About this dataset

Context

The dataset tabulates the Portal population by age. The dataset can be utilized to understand the age distribution and demographics of Portal.

Content

The dataset constitues the following three datasets

• Portal, ND Age Group Population Dataset: A complete breakdown of Portal age demographics from 0 to 85 years, distributed across 18 age groups
• Portal, ND Age Cohorts Dataset: Children, Working Adults, and Seniors in Portal - Population and Percentage Analysis
• Portal, ND Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

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.

The United States Census Bureau publishes geographic units used for tabulation of the 2020 Census population data in the 2020 TIGER/Line Shapefile. The geographic units, which remain constant throughout the decade, include counties, census tracts, block groups, and blocks. Fields have been added so data formatted or published by the council can be joined to the shapefile for analysis. Each Shapefile (.shp) is in a compressed file (.zip) format. Blocks.zip - Census Blocks BlockGroups.zip - Block Groups Tracts.zip - Census Tracts Counties.zip - Counties Cities.zip - Census Places (Cities) CDPs.zip - Census Designated Places Each 'Pop' file contains the 2020 Census population for the corresponding geographic level. BlocksPop.zip - Census Blocks 2020 Census Population BlockGroupPop.zip - Census Block Groups 2020 Census Population TractsPop.zip - Census Tracts 2020 Census Population CountiesPop.zip - Counties 2020 Census Population

Census blocks are geographic areas within a census block group. U.S. Census blocks are the smallest geographic entities within a county for which the Census Bureau tabulates population.

About this dataset

Context

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

Key observations

The largest age group in Portal, GA was for the group of age Under 5 years years with a population of 77 (11.79%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Portal, GA was the 85 years and over years with a population of 11 (1.68%). 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 Portal is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Portal 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 Portal Population by Age. You can refer the same here

More than 39 million people and 14.2 million households span more than 163,000 square miles of Californian’s urban, suburban and rural communities. California has the fifth largest economy in the world and is the most populous state in the nation, with nation-leading diversity in race, ethnicity, language and socioeconomic conditions. These characteristics make California amazingly unique amongst all 50 states, but also present significant challenges to counting every person and every household, no matter the census year. A complete and accurate count of a state’s population in a decennial census is essential. The results of the 2020 Census will inform decisions about allocating hundreds of billions of dollars in federal funding to communities across the country for hospitals, fire departments, school lunch programs and other critical programs and services. The data collected by the United States Census Bureau (referred hereafter as U.S. Census Bureau) also determines the number of seats each state has in the U.S. House of Representatives and will be used to redraw State Assembly and Senate boundaries. California launched a comprehensive Complete Count Census 2020 Campaign (referred to hereafter as the Campaign) to support an accurate and complete count of Californians in the 2020 Census. Due to the state’s unique diversity and with insights from past censuses, the Campaign placed special emphasis on the hardest-tocount Californians and those least likely to participate in the census. The California Complete Count – Census 2020 Office (referred to hereafter as the Census Office) coordinated the State’s operations to complement work done nationally by the U.S. Census Bureau to reach those households most likely to be missed because of barriers, operational or motivational, preventing people from filling out the census. The Campaign, which began in 2017, included key phases, titled Educate, Motivate and Activate. Each of these phases were designed to make sure all Californians knew about the census, how to respond, their information was safe and their participation would help their communities for the next 10 years.

Educational Attainment By Race. From ACS Table C15002. 5yr ACS 2007-11, By Tract, State of Michigan. Table joined to 2010 TiGER census tracts.American Community Survey tables and variable definitions: http://www2.census.gov/acs2013_5yr/summaryfile/Sequence_Number_and_Table_Number_Lookup.xls .

This layer presents the U.S. Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia, sourced from 2023 Census TIGER/Line data and includes the estimated annual population total of each County.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2023 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2023 estimated total population from the Esri demographics team.This ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/

Census blocks are geographic areas within a census block group. U.S. Census blocks are the smallest geographic entities within a county for which the Census Bureau tabulates population.

Census tracts are small, relatively permanent statistical subdivisions of a county delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts are 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.

U.S. Census Populated Place Areas represents the 2020 U.S. Census populated place areas of the United States that include incorporated places, cities, and census designated places identified by the U.S. Census Bureau.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data. The Population Class field values represent population ranges as follows:Population from 0 - 249Population from 250 - 499Population from 500 - 999Population from 1,000 - 2,499Population from 2,500 - 9,999Population from 10,000 - 49,999Population from 50,000 - 99,999Population from 100,000 - 249,999Population from 250,000 - 499,999Population 500,000 and overThis ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

Census tracts are small, relatively permanent statistical subdivisions of a county delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts are 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.

The California Complete Count Office (CCCO) implemented the Census 2020 Communications Campaign to provide culturally sensitive and relevant information about Census 2020 to California's 15 hardest-to-count (HTC) populations, with the objective of motivating these populations to complete the 2020 Census form. The campaign combined multi-platform media at the state level with outreach strategies implemented at the region, county and city levels by community partner organizations.

The U.S. Census Grids (Summary File 3), 2000 data set contains grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and GeoTIFF formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

India's census housing datasets offer a deep dive into the nation's living conditions. They classify dwellings by type and construction material, shedding light on construction quality. The data also details ownership versus tenancy and essential amenities like water and electricity. Insights into housing size and special housing types, such as hostels, further enrich the picture. These datasets are invaluable for understanding and addressing India's diverse housing needs.

USA Census Tracts for Urban Search and Rescue. This layer can be used for search segment planning. Census Tracts generally contain between 1,200 and 8,000 people, with an optimum size of 4,000 people and the boundaries generally follow existing roads and waterways. The field segment_designation is the last 5 digits of the unique identifier and matches the field in the SARCOP Segment layer.This layer presents the USA 2020 Census Tract boundaries of the United States in the 50 states and the District of Columbia. It is updated annually as Tract boundaries change. The geography is sourced from US Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrology to add a detailed coastline for cartographic purposes. Geography last updated May 2022.Attribute fields include 2020 total population from the US Census PL94 data.

2010 Deschutes County, Oregon Census Blocks. Census blocks are geographic areas within a census block group. U.S. Census blocks are the smallest geographic entities within a county for which the Census Bureau tabulates population.

Notes: These 7 fields are mutually exclusive. Use them if you need the sum of the race categories to equal total population. NH_WHITE_O Not Hispanic or Latino: Population of one race: White alone NH_BLACK_O Not Hispanic or Latino: Population of one race: Black or African American alone NH_AIAN_ON Not Hispanic or Latino: Population of one race: American Indian and Alaska Native alone NH_ASIAN_O Not Hispanic or Latino: Population of one race: Asian alone NH_NHOPI_O Not Hispanic or Latino: Population of one race: Native Hawaiian and Other Pacific Islander alone NH_OTHER Not Hispanic or Latino: Population of one race: Some Other Race alone NH_TWO_OR_ Not Hispanic or Latino: Population of two or more races

Use these fields to include all people who chose the specific race. For example, 30% of Oregonians who chose ""Black or African American"" also chose another race and some also chose Hispanic, so the NH_BLACK_O field under reports the African American population. The sum of these fields may exceed total population.WH_AOIC White alone or in combination with one or more other races BL_AOIC Black or African American alone or in combination with one or more other races AIAN_AOIC American Indian and Alaska Native alone or in combination with one or more other races ASN_AOIC Asian alone or in combination with one or more other races NHOPI_AOIC Native Hawaiian and Other Pacific Islander alone or in combination with one or more other races OTH_AOIC Some Other Race alone or in combination with one or more other races.

Taken from the 2010 TIGER census shape file, Data Driven Detroit selected the Detroit tracts and created a separate file