About this dataset

Context

The dataset tabulates the population of Oregon County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oregon County. The dataset can be utilized to understand the population distribution of Oregon County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oregon County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oregon County.

Key observations

Largest age group (population): Male # 55-59 years (416) | Female # 55-59 years (343). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Oregon County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oregon County is shown in the following column.
• Population (Female): The female population in the Oregon County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oregon County for each 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 Oregon County Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Oregon County, MO was for the group of age 55 to 59 years years with a population of 759 (8.72%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Oregon County, MO was the 85 years and over years with a population of 217 (2.49%). 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 Oregon County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Oregon County 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 Oregon County Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of female population, with 53.65% of total population being female. 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 Oregon is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Oregon 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 Oregon Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Oregon town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oregon town. The dataset can be utilized to understand the population distribution of Oregon town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oregon town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oregon town.

Key observations

Largest age group (population): Male # 50-54 years (213) | Female # 55-59 years (173). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Oregon town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oregon town is shown in the following column.
• Population (Female): The female population in the Oregon town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oregon town for each 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 Oregon town Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Oregon, WI population pyramid, which represents the Oregon 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 Oregon, WI, is 31.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Oregon, WI, is 18.4.
• Total dependency ratio for Oregon, WI is 49.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Oregon, WI is 5.4.

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

About this dataset

Context

The dataset tabulates the data for the Oregon, OH population pyramid, which represents the Oregon population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Oregon, OH, is 22.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Oregon, OH, is 33.5.
• Total dependency ratio for Oregon, OH is 56.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Oregon, OH is 3.0.

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

About this dataset

Context

The dataset tabulates the data for the Oregon Township, Michigan population pyramid, which represents the Oregon township 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 Oregon Township, Michigan, is 24.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Oregon Township, Michigan, is 38.9.
• Total dependency ratio for Oregon Township, Michigan is 63.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Oregon Township, Michigan is 2.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

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

About this dataset

Context

The dataset tabulates the population of Oregon township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oregon township. The dataset can be utilized to understand the population distribution of Oregon township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oregon township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oregon township.

Key observations

Largest age group (population): Male # 20-24 years (304) | Female # 65-69 years (405). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Oregon township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oregon township is shown in the following column.
• Population (Female): The female population in the Oregon township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oregon township for each 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 Oregon township Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Corvallis, OR population pyramid, which represents the Corvallis 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 Corvallis, OR, is 15.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Corvallis, OR, is 18.5.
• Total dependency ratio for Corvallis, OR is 33.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Corvallis, OR is 5.4.

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

About this dataset

Context

The dataset tabulates the population of Oregon by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oregon. The dataset can be utilized to understand the population distribution of Oregon by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oregon. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oregon.

Key observations

Largest age group (population): Male # 45-49 years (65) | Female # 85+ years (53). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Oregon population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Oregon is shown in the following column.
• Population (Female): The female population in the Oregon is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oregon for each 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 Oregon Population by Gender. You can refer the same here

Predators observed at reefs near Lee Stocking Island, Bahamas from 2009-2012. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson acquisition_description=Using the same methods as Webster (2003), the investigators artificially enhanced basslet recruitment by capturing new settlers (<2 cm total length) with dip nets and transferring them to new populations far from their natal reefs. Censuses commenced 24 hours after recruit manipulationsand continued weekly for two months. At the end of the eight week study period, the investigators calculated net per capita loss (the proportional change in abundance from the beginning to the end of the experiment) for each population. awards_0_award_nid=55160 awards_0_award_number=OCE-0851162 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0851162 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 cdm_data_type=Other comment=Predators observed at Lee Stocking Island, Bahamas (From sub-project "Lionfish effects on fairy basslet population dynamics") Lead PI: Mark Hixon (OSU) Sub-Project Lead: Kurt Ingeman (OSU) Version: 29 April 2013 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.3929.1 Easternmost_Easting=-76.10725 geospatial_lat_max=23.80456 geospatial_lat_min=23.80456 geospatial_lat_units=degrees_north geospatial_lon_max=-76.10725 geospatial_lon_min=-76.1362 geospatial_lon_units=degrees_east infoUrl=https://www.bco-dmo.org/dataset/3929 institution=BCO-DMO metadata_source=https://www.bco-dmo.org/api/dataset/3929 Northernmost_Northing=23.80456 param_mapping={'3929': {'lat': 'master - latitude', 'lon': 'master - longitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/3929/parameters people_0_affiliation=Oregon State University people_0_affiliation_acronym=OSU people_0_person_name=Mark Hixon people_0_person_nid=51647 people_0_role=Lead Principal Investigator people_0_role_type=originator people_1_affiliation=Oregon State University people_1_affiliation_acronym=OSU people_1_person_name=Kurt Ingeman people_1_person_nid=51667 people_1_role=Scientist people_1_role_type=originator people_2_affiliation=Woods Hole Oceanographic Institution people_2_affiliation_acronym=WHOI BCO-DMO people_2_person_name=Shannon Rauch people_2_person_nid=51498 people_2_role=BCO-DMO Data Manager people_2_role_type=related project=Lionfish Invasion projects_0_acronym=Lionfish Invasion projects_0_description=Invasive species are increasingly introduced by human activities to new regions of the world where those species have never existed previously. In the absence of natural enemies (predators, competitors, and diseases) from their homeland, invasives may have strong negative effects on invaded ecosystems, especially systems with fewer species ("ecological release"), and may even drive native species extinct. However, if native natural enemies can somehow control the invaders ("ecological resistance"), then ecological disruption can be prevented or at least moderated. Most of the many invasive species in the sea have been seaweeds and invertebrates, and the few documented invasive marine fishes have not caused major problems. However, this situation has recently changed in a stunning and ominous way. In the early 1990s, lionfish (Pterois volitans) from the Pacific Ocean were accidentally or intentionally released from aquaria to the ocean in the vicinity of Florida. Camouflaged by shape and color, protected by venomous spines, consuming native coral-reef fishes voraciously, and reproducing rapidly, lionfish have subsequently undergone a population explosion. They now range from the mid-Atlantic coast of the US to the Caribbean, including the Bahamas. Native Atlantic fishes have never before encountered this spiny, stealthy, efficient predator and seldom take evasive action. In fact, the investigator has documented that a single lionfish is capable of reducing the abundance of small fish on a small coral patch reef by nearly 80% in just 5 weeks. There is great concern that invasive lionfish may severely reduce the abundance of native coral-reef fishes important as food for humans (e.g., grouper and snapper in their juvenile stages) as well as species that normally maintain the integrity of coral reefs (e.g., grazing parrotfishes that can prevent seaweeds from smothering corals). There are far more species of coral-reef fish in the Pacific than the Atlantic, so this invasion may represent a case of extreme ecological release with minor ecological resistance. Dr. Hixon and colleagues will study the mechanisms of ecological release in lionfish, as well as examine potential sources of ecological resistance in the heavily invaded Bahamas. Because very little is known about the ecology and behavior of lionfish in their native Pacific range, he will also conduct comparative studies in both oceans, which may provide clues regarding the extreme success of this invasion. In the Bahamas, the investigator will document the direct and indirect effects on native species of the ecological release of lionfish, both as a predator and as a competitor. These studies will be conducted at various scales of time and space, from short-term experiments on small patch reefs, to long-term experiments and observations on large reefs. Whereas direct effects involve mostly changes in the abundance of native species, indirect effects can be highly variable. For example, lionfish may actually indirectly benefit some native species by either consuming or outcompeting the competitors of those natives. The project will explore possible ecological resistance to the invasion by determining whether any native Bahamian species are effective natural enemies of lionfish, including predators, parasites, and competitors of both juvenile and adult lionfish. Comparative studies of natural enemies, as well as lionfish ecology and behavior, in both the Atlantic and the Pacific may provide clues regarding the explosive spread of lionfish in the Atlantic. Regarding broader impacts, this basic research will provide information valuable to coral-reef and fisheries managers fighting the lionfish invasion in the US, the Bahamas, and the greater Caribbean, especially if sources of native ecological resistance are identified. The study will fund the PhD research of U.S. graduate students, as well as involve assistance and participation by a broad variety of undergraduates and reef/fisheries managers, including women, minorities, native Bahamians, and native Pacific islanders. Participation in this project will promote education in marine ecology and conservation biology directly via Dr. Hixon's and graduate students' teaching and outreach activities, and indirectly via the experiences of undergraduate field assistants and various associates. projects_0_end_date=2012-11 projects_0_geolocation=Bahamas; Cayman Islands; Mariana Islands; Philippines projects_0_name=Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish projects_0_project_nid=2256 projects_0_project_website=http://hixon.science.oregonstate.edu/content/highlight-lionfish-invasion projects_0_start_date=2009-06 sourceUrl=(local files) Southernmost_Northing=23.80456 standard_name_vocabulary=CF Standard Name Table v55 subsetVariables=site,lat_site,lon_site,latitude version=1 Westernmost_Easting=-76.1362 xml_source=osprey2erddap.update_xml() v1.3

Oregon’s Agricultural Water Quality Management Act (Act) was passed in 1993, with the input and support of the agricultural industry and the Oregon Board of Agriculture, to help farmers and ranchers address water pollution.This legislation is the foundation of the Oregon Department of Agriculture’s (ODA) Agricultural Water Quality Management Program(Program). The Act directed ODA to assist the industry in preventing and controlling pollution from agricultural sources. Working in partnership with Oregon’s 45 local Soil and Water Conservation Districts (SWCDs), ODA identified 38 watershed-based Agricultural Water Quality Management Areas(Management Areas) throughout the state. ODA Water Quality Specialists work with farmers, ranchers, community leaders, and other stakeholders who serve as Local Advisory Committee (LAC) members for each Management Area. Each LAC identifies local agricultural water quality problems and opportunities for improvement. The 38 resulting Agricultural Water Quality Management Area Plans (Area Plans) address agricultural water quality issues in Oregon. As the LACs helped create the plans, they also helped write Area Rules (regulations) for that Management Area. The regulations ensure that all landowners do their part to prevent and control water pollution. The Program is designed to help anyone engaged in agricultural activities prevent water pollution.