Context

This is crime data in Portland as provided by the city's open data portal, from 2015-2021.

Content

Data is broken out by neighborhood and date, with the various types of crimes committed.

Acknowledgements

Thanks to the city of Portland for making this data publicly accessible.

U.S. Census Bureau QuickFacts statistics for Portland city, 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.

Comprehensive demographic dataset for Rose City Park, Portland, OR, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The Open Data Initiative Resource Site of city of Portland, Oregon. All documents and data related to the ODI will be posted here.

This data is maintained by and obtained from Metro Data Resource Center. Please go to http://rlisdiscovery.oregonmetro.gov/metadataviewer/display.cfm?meta_layer_id=123 for the complete metadata.

--Additional Information: Category: Boundary Purpose: No purpose information available. Update Frequency: Unknown

© City of Portland, Oregon

Portland Neighborhood association boundaries. BPS maintains GIS data under direction of ONI.-- Additional Information: Category: Boundary Purpose: Mapped by-law boundaries of Portland neighborhoods Update Frequency: As Needed-- Metadata Linkhttps://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=53509

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Portland Police Department (City) in Oregon, including incidents, statistics, demographics, and detailed incident information.

Rescue Plan services provided by City of Portland bureaus/offices in Rescue Plan projects that serve a variety of recipients in a geographical area. Dataset includes type and quantity of services.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60936

Community Specific Profiles are grouped by race and ethnicity. We measure by race, ethnicity, and other demographics to understand the specific needs of different communities and evaluate effective service delivery and accountability. This dataset is the groupings used to combine projects with multiple levels and types of data standards. These include the minimum and comprehensive race and ethnicity categories from the City of Portland Rescue Plan Data Standards. They also include race and ethnicity categories in the HUD HMIS data standards.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60968

Context

In 2015/2016, PDX Monthly began to collect statistical summary data about Portland real estate on a neighborhood by neighborhood basis.

This data set aggregates and cleans up that content. The data normalization code can be found in Github.

Content

In general, the dataset contains statistical aggregations (average sale price, average days on market, etc). The PDX Monthly crowd did not provide the underlying data, and the changed their columns over the years, so the data is a bit messy.

This dataset contains Assessor data collected from the Portland Maps API, which provides information on building permits issued in the city of Portland, Oregon. The data covers over 144,000 unique permit IDs, with the oldest permit dating back to 1996. The dataset is updated daily.

Project Ideas

Residential Infill Project Rezoning and Permits: Analyze the impact of Portland's Residential Infill Project and Oregon House Bill 2001 on building permits in Portland. Look at the number and type of permits issued before and after the adoption of RIP, and examine the location and size of properties where permits are issued to understand the effects of these changes on the housing market.

Permit Issuance and Valuation Prediction: Model the predicted change in home value resulting from a permit being issued for a specific property. Use historical permit data and property features, such as location, size, and zoning, to train the model.

ADU Impact on Home Value: Investigate the effect of Accessory Dwelling Units (ADUs) on home values in Portland. Look at the number of ADU permits issued over time, and compare the home values of properties with and without ADUs.

Permit Issuance Trends Over Time: Identify trends in permit issuance over time, including changes in the number and type of permits issued each year, as well as differences across neighborhoods or property types.

About this dataset

Context

The dataset tabulates the Portland town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Portland town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Portland town was 845, a 0.48% increase year-by-year from 2022. Previously, in 2022, Portland town population was 841, an increase of 1.20% compared to a population of 831 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Portland town increased by 182. In this period, the peak population was 845 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Portland town is shown in this column.
• Year on Year Change: This column displays the change in Portland town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Portland town Population by Year. You can refer the same here

APR's Long Range Plan for Land, Facilities and Programs, Our Parks, Our Future (adopted November 2019) compared Austin’s park system to five peer cities: Atlanta, GA, Dallas, TX, Portland, OR, San Antonio, TX, and San Diego, CA. The peer cities were selected based on characteristics such as population, size, density, and governance type. Portland and San Diego were selected as aspirational cities known for their park systems.

Note that the table below presents each scoring area’s 1 to 100 index, where 100 is the highest possible score.

Portland City Council invests Rescue Plan funds in three ways; to projects providing services and relief; to support program delivery; and to replace City of Portland revenue lost due to the pandemic. This dataset describes the five organizing categories for allocations. Numbers 1-3 are the Council Investment Priority Areas for all projects, number 4 is program delivery and number 5 is revenue replacement.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60938

Contour dataset represents the earth's surface with all vegetation and man-made structures removed representing just the physical ground surface. Features represent approximated elevations.-- Additional Information: Category: Land Purpose: For general mapping purposes. Update Frequency: None Planned-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54338

This data layer is an element of the Oregon GIS Framework. 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 and beyond, 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.

Population Estimates from Portland State University's Center for Populations Statistics. Estimates published December 2018.

This EnviroAtlas dataset presents environmental benefits of the urban forest in 1176 block groups in Portland, Oregon. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

The Genre-Based Book Data from Powell's city of Book dataset could include book information such as title, author name, publisher, publication date, ISBN or other unique identifiers, genre, book description, customer reviews, and price.

Additional data that could be extracted from the website might include the popularity of books based on sales rank, ratings, and reviews. Powell's City of Books may also offer additional information on each book, such as whether it is a signed copy, a first edition, or a rare book.

The dataset may require additional processing or cleaning steps to ensure that the data is accurate and ready for analysis. For example, some books may have multiple authors or editions, which could require data cleaning to standardize and group the data correctly. https://upload.wikimedia.org/wikipedia/commons/6/67/Powell%27s_City_of_Books_%28logo%29.png"> Powell's Books is an independent bookseller serving Portland, Oregon, since 1971. Through Powells.com and our expansive online community, we also reach readers around the world, people who are as excited about books as we are.

We are grounded by our company's core values, which have guided us through the ups and downs of the bookselling industry. Each and every employee's love of books drives us forward.

We look forward to a future filled with many new opportunities, new innovations, and, of course, new books!

This data is maintained by and obtained from Metro Data Resource Center. Please go to http://rlisdiscovery.oregonmetro.gov/metadataviewer/display.cfm?meta_layer_id=179 for the complete metadata.

--Additional Information: Category: Boundary Purpose: No purpose information available. Update Frequency: Irregular

© City of Portland, Oregon

This layer is sourced from CGIS Open Data.