6 datasets found
  1. N

    Median Household Income by Racial Categories in Au Sable charter Township,...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2024). Median Household Income by Racial Categories in Au Sable charter Township, Michigan (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/34f0d45d-8904-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Michigan, Au Sable Township
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Au Sable charter township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Au Sable charter township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.09% of the total residents in Au Sable charter township. Notably, the median household income for White households is $46,614. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $46,614.

    https://i.neilsberg.com/ch/au-sable-charter-township-mi-median-household-income-by-race.jpeg" alt="Au Sable charter township median household income diversity across racial categories">

    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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Sable charter township.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    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 Au Sable charter township median household income by race. You can refer the same here

  2. g

    Sprightly Voyage SP 12/74 HYD Data | gimi9.com

    • gimi9.com
    Updated Jul 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Sprightly Voyage SP 12/74 HYD Data | gimi9.com [Dataset]. https://gimi9.com/dataset/au_sprightly-voyage-sp-12-74-hyd-data1/
    Explore at:
    Dataset updated
    Jul 2, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains the processed Hydrology or "Bottle Data" (HYD) data collected on Sprightly cruise SP 9/74. The cruise took place in Western Australia coastal waters and the Indian Ocean during April and May 1974. This dataset has been processed and is archived within the CSIRO Marine and Atmospheric Research Data Centre in Hobart.

  3. Indian Ocean Climate Initiative Stage 3 (IOCI3) - Very High Resolution...

    • data.csiro.au
    • researchdata.edu.au
    Updated Nov 6, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yun Li; Rex Lau; Rick Katz; Aloke Phatak (2012). Indian Ocean Climate Initiative Stage 3 (IOCI3) - Very High Resolution Modelling of Hot Spell Trends and Projections for South-West and North-West Western Australia [Dataset]. http://doi.org/10.4225/08/50984D9044DE2
    Explore at:
    Dataset updated
    Nov 6, 2012
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Yun Li; Rex Lau; Rick Katz; Aloke Phatak
    License

    https://creativecommons.org/publicdomain/mark/1.0/https://creativecommons.org/publicdomain/mark/1.0/

    Area covered
    Western Australia, Australia
    Dataset funded by
    Bureau of Meteorologyhttp://www.bom.gov.au/
    Western Australian State Government
    CSIROhttp://www.csiro.au/
    Description

    IOCI3, a climate research collaboration between CSIRO, the Bureau of Meteorology (BoM) and the Western Australian Government, produced maps of mean hot spell intensity, frequency and duration for the 1958-2010 period using estimates derived from statistical models. They also produced maps of trends in hot spell intensity, frequency and duration for this time period. In addition they provided maps of mean hot spell thresholds, intensity, frequency and duration for the 1981-2010 period using estimates derived from statistical models, and projections of these characteristics for the 2070-2099 period under the A2 greenhouse gas (GHG) emissions scenario (described in the IPCC Special Report on Emissions Scenarios [SRES]), as well as the difference between these two periods." Results are provided in the JPEG file format. Lineage: High quality station data as well as quarter-degree gridded (0.25°× 0.25° resolution) daily maximum temperature data from BoM Australian Water Availability Project (AWAP) were used to produce these results. Hot spell temperature thresholds were selected using statistical methods. Hot spell occurrence (frequency) was modelled by a Poisson process, hot spell intensity by a generalized Pareto distribution, and hot spell duration through a geometric distribution. The Generalized Linear Model framework was used to estimate the parameters in the model for hot spells. This method was applied to daily maximum temperature data simulated from the CSIRO Cubic Conformal Atmospheric Model (CCAM) for both the present-day and possible future climate under the SRES A2 GHG emissions scenario. The CCAM was nested in the CSIRO Mk3.0 Global Climate Model host for the SRES A2 scenario. Caveats & limitations: The hot spell projections should be seen as initial estimates only, and they should not be used for making impact, vulnerability and risk assessments. They were made using only one climate model (CCAM); more work using an ensemble of global and regional climate model results is required to provide more robust projections of hot spells in Western Australia.

    Extreme events are by definition rare, and analysis relies on partial (extreme) datasets (e.g., daily maximum temperatures higher 35 °C). In addition, estimating extremes necessitates extrapolating beyond such relatively small observed records. Consequently, the uncertainty associated with these projections of extremes is large, especially when extrapolating from a small dataset. To produce these projections we used AWAP data was used to overcome data shortages. However, the methods used to construct the AWAP dataset (interpolation) may smooth out some extreme values; this may lead to an underestimation of extremes in some cases. To these uncertainties are added the uncertainties inherent in the use of climate models.

  4. 印度 Number of Overseas Indian Students: Destination: Australia

    • ceicdata.com
    Updated Jan 22, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2019). 印度 Number of Overseas Indian Students: Destination: Australia [Dataset]. https://www.ceicdata.com/zh-hans/india/memo-items-major-destinations-of-overseas-indian-students
    Explore at:
    Dataset updated
    Jan 22, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    印度, 澳大利亚
    Variables measured
    Education Statistics
    Description

    Number of Overseas Indian Students: Destination: Australia在2014达25,562.000 人口,相较于2013的16,150.000 人口有所增长。Number of Overseas Indian Students: Destination: Australia数据按每年更新,1999至2014期间平均值为16,150.000 人口,共15份观测结果。该数据的历史最高值出现于2009,达26,573.000 人口,而历史最低值则出现于1999,为3,697.000 人口。CEIC提供的Number of Overseas Indian Students: Destination: Australia数据处于定期更新的状态,数据来源于United Nations Educational, Scientific and Cultural Organization,数据归类于India Premium Database的Education Sector – Table IN.EDE001: Memo Items: Major Destinations of Overseas Indian Students。

  5. IN2021_V04 Indian Ocean Territories Bathymetry 10m - 210m Multi-resolution...

    • data.csiro.au
    • researchdata.edu.au
    Updated Mar 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tim O'Hara; Phil Vandenbossche; Nelson Kuna; Cisco Navidad; Matt Boyd; Davina Gifford (2024). IN2021_V04 Indian Ocean Territories Bathymetry 10m - 210m Multi-resolution AusSeabed products [Dataset]. http://doi.org/10.25919/ttfs-pv76
    Explore at:
    Dataset updated
    Mar 4, 2024
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Tim O'Hara; Phil Vandenbossche; Nelson Kuna; Cisco Navidad; Matt Boyd; Davina Gifford
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 2021 - Jul 29, 2021
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    This layer group describes multibeam echosounder data collected on RV Investigator voyage IN2021_V04 titled "Biodiversity Assessment of Australia’s Indian Ocean Territories (IOT)". The voyage took place between June 30 and July 29, 2021, departing from Darwin (NT) and arriving in Hobart (TAS).

    The purpose of this voyage was to characterise benthic biodiversity from seamounts (100-3500 m) across the EEZ in Australia’s Indian Ocean Territories (IOT) for the first time.

    This dataset is published with the permission of CSIRO. Not to be used for navigational purposes.

    The dataset contains bathymetry grids of 10m to 210m resolution of the Indian Ocean Territories produced from the processed EM122 and EM710 bathymetry data. Lineage: Multibeam data was logged from the EM’s in Kongsberg’s proprietary *.all format and was converted to be processed within CARIS HIPS and SIPS version 11.3.8.

    Following the initial data conversion into the HIPS and SIPS format, the data was analysed for noise. No tide was applied, and the soundings were reduced to the EGM2008 model using logged ellipsoid referenced heights in the raw data files. Lines were georeferenced using the vessel file appropriate for either the EM122 or EM710.

    The data was then gridded at multiple resolutions in python Caris batch script using a Depth filter Vs Resolution guideline derived from AusSeabed Multibeam guidelines v2 and further inspected for outliers. Final raster products are available in L3 folder of this collection. Final processed data were also exported per line as GSF and ASCII format and available in the L2 folder of this collection.

  6. The Search for Flight MH370 - Phase 2 Raw and Processed Data

    • researchdata.edu.au
    Updated 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Commonwealth of Australia (Geoscience Australia) (2018). The Search for Flight MH370 - Phase 2 Raw and Processed Data [Dataset]. http://doi.org/10.4225/25/5B0CD2B84A2DC
    Explore at:
    Dataset updated
    2018
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Commonwealth of Australia (Geoscience Australia)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    http://creativecommons.org/licenses/http://creativecommons.org/licenses/

    Time period covered
    Sep 1, 2014 - Jan 31, 2017
    Area covered
    Description

    On behalf of Australia, and in support of the Malaysian accident investigation, the Australian Transport Safety Bureau (ATSB) led search operations for missing Malaysian Airlines flight MH370 in the Southern Indian Ocean. Geoscience Australia provided advice, expertise and support to the ATSB to facilitate marine surveys, which were undertaken to provide a detailed map of the sea floor topography to aid navigation during the underwater search. Prior to the Phase 1 bathymetric survey, very little was known about the sea floor in the MH370 search area, as few marine surveys have taken place in the area. Existing maps of the sea floor were coarse, having been derived from satellites and only providing a general indication of water depth. Before the underwater search for MH370 could begin, it was necessary to accurately map the sea floor to ensure that the search was undertaken safely and effectively. Survey vessels spent months at sea, scanning the sea floor with multibeam sonar and side scan sonar to gather detailed, high-resolution data.

    This collation of datasets contains the high resolution raw and processed data acquired during Phase 2 of the search for MH370 as received by third party operators. The Phase 2 underwater search data was acquired by multiple vessels, including the Fugro Equator, Fugro Supporter, Fugro Discovery, Havila Harmony, Dong Hai Jiu 101 and Go Phoenix. Surveys were conducted using towed and autonomous underwater vehicles between September 2014 to January 2017, collecting over 121,000 square kilometres of high resolution data in the search area.

    All material and data is subject to copyright. Please note the creative commons copyright notice and relating to the re-use of this material. Geoscience Australia's preference is that you attribute the datasets (and any material sourced from it) using the following wording: Source: Governments of Australia, Malaysia and the People's Republic of China, 2018. MH370 Phase 2 data - Raw and processed.

    We honour the memory of those who have lost their lives and acknowledge the enormous loss felt by their loved ones.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Neilsberg Research (2024). Median Household Income by Racial Categories in Au Sable charter Township, Michigan (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/34f0d45d-8904-11ee-9302-3860777c1fe6/

Median Household Income by Racial Categories in Au Sable charter Township, Michigan (2021, in 2022 inflation-adjusted dollars)

Explore at:
csv, jsonAvailable download formats
Dataset updated
Jan 3, 2024
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Michigan, Au Sable Township
Variables measured
Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents the median household income across different racial categories in Au Sable charter township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Au Sable charter township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.09% of the total residents in Au Sable charter township. Notably, the median household income for White households is $46,614. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $46,614.

https://i.neilsberg.com/ch/au-sable-charter-township-mi-median-household-income-by-race.jpeg" alt="Au Sable charter township median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Sable charter township.
  • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Au Sable charter township median household income by race. You can refer the same here

Search
Clear search
Close search
Google apps
Main menu