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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Estes Park. The dataset can be utilized to gain insights into gender-based income distribution within the Estes Park population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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 dataset is a part of the main dataset for Estes Park median household income by race. You can refer the same here
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TwitterThis dataset depicts those areas of Rocky Mountain National Park that were designated as wilderness pursuant to Public Law 111-11, Title I, Subtitle N., dated March 30, 2009. This dataset also depicts the portion of Indian Peaks Wilderness that was transferred to Rocky Mountain National Park pursuant to Public Law 96-560, Title I, Sec. 111, dated December 22, 1980. This dataset was used to create the maps entitled: * 'Rocky Mountain National Park Wilderness', numbered 121-101,335A and dated Jan. 2010; * 'Rocky Mountain National Park East Shore Trail Alignment', numbered 121-101,337A and dated Jan. 2010. This dataset was used to create the maps within the document entitled: * 'Rocky Mountain National Park Wilderness Boundary Descriptions', numbered 121-101,336A, and dated Jan. 2010. Pursuant to Public Law No: 111-11, two maps and a detailed boundary description document were prepared for the Secretary of the Interior, for his inspection and approval, and for submission to the Committee of Energy and Natural Resources of the Senate and the Committee on Natural Resources of the House of Representatives. The finalized map and wilderness boundary descriptions were prepared 'as soon as practicable' after P.L. 111-11 was published. The detailed descriptions of the wilderness boundary underwent a thorough in-Park review to check for language consistency and clarity before being submitted to the Secretary. This finalized GIS dataset and the detailed descriptions of the wilderness boundary were made available as public domain data after being submitted to the Secretary and the aforementioned Congressional Committees in April 2010. This dataset depicts that approximately 95% of Rocky Mountain National Park has been designated as wilderness. The legislation stated that "approximately 249,339 acres of land in the Park, as generally depicted on the map" were designated as wilderness. After the final configuration of the East Shore Trail Alignment was established, this finalized dataset depicts 249,125 acres designated as wilderness in 2009. Rocky Mountain National Park Wilderness: 249,125 acres Existing Indian Peaks Wilderness within RMNP: 2,960 acres --------------------------- TOTAL Wilderness within RMNP: 252,085 acres Percent of RMNP that is Wilderness: 94.8% The official and legal TOTAL acreage figure for Rocky Mountain National Park is 265,828.41 acres. This has been determined by summing up all the legal descriptions of all the parcels that make up Rocky Mountain National Park. This figure varies slightly (less than one half of one percent) from the figure calculated for this data by the GIS software. Use the official acreage of 265,828.41 acres in any documents referencing the size of Rocky Mountain National Park.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Estes 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 Estes Park. The dataset can be utilized to understand the population distribution of Estes Park by age. For example, using this dataset, we can identify the largest age group in Estes Park.
Key observations
The largest age group in Estes Park, CO was for the group of age 70 to 74 years years with a population of 846 (14.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Estes Park, CO was the Under 5 years years with a population of 68 (1.16%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Estes Park Population by Age. You can refer the same here
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TwitterThe Geologic Units and Contacts of Rocky Mountain National Park and Vicinity, Colorado data (ROMOGLG) consists of area (polygon) geologic units and the contacts/map boundary that defines those areas (polygons). The data was completed as a component of the Geologic Resources Evaluation (GRE), a co-operative program between the Natural Resources Information Division (NRID) Inventory and Monitoring Program (IM) and the Geologic Resources Division (GRD) of the National Park Service (NPS). The spatial data (coverage/theme) and some attribution was produced from an AUTOCAD v. 14 drawing file (.DWG file; ROMO-UTM.DWG, NAD27, UTM Zone 13N). The data was converted to an ArcInfo coverage. The coverage/theme (ROMOGLG) was attributed as per the NPS GIS-Geology Data Model. An indexed ArcInfo .E00 (export) coverage file and an ArcView 3.X .SHP theme were then also created. The coverage/theme extent includes all of Rocky Mountain National Park, defined by the November, 1 2000 boundary, as well as adjacent land. The coverage/theme is in NAD83, UTM Zone 13N 'projection'.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Estes Park by race. It includes the population of Estes Park across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Estes Park across relevant racial categories.
Key observations
The percent distribution of Estes Park population by race (across all racial categories recognized by the U.S. Census Bureau): 90.41% are white, 0.39% are Black or African American, 0.41% are American Indian and Alaska Native, 2.84% are Asian, 0.70% are some other race and 5.26% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Estes Park Population by Race & Ethnicity. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Estes Park population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Estes Park. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 3,072 (52.01% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Estes Park Population by Age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Estes Park: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Estes Park median household income by age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Estes Park. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Estes Park. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2022
In terms of income distribution across age cohorts, in Estes Park, where there exist only two delineated age groups, the median household income is $78,745 for householders within the 45 to 64 years age group, compared to $64,937 for the 65 years and over age group.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Estes Park median household income by age. You can refer the same here
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TwitterThis dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
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TwitterThe files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. To produce the digital map, we used a combination of 2001 1:12,000-scale true color aerial photography, 2001 1:40,000-scale true color ortho-rectified imagery reproduced at 1:12,000-scale, and 3 years of ground-truthing to interpret the complex patterns of vegetation and landuse at ROMO. In the end, 46 map units were developed and directly cross-walked or matched to corresponding plant associations and land-use classes. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcInfo© software. Draft maps created from the vegetation classification were field-tested and revised before independent ecologists conducted an assessment of the map’s accuracy during 2004.
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TwitterThe Digital Geologic-GIS Map of Rocky Mountain National Park and Vicinity, Colorado is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (romo_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (romo_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (romo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (romo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (romo_geology_metadata_faq.pdf). Please read the romo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (romo_geology_metadata.txt or romo_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:50,000 and United States National Map Accuracy Standards features are within (horizontally) 25.4 meters or 83.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
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TwitterStarting in 2003, the U.S. Geological Survey (USGS) Northern Rocky Mountain Science Center in West Glacier, MT, in collaboration with the National Park Service, collected avalanche observations along the Going to the Sun Road during the spring road-clearing operations. The spring road-clearing along Going to the Sun Road utilized a team of avalanche specialists from the USGS and Glacier National Park to communicate the potential avalanche hazard to crews working to clear the road of snow in preparation for summer visitation. The operations typically begin around April 1st and continue through mid-June each year. The dataset includes all of the specific details collected for each avalanche occurrence and conforms to SWAG (American Avalanche Association, 2016. Snow, Weather and Avalanches: Observation Guidelines for Avalanche Programs in the United States (3rd ed). Victor, ID). The records should be viewed as estimates of avalanche characteristics due to the fact that many of the avalanches are too distant or are too dangerous to accurately assess.
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TwitterStream temperature data and streamflow data from headwater streams in the upper Snake River basin, Wyoming and upper Yellowstone River basin and Flathead River basin in Montana. These datasets were assembled to assess how stream temperature and streamflow in headwater streams deviates from downstream gages in order to better understand tools to estimate streamflow at a variety of temporal scales. The datasets range from 2011 through 2023 and were collected using standard stage-discharge relationships and commonly used sensors. Data were collected by the U.S. Geological Survey and/or affiliated field crews with support from the U.S. Geological Survey.
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TwitterRocky Mountain National Park, One Mile Buffer Along Roads - Public for Open DataNational Park Service Open DataIRMA Data Store Reference
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Estes Park. The dataset can be utilized to gain insights into gender-based income distribution within the Estes Park population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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.
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 dataset is a part of the main dataset for Estes Park median household income by race. You can refer the same here