Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington (MHICILBWA53000A052NCEN) from 1989 to 2023 about WA, households, median, income, and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for King County, WA (MHICILBWA53033A052NCEN) from 1989 to 2023 about King County, WA; Seattle; WA; households; median; income; and USA.

United States Household Income: Washington data was reported at 70,310.000 USD in 2016. This records an increase from the previous number of 67,243.000 USD for 2015. United States Household Income: Washington data is updated yearly, averaging 45,183.000 USD from Mar 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 70,310.000 USD in 2016 and a record low of 24,000.000 USD in 1985. United States Household Income: Washington data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H045: Household Income.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wahkiakum County, WA (MHICILBWA53069A052NCEN) from 1989 to 2023 about Wahkiakum County, WA; WA; households; median; income; and USA.

Table from the American Community Survey (ACS) 5-year series on income and earning related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B19025 Aggregate Household Income, B19013 Median Household Income, B19001 Household Income, B19113 Median Family Household Income, B19101 Family Household Income, B19202 Median Nonfamily Household Income, B19201 Nonfamily Household Income, B19301 Per Capita Income/B19313 Aggregate Income/B01001 Sex by Age, C24010 Sex by Occupation of the Civilian Employed Population 16 years and Over, B20017 Median Earnings by Sex by Work Experience for the Population 16 years and over with Earnings, B20001 Sex by Earnings for the Population 16 years and over with Earnings. 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): B19013, B19001, B19113, B19101, B19202, B19201, B19301, B19313, B01001, C24010, B20017, B20001, B19025Data downloaded from: Census Bureau's Explore Census Data The 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. 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: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 2020 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.

90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington was 93372.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington reached a record high of 93372.00000 in January of 2023 and a record low of 29450.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pierce County, WA (MHICILBWA53053A052NCEN) from 1989 to 2023 about Pierce County, WA; Seattle; WA; households; median; income; and USA.

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. 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.

The Evaluation of Child Care Subsidy Strategies is a multi-site, multi-year effort to determine whether and how different child care subsidy policies and procedures and quality improvement efforts help low-income parents obtain and hold onto jobs and improve outcomes for children. Funding from the Child Care and Development Fund (CCDF) administered by the Child Care Bureau are divided into two purposes. The vast majority are aimed at assisting children of low-income working parents whose eligibility is determined by states within broad federal guidelines, while a much smaller portion (4 percent) work with state matching funds to improve the quality of child care for all children. For this study series, four experiments were conducted, two test alternative subsidy policies for low-income families and two test approaches to the use of set-aside funds for improving child care quality for all children. The four study sites and focus of evaluation include: (1) the effectiveness of three language and literacy curricula on teaching practices and children's language and literacy outcomes (Miami Dade County, Florida); (2) the impact of alternative eligibility and re-determination child care subsidy policies on parental employment outcomes (Illinois); (3) the impact of alternative child care co-payment structures on use of child care subsidies and employment outcomes (Washington) and (4) the effectiveness of training on Learning Games curriculum in changing care-giving practices in family child care homes and children's developmental outcomes (Massachusetts).

Units of Response: Washington state families receiving child care subsidies.

Type of Data: Administrative

Tribal Data: No

Periodicity: One-time

Demographic Indicators: Household Income;Household Size;Race

SORN: https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records

Data Use Agreement: Yes

Data Use Agreement Location: https://www.icpsr.umich.edu/web/ICPSR/studies/29002/datadocumentation

Granularity: Family;Household

Spatial: States

Geocoding: Unavailable

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, WA (MHICILBWA53025A052NCEN) from 1989 to 2023 about Grant County, WA; WA; households; median; income; and USA.

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, and energy characteristics.

Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts. The file below, "1. 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 "2. Data Dictionary 2018". The Low-Income Energy Affordability Data comes primarily from the 2018 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2018 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 "4. 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 "5. CELICA Website" resource below.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Thurston County, WA (MHICILBWA53067A052NCEN) from 1989 to 2023 about Thurston County, WA; Olympia; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Walla Walla County, WA (MHICILBWA53071A052NCEN) from 1989 to 2023 about Walla Walla County, WA; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kittitas County, WA (MHICILBWA53037A052NCEN) from 1989 to 2023 about Kittitas County, WA; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Skamania County, WA (MHICILBWA53059A052NCEN) from 1989 to 2023 about Skamania County, WA; Portland; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Spokane County, WA (MHICILBWA53063A052NCEN) from 1989 to 2023 about Spokane County, WA; Spokane; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grays Harbor County, WA (MHICILBWA53027A052NCEN) from 1989 to 2023 about Grays Harbor County, WA; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Klickitat County, WA (MHICILBWA53039A052NCEN) from 1989 to 2023 about Klickitat County, WA; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Island County, WA (MHICILBWA53029A052NCEN) from 1989 to 2023 about Island County, WA; WA; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Snohomish County, WA (MHICILBWA53061A052NCEN) from 1989 to 2023 about Snohomish County, WA; Seattle; WA; households; median; income; and USA.