HUD’s Office of Policy Development and Research (PD&R) is pleased to announce that Fair Market Rents and Income Limits data are now available via an application programming interface (API). With this API, developers can easily access and customize Fair Market Rents and Income Limits data for use in existing applications or to create new applications. To create an account and get an access token, please visit the API page here: https://www.huduser.gov/portal/dataset/fmr-api.html. The Department of Housing and Urban Development (HUD) sets income limits that determine eligibility for assisted housing programs including the Public Housing, Section 8 project-based, Section 8 Housing Choice Voucher, Section 202 housing for the elderly, and Section 811 housing for persons with disabilities programs. HUD develops income limits based on Median Family Income estimates and Fair Market Rent area definitions for each metropolitan area, parts of some metropolitan areas, and each non-metropolitan county.***Microdata: YesLevel of Analysis: Local - Counties, Localities Variables Present: YesFile Layout: .pdfCodebook: Yes Methods: YesWeights (with appropriate documentation): YesPublications: YesAggregate Data: Yes

This statistic depicts the maximum monthly income limits for government-subsidized rental housing eligibility in Hong Kong as of **********, by household size (of unrelated elderly individuals aged 60 and over). According to the source, the maximum monthly income limit for a household of five unrelated elderly people was ****** Hong Kong dollars in order to apply for a government-subsidized flat in Hong Kong.

The Department of Housing and Urban Development (HUD) is required by law to set income limits that determine the eligibility of applicants for HUD's assisted housing programs. The major active assisted housing programs are the Public Housing program, the Section 8 Housing Choice Voucher program, Section 202 housing for the elderly program, and Section 811 housing for persons with disabilities program. FY2013.

Affordable Rental Housing in Loudoun County Affordable housing communities are eligible to renters based on Area Median Income (AMI) as defined by the U.S. Department of Housing and Urban Development (HUD). AMI is updated annually in April by HUD. Please refer to the most recent AMI levels here to learn if you are eligible.The Unmet Housing Needs Units (UHNU) Program offers a limited number of apartments available to eligible households with a gross income no more than 30% of the Area Median Income. Communities with the UHNU symbol in this guide have UHNU units. The County is currently accepting applications. To request an application for the UHNU Program, send an Email to the Loudoun County Department of Housing and Community Development. The Affordable Dwelling Unit (ADU) Rental Program offers eligible households the opportunity to rent an apartment that is below market rate. The total household gross income must be between 30% – 50% of the Area Median Income. Communities with the ADU symbol in this guide have ADU units. If eligible, applicants will be placed on a waitlist. The waitlist is Open. To review requirements and access the application, please visit Affordable Dwelling Unit page for more information.The Low-Income Housing Tax Credit (LIHTC) Program offers apartments affordable to households earning no more than 60% of the Area Median Income. Communities with the TC symbol in this guide have LIHTC units. The program is administered by Virginia Housing and the Loudoun County Department of Housing and Community Development does not manage LIHTC units. Call each community directly for more information and to apply.Apartment Communities for Older Adults are included in this map. For age restrictions and other requirements, contact each communities directly. For information on retirement communities, assisted living facilities, and nursing home placement, contact Loudoun County Adult and Aging Services at (703) 771-5742, or visit the Aging & Independence page for more information.Apartment Rental Guide

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

U.S. President Joe Biden's COVID-19 relief bill passed in March 2021, also known as the American Rescue Plan (ARP), has effectively removed the Affordable Care Act's subsidy cliff for the years 2021 and 2022. The subsidy cliff refers to the steep drop off of health insurance subsidies for those who earn just slightly above 400% of the Federal Poverty Level. Above this income threshold, which varies depending on household size, an individual will have to pay the full amount for their insurance premium. This statistic shows that for example, the health premium for an individual of 60 years who earns more than 51,040 U.S. dollars (400% FPL) would skyrocket to roughly 20 percent of their income. The subsidy cliff affects older adults the most (and those in states with high premiums) because they have relatively high premiums compared to younger adults. With the ARP, annual Marketplace plan premiums are capped at 8.5 percent of household income and also increase the subsidies of those with low-income, with many plans available at zero U.S. dollars in premium. While the ARP is only effective temporarily for the years 2021 and 2022, some say the legislation is here to stay as benefits are difficult to take away once introduced.

This paper examines the impact of social pensions on old-age poverty. To achieve causal identification, we leverage the reduction in the minimum eligibility age of Mexico's flagship non-means-tested social pension program. We find that the program's expansion significantly reduced extreme poverty, mainly among indigenous seniors and in rural areas. However, it had negligible effects on labor force participation, suggesting that social pensions were not effective in ensuring minimum economic well-being and simultaneously inducing retirement among seniors at early stages of old age. The program's small cash transfer and mistargeting are among the main explanations.

Relative concentration of the estimated number of people in the Central California region that live in a household defined as "low income." There are multiple ways to define low income. These data apply the most common standard: low income population consists of all members of households that collectively have income less than twice the federal poverty threshold that applies to their household type. Household type refers to the household's resident composition: the number of independent adults plus dependents that can be of any age, from children to elderly. For example, a household with four people ' one working adult parent and three dependent children ' has a different poverty threshold than a household comprised of four unrelated independent adults.

Due to high estimate uncertainty for many block group estimates of the number of people living in low income households, some records cannot be reliably assigned a class and class code comparable to those assigned to race/ethnicity data from the decennial Census.

"Relative concentration" is a measure that compares the proportion of population within each Census block group data unit to the proportion of all people that live within the 4,961 block groups in the Central California RRK region. See the "Data Units" description below for how these relative concentrations are broken into categories in this "low income" metric.

This regulation provides management bodies with direction regarding the application for social housing, setting of rent, and the eligibility for community housing, seniors self-contained housing, and seniors lodge accommodation.

Abstract

The Household Budget Survey (HBS) is a national survey collecting information from a representative sample of households, on households’ composition, members’ employment status, living conditions and, mainly, focusing on their members’ expenditure on goods and services as well as on their income. The expenditure information collected from households is very detailed. That is, information is not collected on the basis of total expenditure categories like "food", ‘'clothing - footwear', "health ", etc., but separately for each expenditure, for example, white bread, fresh whole milk, fresh beef etc, footwear for men, footwear for women etc., services of medical analysis laboratories, pharmaceutical products etc.

The main purpose of the HBS is to determine in detail the household expenditure pattern in order to revise the Consumer Price Index. Moreover, the HBS is the most appropriate source in order to: - Complete the available statistical data for the estimation of the total private consumption; - Study the households expenditures and their structure in relation to their income and other economic, social and demographic characteristics; - Analyze the changes in the living conditions of the households in comparison with the previous surveys; - Study the relationship between households purchases and receipts in kind; - Study low income limits in the different socio-economic categories and population groups; - Study the changes in the nutritional habits of the households.

Geographic coverage

National coverage

Analysis unit

• Households,
• Individuals.

Kind of data

Sample survey data [ssd]

Frequency of data collection

The frequency of data collection is continual spread within the reference year.

Sampling procedure

The HBS survey is based on a two-stage stratified sampling of households from a frame of sampling which has been created on the basis of the results of the 2011 population census as regards the three first semesters of 2013, while, as regards the fourth semester, the sampling frame was updated based on the results of the 2011 population census. The first level of stratification is the geographical stratification based on the division of the total country area into thirteen (13) standard administrative regions corresponding to the European NUTS 2 level. The two major city agglomerations of Greater Athens Area and Greater Thessalonica Area constitute two separate major geographical strata. The second level of stratification entails grouping municipalities and communes within each NUTS 2 Region by degree of urbanization. i.e. according to their population size. The scaling of urbanization was finally designed in four groups:

= 30000 inhabitants 5000 - 29999 inhabitants 1000 - 4999 inhabitants 0 - 999 inhabitants

The former Greater Athens Area was divided into 31 household strata of about equal size on the basis of the social and economic characteristics of the Municipalities / Municipal Units where the households belong. Similarly, the former Greater Thessaloniki Area was divided into 9 equally sized household strata. The two Major City Agglomerations account for 40% of total population. The sampling covers completely the reference population. The sampling units are the households, while the units of analysis are the households and their members. The survey is conducted on a representative random sample of all private households of the Country, which have members aged between 16-74 years old, irrespective of their size or socioeconomic characteristics. The survey does not cover the institutional households of all types (hotels, hospitals, boarding houses, elderly homes, prisons, rehabilitation centers, camps, etc.), the households with more than five lodgers and the households with foreigners serving in diplomatic missions.

In 2013, the survey was conducted on a final sample of 3,468 households (sampling fraction 0.08% of the estimated total number of households in the country).

Mode of data collection

Face-to-face [f2f]

Response rate

The non-response rate before substitutions was 31.9% (1,106 households refused to co-operate, were absent or unable to communicate due to illness etc).

Relative concentration of the estimated number of people in the Southern California region that live in a household defined as "low income." There are multiple ways to define low income. These data apply the most common standard: low income population consists of all members of households that collectively have income less than twice the federal poverty threshold that applies to their household type. Household type refers to the household's resident composition: the number of independent adults plus dependents that can be of any age, from children to elderly. For example, a household with four people ' one working adult parent and three dependent children ' has a different poverty threshold than a household comprised of four unrelated independent adults.

Due to high estimate uncertainty for many block group estimates of the number of people living in low income households, some records cannot be reliably assigned a class and class code comparable to those assigned to race/ethnicity data from the decennial Census.

"Relative concentration" is a measure that compares the proportion of population within each Census block group data unit to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region. See the "Data Units" description below for how these relative concentrations are broken into categories in this "low income" metric.

This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map assesses and identifies communities that are Workforce Disadvantaged according to Justice40 Initiative criteria. "Communities are identified as disadvantaged if they are in census tracts that:ARE at or above the 90th percentile for linguistic isolation OR low median income OR poverty OR unemploymentAND fewer than 10% of people ages 25 or older have a high school education (i.e. graduated with a high school diploma)"Census tracts in the U.S. and its territories that meet the criteria are shaded in blue colors. Suitable for dashboards, apps, stories, and grant applications.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.Use this map to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications.From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40