Achieving global biodiversity goals relies on the ability to measure, visualize, and communicate both environmental trends and the effects of conservation actions. There is high demand for indicators of biodiversity status and trends at multiple spatial scales. But, easy, intuitive, and centralized access to biodiversity indicator data remains a challenge.

This table presents a set of selected quarterly indicators highlighting people’s economic well-being. It includes the following indicators (or measures) for households and Non Profit Institutions Serving Households (NPISH): real gross disposable income per capita, real final consumption expenditure per capita, the gross savings rate, net cash transfers to households and NPISH, debt and net financial worth. Some other indicators that are relevant for people and households are also provided: real gross domestic product (GDP) per capita, consumer confidence, the unemployment rate and the labour underutilisation rate.

The table shows OECD countries, as well as the OECD total, G7, European Union and euro area. Data is presented on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter.

See also the visualisation tool: Households' economic well-being: the OECD dashboard

These indicators were presented in the previous dissemination system in the HHDASH dataset. The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Date of last data update: May 13, 2025

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas.

For indicators of debt, the measure used is the broadest measure of debt which may include the following financial liabilities (although coverage varies by sector and by country): Special Drawing Rights, currency and deposits, debt securities (at market value), loans, insurance, pensions and standardised guarantees, and other accounts payable. The ‘adjusted’ measure of debt – as well as of net financial worth – excludes unfunded pension liabilities. As financial liability coverage varies between countries, users should proceed with caution when comparing different countries.

This table is on a consolidated basis, meaning that counterpart assets and liabilities of units within the same sector are removed. The exception is data for Chile, Colombia, Korea and Mexico which is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector without removing counterpart assets and liabilities of units within the same sector.

This app contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: March 2021 (preliminary values at the state and county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2019 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.To better understand the different labor force statistics included in this map, see the diagram below from BLS:Esri's U.S. Updated Demographic Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Data Note: The median household income value divides the distribution of household income into two equal parts. Pareto interpolation is used if the median falls in an income interval other than the first or last. For the lowest interval, <$10,000, linear interpolation is used. If the median falls in the upper income interval of $500,000+, it is represented by the value of $500,001. Additional Esri Resources:Esri DemographicsU.S. 2020/2025 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

The School Corporation Fiscal Indicators are statutorily mandated by IC 20-19-7. Included are trends in enrollment, deficits/surpluses, and fund balances. DUAB uses these metrics to evaluate the financial condition of all 290 Indiana school corporations and identify those that demonstrate signs of distress.

Sioux Falls Dashboard - Economic Indicators - Single Family Additions

Climate Change Indicators Dashboard Glossary Note.

Hub page featuring Sioux Falls Dashboard - Economic Indicators - Multi-Family Projects.

Key performance indicators

Information on the main changes and historical trends for the main quarterly personal and economic well-being measures.

Key indicator data from City of Toronto divisions and agencies are shared with the City Manager's Office and made available through the Toronto's Dashboard application. Toronto’s Dashboard data is used to assess trends and directions of key indicators for Toronto as a whole and for City of Toronto services. This dataset includes the most recent data and data from previous periods available in the Toronto's Dashboard application. CSV files for each individual key indicator can be exported directly through Toronto's Dashboard.

Hub page featuring Sioux Falls Dashboard - Economic Indicators - Single Family Projects.

The New Brunswick Well-being indicators dashboard provides a selection of key indicators. Explore the dashboard to find out more about the well-being of New Brunswick residents.

Key indicator data from City of Toronto divisions and agencies are shared with the City Manager's Office and made available through the Toronto's Dashboard application. Toronto’s Dashboard data is used to assess trends and directions of key indicators for Toronto as a whole and for City of Toronto services. This dataset includes the most recent data and data from previous periods available in the Toronto's Dashboard application. CSV files for each individual key indicator can be exported directly through Toronto's Dashboard.

License Information

The End User Licence Agreement terms are the Creative Commons Attribution 4.0 International license (CC BY 4.0).

This data includes indicators estimated in a multicriteria dashboard applied to assess sustainability of tropical tuna fisheries in Atlantic and Indian Oceans. The objective of this work was to test a multidimensional approach, accounting for the ecological, economic and social dimensions of fisheries sustainability, with the case study of tropical tuna fishing fleets. This dashboard has been constructed based on bibliography review then calculated annually for all historical period available. The principal data raw sources were Regional Fisheries Management Organisation’s (RFMO) public data for the majority of ecologic indicators and the Data Collection Framework (Regulation (EC) 199/2008) for socio-economic indicators and one ecologic indicator (Fuel use intensity or FUI). 24 indicators (14 ecological, 7 economic and 3 socio-economic) were calculated. According to raw data availability, the majority of ecological indicators were calculated from 1950 to 2020 for 356 fleets in Atlantic and Indian oceans, while FUI, economic and socio-economic indicators were calculated only for the European purse seiners and longliners (French and Spanish) over a shorter period of time (2009-2019) than ecological indicators. Because row data from the Data collection framework were aggregated, a method of desegregation based on the allocation on fishing effort to each ocean, was apply to each fleet segment. This dataset is a tool for monitoring the sustainability performance of tuna fisheries and can be re-used to compare different fishing gears performances, flag practices and for different periods.

The proposed sustainability assessment framework and its implementation as an Excel tool are intended for concerned operators as a sustainability management system, to assess improvements and perform benchmarking with alternative value chains, such as the dominant one where Africa-sourced raw cashew nuts (RCN) are processed in Vietnam. Background data on global cashew value chains, included in the tool, would be useful for benchmarking and eventually for corporate sustainability reporting. The framework addresses the sustainability concerns of cashew processors regarding: i) the environmental impacts of their supply and value chain, ii) their real cost after taking into account environmental externalities, and iii) their socio-economic performance; in a benchmarking context. The system of indicators draws from key sustainability frameworks and tools, including UN’s Sustainable Development Goals, FAO Tool for Agroecology Performance Evaluation, and EU Value Chain Analysis for Development. The built-in data represents the period 2020-2022

A collection of industry-focused KPI dashboard examples with key metrics for business performance.

This dataset enables studying the relationship between a country's economic and social factors — such as GDP per capita, government health expenditure, Human Development Index (HDI), World Happiness Index, and density of doctors per population — with several key health indicators, like alcohol consumption, life expectancy, child mortality, non-communicable disease mortality, obesity prevalence, and undernourishment rates. It covers 50 countries from 2002 to 2021.A dashboard is also provided to facilitate the study, including plots for comparison of any selected variables for any of the available years, countries and geographic regions.

This dataset and dashboard has been created as part of a data management project for university IQS, Ramon Llull.