This data file is in long format, comprising time series of hunter abundance and behavior and duck abundance. Hunter information varies by administrative flyway (Mississippi and Central), whereas duck population abundance is summarized for both the Prairie Pothole Region and the continent. Duck information for the Prairie Pothole Region is for the U.S. portion only (Strata 41-49 of the May waterfowl survey) and for 12 duck species, mallard, American wigeon, blue-winged teal, canvasback, gadwall, lesser and greater scaup, green-winged teal, northern pintail, northern shoveler, redhead, ring-necked duck, and ruddy duck.

About this dataset

Context

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

Key observations

The largest age group in Hunters Hollow, KY was for the group of age 10 to 14 years years with a population of 43 (12.25%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Hunters Hollow, KY was the 80 to 84 years years with a population of 0 (0%). 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 Hunters Hollow is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Hunters Hollow 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 Hunters Hollow Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Hunters Hollow: 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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 4(3.10%) households where the householder is under 25 years old, 61(47.29%) households with a householder aged between 25 and 44 years, 43(33.33%) households with a householder aged between 45 and 64 years, and 21(16.28%) households where the householder is over 65 years old.
• In Hunters Hollow, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Hunters Hollow median household income by age. You can refer the same here

Mapped hunt boundary is an approximation of regulations using best available data as of September 2015. Hunters are responsible for knowing the exact current boundary locations as described within the California Code of Regulations, Title 14, Section 485(d):(d) Crows may not be taken in the following areas:(1) Within the boundaries of the Trinity and Mendocino National Forests south of Highway 36.(2) North and east of a line beginning at the mouth of the Eel River; south along the Eel River to the town of Alton; east on Highway 36 from the town of Alton to Highway 89 west of Chester; south and east on Highways 89 and 395 to Interstate 15 near Hesperia; south on Interstate 15 to Interstate 10; and east on Interstate 10 to the California-Arizona border.

Hunter harvest data are important components of game species management and conservation, and natural resource agencies often use self-reporting mechanisms to collect harvest data. Despite the advantages of self-reporting systems, hunter noncompliance with mandatory reporting remains a challenge for managers. Our objective was to utilize the Theory of planned behavior (TPB) and concepts of organizational trust to understand factors influencing hunter compliance and satisfaction with mandatory harvest reporting. We distributed questionnaires through email channels and postcards mailed to resident deer hunters in Georgia, USA. Structural equation model results from the 1,712 survey responses suggest that TPB constructs (attitudes, perceived behavioral control, social norms), organizational trust, and satisfaction with hunting experience positively influenced satisfaction with mandatory reporting. In contrast, the number of years an individual has been hunting negatively influences satisfa..., , , # Drivers of Hunter Compliance and Satisfaction with Mandatory Harvest Reporting

https://doi.org/10.5061/dryad.wm37pvmxx

Description of the data and file structure

We conducted a quantitative, wed-based survey to assess perceptions of white-tailed deer management and harvest reporting from resident deer hunters in Georgia, USA. We distributed the survey to a proportionate random sample of 19,000 resident deer hunters.

Files and variables

File: Data.csv

Description: This file contains responses from the 1,712 survey participants who provided valid responses to the survey. The variables in the dataset coincide with the questions on the survey in chronological order (Supplemental Material: Survey.pdf). Some respondents did not answer all questions on the survey. In these cases, missing responses are indicated by blanks in the dataset. We removed several indirect identifiers (i.e., residents’ demographics) of respondents per Dr...

This report is based on three years of research during which the author conducted a pair of studies on American attitudes and perceptions of animals. More than any other single subject, views for and against hunting provided a kind of barometer for assessing people’s much broader understanding of the natural world. Most of the material presented in this report is based on data collected over these three years. The first study -- involving personally conducted, in-depth largely unconstructed interviews -- provided much of the first-person accounts and was mainly descriptive. The second study involved a national investigation in which over 550 randomly selected Americans were personally interviewed to complete a highly-structured close-ended, 45-minute questionnaire. The information collected in this latter investigation provides most of the statistical data that will be presented.

About this dataset

Context

The dataset tabulates the population of Hunters Hollow by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Hunters Hollow across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 54.7% of total population being male. 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.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Hunters Hollow is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Hunters Hollow 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 Hunters Hollow Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Hunters Hollow, KY population pyramid, which represents the Hunters Hollow 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 Hunters Hollow, KY, is 26.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Hunters Hollow, KY, is 14.5.
• Total dependency ratio for Hunters Hollow, KY is 41.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Hunters Hollow, KY is 6.9.

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

The Digital Surficial Geologic-GIS Map of the Hunters 15' Quadrangle, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (htrs_surficial_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (htrs_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (htrs_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 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 (laro_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (laro_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 (htrs_surficial_geology_metadata_faq.pdf). Please read the laro_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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. Bureau of Reclamation. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (htrs_surficial_geology_metadata.txt or htrs_surficial_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 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 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 ArcGIS, 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).

About this dataset

Context

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

Key observations

The largest age group in Hunters Creek Village, TX was for the group of age 55 to 59 years years with a population of 474 (10.81%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Hunters Creek Village, TX was the 85 years and over years with a population of 46 (1.05%). 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 Hunters Creek Village is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Hunters Creek Village 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 Hunters Creek Village Population by Age. You can refer the same here

Hunters often target species that require resource investment disproportionate to associated nutritional rewards. Costly signalling theory provides a potential explanation, proposing that hunters target species that impose high costs (e.g. higher failure and injury risks, lower consumptive returns) because it signals an ability to absorb costly behaviour. If costly signalling is relevant to contemporary 'big game' hunters, we would expect hunters to pay higher prices to hunt taxa with higher perceived costs. Accordingly, we hypothesized that hunt prices would be higher for taxa that are larger-bodied, rarer, carnivorous, or described as dangerous or difficult to hunt. In a data set on 721 guided hunts for fifteen North American large mammals, prices listed online increased with body size in carnivores (from approximately $550 to $1800 USD/day across the observed range). This pattern suggests that elements of costly signals may persist among contemporary non-subsistence hunters. Persistence might simply relate to deception, given that signal honesty and fitness benefits are unlikely in such different conditions compared with ancestral environments in which hunting behaviour evolved. If larger-bodied carnivores are generally more desirable to hunters, then conservation and management strategies should consider not only the ecology of the hunted but also the motivations of hunters.

About this dataset

Context

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

Key observations

The percent distribution of Hunters Hollow population by race (across all racial categories recognized by the U.S. Census Bureau): 82.91% are white, 1.14% are Black or African American, 2.28% are some other race and 13.68% are multiracial.

Content

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:

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

This dataset provides daily and annual air temperature, river water level, and leaf drop dates coincident with the moose (Alces alces) hunting season (September) for the area surrounding the rural communities of Nulato, Koyukuk, Kaltag, Galena, Ruby, Huslia, and Hughes in interior Alaska, USA, over the period 2000-2016. The main objective of the study was to assess how the environmental conditions impacted the success of hunters who rely on moose as a subsistence resource.

Snapshot img

Hunting Apparel Market Size 2025-2029

The hunting apparel market size is forecast to increase by USD 265.8 million at a CAGR of 3.5% between 2024 and 2029.

The market is experiencing significant growth, driven by key trends such as product innovation and product line extension, which contribute to the premiumization of hunting gear. These advancements cater to the increasing demand for smart clothing. 
Additionally, the growing number of hunting license holders fuels market expansion. Specialty hunting stores cater to this market, offering a diverse selection of jackets, pants, and other apparel designed for specific hunting seasons and climates, with the added convenience of e-commerce that allows customers to browse and purchase gear online from anywhere However, regulations on hunting and hunting bans in certain regions pose challenges to market growth. 
Adherence to these regulations is crucial for market players to maintain their market position and ensure ethical and sustainable hunting practices. The market is expected to continue its growth trajectory, with a focus on providing functional, comfortable, and stylish clothing for hunters.

What will be the Size of the Hunting Apparel Market During the Forecast Period?

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The market encompasses a wide range of clothing designed for hunters to blend into their natural environment while ensuring protection and comfort. Key product categories include camouflaged jackets, pants, gloves, and other accessories. Camouflage patterns, derived from foliage and climate, are essential for concealment. Hunters prioritize durability, weather resistance, and quiet fabrics to withstand various conditions. Insulation, moisture-wicking fabrics, and scent control technologies are crucial for maintaining body temperature and minimizing detection by game animals. Ethically sourced materials and recycled fabrics are gaining popularity among environmentally-conscious hunters. Layering systems enable hunters to adapt to changing temperatures and moisture levels during their hunt.

How is the Hunting Apparel Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Offline
  Online


Type

  Top wear
  Bottom wear
  Footwear
  Others


End-user

  Men
  Women


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy
    Spain


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period. The market experienced significant growth in 2024, with specialty stores accounting for the largest market share in offline distribution. The popularity of hunting apparel and accessories has led to an increase in the number of specialty retail stores. These stores offer a wide selection of brands and product portfolios, setting them apart from department stores. Companies are investing in marketing, advertising, promotions, brand building, training, and IT support to differentiate themselves. Exclusive designer collections and private-label brands provide a competitive edge. Hunters prioritize functionality, durability, and weather resistance in their apparel choices, including jackets, pants, gloves, and moisture-wicking fabrics.
Camouflage patterns, scent control technologies, and layering systems cater to varying temperatures, moisture levels, and hunting conditions. Consumer preferences for ethically sourced and recycled materials, as well as compliance with regulations, are also influencing market trends. Online platforms and retail networks expand hunting apparel accessibility, with a global presence and brand recognition driving consumer trust and loyalty.

Get a glance at the market report of share of various segments Request Free Sample

The Offline segment was valued at USD 948.00 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The North American market is dominated by the United States and Canada, driven by the large hunter population in these countries. Trophy hunting, a recreational activity, is popular among North American hunters, leading them to travel to destinations such as Canada, Mexico, and Africa.

For more insights on the market size of various regions, Request Free Sample

Hunting apparel is essential for hunters to bl

Worldwide, migratory phenology and movement of many bird species are shifting in response to anthropogenic climate and habitat changes. However, due to variation among species and a shortage of analyses, changes in waterfowl migration, particularly in the fall, are not well understood. Fall migration phenology and movement patterns dictate waterfowl hunting success and satisfaction, with cascading implications on economies and support for habitat management and securement. Using 60 years of band recovery data for waterfowl banded in the Canadian Prairie Pothole Region (PPR), we evaluated whether fall migration timing and/or distribution changed in Mallard (Anas platyrhynchos), Northern Pintail (A. acuta), and Blue-winged Teal (Spatula discors) between 1960 and 2019. We found that in the Midcontinent Flyways, Mallards and Blue-winged Teal migrated faster in more recent time periods, while Northern Pintail began fall migration earlier. In the Pacific Flyway, Mallards began fall migration earlier. Both Mallards and Northern Pintails showed evidence of short-stopping in the Midcontinent Flyways. Indeed, the Mallard and Northern Pintail distribution of band recovery data shifted 180 km and 226 km north respectively from 1960 to 2019. Conversely, Blue-winged Teal recovery distributions were consistent across years. Mallards and Northern Pintails also exhibited an increased proportion of band recoveries in the Pacific Flyway in recent decades. We provide clear evidence that the timing and routes of fall migration have shifted over the past six decades, but these phenological and spatial shifts differ among species. We suggest that using community-science data collected by hunters themselves to explain one of the group's major concerns (changes in duck abundance at traditional hunting grounds), within the environmental lens of climate change, may help lead to further engagement and two-way dialogue to support effective waterfowl management for these culturally and ecologically important species.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

About this dataset

Context

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

Key observations

The percent distribution of Hunters Creek Village population by race (across all racial categories recognized by the U.S. Census Bureau): 92.31% are white, 0.11% are American Indian and Alaska Native, 2.77% are Asian, 2.09% are some other race and 2.71% are multiracial.

https://i.neilsberg.com/ch/hunters-creek-village-tx-population-by-race.jpeg" alt="Hunters Creek Village 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 Hunters Creek Village
• Population: The population of the racial category (excluding ethnicity) in the Hunters Creek Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Hunters Creek Village 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 Hunters Creek Village Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Hunters Creek Village. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Hunters Creek Village, the median income for all workers aged 15 years and older, regardless of work hours, was $250,001 for males and $65,273 for females.

These income figures highlight a substantial gender-based income gap in Hunters Creek Village. Women, regardless of work hours, earn 26 cents for each dollar earned by men. This significant gender pay gap, approximately 74%, underscores concerning gender-based income inequality in the city of Hunters Creek Village.

- Full-time workers, aged 15 years and older: In Hunters Creek Village, among full-time, year-round workers aged 15 years and older, males earned a median income of $250,001, while females earned $228,021, resulting in a 9% gender pay gap among full-time workers. This illustrates that women earn 91 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Hunters Creek Village.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Hunters Creek Village.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Hunters Creek Village median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Hunters Creek Village. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Hunters Creek Village. 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 2023

In terms of income distribution across age cohorts, in Hunters Creek Village, the median household income stands at $250,001 for householders within the 25 to 44 years age group, followed by $250,001 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $250,001.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Hunters Creek Village median household income by age. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Hunters Creek Village, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Hunters Creek Village did not include 6, or 7-person households. Across the different household sizes in Hunters Creek Village the mean income is $270,229, and the standard deviation is $0. The coefficient of variation (CV) is 0%. This low CV indicates low relative variability, suggesting that the incomes are relatively consistent across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of Hunters Creek Village, there were 5 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $270,229. It then further remained the same for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/hunters-creek-village-tx-median-household-income-by-household-size.jpeg" alt="Hunters Creek Village, TX median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Hunters Creek Village median household income. You can refer the same here