This statistic shows the size of smallest residence people have ever had in the United States as of 2016. About two-fifths (** percent) of the respondents had lived in a *** square feet or smaller residence.

The dataset contains data on state- and region-wise Percentage of Persons who are Willing to Move Out (Migrate) from Present Place of Residence to the Type of Place such as their Previous Usual Place of Residence, etc., where they are Willing to Move to

The dataset created at the 2024 National Festival in Portugal consists of 9062 images. It is a dataset designed for recognizing objects from the YCB dataset along with detecting people. It comprises 1500 images of people from the COCO dataset, 416 images taken in the arena with the Astra camera of the TIAGo robot, 2146 images taken with an iPhone, and the rest of the images are from the @Home Objects Dataset.

Two People House Plan1

## Overview

Two People House Plan1 is a dataset for semantic segmentation tasks - it contains Rouka annotations for 561 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Objective of population statistics is the provision of evaluations of those registered under reporting law Residents at the place of the main apartment. Re the registered residents at the place of the main residence count all persons registered in Würzburg with their main residence. People who live in Wuerzburg residences shall be held only once, at the place of the principal residence; proven. Editor's reference: https://statistics.wuerzburg.de

The dataset contains data on Percentage of Persons who Current Place of Residence is different from their Last Usual Place of Residence. NSS considers a particular place as the last usual place of residence of people, where the people have lived in the same place for six months or more, at the time of NSS Survey

This annual report is the 17th in a series that examines trends in temporary and permanent migration to and from New Zealand. The report updates trends to 2016/17 and compares recent immigration patterns with patterns identified in previous years.

SELECTED HOUSING CHARACTERISTICS HOUSING OCCUPANCY - DP04 Universe - Occupied housing units Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 A housing unit is classified as occupied if it is the current place of residence of the person or group of people living in it at the time of interview, or if the occupants are only temporarily absent from the residence for two months or less, that is, away on vacation or a business trip. If all the people staying in the unit at the time of the interview are staying there for two months or less, the unit is considered to be temporarily occupied and classified as “vacant.” The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living quarters. The living quarters occupied by staff personnel within any group quarters are separate housing units if they satisfy the housing unit criteria of separateness and direct access; otherwise, they are considered group quarters. Occupied rooms or suites of rooms in hotels, motels, and similar places are classified as housing units only when occupied by permanent residents, that is, people who consider the hotel as their current place of residence or have no current place of residence elsewhere. If any of the occupants in rooming or boarding houses, congregate housing, or continuing care facilities live separately from others in the building and have direct access, their quarters are classified as separate housing units.

This annual report is the 17th in a series that examines trends in temporary and permanent migration to and from New Zealand. The report updates trends to 2016/17 and compares recent immigration patterns with patterns identified in previous years.

The dataset contains the details of the replies (*) to the questionnaire for detecting the satisfaction of users who use the online service requesting residence for foreign persons from abroad, activated in November 2020 in compliance with the indications of the Digital Administration Code (Legislative Decree 82/2005, Article 7(3) - amended by Legislative Decree 179/16, Article 8(1)). The questionnaire can be completed online by the user after making the request and allows him to express his satisfaction with the accessibility, simplicity and effectiveness of the service. The user accesses the questionnaire via a link received by email at the end of the request. The results of the survey are published monthly on https://www.comune.milano.it/comune/amministrazione-transparente/servizi-distributi/servizi-in-rete. Requests for change of residence within Milan or coming from another Italian municipality or for AIRE persons, managed until the end of 2022 with the same municipal service, are no longer the subject of this survey as they are submitted on the ANPR portal. Some interpretative notes: * The columns “Could you specify where you experienced the most difficulties?” are assessed only by those who gave a negative assessment in the question “Overall how easy was it to use this online service?” * The values in the column “Would you speak well of this service to other people?” correspond to the following rating levels: 0 to 6 detractors, 7 and 8 passive, 9 and 10 promoters (*) closed questions only

Context

This dataset is created via OECD datasource which is consisted of 2000 between 2020. https://data.oecd.org/price/housing-prices.htm

Content

The housing prices indicator shows indices of residential property prices over time. Included are rent prices, real and nominal house prices, and ratios of price to rent and price to income; the main elements of housing costs. In most cases, the nominal house price covers the sale of newly-built and existing dwellings, following the recommendations from RPPI (Residential Property Prices Indices) manual. The real house price is given by the ratio of nominal price to the consumers’ expenditure deflator in each country, both seasonally adjusted, from the OECD national accounts database. The price to income ratio is the nominal house price divided by the nominal disposable income per head and can be considered as a measure of affordability. The price to rent ratio is the nominal house price divided by the rent price and can be considered as a measure of the profitability of house ownership. This indicator is an index with base year 2015.

Quarterly and historical data on people living in UK households by housing tenure and combined economic activity status of household members.

The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets represent where people live in the United States and the in situ risk from wildfire, i.e., the risk at the location where the adverse effects take place.National wildfire hazard datasets of annual burn probability and fire intensity, generated by the USDA Forest Service, Rocky Mountain Research Station and Pyrologix LLC, form the foundation of the Wildfire Risk to Communities data. Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were used as input to two different but related geospatial fire simulation systems. Annual burn probability was produced with the USFS geospatial fire simulator (FSim) at a relatively coarse cell size of 270 meters (m). To bring the burn probability raster data down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability into developed areas represented in LANDFIRE fuels data as non-burnable. Burn probability rasters represent landscape conditions as of the end of 2020. Fire intensity characteristics were modeled at 30 m resolution using a process that performs a comprehensive set of FlamMap runs spanning the full range of weather-related characteristics that occur during a fire season and then integrates those runs into a variety of results based on the likelihood of those weather types occurring. Before the fire intensity modeling, the LANDFIRE 2020 data were updated to reflect fuels disturbances occurring in 2021 and 2022. As such, the fire intensity datasets represent landscape conditions as of the end of 2022. The data products in this publication that represent where people live, reflect 2021 estimates of housing unit and population counts from the U.S. Census Bureau, combined with building footprint data from Onegeo and USA Structures, both reflecting 2022 conditions.The specific raster datasets included in this publication include:Building Count: Building Count is a 30-m raster representing the count of buildings in the building footprint dataset located within each 30-m pixel.Building Density: Building Density is a 30-m raster representing the density of buildings in the building footprint dataset (buildings per square kilometer [km²]).Building Coverage: Building Coverage is a 30-m raster depicting the percentage of habitable land area covered by building footprints.Population Count (PopCount): PopCount is a 30-m raster with pixel values representing residential population count (persons) in each pixel.Population Density (PopDen): PopDen is a 30-m raster of residential population density (people/km²).Housing Unit Count (HUCount): HUCount is a 30-m raster representing the number of housing units in each pixel.Housing Unit Density (HUDen): HUDen is a 30-m raster of housing-unit density (housing units/km²).Housing Unit Exposure (HUExposure): HUExposure is a 30-m raster that represents the expected number of housing units within a pixel potentially exposed to wildfire in a year. This is a long-term annual average and not intended to represent the actual number of housing units exposed in any specific year.Housing Unit Impact (HUImpact): HUImpact is a 30-m raster that represents the relative potential impact of fire to housing units at any pixel, if a fire were to occur. It is an index that incorporates the general consequences of fire on a home as a function of fire intensity and uses flame length probabilities from wildfire modeling to capture likely intensity of fire.Housing Unit Risk (HURisk): HURisk is a 30-m raster that integrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero.Additional methodology documentation is provided with the data publication download. Metadata and Downloads.Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.

The dataset contains state-, region- and gender-wise nss 78th round compiled data on Percentage of Persons who are willing to move out of Present Place of Residence by Main Reasons such as business, displacement by developmental projects, health care, insufficient land holding, marriage, housing problems, better employment, acquisition of new house/flat, natural disasters such as drought, tsunami, flood and others, proximity to the place of work, post retirement, scarcity of water, political and social problems such as riots, terrorism, bad law and order, political refuge and others, studies, transfer of service, and other reasons, for their Willingness to Move Out

This is a development key figure, see questions and answers on kolada.se for more information. Number of people living in a group residence LSS who have answered Some to the question Do the staff talk to you so that you understand? divided by all the people living in the group residence LSS who have answered the question. The answer options were Everyone, Some, None. The survey is not a total survey why the result for a municipality may be based on a smaller number of users’ answers, but at least five. For some municipalities, users are included in both the municipality’s own and other directories (private/ideal), for some only users on their own and for others only users on a different direction. The survey has been conducted with a web-based tool for surveys, adapted to people with disabilities. Data is available according to gender breakdown. This is a development key figure, see questions and answers on kolada.se for more information. Number of people living in a group residence LSS who have answered Some to the question Do the staff talk to you so that you understand? divided by all the people living in the group residence LSS who have answered the question. The answer options were Everyone, Some, None. The survey is not a total survey why the result for a municipality may be based on a smaller number of users’ answers, but at least five. For some municipalities, users are included in both the municipality’s own and other directories (private/ideal), for some only users on their own and for others only users on a different direction. The survey has been conducted with a web-based tool for surveys, adapted to people with disabilities. Data is available according to gender breakdown.

Consumer Unit Characteristics: of People in CU by Region: Residence in the South Census Region was 2.00000 Number in January of 2023, according to the United States Federal Reserve. Historically, Consumer Unit Characteristics: of People in CU by Region: Residence in the South Census Region reached a record high of 3.00000 in January of 1985 and a record low of 2.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Unit Characteristics: of People in CU by Region: Residence in the South Census Region - last updated from the United States Federal Reserve on July of 2025.

The share of people in Iceland with a residence permit who were long-term residents increased from 2009 to 2012, and then fluctuated but decreased slightly. In 2023, ***** percent of those with a residence permit were long-term residents.

The dataset contains the details of the answers () to the questionnaire for measuring the satisfaction of users who use the online residence application service for foreign people coming from abroad, activated in November 2020 in compliance with the indications of the Digital Administration Code (Legislative Decree 82/2005, art. 7, c.3 - modified by Legislative Decree 179/16, art. 8, c.1). The questionnaire can be completed online by the user after making the request and allows him to express his satisfaction with the accessibility, simplicity and effectiveness of the service. The user accesses the questionnaire via a link received by email at the end of the request. The results of the survey are published monthly on the page https://www.comune.milano.it/comune/administration-trasparente/servizi-erogati/servizi-in-rete. Requests for change of residence within Milan or coming from another Italian municipality or for AIRE people, managed until the end of 2022 with the same municipal service, are no longer the subject of this survey as they are presented on the ANPR portal. () only closed questions

Residential homes for older people, clients aged 75 and over, on 31 Dec Tables Residential Homes For Older People Clients Aged 75 And Over On 31 DecTSV The indicator gives the number of clients aged 75 and over who live in residential homes for older people at the end of the year .Residential home care:Institutional care for older people in social care (the unit has been defined as an institution by the Social Insurance Institution).

Definition: The residence population is a total number of people living/staying in the given area for at least 12 months. For residents of the administrative unit comprises: a) permanent residents (people registered for permanent residence or not), without the people staying away from home (residence) in the country or abroad, for at least 12 months, b) people who came from another place of residence in the country or from abroad (immigrants without permanent residence card) for a period of at least 12 months.