A dataset listing Washington cities by population for 2024.

About this dataset

Context

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

Key observations

The largest age group in East Washington, PA was for the group of age 20 to 24 years years with a population of 201 (12.12%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in East Washington, PA was the 85 years and over years with a population of 19 (1.15%). 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 East Washington is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of East Washington 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 East Washington Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the East Washington, PA population pyramid, which represents the East Washington 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 East Washington, PA, is 16.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for East Washington, PA, is 27.7.
• Total dependency ratio for East Washington, PA is 44.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for East Washington, PA is 3.6.

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

This data collection contains dress rehearsal data for the 1990 Census of Population and Housing. Data are included for St. Louis and portions of several Missouri counties, and for several counties in the state of Washington. The files contain only 100 percent items and no sample items are present. Population variables include age, race, sex, marital status, Hispanic origin, household type, and household relationship. Housing items include occupancy/vacancy status, tenure, units in structure, contract rent, meals included with rent, value, and number of rooms in housing unit. Some items are cross-tabulated, and selected aggregates and medians are also provided.

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Eastern Oregon-Washington Province is located in eastern Oregon and eastern Washington, encompassing all or parts of Baker, Clackamas, Crook, Deschutes, Gilliam, Grant, Harney, Hood River, Jefferson, Linn, Malheur, Marion, Morrow, Sherman, Umatilla, Union, Wallowa, Wasco, Wheeler Counties in Oregon and all or parts of Adams, Asotin, Benton, Chelan, Columbia, Douglas, Ferry, Franklin, Garfield, Grant, King, Kittitas, Klickitat, Lewis, Lincoln, Okanogan, Pend Oreille, Skagit, Skamania, Snohomish, Spokane, Stevens, Walla Walla, Whatcom, Whitman, Yakima Counties in Washington. The main population centers within the study area are Heppner, John Day, Mitchell and Union in Oregon; and The Dalles, Richland, Spokane and Yakima in Washington. The main highways, I-84 and I-90, generally traverse the area from east to west. The Columbia River and their tributaries drain the area. The province boundary was drawn to include the geologic structures generally considered to be in or bounding the Eastern Oregon-Washington Basin.

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U.S. Census Bureau QuickFacts statistics for East Wenatchee city, Washington. 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.

U.S. Census Bureau QuickFacts statistics for Bothell East CDP, Washington. 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.

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

The Pend Oreille elk sub-herd is part of the larger Selkirk elk herd located in northeast Washington on nine Game Management Units (GMU; GMUs 101, 105, 108, 111, 113, 117, 121, 124, and 204). Elk used in this analysis were collared in GMUs 117 and 121 on winter ranges located east and west of the Huckleberry Mountain Range, along the Colville River Valley that splits the two GMUs, and west of the Pend Oreille River. In this area, private landowners manage 77 percent of the land (primarily for timber), the U.S. Forest Service manages 16 percent, and the U.S. Fish and Wildlife Service, Department of Natural Resources, and Bureau of Land Management manage the remaining 7 percent. Montane conifer forests dominate the mid-to-higher elevations of the region, while agriculture predominates the valley. The Pend Oreille elk sub-herd is partially migratory, with three main migratory routes. A segment of the population traverses the northern portions of the Huckleberry Mountains along Summit Valley, others migrate north of Chewelah Mountain following the South Fork Chewelah and Winchester Creeks, and another group migrates around Bald Mountain following the Buck Creek drainage. Elk move freely between GMUs 117 and 121, which is bisected by U.S. Highway 395 where some of the highest incidences of wildlife-vehicle collisions are reported (G. Kalisz, Washington Department of Transportation, written commun.). Based on collared elk data, harvest and vehicle collisions are the primary and secondary causes of mortality, respectively, for adult females in this population. A large portion of the adult female harvest occurs on private property and in response to agricultural damage complaints. These mapping layers show the location of the winter ranges for Elk (cervus canadensis) in the Pend Oreille population in Washington. They were developed from 149 winter sequences collected from a sample size of 56 animals comprising GPS locations collected every 4 hours.

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The Wenatchee Mountains mule deer herd inhabits a matrix of private and public lands along the eastern slope of the Cascade Range in Chelan and Kittitas Counties in Washington (fig. 24). Historically, the Wenatchee Mountains mule deer herd was separated into two subherds, Chelan and Kittitas; however, recent GPS collar data indicated the mule deer south of U.S. Highway 2 and north of Interstate 90 represent one population. Their high-use winter range extends along the foothills west and south of Wenatchee, Washington and throughout the foothills of the Kittitas Valley near Ellensburg. Their low-use winter range occurs along the foothills west of the Columbia River north of Interstate 90. In the spring, migratory individuals travel west into the Wenatchee Mountains to their summer range, which includes regional wilderness areas. Between 2020 and 2021, collaring efforts focused on the foothills near Wenatchee and in the surrounding foothills near Ellensburg. Collar data analysis indicated the Wenatchee Mountains mule deer population is partially migratory. A high proportion of migratory individuals inhabit the northern winter range of the Wenatchee Mountains, and resident individuals more commonly inhabit the foothills of the Kittitas Valley. In 2022, collaring efforts of mule deer (n=25) in the northern winter range foothills near Wenatchee targeted the higher proportion of the migratory population, to more clearly identify the movement corridors intersecting U.S. Highway 97 near Blewett Pass. The herd has several challenges, including the increasing frequency of large-scale wildfires and residential developments, which continue to degrade and reduce available winter habitat. Disturbance from human recreation on the winter range continues to be a concern. Additionally, U.S. Highway 97 and State Route 970 receive high volumes of traffic in the region and present semipermeable barriers to spring and fall migration. These mapping layers show the location of the migration routes for mule deer (Odocoileus hemionus) in the Wenatchee population in Washington. They were developed from 184 migration sequences collected from a sample size of 59 animals comprising GPS locations collected every 4 hours.

About this dataset

Context

The dataset tabulates the population of East Washington by race. It includes the population of East Washington across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of East Washington across relevant racial categories.

Key observations

The percent distribution of East Washington population by race (across all racial categories recognized by the U.S. Census Bureau): 93.05% are white, 3.79% are Black or African American, 0.58% are Asian, 1.17% are some other race and 1.40% are multiracial.

https://i.neilsberg.com/ch/east-washington-pa-population-by-race.jpeg" alt="East Washington population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the East Washington
• Population: The population of the racial category (excluding ethnicity) in the East Washington is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Washington 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 East Washington Population by Race & Ethnicity. You can refer the same here

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The goals of the Established Populations for Epidemiologic Studies of the Elderly (EPESE) project were to describe and identify predictors of mortality, hospitalization, and placement in long-term care facilities and to investigate risk factors for chronic diseases and loss of functioning. The survey elicited information from persons 65 years of age and older in four geographic locations: East Boston, Massachusetts, New Haven, Connecticut, Iowa and Washington Counties, Iowa, and five counties in north central North Carolina. The public use baseline data (Part 1) cover demographic characteristics (age, sex, race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression. Data from six follow-up surveys conducted in all four of the sites are also provided (Parts 2-4 and 6-8), along with information from death certificates for deaths occurring in the first six years of follow-up for all four sites (Part 5).