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 2022, the population of Portland town was 1,080, a 0.64% decrease year-by-year from 2021. Previously, in 2021, Portland town population was 1,087, an increase of 0.18% compared to a population of 1,085 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Portland town decreased by 34. In this period, the peak population was 1,158 in the year 2008. The numbers suggest that the population has already reached its peak and is showing a trend of decline. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• 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

About this dataset

Context

The dataset tabulates the data for the Portland Town, Dodge County, Wisconsin population pyramid, which represents the Portland town 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 Portland Town, Dodge County, Wisconsin, is 19.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Portland Town, Dodge County, Wisconsin, is 28.2.
• Total dependency ratio for Portland Town, Dodge County, Wisconsin is 47.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Portland Town, Dodge County, Wisconsin is 3.5.

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 Portland town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Portland town for the selected age group is shown in the following column.
• Population (Female): The female population in the Portland town for the selected age group is shown in the following column.
• Total Population: The total population of the Portland town 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 Portland town Population by Age. You can refer the same here

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.

This dataset provides information about the number of properties, residents, and average property values for Portland Avenue cross streets in Beach City, OH.

About this dataset

Context

The dataset tabulates the Portland town 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 Portland town. The dataset can be utilized to understand the population distribution of Portland town by age. For example, using this dataset, we can identify the largest age group in Portland town.

Key observations

The largest age group in Portland Town, Dodge County, Wisconsin was for the group of age 60 to 64 years years with a population of 112 (13.29%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Portland Town, Dodge County, Wisconsin was the 80 to 84 years years with a population of 3 (0.36%). 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 Portland town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Portland town 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 Portland town Population by Age. You can refer the same here

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

The 2014 Town and Community Profiles bring together information on more than
1000 Victorian communities from a wide variety of sources, both internal and
external to the Department of Health and Department of Human Services. The
Profiles include information on population, geography, services and
facilities, and social, cultural and demographic characteristics of each
suburb, town and rural catchment in Victoria.

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

Each Rescue Plan project has one type of City of Portland allocation category. This table maps the investment area ID (from the City of Portland Rescue Plan Allocation Categories dataset) to subproject ID (from the Subprojects dataset).-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60964

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.

These data were automated to provide an accurate high-resolution historical shoreline of Portland City and Harbor, Maine suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

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

During the Cretaceous, widespread black shale deposition occurred during a series of Oceanic Anoxic Events (OAEs). Multiple processes are known to control the deposition of marine black shales, including changes in primary productivity, organic matter preservation, and dilution. OAEs offer an opportunity to evaluate the relative roles of these forcing factors. The youngest of these events-the Coniacian to Santonian OAE 3-resulted in a prolonged organic carbon burial event in shallow and restricted marine environments including the Western Interior Seaway. New high-resolution isotope, organic, and trace metal records from the latest Turonian to early Santonian Niobrara Formation are used to characterize the amount and composition of organic matter preserved, as well as the geochemical conditions under which it accumulated. Redox sensitive metals (Mo, Mn, and Re) indicate a gradual drawdown of oxygen leading into the abrupt onset of organic carbon-rich (up to 8%) deposition. High Hydrogen Indices (HI) and organic carbon to total nitrogen ratios (C:N) demonstrate that the elemental composition of preserved marine organic matter is distinct under different redox conditions. Local changes in d13C indicate that redox-controlled early diagenesis can also significantly alter d13Corg records. These results demonstrate that the development of anoxia is of primary importance in triggering the prolonged carbon burial in the Niobrara Formation. Sea level reconstructions, d18O results, and Mo/total organic carbon ratios suggest that stratification and enhanced bottom water restriction caused the drawdown of bottom water oxygen. Increased nutrients from benthic regeneration and/or continental runoff may have sustained primary productivity.

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.

This dataset provides information about the number of properties, residents, and average property values for Portland Boulevard cross streets in Sioux City, IA.

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

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

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