About this dataset

Context

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

Key observations

The largest age group in Cogan House Township, Pennsylvania was for the group of age 60 to 64 years years with a population of 100 (11.11%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Cogan House Township, Pennsylvania was the 75 to 79 years years with a population of 26 (2.89%). 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 Cogan House township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cogan House township 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 Cogan House township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Cogan House township 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 Cogan House township 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 Cogan House township was 923, a 0.22% decrease year-by-year from 2022. Previously, in 2022, Cogan House township population was 925, a decline of 0.75% compared to a population of 932 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Cogan House township decreased by 46. In this period, the peak population was 969 in the year 2000. 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 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 Cogan House township is shown in this column.
• Year on Year Change: This column displays the change in Cogan House township 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 Cogan House township Population by Year. You can refer the same here

Comprehensive demographic dataset for Spring House, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the data for the Cogan House Township, Pennsylvania population pyramid, which represents the Cogan House township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Cogan House Township, Pennsylvania, is 26.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Cogan House Township, Pennsylvania, is 30.4.
• Total dependency ratio for Cogan House Township, Pennsylvania is 56.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Cogan House Township, Pennsylvania is 3.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Cogan House township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Cogan House township for the selected age group is shown in the following column.
• Population (Female): The female population in the Cogan House township for the selected age group is shown in the following column.
• Total Population: The total population of the Cogan House township 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 Cogan House township Population by Age. You can refer the same here

Comprehensive demographic dataset for Country Home, Lower Macungie, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Terry Hill Home Park, Upper Macungie, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Country Home Acres, Salisbury, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

In 2021, about 13.43 million households were counted in the federal state of California, the most out of any state. Texas, Florida, New York, and Pennsylvania rounded out the top five states with the most number of households in that year.

Comprehensive demographic dataset for Hidden Springs Mobile Home Park, Souderton, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Elkins Park House, Elkins Park, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Hill House, Huntingdon Valley, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Red Maple Acres Mobile Home Park, Lower Macungie, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 2025 through December 2026. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The generalzied boundaries of all other congressional districts are based on information provided to the Census Bureau by the states by May 31, 2024.

Every 10 years, the number of seats a state has in the U.S. House of Representatives, and therefore the Electoral College, changes based on population. While many states experienced no change in representation due to the 2020 Census, a few states gained or lost seats. Texas notably gained *** seats due to an increase in population, while New York, Michigan, California, West Virginia, Pennsylvania, Ohio, and Illinois all lost *** seat.

This change will stay in place until 2030, when the next Census is conducted in the United States.

Comprehensive demographic dataset for North Philadelphia, Philadelphia, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 19477 (Spring House, PA). Interactive charts load automatically as you scroll for improved performance.

Comprehensive demographic dataset for Coventry House, Elkins Park, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Curly House, Upper Saucon, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. This dataset was produced by the US EPA 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).

About this dataset

Context

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

Key observations

The largest age group in Cogan House Township, Pennsylvania was for the group of age 60 to 64 years years with a population of 91 (9.65%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Cogan House Township, Pennsylvania was the 75 to 79 years years with a population of 17 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Cogan House township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cogan House township 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 Cogan House township Population by Age. You can refer the same here