A 2023 survey found that around ** percent of Generation Z in Indonesia had emergency funds, although not yet in sufficient amounts. In contrast, around eight percent of respondents had not thought of preparing an emergency fund.

As of September 2024, inflation was one of the main reasons why adults in the United States could not increase their emergency savings that year. In addition to that, 43 percent of respondents also mentioned that they had too many expenses to increase their emergency savings, while 24 percent mentioned having too much debt as a reason.

Regardless of generation, less than half of Americans in the Gen X or younger could cover a surprise 1,000 U.S. dollar expense from their savings, according to a ************* survey. Approximately ** percent of respondents in the baby boomer generation could pay for such an expense, whereas only ** percent of millennials said the same.

Financial overview and grant giving statistics of Childrens Emergency Fund

Financial overview and grant giving statistics of City Employee Emergency Fund

Actual Receipt: West Java: Local Government Revenue: OLR: Emergency Fund data was reported at 33.164 IDR bn in 2021. Actual Receipt: West Java: Local Government Revenue: OLR: Emergency Fund data is updated yearly, averaging 33.164 IDR bn from Dec 2021 (Median) to 2021, with 1 observations. The data reached an all-time high of 33.164 IDR bn in 2021 and a record low of 33.164 IDR bn in 2021. Actual Receipt: West Java: Local Government Revenue: OLR: Emergency Fund data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Government and Public Finance – Table ID.FB017: Actual Receipt and Expenditure: by Province: West Java.

The percentage of respondents who, when asked, say it is not possible--and say no to "very difficult,""somewhat difficult," or "not difficult at all"--to come up with 1/20 of GNI per capita in local currency units in 30 days. This also includes the share of adults who say do not know or refused.

Financial overview and grant giving statistics of Community Emergency Fund Inc.

Actual Receipt: Indonesia: Local Government Revenue: OLR: Emergency Fund data was reported at 33.164 IDR bn in 2021. Actual Receipt: Indonesia: Local Government Revenue: OLR: Emergency Fund data is updated yearly, averaging 33.164 IDR bn from Dec 2021 (Median) to 2021, with 1 observations. The data reached an all-time high of 33.164 IDR bn in 2021 and a record low of 33.164 IDR bn in 2021. Actual Receipt: Indonesia: Local Government Revenue: OLR: Emergency Fund data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Government and Public Finance – Table ID.FB001: Actual Receipt and Expenditure.

In 2020, ** percent of respondents in the United States who participated in flexible work said that their emergency savings would not last six months. This is compared to ** percent of respondents whose emergency savings would not last *** month.

Having emergency savings is generally considered to be a sign of financial well-being, especially if those savings can last for longer periods of time, as the person would then be able to support themselves in case of an emergency or loss of a job.

President Trump is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security Act and the Paycheck Protection Program and Health Care Enhancement Act, which provide a total of $175 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid. The Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/inde...

Financial overview and grant giving statistics of Broward Womens Emergency Fund Inc

Russia Regional Government Expenditure: Year to Date: General Govt: Emergency Funds data was reported at 0.034 RUB bn in Jul 2022. This records an increase from the previous number of 0.023 RUB bn for Jun 2022. Russia Regional Government Expenditure: Year to Date: General Govt: Emergency Funds data is updated monthly, averaging 0.100 RUB bn from Jan 2005 (Median) to Jul 2022, with 209 observations. The data reached an all-time high of 1.900 RUB bn in Dec 2005 and a record low of 0.000 RUB bn in Mar 2013. Russia Regional Government Expenditure: Year to Date: General Govt: Emergency Funds data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FC004: Regional Government Expenditure: ytd.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

why is mutual fund investing a good idea for retirement, but not for your emergency fund or short-term savings?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The percentage of respondents who say it is possible and not difficult at all or somewhat difficult for them to come up with 1/20 of GNI per capita in local currency units in 7 days.

As of 2021, increasing emergency savings was the financial priority for the majority of United States (U.S.) citizens. As of 2020, this was the financial priority of ** percent of the respondents, seven percentage points less than in 2021. On the other hand, only ** percent of the respondents perceived the payment of their debt as their main financial goal in 2021.

The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:

TESTING The American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.

TREATMENT & VACCINATION The Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim

This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.

For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6

Financial overview and grant giving statistics of Climate Emergency Fund

This dataset includes interim municipal reporting information for the Municipal Coronavirus Relief Fund (CRF) Program for Connecticut municipalities for the period July 1, 2020 through September 30, 2021 on eligible expenses. This dataset includes non-payroll-related expenses. Payroll-related expenses are included in an additional dataset available at the following link: https://data.ct.gov/Government/Municipal-Coronavirus-Relief-Fund-CRF-Interim-Repo/5af8-w3zi The CRF Program was established by the CT Office of Policy and Management (OPM) to reimburse municipalities for costs incurred in responding to the COVID-19 pandemic with funds from the Federal Coronavirus Aid, Relief, and Economic Security Act (CARES Act). More information about the CRF Program can be found her: https://portal.ct.gov/OPM/Coronavirus/Coronavirus-Relief-Fund/Municipal-CRF-Program

Funding Data related to COVID-19 Relief Funding. This data was being prepared for a COVID-19 Relief Funding Site. In some cases, "Entity Name" was created from the "Trade Name".