Wealth and its subcomponent distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  Statistics (3 items: Value; Distribution of value; Value per household);  Characteristics (13 items: All households; Lowest income quintile; Second income quintile; Third income quintile; ...);  Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial assets; ...).

This map shows the predominant household income by county, tract, and block group in the US in 2018. County is symbolized using color for the predominant income range. Tract and block group use color and size to show the predominant income range and count of total households. There are 9 income ranges:Household Income less than $15,000Household Income $15,000-$24,999Household Income $25,000-$34,999Household Income $35,000-$49,999Household Income $50,000-$74,999Household Income $75,000-$99,999Household Income $100,000-$149,999Household Income $150,000-$199,999Household Income $200,000 or greaterThe source of data is Esri's 2018 Demographic estimates. For more information about Esri's demographic data, visit the Updated Demographics documentation.

Data are from experiments in Southern California Current waters testing the N2 and CO2 fixing activity of the UCYN-A/haptophyte symbiosis in nitrate and ammonium rich waters. Also included are nitrate and ammonium uptake capabilities by the symbiosis. Lastly, CTD sensor data from two cruises on which these experiments were conducted can be found at BCO-DMO dataset CTD sensor (see related datasets).

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); Net worth quintiles (6 items: Total, all net worth quintiles; Lowest net worth quintile; Second net worth quintile; Middle net worth quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

The dataset titled "New housing price index, monthly" is a comprehensive collection of data related to housing prices, construction, and related economic and societal factors. It is tagged with keywords such as Economics and Industry, Housing Potential, Society and Culture, construction, housing, and more, indicating its wide range of applicability. The dataset was published on September 23, 2024, by Statistics Canada, a reputable organization in the field. The publisher and author can be contacted via the same email, infostats@statcan.gc.ca. The dataset provides monthly data from January 1981, with the most recent reference period and the last four periods being presented in the table. The base period for the index is denoted as (201612=100). The source of the dataset is confirmed to be provided, although not explicitly mentioned. The dataset is licensed under the Open Government Licence - Canada, which allows for open access and usage. The resources available in the dataset include multiple datasets and supporting documents, providing a rich source of information for users. The metadata for this dataset was created on October 1, 2024, and was last modified on April 7, 2025, indicating that the dataset is regularly updated and maintained for accuracy and relevance.

The Plan Bay Area 2050 Growth Geographies were adopted by the Metropolitan Transportation Commission and Association of Bay Area Governments Executive Board in September 2020. These conceptual areas, which do not supersede local zoning control, are prioritized for new housing and jobs in the Plan Bay Area 2050 Final Blueprint, with specific density and land use assumptions based upon adopted Final Blueprint Strategies. The applicability of different Growth Geographies varies by local jurisdiction based upon the extent to which a jurisdiction has nominated Priority Development Areas, as shown below:All JurisdictionsPriority Development Areas (PDAs):Source - features are from Priority Development Areas (Plan Bay Area 2050).Processing for growth geographies - features from source data were not modified further. Source data is the same as what is in the growth geographies data.Priority Production Areas (PPAs):Source - features are from Priority Production Areas (Plan Bay Area 2050).Processing for growth geographies - features from source data were not modified further. Source data is the same as what is in the growth geographies data.Transit Rich Areas (partial):Source - features are portions of Transit Rich Areas that are within ½ mile of a regional rail station with headways of 15 minutes or better during the AM (6 AM to 10 AM) and PM (3 PM to 7 PM) peak periods, based on posted schedules in January 2020 or service enhancements in Plan Bay Area 2050, including Bay Area Rapid Transit (BART) and Caltrain Baby Bullet station areas. (Note: regional passenger rail systems include Altamont Commuter Express, BART, Caltrain, Sonoma-Marin Area Rail Transit, and Capitol Corridor, but only BART and Caltrain include stops meeting the headway standard.)Processing for growth geographies - these input features were temporary data used to determine the designation, and were clipped to the “exclusion areas” shown below as well as PDAs and PPAs, so were not modified beyond their production.Jurisdictions That Have Nominated Less Than 50 Percent of Their PDA Eligible Areas as PDAsTransit Rich Areas (partial):Source - features are portions of Transit Rich Areas that are not within a PDA, PPA, or within ½ mile of a regional rail station with 15 minute peak headways or less, as identified above. These Transit Rich Areas features include both High Resource Areas and places outside High Resource Areas. The features for this portion of Transit Rich Areas were created by placing a half-mile buffer around passenger rail stations, ferry terminals, and bus stops on routes with peak headways of 15 minutes or less during peak commute period that were selected from Major Transit Stops (2017) data, and by placing a half-mile buffer around passenger rail stations, ferry terminals, and bus rapid transit routes included in Plan Bay Area 2050.Processing for growth geographies - These input features were temporary data used to determine the designation, and were clipped to the “exclusion areas” shown below as well as PDAs and PPAs, so were not modified beyond their production.High Resource Areas:Source - features were created by selecting the intersection of High and Highest Resource Areas from CTCAC/HCD Resource Opportunity Areas (2020) data and a ¼ mile buffer around bus stops with peak headways of 16 to 30 minutes, based upon a January 2020 extract of the Google Transit Feed Specification for all Bay Area transit providers, supplemented by published bus schedules where necessary.Processing for growth geographies - these input features were temporary data used to determine the designation, and are outside the Growth Geographies highlighted above (PDAs, PPAs, and Transit Rich Areas), as well as the “exclusion areas” shown below, so were not modified beyond their production.Exclusion AreasThe following areas are excluded from Growth Geographies. Also, these areas were not used in calculating the share of a jurisdiction’s PDA-eligible land locally nominated.County-adopted wildland urban interface areas, where available,Areas of unmitigated sea level rise (i.e., areas at risk from sea level rise through year 2050 that lack mitigation strategies in Plan Bay Area 2050 Environment Element),Areas outside locally-adopted urban growth boundaries, andParkland and other open spaces within urbanized areas identified in the California Protected Areas Database.A complete description of how the Plan Bay Area 2050 Growth Geographies were developed can be found on the Plan Bay Area 2050 Growth Framework Mapping and Analysis page on GitHub.