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Graph and download economic data for Housing Inventory: Active Listing Count in Seattle-Tacoma-Bellevue, WA (CBSA) (ACTLISCOU42660) from Jul 2016 to Feb 2025 about Seattle, active listing, WA, listing, and USA.
The S&P Case Shiller Seattle Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Seattle Home Price Index amounted to 395.17 in August 2024. That was significantly higher than the national average.
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Graph and download economic data for Housing Inventory: Median Days on Market Month-Over-Month in Seattle-Tacoma-Bellevue, WA (CBSA) (MEDDAYONMARMM42660) from Jul 2017 to Feb 2025 about Seattle, WA, median, and USA.
Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):<a href='https://www.census.gov/programs-surveys/acs/about.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel=
Table from the American Community Survey (ACS) 5-year series on housing tenure and cost related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B25003 Tenure of Occupied Housing Units, B25070 Gross Rent as a Percentage of Household Income in the Past 12 Months, B25063 Gross Rent, B25091 Mortgage Status by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months, B25087 Mortgage Stauts and Selected Monthly Owner Costs, B25064 Median Gross Rent, B25088 Median Selected Monthly Owner Costs by Mortgage Status. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B25003, B25070, B25063, B25091, B25087, B25064, B25088Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACS<a href='https://www.census.gov/programs-surveys/acs/technical-documentation.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='
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Displacement risk indicator showing the number of property transactions of single-family homes recorded by the King County Assessor that can be classified as "flips" (meaning that the home had previously been sold within the past year and that the sale price had increased between sales at least twice as fast as the increase in regional housing Consumer Price Index during the same time period). Summarized at the census tract level; available for every year from 2004 through the most recent year of available data.
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This is a real dataset of house prices sold in Seattle, Washing, USA between August and December 2022. The task is to predict the house price in this area based on several features, which are described below.
Feature Description beds Number of bedrooms in property baths Number of bathrooms in property. Note 0.5 corresponds to a half-bath which has a sink and toilet but no tub or shower size Total floor area of property size_units Units of the previous measurement lot_size Total area of the land where the property is located on. The lot belongs to the house owner lot_size_units Units of the previous measurement zip_code Zip code. This is a postal code used in the USA price Price the property was sold for (US dollars) Useful fact:
1 acre = 43560 sqft
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United States Homes Sold: sa: Single Family: Seattle, WA data was reported at 2,832.968 Unit th in Jul 2020. This records an increase from the previous number of 2,546.291 Unit th for Jun 2020. United States Homes Sold: sa: Single Family: Seattle, WA data is updated monthly, averaging 2,796.692 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 3,617.485 Unit th in Jan 2017 and a record low of 2,037.843 Unit th in May 2020. United States Homes Sold: sa: Single Family: Seattle, WA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB018: Homes Sold: by Metropolitan Areas: Seasonally Adjusted.
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Graph and download economic data for Homeownership Rate (5-year estimate) for King County, WA (HOWNRATEACS053033) from 2009 to 2023 about King County, WA; Seattle; homeownership; WA; housing; 5-year; rate; and USA.
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Context
The dataset presents a breakdown of households across various income brackets in Seattle, WA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Seattle, WA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Seattle households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Seattle median household income. You can refer the same here
This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a Seattle metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.
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Context
The dataset presents the median household income across different racial categories in Seattle. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Seattle population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 64.94% of the total residents in Seattle. Notably, the median household income for White households is $123,044. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $129,967. This reveals that, while Whites may be the most numerous in Seattle, Asian households experience greater economic prosperity in terms of median household income.
https://i.neilsberg.com/ch/seattle-wa-median-household-income-by-race.jpeg" alt="Seattle median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Seattle median household income by race. You can refer the same here
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United States Homes Sold: sa: All Residential: Seattle, WA data was reported at 3,855.242 Unit th in Jul 2020. This records an increase from the previous number of 3,407.098 Unit th for Jun 2020. United States Homes Sold: sa: All Residential: Seattle, WA data is updated monthly, averaging 3,826.522 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 4,825.924 Unit th in Jan 2017 and a record low of 2,694.031 Unit th in May 2020. United States Homes Sold: sa: All Residential: Seattle, WA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB018: Homes Sold: by Metropolitan Areas: Seasonally Adjusted.
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Graph and download economic data for New Private Housing Units Authorized by Building Permits for Seattle-Tacoma-Bellevue, WA (MSA) (SEAT653BPPRIVSA) from Jan 1988 to Feb 2025 about Seattle, permits, WA, buildings, new, private, housing, and USA.
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Graph and download economic data for Housing Inventory: New Listing Count in King County, WA (NEWLISCOU53033) from Jul 2016 to Feb 2025 about King County, WA; Seattle; WA; new; listing; and USA.
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United States Homes Sold: All Residential: Seattle, WA data was reported at 4,943.000 Unit th in Jul 2020. This records an increase from the previous number of 4,368.000 Unit th for Jun 2020. United States Homes Sold: All Residential: Seattle, WA data is updated monthly, averaging 3,804.000 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 5,529.000 Unit th in Jun 2016 and a record low of 2,194.000 Unit th in Jan 2014. United States Homes Sold: All Residential: Seattle, WA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB017: Homes Sold: by Metropolitan Areas.
The U.S. housing market has slowed, after 13 consecutive years of rising home prices. In 2021, house prices surged by an unprecedented 18 percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by 4.2 percent. That was lower than the long-term average of 4.4 percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of 2.96 percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over 389,000 U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset presents median household incomes for various household sizes in Seattle, WA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
https://i.neilsberg.com/ch/seattle-wa-median-household-income-by-household-size.jpeg" alt="Seattle, WA median household income, by household size (in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Household Sizes:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Seattle median household income. You can refer the same here
U.S. Government Workshttps://www.usa.gov/government-works
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A list of properties that have registered their rental units with the City of Seattle under the Rental Registration and Inspection Ordinance.
This dataset provides information about the number of properties, residents, and average property values for High Lane cross streets in Seattle, WA.
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Graph and download economic data for Housing Inventory: Active Listing Count in Seattle-Tacoma-Bellevue, WA (CBSA) (ACTLISCOU42660) from Jul 2016 to Feb 2025 about Seattle, active listing, WA, listing, and USA.