X Pro Indicator

[Annette Fazzari]

Clickon Custom Country. A new box will open. Click on the desired countries listed in the country selection panel. Enter the group name in the Enter Group Title box and click on Add. The new country group will be added to the right panel.

Now you can add new countries or remove the countries to an existing customized group. 1. Click on the additional countries listed in the country selection panel. 2. To remove the country from the group double click on the country or select the country and click Remove button. 3. Click on Add to save changes to your customized group. Note: Editing the group name will create a new custom group. You can remove the customized group by clicking on the Delete button in the current selection panel in right side

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.

In June 2024, the Economic Sentiment Indicator (ESI) remained largely unchanged in both the EU and the euro area (-0.2 points to, respectively, 96.4 and 95.9). The Employment Expectations Indicator (EEI) declined for the third consecutive month in both areas, approaching (EU: -0.8 points to 100.4) or undercutting (euro area: -1.6 points to 99.7) its long-term average. While the ESI has remained essentially flat over the first six months of the year, around 4 points below its long-term average, the slow but continuous decline in the EEI has narrowed the gap between the two indicators.

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).

Note: Indicator codes for data transfer, tracking and other statistical purposes are being revised in light of the 2020 Comprehensive Review by UNSD. They will be included in updated Excel files when finalized.

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).

Mortality and hospitalization based indicators are presented as both crude and age-adjusted rates. The standard population that was used for adjustment was the 2000 United States population. Age adjustment allows for the comparison of rates between geographic areas with different age distributions.

These community statistics are grouped into fifteen health-related topics. The dashboard also includes an "About This Site" page which links to "About" indicator pages that provides indicator definitions, data sources and NYSDOH program contact information.

Data for each health topic can be obtained in two different formats. The first option, The New York State Community Health Indicator Reports (CHIRS) dashboard presents 15 health topics that include about 350 health indicators. The dashboard has maps, tables, bar charts, trend graphs, and at-a-glance comparisons of the two most recent data points. Each table contains data for all 62 New York State counties, 11 Delivery System Reform Incentive Payment (DSRIP) regions, New York City, the State excluding New York City, and New York State.

The DSRIP program aims to promote community-level collaborations and focus on system reform (Medicaid Redesign Team (MRT) reforms), specifically a goal to achieve a 25 percent reduction in avoidable hospital use over five years . DSRIP relevant performance data - DSRIP data reporting and presentation resulted in organizing counties into 11 regions (These regions replaced the historically used HSA regions in CHIRS).

Information can be accessed by selecting one of the health-related topics. After selecting a topic, a list of available indicators will appear. On the Dashboard home page, the green row includes the column header labeled Data Views. There are four or five icons displayed under the Data Views column, depending on the indicator.

The state dashboard also includes the at-a-glance comparisons of the two most recent data points, and charts showing the indicator for the state, NYC and the state excluding NYC. The dashboard also includes a "Data Table" option that shows a comprehensive data table of all indicators organized by the health-related topics. This table displays data for the most recent year and for the previous year by indicator.

Estimates for 2020 and earlier are from Bridged Race Categories files, developed by the Census Bureau for the National Center for Health Statistics. The 2018 population estimates are used to calculate rates for 2019 and 2020.

Multiple years of data were combined to generate more stable estimates when the number of events for an indicator was small (i.e., rare conditions).

The relative standard error (RSE) is a tool for assessing reliability of an estimate. A large RSE is produced when estimates are calculated based on a small number of cases.2 Estimates with large RSEs are considered less reliable than estimates with small RSEs. The National Center for Health Statistics recommends that estimates with RSEs greater than 30% should be considered unreliable/unstable.3

For notation purposes, an asterisk (*) symbol is used to indicate that a percentage, rate, or ratio is unreliable/unstable. This usually occurs when there are less than 10 events in the numerator (RSE is greater than 30%).

CHIRS indicators fall into three categories with regard to the direction of their estimates. Higher estimates in some indicators mean poorer health or greater risk of poorer health (e.g., the percentage of premature deaths before age 75 years, or cardiovascular hospitalizations). Lower estimates in some other indicators mean poorer health or greater risk of poorer health (e.g., the percentage of the population with health insurance, or the percentage of infants exclusively breastfed in the hospital). A few indicators do not have a direction (e.g., total population, percent of births which were first birth), and the higher or lower estimates have no meaning in terms of health or heath risk. For these indicators, "Increased" or "Decreased" is used instead to indicate change from the previous data period.

For each CHIRS indicator, county estimates are grouped into three categories: LIGHT GREEN, BLUE-GREEN, and DARK BLUE. The three colors represent the quartile distribution of estimates for the counties, ordered from counties with the lowest percent of population with poorer health or at risk of poorer health, to counties with the highest percent of population with poorer health or at risk of poorer health.

For CHIRS indicators where higher estimates mean poorer health or greater risk of poorer health (e.g., percentage of premature deaths before age 75 years or the age-adjusted rate of cardiovascular disease hospitalizations):

For CHIRS indicators where lower estimates mean poorer health or greater risk of poorer health (e.g., the percentage of the population with health insurance or the percentage of infants exclusively breastfed in the hospital):

Some indicators do not fall into the two types of indicators listed above, such as population, and percent of births which were first birth. The county dial is only a visual representation of where the county is in relation to other counties, e.g. larger or smaller, higher or lower.

Use caution when interpreting significance. For more common conditions (i.e., high incidence rates), there is a higher likelihood that a relatively small change could be detected as statistically significant. Conversely, for rare conditions, the likelihood of detecting a statistically significant change is low even for reasonable changes.

Results are not shown (i.e., suppressed) when issues of confidentiality exist. Suppression rules vary depending on the data source and the indicator. An 's' notation indicates that the data did not meet reporting criteria.

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