17 datasets found
  1. Average savings per household in Canada 2000-2024, by age group

    • tokrwards.com
    • statista.com
    Updated Jan 20, 2025
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    Fernando de Querol Cumbrera (2025). Average savings per household in Canada 2000-2024, by age group [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F5659%2Fbanking-industry-in-canada%2F%23D%2FIbH0Phabzc8oKQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Fernando de Querol Cumbrera
    Area covered
    Canada
    Description

    Households where the major income earner was from 35 to 44 years old had the highest amount of net savings in 2024. That segment saved on average nearly 23,430 Canadian dollars that year alone. Households of individuals older than 64 had negative net savings amounting to 11,670 Canadian dollars, which means that their expenses were higher than their revenue. These figures do not show the overall value of savings accumulated in bank accounts and other assets, but the amount of money that households managed to save in a single year.

  2. Average monthly savings in Spain 2018

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Average monthly savings in Spain 2018 [Dataset]. https://www.statista.com/statistics/1034003/average-monthly-savings-in-spain/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018
    Area covered
    Spain
    Description

    Most Spaniards managed to save an amount of under *********** euros with their monthly salaries in 2018, according to the latest data. The share of respondents that did not have any monthly savings stood nearly at ** percent, while ** percent stated they could save an amount between *** and ************ euros. In contrast, only about *** percent of the surveyed population stated they succeeded to save over ************ euros on a monthly basis.

    Low salaries are Spain’s main problem when putting money aside

    The share of Spaniards that did not manage to save up each month fluctuated in the recent years, with its highest point registered in 2014 at ** percent of the surveyed population. Spaniards confirmed that the main reason why it was hard for them to save some money at the end of the month was the fact that their salaries were too low to achieve so. Some ** percent of the respondents stated they did not manage to save enough money due to unexpected expenses, although almost ** percent also pointed at their whims as the main reason for not putting some money aside.

    Money for a rainy day and retirement: Spain’s major reasons to save up

    Most Spaniards decided to deposit their savings into their bank accounts over other methods to keep their money, with a share of ** percent of respondents. According to the study, only approximately ** percent of the population preferred to keep their money in cash and merely *** percent invested their savings in other industries, such as art or jewelry. With a share of roughly ** percent of respondents, saving money for a rainy day topped the list of leading factors that motivated Spaniards to put money aside. Half of the Spaniards stated to have been saving for their travel expenses, while some ** percent also confirmed they intended to save for retirement. In contrast, only ** percent of Spaniards were saving so they could afford a smartphone.

  3. Savings Banks in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 19, 2025
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    IBISWorld (2025). Savings Banks in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/savings-banks/684/
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    Dataset updated
    Sep 19, 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
    Germany
    Description

    The savings banks sector has seen mixed development over the past five years. Since 2020, turnover, consisting of interest and commission income, has only increased by an average of 1.3% per year. This was due to the long period of low interest rates, which made it difficult for institutions to generate profitable income from traditional business. A significant upturn followed when the European Central Bank raised the key interest rate to curb high inflation in Europe, resulting in a noticeable increase in interest income. At the same time, however, external factors such as the tense global economic situation, demographic change and persistently high inflation are weighing on business. In particular, the declining number of young borrowers and the growing age of existing customers in rural regions are having a lasting impact on customer demographics. Turnover of 44.8 billion euros is forecast for 2025, which corresponds to a moderate increase of 0.4% compared to the previous year. Despite higher interest rates, the economy is noticeably weakening the lending and investment business. Savings banks must therefore both react to volatile interest income and flexibly adapt their business models, for example through digital offerings, hybrid advisory models and targeted product innovations, in order to secure turnover and profitability in the long term.The digitalisation of society is also fundamentally changing the sector. Branches are being closed and staff cut. Companies are increasingly conducting their business online and utilising modern technologies. However, the investments associated with the integration of apps and online banking into business processes, as well as the high personnel costs in relation to turnover, have led to a reduction in profit margins during the low-interest phase. The pandemic-related increase in write-downs on non-performing loans and intensified price competition are also likely to have contributed to this. The sector is characterised above all by its strong focus on small and medium-sized enterprises. Savings banks account for a high percentage of loan financing for these companies, but banks from outside the sector, fintechs and other competitors are also pushing into this market. For the next five years, IBISWorld expects sales to increase slightly. The industry's turnover is expected to grow by an average of 0.5% per year during this period, meaning that it is likely to reach 45.9 billion euros in 2030. How the industry reacts to change will be shown by how the savings banks and Landesbanken deal with new technologies and their use. At the same time, it can be assumed that increasing regulation and the tightening of rules will weaken the positive effects of the key interest rate hike. The number of institutions and branches as well as the number of employees will continue to decline. However, this should have a positive impact on the profitability of the sector.

  4. Household net saving rate in Germany 2010-2023

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Household net saving rate in Germany 2010-2023 [Dataset]. https://www.statista.com/statistics/1191636/net-household-savings-rate-germany/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The net saving of households and non-profit institutions serving households (NPISHs) in Germany increased by *** percent of household and NPISH net disposable income (**** percent) in 2023 in comparison to the previous year. In total, the net saving amounted to ***** percent of household and NPISH net disposable income in 2023. This increase was preceded by a declining net saving in this industry.Find more statistics on other topics about Germany with key insights such as mutual funds as a percentage of total household financial assets, household shares and other equity, except mutual funds shares and as a percentage of total household financial assets.

  5. Average household net savings Canada 2001-2023

    • tokrwards.com
    • statista.com
    Updated Jan 20, 2025
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    Statista Research Department (2025). Average household net savings Canada 2001-2023 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F5659%2Fbanking-industry-in-canada%2F%23D%2FIbH0Phabzc8oKQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Canada
    Description

    The average value of net savings per household in Canada increased by 332 dollars (+6.63 percent) since the previous year. In total, the average value amounted to 5,342 dollars in 2023. This increase was preceded by a declining average value.

  6. Household savings as share of disposable income in Russia 2011-2019

    • statista.com
    Updated Aug 8, 2024
    + more versions
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    Statista (2024). Household savings as share of disposable income in Russia 2011-2019 [Dataset]. https://www.statista.com/statistics/1227814/net-household-savings-rate-russia/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The net saving of households and non-profit institutions serving households (NPISHs) in Russia decreased by 0.9 percent of household and NPISH net disposable income (-17.31 percent) since the previous year. Nevertheless, the last two years in this industry recorded a significant higher net saving than the preceding years.Find more statistics on other topics about Russia with key insights such as gross adjusted household disposable income and savings rate as a share of household disposable income.

  7. Average interest rate on savings of commercial banks in Indonesia 2016-2025

    • tokrwards.com
    • statista.com
    Updated Sep 5, 2025
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    Statista Research Department (2025). Average interest rate on savings of commercial banks in Indonesia 2016-2025 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F9658%2Fbanking-industry-in-indonesia%2F%23D%2FIbH0Phabzc8oKQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Indonesia
    Description

    As of March 2025, the average interest rate on savings of commercial banks in Indonesia amounted to 0.68 percent. Both commercial and state owned banks share a similar average interest rate for this month.

  8. I

    Mean green water savings through trade of agricultural and industrial...

    • ihp-wins.unesco.org
    • data.amerigeoss.org
    shp
    Updated Feb 5, 2024
    + more versions
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    Intergovernmental Hydrological Programme (2024). Mean green water savings through trade of agricultural and industrial commodities (1996-2005) [Dataset]. https://ihp-wins.unesco.org/dataset/mean-green-water-savings-through-trade-of-agricultural-and-industrial-commodities-1996-2005
    Explore at:
    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, green water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products.Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat

  9. I

    Indonesia Bank Industries: Current Account Saving Account (CASA) to Third...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Indonesia Bank Industries: Current Account Saving Account (CASA) to Third Party Funds [Dataset]. https://www.ceicdata.com/en/indonesia/financial-system-statistics-summary/bank-industries-current-account-saving-account-casa-to-third-party-funds
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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
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    Indonesia
    Description

    Indonesia Bank Industries: Current Account Saving Account (CASA) to Third Party Funds data was reported at 63.386 % in Dec 2024. This records an increase from the previous number of 63.212 % for Nov 2024. Indonesia Bank Industries: Current Account Saving Account (CASA) to Third Party Funds data is updated monthly, averaging 55.622 % from Jan 2014 (Median) to Dec 2024, with 132 observations. The data reached an all-time high of 63.386 % in Dec 2024 and a record low of 51.066 % in Feb 2015. Indonesia Bank Industries: Current Account Saving Account (CASA) to Third Party Funds data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI001: Financial System Statistics: Summary.

  10. I

    Mean grey water savings through trade of agricultural and industrial...

    • ihp-wins.unesco.org
    shp
    Updated Feb 5, 2024
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    Intergovernmental Hydrological Programme (2024). Mean grey water savings through trade of agricultural and industrial commodities (1996-2005) [Dataset]. https://ihp-wins.unesco.org/dataset/mean-grey-water-savings-through-trade-of-agricultural-and-industrial-commodities-1996-2005
    Explore at:
    shpAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, grey water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products.Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat

  11. k

    Development Indicators

    • datasource.kapsarc.org
    Updated Apr 26, 2025
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    (2025). Development Indicators [Dataset]. https://datasource.kapsarc.org/explore/dataset/saudi-arabia-world-development-indicators-1960-2014/
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    Dataset updated
    Apr 26, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

    Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

    Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

  12. Average hourly direct pay in manufacturing industries in 2013, by country

    • thefarmdosupply.com
    • statista.com
    Updated Mar 17, 2015
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    Statista (2015). Average hourly direct pay in manufacturing industries in 2013, by country [Dataset]. https://www.thefarmdosupply.com/?_=%2Fstatistics%2F456416%2Faverage-hourly-direct-pay-in-manufacturing-industries-in-leading-countries%2F%23RslIny40YoL1bbEgyeyUHEfOSI5zbSLA
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    Dataset updated
    Mar 17, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    Worldwide
    Description

    This statistic shows the average hourly direct pay in manufacturing industries for selected countries in 2013. “Direct Pay” includes vacation pay, bonus payments, and employer contributions to employees’ savings funds. In 2013, average hourly direct pay in U.S. manufacturing industries was ***** U.S. dollars.

  13. A

    Mean green water savings through trade of agricultural and industrial...

    • data.amerigeoss.org
    png, wfs, wms
    Updated Jul 26, 2021
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    UNESCO-Water Information Network System by the International Hydrological Programme (2021). Mean green water savings through trade of agricultural and industrial commodities (1996-2005) [Dataset]. https://data.amerigeoss.org/ko_KR/dataset/mean-green-water-savings-through-trade-of-agricultural-and-industrial-commodities-1996-2005
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    wfs, wms, pngAvailable download formats
    Dataset updated
    Jul 26, 2021
    Dataset provided by
    UNESCO-Water Information Network System by the International Hydrological Programme
    Description

    The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, green water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat

  14. d

    All India, Year and Bank wise Penalties collected for not maintaining...

    • dataful.in
    Updated Aug 22, 2025
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    Dataful (Factly) (2025). All India, Year and Bank wise Penalties collected for not maintaining Average Monthly Minimum Balance in Savings Bank Accounts for Public Sector Banks [Dataset]. https://dataful.in/datasets/20485
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    application/x-parquet, csv, xlsxAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Amount
    Description

    This dataset contains the All-India, Year and Bank-wise penalties collected for not maintaining minimum balance.

    Note: 1. Data for 2018-19 is only till September 2018. 2. Major bank mergers happened. SBI with its subsidiaries, Bank of Baroda absorbed Vijaya Bank and Dena Bank, Punjab National Bank merging with Oriental Bank of Commerce and United Bank of India; Union Bank of India merging with Andhra Bank and Corporation Bank; Canara Bank merging with Syndicate Bank; and Indian Bank merging with Allahabad Bank.

  15. Security & Commodity Contracts Brokerage in Germany - Market Research Report...

    • ibisworld.com
    Updated Jan 12, 2024
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    IBISWorld (2024). Security & Commodity Contracts Brokerage in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/security-commodity-contracts-brokerage/1426/
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    Dataset updated
    Jan 12, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Area covered
    Germany
    Description

    In the past five years, the stock exchange and broker industry has recorded an average annual increase in turnover of 1.9%, meaning that industry turnover in the current year is likely to amount to 1.1 billion euros. This corresponds to an increase of 4.6 % compared to the previous year. Over the past five years, the European Central Bank's zero interest rate policy has made alternative savings products less attractive, as they were hardly able to generate any returns. As a result, retail investors also increasingly invested their money in securities. In view of the coronavirus pandemic, the stock markets initially slumped in 2020, but recovered quickly and have since set new records. In 2020, around 2.7 million more retail investors held shares than in the previous year, which is partly due to the slump in share prices and the associated favourable entry into securities trading as well as people's greater interest in their finances. Online brokers in particular were able to expand their business significantly during the crisis and are particularly popular with younger people, as they offer easy access to the stock market and commission-free trading.In the past year, the outbreak of war in Ukraine led to a renewed slump in share prices. In view of rising inflation, the European Central Bank has also gradually raised the key interest rate since July 2022. This is likely to have a negative impact on the sector, as alternative savings products are becoming more attractive again. The pandemic led to a decline in sales for the exchange offices in the sector, as travelling was only possible to a very limited extent. However, significantly more foreign travellers are likely to come to Germany again this year.In the next five years, the industry is likely to achieve average annual sales growth of 1.8% and reach an industry turnover of 1.2 billion euros by 2028. New technologies such as blockchain and distributed ledger technology are likely to increasingly find their way into the industry. In addition, sustainability issues are likely to become increasingly important and corresponding financial products will be offered. Legislators have already decreed that transparency for investors will increase, making it easier for them to make sustainable investments.

  16. Fund Management Activities in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jul 11, 2025
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    IBISWorld (2025). Fund Management Activities in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/fund-management-activities/948/
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    Dataset updated
    Jul 11, 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
    Germany
    Description

    The low interest rate environment that prevailed for a long time, the bull market on the capital markets and the increased savings rate have brought positive growth to the fund industry over the last five years. Between 2020 and 2025, industry turnover increased by an average of 0.5% per year and is expected to amount to €2.3 billion in the current year, which corresponds to an increase of 1.7% compared to the previous year. Despite the overall positive sales trend, however, fund companies are facing tougher competition and increasing regulation. Added to this is the increasing competition from foreign fund companies in the wake of advancing digitalisation and the growing popularity of passively managed funds. The trend towards low-cost passive products is not only directly reducing the earnings of industry players, but is also exerting pressure on the prices of actively managed products. The development of the global capital markets plays a key role in the situation of the fund industry. Over the past five years, these have been characterised by almost continuous price gains, despite their short-term slump in 2020 due to the pandemic. Last year, they reached new all-time highs in some cases. The rising prices of key benchmark indices such as the MSCI World, the S&P 500 and the DAX are benefiting industry players both directly through the income generated on sales and indirectly through the growing profitability of fund products for investors compared to other investment instruments such as fixed-income investments. For the period from 2025 to 2030, IBISWorld forecasts an average annual increase in industry turnover of 1.5% to EUR 2.4 billion in 2030 against the backdrop of an expected positive price trend on the global capital markets. However, smaller fund companies in particular are likely to struggle with the higher costs resulting from the regulations that have been introduced. In combination with the likely intensification of price competition due to the increasing market entry of foreign fund companies, the profitability of this sector is likely to stagnate over the next five years. Although the profit margins of the fund industry in Germany remain at a high level, they are coming under increasing pressure, particularly due to rising regulatory requirements such as ESG disclosure obligations, growing competition from low-cost ETFs and the need to invest in digitalisation and recruitment.

  17. F

    Deposits, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated Oct 3, 2025
    + more versions
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    (2025). Deposits, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/DPSACBW027SBOG
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    jsonAvailable download formats
    Dataset updated
    Oct 3, 2025
    License

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

    Description

    Graph and download economic data for Deposits, All Commercial Banks (DPSACBW027SBOG) from 1973-01-03 to 2025-09-24 about deposits, banks, depository institutions, and USA.

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Fernando de Querol Cumbrera (2025). Average savings per household in Canada 2000-2024, by age group [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F5659%2Fbanking-industry-in-canada%2F%23D%2FIbH0Phabzc8oKQxRXLgxTyDkFTtCs%3D
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Average savings per household in Canada 2000-2024, by age group

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Dataset updated
Jan 20, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Fernando de Querol Cumbrera
Area covered
Canada
Description

Households where the major income earner was from 35 to 44 years old had the highest amount of net savings in 2024. That segment saved on average nearly 23,430 Canadian dollars that year alone. Households of individuals older than 64 had negative net savings amounting to 11,670 Canadian dollars, which means that their expenses were higher than their revenue. These figures do not show the overall value of savings accumulated in bank accounts and other assets, but the amount of money that households managed to save in a single year.

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