The State Library of Oregon collects annual service measures, financial data, and other statistics from all legally-established public libraries in the state, as per Oregon Revised Statue 357.520 (Annual report). The data reporting period matches the state fiscal year (July 1 through June 30). This dataset includes all Oregon Public Library Statistical Report data from each year starting in FY2009-2010, and is updated annually. Reporting periods are identified as the year the report was submitted (i.e., FY2009-2010 data is identified as 2010 in the Year column).

About this dataset

Context

The dataset tabulates the population of Oregon by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oregon. The dataset can be utilized to understand the population distribution of Oregon by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oregon. 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 Oregon.

Key observations

Largest age group (population): Male # 65-69 years (203) | Female # 60-64 years (201). 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 Oregon population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oregon is shown in the following column.
• Population (Female): The female population in the Oregon 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 Oregon 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 Oregon Population by Gender. You can refer the same here

In 2023, about 14 percent of the population in Oregon was between the ages of 25 and 34 years old. A further 12.4 percent of the population was between the ages of 45 and 54 years old in that same year.

About this dataset

Context

The dataset tabulates the population of Oregon by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Oregon across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.45% of total population being male. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Oregon is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Oregon 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 Oregon Population by Race & Ethnicity. You can refer the same here

In 2023, 14.9 percent of Oregon residents were Hispanic or Latino (of any race). A further 73.9 percent of the population were white, and 12.9 percent of Oregon residents were of two or more races in that same year.

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 TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

In 2023, about **** million people lived in Oregon. This was a slight decrease from the previous year, when about **** million people lived in the state. In 1960, the resident population of Oregon stood at about **** million people.

Voter registration data after redistricting. For voter data before redistricting visit: https://data.oregon.gov/Administrative/Voter-Registration-Data-Prior-to-Redistricting/6a4f-ecbi Find more elections and voter statistics for Oregon at https://sos.oregon.gov/elections/Pages/electionsstatistics.aspx

This dataset represents basic demographic information about the structural firefighting agencies in Oregon. Included in this dataset are the square mileage within the jurisdictional boundaries of fire agencies, protected population, and building count. Also included are the number of career and volunteer firefighters, firefighter casualties, and summary incident information.

U.S. Census Bureau QuickFacts statistics for Polk County, Oregon. 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 Labor Force Participation Rate for Oregon (LBSSA41) from Jan 1976 to Apr 2025 about OR, participation, labor force, labor, rate, and USA.

This is the current version of Oregon's Open Data Standard. The Open Data Standard identifies requirements for agencies publishing open data in compliance with ORS 276a.350-374.

Graph and download economic data for Unemployed Persons in Oregon (LASST410000000000004) from Jan 1976 to May 2025 about OR, household survey, unemployment, persons, and USA.

Graph and download economic data for Employed Persons in Oregon (LAUST410000000000005) from Jan 1976 to May 2025 about OR, household survey, employment, persons, and USA.

Graph and download economic data for All Employees: Construction in Oregon (ORCONS) from Jan 1990 to May 2025 about OR, construction, employment, and USA.

Graph and download economic data for Unemployment Rate in Oregon (ORURN) from Jan 1976 to May 2025 about OR, unemployment, rate, and USA.

Homeownership Rate for Oregon was 63.00% in January of 2024, according to the United States Federal Reserve. Historically, Homeownership Rate for Oregon reached a record high of 69.00 in January of 2004 and a record low of 61.00 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rate for Oregon - last updated from the United States Federal Reserve on June of 2025.

The State of Oregon Agency Data Inventory is an enterprise level inventory that provides a listing of all state agency data inventories, as required in HB 3361(2017), and codified in ORS276A.350-374. This statute requires that state agencies must “create and maintain an inventory of agency information resources,” and include an indication as to whether or not the information or dataset is considered “publishable.” They must then contribute this information to an enterprise level data inventory, maintained by the Chief Data Officer, for display on a centralized open data portal.
For questions about any dataset listed in this inventory, contact the agency directly. For additional information about this inventory or Oregon’s Open Standard, visit Oregon’s Open Data Program. https://data.oregon.gov/stories/s/Oregon-s-Open-Data-Standard/xr2x-d2d7/

In 2023, about 12.2 percent of Oregon's population lived below the poverty line. This was a slight increase from the previous year, when about 12.1 percent of Oregon residents lived below the poverty line. The poverty rate of the United States since 1990 can be accessed 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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.