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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 # 30-34 years (156,831) | Female # 30-34 years (150,877). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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 Oregon Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Oregon City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Oregon City across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 50.06% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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
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 Oregon City Population by Race & Ethnicity. You can refer the same here
In 2023, about ** percent of the population in Oregon was between the ages of 25 and 34 years old. A further **** percent of the population was between the ages of 45 and 54 years old in that same year.
In 2023, **** percent of Oregon residents were Hispanic or Latino (of any race). A further **** percent of the population were white, and **** percent of Oregon residents were of two or more races in that same year.
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.
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
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
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
A historical tabulation of selected tax return statistics by counties and other geographic areas reported every year by the Research Section at the Department of Revenue. Source data comes from Tables A through D in the "Returns by county, other states, and city" spreadsheet that accompanies every annual Personal Income Tax publication. Data are reported for all 36 Oregon counties as well as five areas outside Oregon, based on the mailing address on the return when it was filed. Clark County, Washington, is reported separately from the remainder of Washington because so many Clark County residents work in Portland. Idaho and California also have individual tables. Returns from all other states (and outside of the US) are grouped together as "Other". For full-year resident returns, Oregon AGI is the same as federal AGI. For part-year resident and nonresident returns, Oregon AGI is determined from Oregon sourced income and adjustments. Note that some rows have blank cells indicating that data has been omitted, often for disclosure reasons. See "data limitations" below.
Refer to the Oregon Address Data Standard v. 1.0 (2025) for a complete description of the Address Data Standard feature class and domains of acceptable values for many fields. This standard is used for addresses within the State of Oregon.https://www.oregon.gov/eis/geo/Documents/Oregon%20Address%20Point%20Standard%20v1.0.pdf
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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.
Public comments for the Oregon Draft Data Strategy. Phase 2 extends from October 26, 202 - December 15, 2020. Comments are received through a google form (https://forms.gle/suhzPoMpWZfhPTHs6) and synced daily at 5pm PST. Individuals who submitted files (pdf, word) to the Oregon.DATA@oregon.gov email address in lieu of using the google form will have their comments posted directly to the Oregon Data Strategy Website at https://www.oregon.gov/das/OSCIO/Pages/DataStrategy.aspx
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Oregon 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 Oregon. The dataset can be utilized to understand the population distribution of Oregon by age. For example, using this dataset, we can identify the largest age group in Oregon.
Key observations
The largest age group in Oregon was for the group of age 30 to 34 years years with a population of 307,708 (7.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Oregon was the 80 to 84 years years with a population of 80,941 (1.91%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
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 Oregon Population by Age. You can refer the same here
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Labor Force Participation Rate for Oregon (LBSSA41) from Jan 1976 to Jun 2025 about OR, participation, labor force, labor, rate, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Unemployment Rate in Oregon (ORURN) from Jan 1976 to Jul 2025 about OR, unemployment, rate, and USA.
Yearly and monthly growth charts for sports betting in Oregon , including handle, revenue, and growth metrics
Financial overview and grant giving statistics of Shape Up Across Oregon
Financial overview and grant giving statistics of Oregon Service Council
Financial overview and grant giving statistics of Health Care For All Oregon Action
Financial overview and grant giving statistics of Oregon Public Performance Measurement Association
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).