In the first quarter of 2024, South Korean households in the bottom ** percent of income allocated approximately **** percent of their budget to food, non-alcoholic beverages, and dining out. Low-income households' share of food expenses has increased over the past few years.

Graph and download economic data for Expenditures: Food Away from Home by Income Before Taxes: Less Than $15,000 (CXUFOODAWAYLB0218M) from 2015 to 2023 about tax, expenditures, food, income, and USA.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXUTOTALEXPLB0102M) from 1984 to 2023 about percentile, tax, average, expenditures, income, and USA.

A commonly accepted threshold for affordable housing costs at the household level is 30% of a household's income. Accordingly, a household is considered cost burdened if it pays more than 30% of its income on housing. Households paying more than 50% are considered severely cost burdened. These thresholds apply to both homeowners and renters.

The Housing Affordability indicator only measures cost burden among the region's households, and not the supply of affordable housing. The directionality of cost burden trends can be impacted by changes in both income and housing supply. If lower income households are priced out of a county or the region, it would create a downward trend in cost burden, but would not reflect a positive trend for an inclusive housing market.

This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

Low income standard is a so-called absolute measure of income poverty used to classify low-income households and describes how well the household's income is sufficient to pay necessary living expenses such as housing, home insurance, childcare, local travel, etc. Persistently low income standard means that they had a low income standard in the last measurable year as well as at least two of the three previous years. numerator: Number of persons aged 25 and over living in households where income is not sufficient to cover necessary living expenses such as housing, home insurance, childcare, local travel, etc. and who have also had a low income standard in the last measurable year and at least two of the three previous years. Denominator: Number of persons aged 25 and over who have been registered in the population register in the current year and the previous three years. Data are available according to gender breakdown.

In 2023, the lowest 20 percent of income consumer units spent about 41.3 percent of their total expenditure on housing. Consumer units belonging to the highest 20 percent of income spent only 29.2 percent on housing. Additionally, those in the highest income quintile spent 17.7 percent of their total expenditure on personal insurance and pensions, while the lowest 20 percent spent only 2.1 percent.

Brazil Financial Institutions: IS: Other Operating Income & Expenses (OOIE) data was reported at -52,375,620.000 BRL th in Dec 2018. This records a decrease from the previous number of -19,557,435.000 BRL th for Sep 2018. Brazil Financial Institutions: IS: Other Operating Income & Expenses (OOIE) data is updated quarterly, averaging -21,057,695.000 BRL th from Mar 2000 (Median) to Dec 2018, with 76 observations. The data reached an all-time high of 12,936,024.000 BRL th in Sep 2015 and a record low of -58,393,844.000 BRL th in Dec 2016. Brazil Financial Institutions: IS: Other Operating Income & Expenses (OOIE) data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.KBB008: Financial Institutions: Income Statement.

Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017).

The cost and availability of housing is an important determinant of well- being. Households with lower incomes may spend a larger proportion of their income on housing. The inability of households to afford necessary non-housing goods after paying for shelter is known as housing-induced poverty. California has very high housing costs relative to much of the country, making it difficult for many to afford adequate housing. Within California, the cost of living varies significantly and is largely dependent on housing cost, availability, and demand.

Areas where low-income households may be stressed by high housing costs can be identified through the Housing and Urban Development (HUD) Comprehensive Housing Affordability Strategy (CHAS) data. We measure households earning less than 80% of HUD Area Median Family Income by county and paying greater than 50% of their income to housing costs. The indicator takes into account the regional cost of living for both homeowners and renters, and factors in the cost of utilities. CHAS data are calculated from US Census Bureau's American Community Survey (ACS).

The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB). All values are rounded to the nearest dollar.

Register in the Eastern District of Chiayi City in 2017, and calculate the average distribution of total income among families in each neighborhood; the monthly income of each individual does not exceed the standard minimum living expenses for the year, meeting the criteria of low-income households, those in the lower tier of low-income households, and individuals over 65 living alone.

United States US: Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data was reported at 0.000 USD mn in Dec 2020. United States US: Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data is updated quarterly, averaging 0.000 USD mn from Dec 2020 (Median) to Dec 2020, with 1 observations. The data reached an all-time high of 0.000 USD mn in Dec 2020 and a record low of 0.000 USD mn in Dec 2020. United States US: Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.FSI: 2006 Methodology: Sectoral Financial Statement: Income and Expense: Quarterly.

United States US: Households: Gross disposable Income: Less Taxes incl Social Security Contributions and Others Current Transfers data was reported at 3,266.774 USD bn in Dec 2016. This records an increase from the previous number of 3,241.528 USD bn for Sep 2016. United States US: Households: Gross disposable Income: Less Taxes incl Social Security Contributions and Others Current Transfers data is updated quarterly, averaging 2,441.816 USD bn from Mar 2005 (Median) to Dec 2016, with 48 observations. The data reached an all-time high of 3,266.774 USD bn in Dec 2016 and a record low of 2,032.301 USD bn in Mar 2005. United States US: Households: Gross disposable Income: Less Taxes incl Social Security Contributions and Others Current Transfers data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.FSI: Sectoral Financial Statement: Income and Expense: Quarterly.

The Low Transportation Cost Index is based on estimates of transportation expenses for a 3-person single-parent family earning 50% of the median income for renters in the surrounding region (i.e. Core-Based Statistical Area). The estimates come from the Location Affordability Index (LAI). The data correspond to those for household type 6 as noted in the LAI data dictionary. More specifically, among this household type, we model transportation costs as a percent of income for renters. Neighborhoods are defined as census tracts. The LAI data do not contain transportation cost information for Puerto Rico.

Senior housing communities classed as active adult had the lowest expense ratio in the United States in the first half of 2024. During this period, the expense ratio of this asset class was ** percent, meaning that the operational expenses amounted to ** percent of the income brought in by the property. For facilities with majority nursing care, this percentage was the highest at ** percent.

Difference in percentage between net cost and reference cost for individual and family care, SEK per inhabitant. Net cost is gross cost less gross revenue. The reference cost is based as of 2019 on the net cost of individual and family care in the country, share of low-skilled 20-40-year-olds born in Sweden, urban population, share of residents in multi-family homes built in 1965-75, share of children and young people aged 0-19 in households with low income standards when financial assistance is excluded, unhealthy rates, correction for border commuting to Denmark and Norway and wages for municipal employees. Data for low income standards are based on previous year’s outcome. Positive values indicate higher cost than statistically expected and negative values a lower cost than statistically expected. Up to and including 2018, net cost deviation was calculated according to the previous standard cost model for IFO. This affects comparability with previous years from 2019. Source: SKR.

San Marino Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data was reported at 0.000 EUR mn in 2016. This stayed constant from the previous number of 0.000 EUR mn for 2015. San Marino Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data is updated yearly, averaging 0.000 EUR mn from Dec 2015 (Median) to 2016, with 2 observations. San Marino Deposit Takers: Gross Income: Interest Income: Income: Less Provisions for Accrued Interest on Non Performing Assets data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.FSI: Sectoral Financial Statement: Income and Expense: Annual.

The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, energy characteristics, and population demographics and educational attainment. Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts, as well as tribal areas. The file below, "01. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "02. Data Dictionary 2022". A list of geographic regions used in the LEAD Tool can be found in files 04-11. The Low-Income Energy Affordability Data comes primarily from the 2022 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2022 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document). For more information, and to access the interactive LEAD Tool platform, please visit the "10. LEAD Tool Platform" resource link below. For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "11. CELICA Website" resource below.

Graph and download economic data for Expenditures: Apparel, Men, 16 and over by Income Before Taxes: Less Than $70,000 (CXUMENSLB0211M) from 2003 to 2015 about males, apparel, tax, expenditures, income, and USA.

The cost/income ratio of the Norwegian bank DNB peaked in 2012 at 48.5 percent, but decreased in general the following years. The lower cost/income ratio of DNB tells that the bank has become more cost-efficient over the period under consideration. As of 2023, DNB's cost-to-income ratio stood at 35 percent, marking the lowest value recorded during the observed period.