11 datasets found
  1. F

    Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50107
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    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

  2. Size of Federal Reserve's balance sheet 2007-2025

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Size of Federal Reserve's balance sheet 2007-2025 [Dataset]. https://www.statista.com/statistics/1121448/fed-balance-sheet-timeline/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2007 - Jun 25, 2025
    Area covered
    United States
    Description

    The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately **** trillion U.S. dollars by June 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic - both of which resulted in negative annual GDP growth in the U.S. - showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by *************, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in ***********, before the first rate cut since ************** occurred in **************. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2023, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

  3. Share of U.S. households with negative equity 2011-2016

    • statista.com
    Updated Feb 1, 2021
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    Statista (2021). Share of U.S. households with negative equity 2011-2016 [Dataset]. https://www.statista.com/statistics/460599/share-of-households-with-negative-equity-usa/
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    Dataset updated
    Feb 1, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic presents the share of households in the United States with negative equity from 2011 to 2016. In 2016, 6.2 percent of the U.S. households had a negative home equity, which means that mortgage secured by the value of a house was worth more than the value of the house itself.

  4. F

    Net saving as a percentage of gross national income

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
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    (2025). Net saving as a percentage of gross national income [Dataset]. https://fred.stlouisfed.org/series/W207RC1Q156SBEA
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net saving as a percentage of gross national income (W207RC1Q156SBEA) from Q1 1947 to Q1 2025 about national income, GNI, savings, gross, Net, percent, income, GDP, and USA.

  5. Bank of America ROE 2007-2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 13, 2025
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    Statista (2025). Bank of America ROE 2007-2024 [Dataset]. https://www.statista.com/statistics/1046498/bank-of-america-roe/
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    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, United States
    Description

    Bank of America's return on equity (ROE) - calculated by dividing net income by shareholders' equity - fluctuated significantly between 2007 and 2024. The ROE was 8.65 percent in 2024, down from 8.71 percent in 2023. In the observed period, the ROE of the bank was the highest in 2021, and the lowest in 2010, at negative 1.56 percent.

  6. F

    Data from: Personal Saving Rate

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
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    (2025). Personal Saving Rate [Dataset]. https://fred.stlouisfed.org/series/PSAVERT
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to May 2025 about savings, personal, rate, and USA.

  7. a

    Tree Equity Score Austin

    • austin.hub.arcgis.com
    Updated Jul 21, 2021
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    City of Austin (2021). Tree Equity Score Austin [Dataset]. https://austin.hub.arcgis.com/maps/29a5b7b3349747b19c6e890551290064
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    Dataset updated
    Jul 21, 2021
    Dataset authored and provided by
    City of Austin
    Area covered
    Description

    Date of Publication: 07/21/2021Name of Person Responsible: Alan HalterDate to be removed/updated: Ongoing updates. Last updated on 10/61/2021.This map includes the variables used to calculate Tree Equity Scores for Austin, Texas. For more information, contact the original data author, American Forests. Layer colors are HEX F99D3E (orange) to 6CC396 (green).A Tree Equity Score is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods (defined as Census Block Groups). It is derived from tree canopy cover, climate, demographic and socioeconomic data. Geographies represent selected Census blockgroups for Caldwell, Hays, Travis, and Williamson counties. They cover the Census "urbanized area" for Austin and might not represent the full City of Austin jurisdiction.The score is calculated at the neighborhood (block group) level.Methodology (For more information about methodology, visit https://treeequityscore.org/methodology/ )Step 1: A Neighborhood GoalDensity Adjusted Canopy TargetThe canopy target – which is meant to be equitable, aspirational and achievable – requires the following data:Tree canopy cover. High resolution tree canopy where available, the National Land Cover Database where it is not.Census American Community Survey (ACS) 2018 5-year Block Group population estimatesCensus ACS 2018 5-year city and block group Median Income estimatesTo identify a baseline canopy target, we use generalized natural biome baseline targets selected in conjunction with the USDA Forest Service. We select the baseline target based on the location of the municipality.Forest: 40%Grassland: 20%Desert: 15%This target is then adjusted based on population density to estimate a neighborhood goal. Based on research completed by The Nature Conservancy, adjustments are made using the following table:Adjusting for population density makes for more achievable targets, while recognizing differences in plantable areas suitable for tree canopy. Note: Neighborhood goals are capped at 150% of the natural biome baseline target.The formula for each neighborhood goal, GOAL, is as follows:GOAL = Baseline target * Density adjustment factorStep 2: The Canopy GapThe neighborhood canopy gap, GAP, is calculated by subtracting the existing neighborhood canopy from the density adjusted target, that is: GAP = GOAL – EC, where EC is % existing canopy for that neighborhoodThe canopy Gap is then normalized to a score from 0-100.GAPScore = 100 * GAP / GAPmax , where:GAPmax is the maximum GAP value citywide for that indicator; andNotes: If the GAP is negative (i.e. Existing canopy is greater than the neighborhood goal), it is adjusted to 0 before normalizing to create the gap score. Also, if Gapmax = 0, then GapScore is set to 0 as well.Step 3: The Priority IndexThe Priority Index is developed to help prioritize the need for planting to achieve Tree Equity. The priority index includes the following equally-weighted characteristics:Income: Percentage of population below 200% of povertyEmployment: Unemployment rateRace: Percentage of people who are not white non-HispanicAge: Ratio of seniors and children to working-age adultsClimate: Urban Heat Island severityHealth: Prevalence of poor mental, physical, respiratory, and cardiac health (composite index)These measures are normalized and combined to create a simple priority index from 0 to 1, where 1 indicates a greater amount of inequity. The indices, N, are calculated as follows:Ni = (xi - xi,min ) / (xi,max - xi,min) , where, for each indicator, Ni,xi is the value for that neighborhood for that indicator, i;xi,max is the maximum value citywide for that indicator, i; andxi,min is the minimum value citywide for that indicator, i.The Priority index, E, is then calculated as follows: E = (N1 + N2 + N3 + N4 + N5 + N6) / 6 , where Ni refers to each indicator value (income, employment, race, age, or climate)Step 4: Tree Equity ScoreTree Equity Score, TES, is calculated by multiplying the Baseline Gap Score by the Priority Index, simply:TES = 100 (1 - GAPScore E)A lower Tree Equity Score indicates a greater priority for closing the tree canopy gap.Tree equity scores of 100 indicate tree equity has been achieved.Data Dictionarygeoid: the blockgroup idtotal_pop: the total population of the block groupstate: the state the blockgroup is incounty: the county the blockgroup is inpctpov: the percent of people in poverty inside the blockgrouppctpoc: the percent of people of color inside the block groupunemplrate: the unemployment rate inside of the block groupmedhhinc: the median household income of the block groupdep_ratio: the dependency ratio (childrens + seniors / 18-64 adults)child_perc: the percent of children inside of the blockgroupseniorperc: the percent of seniors inside of the blockgrouparea: the area of the blockgroup in square kilometerssource: the source of the tree canopy of the block groupavg_temp: the average temperature of the blockgroup on a hot summer's dayua_name: the urbanized area the block group is located insideincorpname: the incorporated place the block group is located insidecongressio: the congressional district of the block groupbgpopdense: the density of the blockgroup (total population over area)popadjust: the population adjustment factor (based on the population density)biome: the biome of the blockgroupbaselinecanopy: baseline tree canopy target generalized to natural biome (percent)treecanopy: the tree canopy percentage of the blockgroup (set to negative 1 if the source is 'ED')tc_gap: the tree canopy gap of the block group (goal minus canopy)tc_goal: the tree canopy goal of the block group (set to negative 1 if the source is 'ED')phys_hlth: the self reported physical health challenges of the people in the block group (a percentage)ment_hlth: the self reported mental health challenges of people in the block group (a percentage)asthma: the self reported asthma challenges of people in the block group (a percentage)core_m: the self reported male coronary heart challenges of people in the block group (a percentage)core_w: the self reported female coronary heart challenges of people in the block group (a percentage)core_norm: the normalized total coronary challenges of people in the block grouphealthnorm: the normalized health index of the block grouppriority: the priority index of the block grouptes: the tree equity score of the block grouptesctyscor: the tree equity score of the incorporated place/municipality of the block group

  8. Y-o-y quarterly net income growth of U.S. banking industry 2007-2023

    • statista.com
    Updated Jul 25, 2023
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    Statista (2023). Y-o-y quarterly net income growth of U.S. banking industry 2007-2023 [Dataset]. https://www.statista.com/statistics/1097062/us-bank-industry-income-growth-rate-per-quarter/
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    Dataset updated
    Jul 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Net income of the U.S. banking industry - including commercial banks and savings institutions - declined much more in 2008 than in 2022. The lowest growth rate was measured in the third quarter of 2008, when the net income of the banking industry was 94 percent less than in the same quarter of the previous year. After the global financial crisis in 2007/2008, the growth rate experienced a surge in 2009 and 2010. Between 2011 and 2019, it remained relatively stable, with less extreme fluctuations. As the COVID-19 pandemic - and with it the economic downturn - hit the economy of the U.S., the growth rate dropped again in 2020, then increased in 2021. The first half of 2022 brought another negative growth rate. As of the first quarter of 2023, the quarterly income growth rate of the American banking industry was 33.6 percent.

  9. U.S. households that paid no income tax 2022, by income level

    • statista.com
    • ai-chatbox.pro
    Updated Aug 21, 2024
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    Statista (2024). U.S. households that paid no income tax 2022, by income level [Dataset]. https://www.statista.com/statistics/242138/percentages-of-us-households-that-pay-no-income-tax-by-income-level/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In total, about 59.9 percent of U.S. households paid income tax in 2022. The remaining 40.1 percent of households paid no individual income tax. In that same year, about 47.1 percent of U.S. households with an income between 40,000 and 50,000 U.S. dollars paid no individual income taxes.

  10. F

    Real Disposable Personal Income

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
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    (2025). Real Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/DSPIC96
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to May 2025 about disposable, personal income, personal, income, real, and USA.

  11. Quarterly GPV (gross payment volume) of Block (Square) payments 2015-2025,...

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Quarterly GPV (gross payment volume) of Block (Square) payments 2015-2025, in USD [Dataset]. https://www.statista.com/statistics/575342/square-quarterly-payment-volume/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the first quarter of 2025, the gross payment volume of Square's owner Block had grown by *** percent compared to the same quarter one year before – a decrease in growth. Although the absolute value of payments processed by the company formerly known as Square reached an all-time high in Q1 2025, year-on-year percentage changes kept declining when compared to 2021. This could be attributed to slower growth in cryptocurrency popularity since late 2021, a hallmark of Block's business model. Square: A focus on North America The brand Square is one of several payment gateways that exist within North America. The United States payment gateway market was estimated at ** billion U.S. dollars in 2023, a higher total than various countries combined. Square is a predominantly focused on North America: ***** out of 10 websites worldwide that use Square as a check-out option in 2023 came from either the United States or Canada. The company Square was acquired by and legally changed into Block in December 2021, although the brand name Square continued to be used. Shortly after, Block announced its takeover of BNPL brand Afterpay — an Australian brand that also was popular in the United States — to further extend its payment ecosystem. Company performance: Achieving the Rule of 40 Block's quarterly GPV reveals the company faced declining growth. The company announced in Q3 2023 it had to refocus operations to achieve the so-called Rule of 40 by 2026. This meant the combined gross profit growth and adjusted operating income margin had to reach or go beyond ** percent. To reach this, Block announced it would put a cap on new hires, possibly lowering their number of employees before the end of 2025 to increase the company's operating margin. The changes follow Block recorded several quarters in a row of negative net income.

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(2025). Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50107

Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles)

WFRBLB50107

Explore at:
8 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 20, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

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