100+ datasets found
  1. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 4, 1971 - Jun 18, 2025
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. C

    China CN: Lower Limit of First Home Mortgage Rate: Base Rate Discount:...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hubei: Shiyan [Dataset]. https://www.ceicdata.com/en/china/lower-limit-of-first-home-mortgage-rate-prefecture-level-city/cn-lower-limit-of-first-home-mortgage-rate-base-rate-discount-hubei-shiyan
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 26, 2019 - Oct 7, 2019
    Area covered
    China
    Description

    Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hubei: Shiyan data was reported at 70.000 % in 07 Oct 2019. This stayed constant from the previous number of 70.000 % for 06 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hubei: Shiyan data is updated daily, averaging 70.000 % from Jan 2019 (Median) to 07 Oct 2019, with 280 observations. The data reached an all-time high of 70.000 % in 07 Oct 2019 and a record low of 70.000 % in 07 Oct 2019. Lower Limit of First Home Mortgage Rate: Base Rate Discount: Hubei: Shiyan data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

  3. T

    Euro Area Interest Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Euro Area Interest Rate [Dataset]. https://tradingeconomics.com/euro-area/interest-rate
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 18, 1998 - Jun 5, 2025
    Area covered
    Euro Area
    Description

    The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. o

    Data and Code for: Shopping for Lower Sales Tax Rates

    • openicpsr.org
    stata
    Updated Apr 19, 2020
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    Scott Baker; Stephanie Johnson; Lorenz Kueng (2020). Data and Code for: Shopping for Lower Sales Tax Rates [Dataset]. http://doi.org/10.3886/E119022V1
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    stataAvailable download formats
    Dataset updated
    Apr 19, 2020
    Dataset provided by
    American Economic Association
    Authors
    Scott Baker; Stephanie Johnson; Lorenz Kueng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2004 - 2014
    Area covered
    United States
    Description

    Using comprehensive high-frequency state and local sales tax data, we show that shopping behavior responds strongly to changes in sales tax rates. Even though sales taxes are not observed in posted prices and have a wide range of rates and exemptions, consumers adjust in many dimensions. They stock up on storable goods before taxes rise and increase online and cross-border shopping in both the short and long run. The difference between short- and long-run spending responses has important implications for the efficacy of using sales taxes for counter-cyclical policy and for the design of an optimal tax framework. Interestingly, households adjust spending similarly for both taxable and tax-exempt goods. We embed an inventory problem into a continuous-time consumption-savings model and demonstrate that this behavior is optimal in the presence of shopping trip fixed costs. The model successfully matches estimated short-run and long-run tax elasticities. We provide additional evidence in favor of this new shopping-complementarity mechanism.

  5. Methods used to reduce flight operations costs 2020

    • statista.com
    Updated Nov 21, 2023
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    Statista (2023). Methods used to reduce flight operations costs 2020 [Dataset]. https://www.statista.com/statistics/1166836/flight-operations-cost-reduce-methods/
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    Dataset updated
    Nov 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    According to a survey carried out in 2020, 71 percent of respondents from the aviation industry stated that pairing design efficiency is one of the methods used to manage flight operations costs. The same report revealed that contract strategy is another important factor to improve operational efficiency and cut costs.

  6. Interest rate of the central bank South Korea 2012-2025

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Interest rate of the central bank South Korea 2012-2025 [Dataset]. https://www.statista.com/statistics/1235224/south-korea-central-bank-base-rate/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2012 - Feb 2025
    Area covered
    South Korea
    Description

    In Februar 2025, South Korea's central bank reduced the base rate to **** percent. Between May 2020 and January 2023, the rate had seen a continuous increase, impacting especially the housing market during this time.

  7. O

    Fort Collins Water Rate History (with use reduction)

    • opendata.fcgov.com
    application/rdfxml +5
    Updated Sep 12, 2020
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    Utilities (2020). Fort Collins Water Rate History (with use reduction) [Dataset]. https://opendata.fcgov.com/Environmental-Health/Fort-Collins-Water-Rate-History-with-use-reduction/ccfx-fb99
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    tsv, csv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Sep 12, 2020
    Dataset authored and provided by
    Utilities
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Fort Collins
    Description

    History of water rates in Fort Collins. This includes a breakdown of each change and where the rate change is applied, where applicable.

    These data are for the case of estimated reduction in use for the 2003 rate change. For a breakdown without usage reduction, see https://opendata.fcgov.com/d/jyyq-ub9w.

  8. d

    SASP Target 17 - Statewide crime rates

    • data.gov.au
    xlsx
    Updated Dec 8, 2015
    + more versions
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    Department of the Premier and Cabinet (2015). SASP Target 17 - Statewide crime rates [Dataset]. https://data.gov.au/dataset/ds-sa-86901898-325f-452a-b478-8ccb1b1bc8e1
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    xlsxAvailable download formats
    Dataset updated
    Dec 8, 2015
    Dataset provided by
    Department of the Premier and Cabinet
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Reduce victim reported crime by 38% by 2014, maintaining or improving thereafter. Reduce victim reported crime by 38% by 2014, maintaining or improving thereafter.

  9. A

    Antigua and Barbuda AG: Risk Premium on Lending: Lending Rate Minus Treasury...

    • ceicdata.com
    • dr.ceicdata.com
    Updated Dec 15, 2022
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    CEICdata.com (2022). Antigua and Barbuda AG: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate [Dataset]. https://www.ceicdata.com/en/antigua-and-barbuda/interest-rates/ag-risk-premium-on-lending-lending-rate-minus-treasury-bill-rate
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Antigua and Barbuda
    Variables measured
    Money Market Rate
    Description

    Antigua and Barbuda AG: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data was reported at 6.997 % pa in 2018. This records an increase from the previous number of 6.645 % pa for 2017. Antigua and Barbuda AG: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data is updated yearly, averaging 4.624 % pa from Dec 1982 (Median) to 2018, with 37 observations. The data reached an all-time high of 6.997 % pa in 2018 and a record low of 2.380 % pa in 1988. Antigua and Barbuda AG: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Antigua and Barbuda – Table AG.World Bank.WDI: Interest Rates. Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the 'risk free' treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers its best corporate clients to be lower risk than the government. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics database.;;

  10. China CN: Lower Limit of First Home Mortgage Rate: above LPR: Hebei: Handan

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Lower Limit of First Home Mortgage Rate: above LPR: Hebei: Handan [Dataset]. https://www.ceicdata.com/en/china/lower-limit-of-first-home-mortgage-rate-prefecture-level-city/cn-lower-limit-of-first-home-mortgage-rate-above-lpr-hebei-handan
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 12, 2024 - May 23, 2024
    Area covered
    China
    Description

    Lower Limit of First Home Mortgage Rate: above LPR: Hebei: Handan data was reported at -0.200 % Point in 23 May 2024. This stayed constant from the previous number of -0.200 % Point for 22 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Hebei: Handan data is updated daily, averaging 0.000 % Point from Oct 2019 (Median) to 23 May 2024, with 1690 observations. The data reached an all-time high of 0.000 % Point in 16 May 2022 and a record low of -0.200 % Point in 23 May 2024. Lower Limit of First Home Mortgage Rate: above LPR: Hebei: Handan data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MA: Lower Limit of First Home Mortgage Rate: Prefecture Level City.

  11. Death rates for the leading causes of death in lower-middle income countries...

    • statista.com
    Updated Aug 23, 2024
    + more versions
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    Statista (2024). Death rates for the leading causes of death in lower-middle income countries in 2021 [Dataset]. https://www.statista.com/statistics/311937/top-ten-causes-of-death-in-lower-middle-income-countries/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, the leading causes of death in lower-middle income countries worldwide were COVID-19, ischemic heart disease, and stroke. That year, the death rate for COVID-19 in lower-middle income countries was around 131 per 100,000 population. This statistic displays the rates of death for the leading causes of death in lower-middle income countries in 2021.

  12. Cost decrease from analytical AI use in companies worldwide 2024, by...

    • statista.com
    Updated May 5, 2025
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    Statista (2025). Cost decrease from analytical AI use in companies worldwide 2024, by function [Dataset]. https://www.statista.com/statistics/1610952/cost-decrease-by-ai-analytics-enterprise/
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    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    The greatest cost reduction overall from analytical AI use was in service operations, where AI is capable of assisting in a multitude of roles, reducing overall costs. The highest ration of most cost, that is with savings over 20 percent, were in risk, legal, and compliance. This is likely because this is an expensive field, and any work hour saved in it reduces overall cost significantly.

  13. Real Estate Loans & Collateralized Debt in the US - Market Research Report...

    • ibisworld.com
    Updated Feb 15, 2025
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    IBISWorld (2025). Real Estate Loans & Collateralized Debt in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/real-estate-loans-collateralized-debt-industry/
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The industry is composed of non-depository institutions that conduct primary and secondary market lending. Operators in this industry include government agencies in addition to non-agency issuers of mortgage-related securities. Through 2025, rising per capita disposable income and low levels of unemployment helped fuel the increase in primary and secondary market sales of collateralized debt. Nonetheless, due to the pandemic and the sharp contraction in economic activity in 2020, revenue gains were limited, but have climbed as the economy has normalized and interest rates shot up to tackle rampant inflation. However, in 2024 the Federal Reserve cut interest rates as inflationary pressures eased and is expected to be cut further in 2025. Overall, these trends, along with volatility in the real estate market, have caused revenue to slump at a CAGR of 1.5% to $485.0 billion over the past five years, including an expected decline of 1.1% in 2025 alone. The high interest rate environment has hindered real estate loan demand and caused industry profit to shrink to 11.6% of revenue in 2025. Higher access to credit and higher disposable income have fueled primary market lending over much of the past five years, increasing the variety and volume of loans to be securitized and sold in secondary markets. An additional boon for institutions has been an increase in interest rates in the latter part of the period, which raised interest income as the spread between short- and long-term interest rates increased. These macroeconomic factors, combined with changing risk appetite and regulation in the secondary markets, have resurrected collateralized debt trading since the middle of the period. Although the FED cut interest rates in 2024, this will reduce interest income for the industry but increase loan demand. Although institutions are poised to benefit from a strong economic recovery as inflationary pressures ease, relatively steady rates of homeownership, coupled with declines in the 30-year mortgage rate, are expected to damage the primary market through 2030. Shaky demand from commercial banking and uncertainty surrounding inflationary pressures will influence institutions' decisions on whether or not to sell mortgage-backed securities and commercial loans to secondary markets. These trends are expected to cause revenue to decline at a CAGR of 0.8% to $466.9 billion over the five years to 2030.

  14. Global renewable energy cost reduction 2018-2030, by source

    • statista.com
    Updated Feb 8, 2023
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    Statista (2023). Global renewable energy cost reduction 2018-2030, by source [Dataset]. https://www.statista.com/statistics/1200630/renewables-cost-reduction-by-source/
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    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    Renewables have become the lowest-cost source of power generation. By 2030, the global weighted average levelized cost of electricity (LCOE) for solar photovoltaics is expected to have a 58 percent reduction from 2018. The other cost-competitive source of renewable energy was offshore wind with its technological improvements in recent years.

  15. Rate of reduced working times due to pregnancy in South Korea 2017-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Rate of reduced working times due to pregnancy in South Korea 2017-2023 [Dataset]. https://www.statista.com/statistics/1412700/south-korea-reduced-work-times-pregnancy-rate/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    According to a survey conducted in South Korea for the time period of 2023, around ** percent of respondents stated that they had not reduced their work time during or after pregnancy. The actual rate of employees making use of this system has been consistently low.

  16. a

    Goal 10: Reduce inequality within and among countries

    • senegal2-sdg.hub.arcgis.com
    • honduras-1-sdg.hub.arcgis.com
    • +12more
    Updated Jul 1, 2022
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    arobby1971 (2022). Goal 10: Reduce inequality within and among countries [Dataset]. https://senegal2-sdg.hub.arcgis.com/datasets/cea6440cb3bd405d95d8d491270ca6df
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    Dataset updated
    Jul 1, 2022
    Dataset authored and provided by
    arobby1971
    Description

    Goal 10Reduce inequality within and among countriesTarget 10.1: By 2030, progressively achieve and sustain income growth of the bottom 40 per cent of the population at a rate higher than the national averageIndicator 10.1.1: Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total populationSI_HEI_TOTL: Growth rates of household expenditure or income per capita (%)Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other statusIndicator 10.2.1: Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilitiesSI_POV_50MI: Proportion of people living below 50 percent of median income (%)Target 10.3: Ensure equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws, policies and practices and promoting appropriate legislation, policies and action in this regardIndicator 10.3.1: Proportion of population reporting having personally felt discriminated against or harassed in the previous 12 months on the basis of a ground of discrimination prohibited under international human rights lawVC_VOV_GDSD: Proportion of population reporting having felt discriminated against, by grounds of discrimination, sex and disability (%)Target 10.4: Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equalityIndicator 10.4.1: Labour share of GDPSL_EMP_GTOTL: Labour share of GDP (%)Indicator 10.4.2: Redistributive impact of fiscal policySI_DST_FISP: Redistributive impact of fiscal policy, Gini index (%)Target 10.5: Improve the regulation and monitoring of global financial markets and institutions and strengthen the implementation of such regulationsIndicator 10.5.1: Financial Soundness IndicatorsFI_FSI_FSANL: Non-performing loans to total gross loans (%)FI_FSI_FSERA: Return on assets (%)FI_FSI_FSKA: Regulatory capital to assets (%)FI_FSI_FSKNL: Non-performing loans net of provisions to capital (%)FI_FSI_FSKRTC: Regulatory Tier 1 capital to risk-weighted assets (%)FI_FSI_FSLS: Liquid assets to short term liabilities (%)FI_FSI_FSSNO: Net open position in foreign exchange to capital (%)Target 10.6: Ensure enhanced representation and voice for developing countries in decision-making in global international economic and financial institutions in order to deliver more effective, credible, accountable and legitimate institutionsIndicator 10.6.1: Proportion of members and voting rights of developing countries in international organizationsSG_INT_MBRDEV: Proportion of members of developing countries in international organizations, by organization (%)SG_INT_VRTDEV: Proportion of voting rights of developing countries in international organizations, by organization (%)Target 10.7: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policiesIndicator 10.7.1: Recruitment cost borne by employee as a proportion of monthly income earned in country of destinationIndicator 10.7.2: Number of countries with migration policies that facilitate orderly, safe, regular and responsible migration and mobility of peopleSG_CPA_MIGRP: Proportion of countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (%)SG_CPA_MIGRS: Countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (1 = Requires further progress; 2 = Partially meets; 3 = Meets; 4 = Fully meets)Indicator 10.7.3: Number of people who died or disappeared in the process of migration towards an international destinationiSM_DTH_MIGR: Total deaths and disappearances recorded during migration (number)Indicator 10.7.4: Proportion of the population who are refugees, by country of originSM_POP_REFG_OR: Number of refugees per 100,000 population, by country of origin (per 100,000 population)Target 10.a: Implement the principle of special and differential treatment for developing countries, in particular least developed countries, in accordance with World Trade Organization agreementsIndicator 10.a.1: Proportion of tariff lines applied to imports from least developed countries and developing countries with zero-tariffTM_TRF_ZERO: Proportion of tariff lines applied to imports with zero-tariff (%)Target 10.b: Encourage official development assistance and financial flows, including foreign direct investment, to States where the need is greatest, in particular least developed countries, African countries, small island developing States and landlocked developing countries, in accordance with their national plans and programmesIndicator 10.b.1: Total resource flows for development, by recipient and donor countries and type of flow (e.g. official development assistance, foreign direct investment and other flows)DC_TRF_TOTDL: Total assistance for development, by donor countries (millions of current United States dollars)DC_TRF_TOTL: Total assistance for development, by recipient countries (millions of current United States dollars)DC_TRF_TFDV: Total resource flows for development, by recipient and donor countries (millions of current United States dollars)Target 10.c: By 2030, reduce to less than 3 per cent the transaction costs of migrant remittances and eliminate remittance corridors with costs higher than 5 per centIndicator 10.c.1: Remittance costs as a proportion of the amount remittedSI_RMT_COST: Remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_BC: Corridor remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_SC: SmaRT corridor remittance costs as a proportion of the amount remitted (%)

  17. d

    Dataset: Aggregations reduce winter metabolic rates in the diapausing...

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
    zip
    Updated Jan 27, 2022
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    Andre Szejner-Sigal; Caroline Williams (2022). Dataset: Aggregations reduce winter metabolic rates in the diapausing ladybeetle Hippodamia convergens [Dataset]. http://doi.org/10.6078/D1099S
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    zipAvailable download formats
    Dataset updated
    Jan 27, 2022
    Dataset provided by
    Dryad
    Authors
    Andre Szejner-Sigal; Caroline Williams
    Time period covered
    2021
    Description

    Energy conservation is linked to survival and fitness of overwintering ectotherms, and is particularly critical in winter. Although many insects overwinter individually, some form aggregations with conspecifics. Aggregations cause metabolic suppression in some insects, but the effect of aggregations on metabolic rates and energy use in overwintering aggregations remains underexplored. The convergent ladybeetle (Hippodamia convergens) overwinters in massive aggregations, making it an ideal system for testing the effect of aggregation size on metabolic rates in overwintering insects. We measured metabolic rates of beetle aggregations of 1, 10, 25, and 50 individuals using stop-flow respirometry across two ecologically relevant temperatures, and measured locomotor activity as one possible driver of group effects on metabolic rate. Metabolic rates per beetle decreased with increasing aggregation size at both temperatures, but was more pronounced at low temperatures. Metabolic rates scaled h...

  18. d

    LCREP growth rates - Lower Columbia River Ecosystem Monitoring Project

    • catalog.data.gov
    Updated May 24, 2025
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    (Point of Contact, Custodian) (2025). LCREP growth rates - Lower Columbia River Ecosystem Monitoring Project [Dataset]. https://catalog.data.gov/dataset/lcrep-growth-rates-lower-columbia-river-ecosystem-monitoring-project2
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    Dataset updated
    May 24, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Columbia River
    Description

    1) The purpose of this project is to document juvenile salmon habitat occurrence in the Lower Columbia River and estuary, and examine how habitat conditions influence their distribution, health, and abundance. We also want to monitor habitat conditions and indicators of salmon health in these environments. Parameters measured include habitat conditions such as vegetation, water temperature, and dissolved oxygen; salmon diet and prey availability; weight, length, growth rate, lipid content, genetic stock, and chemical contaminant exposure. 2) Lyndal Johnson (NFWSC FTE) is the project lead, and other primary staff involved are Sean Sol and Paul Olson (NWFSC FTEs) and Kate Macneale (NWFSC term employee), but the project also involves other NWFSC FTEs, other term employees, contractors, and staff from other programs (Environmental Chemistry) and Divisions (FE, CB), as well as staff from collaborating agencies (i.e, the Lower Columbia River Estuary Partnership, USGS, PNNL, OHSU). 3) The project involves field surveys in which parameters measured include habitat conditions such as vegetation, water temperature, and dissolved oxygen; salmon diet and prey availability; weight, length, growth rate, lipid content, genetic stock, and chemical contaminant exposure. 4) Specific products include annual reports for the Lower Columbia Estuary Partnership, and manuscripts in peer-reviewed journals. 5) Specific audiences include (but are not limited to) the Bonneville Power Administration and other federal, state, and local agencies involved with salmon recovery and environmental management in the Columbia Basin (e.g., EPA, Washington Department of Ecology, Oregon Department of Environmental Quality, the City of Portland); the NMFS regional office, and other agency and academic scientists. 6) This is a stand-alone project, but it is also a component of a larger monitoring program overseen by the Estuary Partnership in which other tasks are conducted by collaborators in USGS, PNNL, and OHSU. 7) This is an ongoing project with a soft completion deadline; however, there are no final deadlines with specific tasks to be completed on a yearly basis. Growth rates of chinook salmon from Lower Columbia sites estimated from otolith analyses.

  19. g

    AI Search Data for "how to reduce cart abandonment rate"

    • geneo.app
    html
    Updated Jul 1, 2025
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    Geneo (2025). AI Search Data for "how to reduce cart abandonment rate" [Dataset]. https://geneo.app/query-reports/how-to-reduce-cart-abandonment-rate
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    htmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Geneo
    Description

    Brand performance data collected from AI search platforms for the query "how to reduce cart abandonment rate".

  20. T

    World - Lower Secondary Completion Rate, Total

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 6, 2017
    + more versions
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    TRADING ECONOMICS (2017). World - Lower Secondary Completion Rate, Total [Dataset]. https://tradingeconomics.com/world/lower-secondary-completion-rate-total-percent-of-relevant-age-group-wb-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 6, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    Lower secondary completion rate, total (% of relevant age group) in World was reported at 74.66 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Lower secondary completion rate, total - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate

United States Fed Funds Interest Rate

United States Fed Funds Interest Rate - Historical Dataset (1971-08-04/2025-06-18)

Explore at:
126 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset updated
Jul 15, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Aug 4, 1971 - Jun 18, 2025
Area covered
United States
Description

The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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