Statistics on Domestic Households - Table 130-06609 : Domestic households by monthly household income and type of housing

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Average family size is derived by dividing the number of related people in households by the number of family households..Housing unit weight is used throughout this table (only exception is the average household and family size cells)..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

The average household consumption expenditure in current prices on table linen and bathroom linen in Denmark decreased to 144 Danish Kroner per household since the previous year. This was a significant decrease in the average household consumption expenditure in this industry. Nevertheless, the last two years in this industry recorded significant higher average household consumption expenditure than the preceding years.Find more statistics on table linen and bathroom linen in Denmark with key insights such as Average household expenditure on bed linen and Average household expenditure on washing machines and dryers.

Statistics on Domestic Households - Table 130-06612 : Median monthly household income (excluding Chinese New Year bonus/double pay) by household size

Jamaica Imports of table, kitchen or other household articles, of iron or steel from El Salvador was US$336 during 2021, according to the United Nations COMTRADE database on international trade. Jamaica Imports of table, kitchen or other household articles, of iron or steel from El Salvador - data, historical chart and statistics - was last updated on April of 2025.

European Sold Production of Table, Kitchen or Household Articles of Cast Iron by Country, 2023 Discover more data with ReportLinker!

European Sold Production of Table, Kitchen, Household Articles, Parts Thereof... Of Aluminium, Other by Country, 2023 Discover more data with ReportLinker!

Statistics illustrates consumption, production, prices, and trade of Table, Kitchen or Household Articles and Parts of Iron in Chile from 2007 to 2024.

The global household billiard table market is experiencing steady growth, driven by increasing disposable incomes, a rising interest in recreational activities, and the growing popularity of home entertainment. The market is segmented by application (online vs. offline sales) and table size (262x145 cm, 286x156 cm, 385x206 cm), reflecting diverse consumer preferences and space constraints. Key players like JOY, XINGPAI, Decathlon, Predator, FURY, Riley, and TENGBO compete in this market, offering a range of products catering to different price points and quality levels. Geographic distribution shows significant demand in North America and Europe, driven by established markets and higher purchasing power. However, emerging markets in Asia Pacific, particularly China and India, are projected to show substantial growth potential due to rapid urbanization and increasing disposable incomes. The market faces restraints such as high initial investment costs and the need for considerable space, potentially limiting penetration among certain consumer segments. Nevertheless, manufacturers are innovating with space-saving designs and more affordable options to broaden the appeal of household billiard tables. The forecast period (2025-2033) anticipates continued growth, fueled by evolving consumer preferences for home-based leisure and the ongoing introduction of technologically enhanced tables. The estimated market size in 2025 is $500 million, based on market trends and competitor analysis. A conservative Compound Annual Growth Rate (CAGR) of 5% is projected for the forecast period, resulting in a market size exceeding $700 million by 2033. This moderate growth rate considers potential market saturation in established regions and the ongoing economic uncertainties. The online sales segment is expected to grow faster than offline sales, reflecting the increasing preference for convenient online purchasing. The 385x206 cm table size segment likely holds the largest market share due to its appeal to families and those with sufficient space, while smaller sizes appeal to apartment dwellers and those seeking a more compact gaming option. Further research into specific regional growth rates and consumer preferences would provide a more granular understanding of this dynamic market.

Statistics illustrates consumption, production, prices, and trade of Table, Kitchen or Household Articles and Parts of Stainless Steel in Latin America and the Caribbean from 2007 to 2024.

This table contains 2356 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (31 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household expenditure summary-level categories (19 items: Total expenditure; Total current consumption; Food; Shelter;...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).

Statistics illustrates consumption, production, prices, and trade of Table, Kitchen or Household Articles and Parts of Iron in Austria from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Table, Kitchen or Household Articles and Parts of Iron in Luxembourg from 2007 to 2024.

Netherlands Imports of table, kitchen or other household articles, of iron or steel from Barbados was US$115 during 2024, according to the United Nations COMTRADE database on international trade. Netherlands Imports of table, kitchen or other household articles, of iron or steel from Barbados - data, historical chart and statistics - was last updated on May of 2025.

The displayed data shows the results of a survey conducted in the United States in 2017 on brand awareness for intelligent household devices. Some 22 percent of respondents stated that they know Netgear as a producer of intelligent household devices.The Survey Data Table for the Statista survey Smart Home in the United States 2017 contains the complete tables for the survey including various column headings.

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Forecast: Household Expenditure on Dining Tables and Chairs in Japan 2024 - 2028 Discover more data with ReportLinker!

Forecast: Sold Production of Table, Kitchen or Household Articles of Stainless Steel in Italy 2024 - 2028 Discover more data with ReportLinker!

European Export of Table, Kitchen, Household Articles of Cast Aluminium by Country, 2023 Discover more data with ReportLinker!