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

Comprehensive demographic dataset for Hot Springs National Park, AR, 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 National Park 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 National Park. The dataset can be utilized to understand the population distribution of National Park by age. For example, using this dataset, we can identify the largest age group in National Park.

Key observations

The largest age group in National Park, NJ was for the group of age 40-44 years with a population of 290 (9.46%), according to the 2021 American Community Survey. At the same time, the smallest age group in National Park, NJ was the 80-84 years with a population of 32 (1.04%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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 in consideration
• Population: The population for the specific age group in the National Park is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of National Park 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 National Park Population by Age. You can refer the same here

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

Mid-year (30 June) estimates of the usual resident population for the 13 National Parks in England and Wales. These are official statistics in development.

Estimates of the usual resident population as at 30 June 2012 for the 13 National Parks in England and Wales.

About this dataset

Context

The dataset tabulates the data for the National Park, NJ population pyramid, which represents the National Park 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 National Park, NJ, is 21.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for National Park, NJ, is 19.9.
• Total dependency ratio for National Park, NJ is 41.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for National Park, NJ is 5.0.

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

FST estimates in italics are significant. % SZ refers to the percentage of pairwise tests between sanctuary zones within each park that were genetically different. IBD refers to patterns of isolation by distance (correlations between genetic differentiation and geographic distances) which could be either non-significant (ns) or positive correlations (+). Park abbreviations are as in materials and methods. IBD was not calculated over all marine parks for Phyllospora because only 2 marine parks were sampled.

According to a 2021 census, the South Downs had the largest resident population among the ** national parks located in England and Wales that year with ******* residents. Stretching across the English counties of Hampshire, West Sussex, and East Sussex, the South Downs had over **************** more residents than any other English or Welsh national park in 2021, as well as over ************ more residents within its borders than a decade earlier. Among Welsh national parks, the Brecon Beacons, known in Welsh as Bannau Brycheiniog, had the largest population amounting to ****** in 2021.

This dataset provides population estimates for the national park areas in Wales for the period from 2001 onwards by sex and single year of age, together with some aggregated age groups. This material is Crown Copyright and may be re-used (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence.

This product is part of the set of Small Area Population Estimates (SAPE) and includes estimates for National Parks in England and Wales.

Source agency: Office for National Statistics

Designation: Experimental Official Statistics

Language: English

Alternative title: National Park Population Estimates (experimental)

In 2019, the North Coast Redwoods District of California State Parks began to implement the Humboldt marten population inventory and monitoring protocol (Slauson and Moriarty 2014) in the Redwood National and State Parks (RNSP) complex with the goal on conducting a complete survey of all park units in the complex within 4 years. In 2019, Del Norte Coast Redwoods State Park and the National Park units adjacent to it were surveyed and Humboldt martens were detected at only one of 36 survey units (Slauson 2021). This single detection occurred on the eastern edge of the park in serpentine forest habitat. In 2020, Prairie Creek Redwoods State Park and the adjacent portions of Redwood National Park were surveyed and martens were detected at 12 (31%) of 39 surveys units (Slauson 2021). In 2021, surveys were conducted in Jedediah Smith Redwoods State Park and in 2022, the final portion of Redwood National Park which included most of the Redwood Creek watershed in the southern end of the Park was surveyed. This report covers the final two years (2021 and 2022) of survey efforts needed to complete the first systematic survey inventory of martens and their predators across all the park units in the RNSP complex.

‘Rangers’ refers to staff who simply described themselves as rangers, and did not mention a specialized role such as tracker, guide, or security personnel.

This repository contains park and neighborhood data for Pinnacles National Park in support of the NSF-funded project on Sustainability and Safety in the Pacific West Region National Parks.Internal park data include trail and roads within park boundary as well as yearly data on visitation and staffing for 2003-2013.Neighborhood data include census demographics, county crime, roads, parcel ownership, and land cover.Details provided in NPS PWR Crime Metadata.pdf.

Population genetics of bottlenose dolphins: Shark Bay Marine Park and Cockburn Sound waters, Warnbro Sound, Fremantle, Swan River & Kombana Bay / Leschenault Estuary. Population genetics of bottlenose dolphins: Shark Bay Marine Park and Cockburn Sound waters, Warnbro Sound, Fremantle, Swan River & Kombana Bay / Leschenault Estuary.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 08063 (National Park, NJ). Interactive charts load automatically as you scroll for improved performance.

This is a reference dataset containing the site locations, year established, and types of surveys.

Comprehensive demographic dataset for Sequoia National Park, Three Rivers, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Abstract: This rainforest tree demographic data package comprises recruitment and mortality census data for rainforest trees Davies Creek Plot in Dinden National Park (25 km south west of Cairns), Queensland for 2017. This plot consists of one 1.7 hectare plot in tropical rainforest, established in 1963. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years. The Davies Creek Plot was incorporated over an existing 0.4 ha plot established by the Queensland Department of Forestry in 1951 (Nicholson et al. 1988), so the central part of the Davies Creek Plot has records extending back more than a decade prior to 1963. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963.

A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network’s full program is provided at https://doi.org/10.25911/5c13444388e1b.

Sampling method: The Dinden National Park Plot is a 1.7 hectare plot. The plot was selected by Prof. Joseph H. Connell in 1963 on the advice of his CSIRO collaborators Dr Len Webb and Mr Geoff Tracey, and was chosen for three reasons; it was accessible, it was unlogged, and a smaller 0.4 ha plot belonging to the Queensland Department of Forestry had already been established there in 1951. This plot is one of two plots established by Connell in 1963 – the other is in subtropical rainforest near O’Reilly’s Guesthouse in Lamington National Park, 65 km south of Brisbane. The same sampling methods are employed at both plots, at intervals of 1-6 years.

Project abstract: This group conducts research in the rainforest investigating tree demographics.

Project funding: The National Science Foundation was the sole funder of this research between 1963 and 2003.

Between 2012 and 2018 this project was soley funded through the Long Term Ecological Research Network (LTERN) a facility within the Terrestrial Ecosystem Research Network (TERN) and supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.