About this dataset

Context

The dataset tabulates the population of Spokane by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Spokane. The dataset can be utilized to understand the population distribution of Spokane by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Spokane. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Spokane.

Key observations

Largest age group (population): Male # 30-34 years (10,216) | Female # 25-29 years (10,088). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Spokane population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Spokane is shown in the following column.
• Population (Female): The female population in the Spokane is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Spokane for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane Population by Gender. You can refer the same here

Graph and download economic data for Resident Population in Spokane County, WA (WASPOK2POP) from 1970 to 2024 about Spokane County, WA; Spokane; WA; residents; population; and USA.

About this dataset

Context

The dataset tabulates the Spokane Valley population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Spokane Valley. The dataset can be utilized to understand the population distribution of Spokane Valley by age. For example, using this dataset, we can identify the largest age group in Spokane Valley.

Key observations

The largest age group in Spokane Valley, WA was for the group of age 30 to 34 years years with a population of 8,817 (8.36%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Spokane Valley, WA was the 80 to 84 years years with a population of 2,101 (1.99%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Spokane Valley is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Spokane Valley total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane Valley Population by Age. You can refer the same here

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces.

U.S. Census Bureau QuickFacts statistics for Spokane city, Washington. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Graph and download economic data for Resident Population in Spokane-Spokane Valley, WA (MSA) (SPKPOP) from 2000 to 2024 about Spokane, WA, residents, population, and USA.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Spokane County, WA (B03002014E053063) from 2009 to 2023 about Spokane County, WA; Spokane; African-American; WA; latino; hispanic; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in Spokane County, WA (B03002008E053063) from 2009 to 2023 about Spokane County, WA; Spokane; WA; non-hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the data for the Spokane County, WA population pyramid, which represents the Spokane County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Spokane County, WA, is 27.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Spokane County, WA, is 26.2.
• Total dependency ratio for Spokane County, WA is 53.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Spokane County, WA is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Spokane County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Spokane County for the selected age group is shown in the following column.
• Population (Female): The female population in the Spokane County for the selected age group is shown in the following column.
• Total Population: The total population of the Spokane County for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane County Population by Age. You can refer the same here

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.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Graph and download economic data for Poverty Universe, Age 5-17 related for Spokane County, WA (PUA5T17RWA53063A647NCEN) from 1998 to 2023 about Spokane County, WA; Spokane; WA; child; poverty; and USA.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Spokane County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Spokane County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Spokane County, householders within the 45 to 64 years age group have the highest median household income at $90,182, followed by those in the 25 to 44 years age group with an income of $81,585. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $55,605. Notably, householders within the under 25 years age group, had the lowest median household income at $44,515.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane County median household income by age. You can refer the same here

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of Percent of People Age 0-17 in Poverty for Spokane County, WA (PPCIUBU18WA53063A156NCEN) from 1989 to 2023 about Spokane County, WA; Spokane; under 18 years; WA; percent; child; poverty; persons; and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Spokane, WA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,128, while the mean income for the highest quintile (20% of households with the highest income) is 219,590. This indicates that the top earners earn 15 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 380,169, which is 173.13% higher compared to the highest quintile, and 2513.02% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane median household income. You can refer the same here

Contains the data compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied).For a full description of data fields see: http://www.census.gov/prod/cen2010/doc/sf1.pdf

Graph and download economic data for Estimate of People of All Ages in Poverty in Spokane County, WA (PEAAWA53063A647NCEN) from 1989 to 2023 about Spokane County, WA; Spokane; WA; child; poverty; persons; and USA.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Spokane Valley: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 2,129(4.98%) households where the householder is under 25 years old, 15,247(35.64%) households with a householder aged between 25 and 44 years, 13,696(32.01%) households with a householder aged between 45 and 64 years, and 11,709(27.37%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Spokane Valley, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Spokane Valley median household income by age. You can refer the same here

BAS Submissions Read Me

This shapefile includes the annexation polygons that the Office of Financial Management (OFM) has sent to the Census Bureau since March 2020 as part of the Boundary and Annexation Survey (BAS). The Census Bureau uses these polygons to update Washington State’s city limits. Field names follow Census BAS guidelines, and an outline of relevant field names is below. More information about BAS can be found here: https://www.census.gov/programs-surveys/bas.html

The polygons include the quarterly annexations and other boundary corrections that effect the Census city boundaries, as well as several county boundary adjustments for King, Kittitas, Pierce, Spokane, and Stevens County. The annexation polygons were originally created by Washington’s Department of Transportation, and then edited by OFM to align with the latest BAS city boundary file available. These polygons to not follow the strict legal description of the annexation, as their intent is to make clear delineations between jurisdictions for population allocation. The following are the main differences between BAS annexation polygons and the originals:

<!--· The edges and vertices of polygons are snapped first to contiguous Census city limits and then to county parcels

<!--·
Where an annexation moves a city boundary to be either adjacent or across a right of way, the polygon is drawn to the centerline of the right of way

<!--· Annexations that are only include a right of way are often omitted, as they will not change the Census Bureau boundary

This file is updated quarterly. For questions or for data from earlier years, please contact Nate Chase nate.chase@ofm.wa.gov.

Relevant Field Names:

<!--·
CHNG_TYPE- Type of area update. A is annexation, D is deannexation, and B is a boundary correction which is a newly discovered boundary discrepancy

<!--· Eff_date- the local effective date

<!--· AUTHYPE- O is ordinance or resolution; X is for boundary correction; L signifies a county boundary correction

<!--· DOCU- the legal ordinance or resolution for the annexation. If there is a blank, then the entry is a correction polygon.

<!--· RELATE- Changing from in or out of jurisdiction

<!--· JUSTIFY- OFM’s reason for submitting the change polygon

<!--· A_Date- this is the date that OFM approves the annexation. OFM cannot legally approve annexations until all state requirements are met. The approval date cannot be earlier than the effective date, but it can be on the same day. OFM’s population determinations use the approval date of annexations. BAS submissions are only submitted after this date.

<!--· Source- The file in which the change polygon was originally submitted. Examples:

o
2022_Q1 submitted in December 2021

o 2022_Q2 submitted in March 2022

o
2022_Q3 submitted in June 2022

o
2022_Q4 submitted in September 2022