the General Assembly on 6 July 2017 and is contained in the Resolution adopted by the General Assembly on Work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development (A/RES/71/313), Annex. According to the Resolution, the indicator framework will be refined annually and reviewed comprehensively by the Statistical Commission at its fifty-first session in March 2020 and its fifty-sixth session, to be held in 2025. The global indicator framework will be complemented by indicators at the regional and national levels, which will be developed by Member States.
Annual refinements of indicators are included in the indicator framework as they occur. In line with the mandate of the group, the IAEG-SDGs proposed 36 major changes to the framework in the form of replacements, revisions, additions and deletions as part of the 2020 Comprehensive Review, which were approved by the 51st Statistical Commission in March 2020.
The global indicator framework includes 231 unique indicators. Please note that the total number of indicators listed in the global indicator framework of SDG indicators is 248. However, thirteen indicators repeat under two or three different targets (see below).
This is the official website of the United Nations providing information on the development and implementation of an indicator framework for the follow up and review of the 2030 Agenda for Sustainable Development. It is maintained by the United Nations Statistics Division (UNSD), a division of the Department of Economic and Social Affairs (DESA).
These aggregate indicators combine the views of a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. They are based on over 30 individual data sources produced by a variety of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms.
The Dashboard includes a concise set of state indicators and local indicators that are founded on the Local Control Funding Formula (LCFF) priorities but are also aligned to the measures required under Every Student Succeeds Act (ESSA). Those LCFF priorities for which there is no state level data collected are referred to as local indicators. The seven local indicators are:
In addition to being a public record of progress on the Dashboard, the local indicator process serves to inform process and planning within the Local Control and Accountability Plan (LCAP). Further, progress in local indicators can inform technical assistance provided through the Differentiated Assistance process. For more information, please see the California's System of Support web page.
Provided an LEA satisfies the performance standards for each local indicator, the Dashboard will automatically assign a performance level of Met. If an LEA does not meet the performance standards, the Dashboard will automatically assign a performance level of Not Met or Not Met for Two or More Years, as applicable.
Notice of Revision: Revisions to the Wholesale estimates were released on March 24, 2023 and are reflected in this release. Revisions to the Retail estimates will be released April 24, 2023 and will be reflected in the March 2023 Advance Economic Indicators Release scheduled for April 26, 2023. Estimates are revised to reflect the results of the 2021 Annual Wholesale and Annual Retail Trade Surveys.Statement Regarding COVID-19 Impact - The Census Bureau continues to monitor response and data quality and has determined that estimates in this release meet publication standards. For more information, see COVID19 FAQs.API - The URL for the economic indicators data in the Census Bureau API (Application Programming Interface) has been updated to add /timeseries/. Examples can be found on the Developers' webpage.
Sustainable urban mobility indicators are a useful tool for cities and urban areas to identify the strengths and weaknesses of their mobility system and to focus on areas for improvement. As cities and urban areas continue to develop Sustainable Urban Mobility Plans (SUMPs) and work towards EU policy goals, it is important for this progress to be documented to ensure that such achievements become visible.
The European Commission has therefore developed a comprehensive set of practical and reliable indicators that support cities to perform a standardised evaluation of their mobility system and to measure improvements that result from new mobility practices or policies.
Indicators 1 to 13 are defined as core indicators, while indicator 14-18 are regarded as non-core indicators. This differentiation indicates which indicators the European Commission considers of particular strategic importance.
Please click on an indicator above to receive indicator-specific definitions, information about the parameters for the calculation of the overall indicator score, how-to guidelines and to download the indicator calculation spreadsheet.
An indicator set for cities outside of Europe is provided by the World Business Council for Sustainable Development. Their indicator set was the basis for the development of the SUMI indicator set above, which was specifically adapted for European cities.
During the SUMI project (2017-2020),a group of almost 50 pilot cities has voluntarily filled in and submitted a total of 473 indicator spreadsheets. These formed the initial basis for the database underlying the Benchmarking Tool. All cities have agreed to this usage of their data under the condition that no individual score can be publicly identified for a specific city.
The more cities submit their spreadsheet, the bigger the underlying database gets and the more representative the benchmarking information gets. For all cities, which submit their data in indicator spreadsheets, the same level of data protection applies. Concretely: Neither the European Commission nor the site administrator (acting on behalf of the European Commission) will ever release city-specific indicator scores. The data will only be used to facilitate cross-city benchmarking and to understand, as a strategic policy approach, the general situation with regards to sustainable urban mobility in Europe.
Under Perkins V, states are required to report annually on the following core indicators of performance. States are also required to report disaggregated data on the performance of students by gender, race/ethnicity, special population categories, and career clusters.
*This means that a student gets counted under this indicator whether the student obtains the credential during participation or within 1 year of completion. The Department interprets "within 1 year of completion" to have the plain meaning of those words: "that the student would be counted if the student obtains the credential in the 1 year following that student's completion of the program.
Title 24, Part 6 Sections 150.1(c)7A and 150.2(b)1E provide exceptions to refrigerant charge verification based on use of a fault indicator display (FID) that meets requirements specified in Joint Appendix JA 6.1.
The GPI developers identify indicators relevant to these principles then populate them with verifiable data. As one example, the pure economic activity stemming from the explosive growth of urban sprawl contributes greatly to the GDP. Yet, along with sprawl come non-economic costs such as increased commuting time, land use conversion, along with water and air pollution. In short, just because we are exchanging money within an economy does not necessarily mean that we are sustainable or prosperous. 041b061a72