Because of their restricted access to financial resources, couples undergoing economic distress are more likely to live in disadvantaged neighborhoods than are financially well-off couples. The link between individual economic distress and community-level economic disadvantage raises the possibility that these two conditions may combine or interact in important ways to influence the risk of intimate violence against women. This study examined whether the effect of economic distress on intimate violence was stronger in disadvantaged or advantaged neighborhoods or was unaffected by neighborhood conditions. This project was a secondary analysis of data drawn from Waves 1 and 2 of the National Survey of Families and Households (NSFH) and from the 1990 United States Census. From the NSFH, the researchers abstracted data on conflict and violence among couples, as well as data on their economic resources and well-being, the composition of the household in which the couple lived, and a large number of socio-demographic characteristics of the sample respondents. From the 1990 Census, the researchers abstracted tract-level data on the characteristics of the census tracts in which the NSFH respondents lived. Demographic information contains each respondent's race, sex, age, education, income, relationship status at Wave 1, marital status at Wave 1, cohabitation status, and number of children under 18. Using variables abstracted from both Wave 1 and Wave 2 of the NSFH and the 1990 Census, the researchers constructed new variables, including degree of financial worry and satisfaction for males and females, number of job strains, number of debts, changes in debts between Wave 1 and Wave 2, changes in income between Wave 1 and Wave 2, if there were drinking and drug problems in the household, if the female was injured, number of times the female was victimized, the seriousness of the violence, if the respondent at Wave 2 was still at the Wave 1 address, and levels of community disadvantage.
As of September 2024, JPMorgan Chase Bank led U.S. financial institutions with the highest Tier 1 capital, a key measure of a bank's financial strength. Tier 1 capital, comprising core capital including equity and disclosed reserves, is a crucial indicator of a bank's ability to absorb potential losses. JPMorgan Chase's Tier 1 capital surpassed 278 billion U.S. dollars in the third quarter of 2024, cementing its position as the most well-capitalized bank in the United States. Additionally, the banking giant boasted the highest Tier 1 capital ratio among its American peers, further underscoring its robust financial health. What is the Tier 1 capital ratio? The Tier 1 capital ratio is a critical metric for assessing a bank's resilience to financial stress. It's calculated by dividing a bank's core capital by its total risk-weighted assets, with regulatory requirements mandating a minimum ratio of six percent. As of 2023, the largest U.S. banks significantly exceeded this threshold. JPMorgan Chase led with a ratio of 16.6 percent, closely followed by Citibank at 15.02 percent, while Bank of America maintained a strong position at 13.5 percent. These ratios demonstrate the robust capital positions of major American financial institutions, indicating their strong capacity to withstand potential economic downturns or financial shocks. The leading banks in the U.S. The U.S. banking sector is dominated by four major institutions, commonly known as "the big four": JPMorgan Chase, Bank of America, Wells Fargo, and Citigroup. JPMorgan Chase stands out as the leader among these financial giants. It holds the top position across several key metrics, including market capitalization, total assets, investment banking revenue, and net income. This comprehensive leadership underscores JPMorgan Chase's dominant role in the American financial landscape and its significant influence on the global banking industry.
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Kazakhstan KZ: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data was reported at 28.144 Ratio in 2014. Kazakhstan KZ: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data is updated yearly, averaging 28.144 Ratio from Dec 2014 (Median) to 2014, with 1 observations. Kazakhstan KZ: Level of Water Stress: Freshwater Withdrawal As Proportion of Available Freshwater Resources data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kazakhstan – Table KZ.World Bank: Energy Production and Consumption. The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.; ; Food and Agriculture Organization, AQUASTAT data.; ;
There were over 1.54 million unemployed people in the United Kingdom in the three months to January 2025, compared with just over 1.55 million in the previous month. In the provided time, there was a peak of 2.7 million people unemployed in November 2011, and a noticeable uptick in unemployment in 2020. The bump in unemployment caused by the COVID-19 pandemic peaked at almost 1.8 million in December 2020, before falling to a low of 1.2 million in August 2022, before climbing up again to the most recent levels. Government plans to boost UK workforce Although the Labour Party inherited a relatively healthy unemployment rate of around four percent from the previous government, the UK's labor market is less robust than it first appears. The current level of economic inactivity, is seen as the more concerning figure, especially the rising share of people on long-term sick leave. Just before the COVID-19 pandemic, at the end of 2019, there were around 2.08 million people economically inactive due to long-term sickness, with this figure increasing by around 740,000 by early 2024. Government plans to address the root cause of these issue, and improve incentives to work, were unveiled at the end of 2024, but may have come at an inopportune time. Labor market signals for 2025 Encouraging people back into work is one thing, making sure there are jobs there is another. Recent data suggests that the UK is continuing to cool off from an overheated labor market in 2022, which at one point saw 1.3 million job vacancies in the UK. Although the current level of job vacancies is at more usual levels, any further falls could spell trouble for the economy. In December 2024, the number of people on UK payrolls fell by 47,000, while the number of redundancies has started to climb. Some UK businesses have also signalled that they have, or plan to, lay off staff due to increased taxes set to come into force in the next financial year.
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Because of their restricted access to financial resources, couples undergoing economic distress are more likely to live in disadvantaged neighborhoods than are financially well-off couples. The link between individual economic distress and community-level economic disadvantage raises the possibility that these two conditions may combine or interact in important ways to influence the risk of intimate violence against women. This study examined whether the effect of economic distress on intimate violence was stronger in disadvantaged or advantaged neighborhoods or was unaffected by neighborhood conditions. This project was a secondary analysis of data drawn from Waves 1 and 2 of the National Survey of Families and Households (NSFH) and from the 1990 United States Census. From the NSFH, the researchers abstracted data on conflict and violence among couples, as well as data on their economic resources and well-being, the composition of the household in which the couple lived, and a large number of socio-demographic characteristics of the sample respondents. From the 1990 Census, the researchers abstracted tract-level data on the characteristics of the census tracts in which the NSFH respondents lived. Demographic information contains each respondent's race, sex, age, education, income, relationship status at Wave 1, marital status at Wave 1, cohabitation status, and number of children under 18. Using variables abstracted from both Wave 1 and Wave 2 of the NSFH and the 1990 Census, the researchers constructed new variables, including degree of financial worry and satisfaction for males and females, number of job strains, number of debts, changes in debts between Wave 1 and Wave 2, changes in income between Wave 1 and Wave 2, if there were drinking and drug problems in the household, if the female was injured, number of times the female was victimized, the seriousness of the violence, if the respondent at Wave 2 was still at the Wave 1 address, and levels of community disadvantage.