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

This dataset details the proportion of the geographic range of 26,062 Australian plant species burnt in the 2019-2020 megafire; threatened listing status on state and Commonwealth threatened species legislation; species endemic status in each state/territory according to the Australian Plant Census; and risk ranking for exposure to high fire frequency (short intervals between fires) and cumulative impacts of fire (populations dominated by immature individuals). Further details are provided in the users should consult and cite the associated paper:

Gallagher, R.V., Allen, S., MacKenzie, B.D.E., Yates, C.D., Gosper C.R, Keith, D.A., 29 Merow, C., White, M., Wenk, E., Maitner, B.S., He, K., Adams, V.M. & Auld, T.D. (2021) High fire frequency and the impact of the 2019-2020 megafires on Australian plant diversity. Diversity & Distributions.

Usage Notes Species names were listed as accepted in the Australian Plant Census as of July 2020. Range data was sourced from three lines of evidence: (1) cleaned occurrence data (latitude-longitude point locations) associated with digitised herbarium specimens accessed from the Australasian Virtual Herbarium (https://avh.ala.org.au/) via the Atlas of Living Australia Application Programming Interface (https://api.ala.org.au/) in July 2020; (2) range mapping built from Poisson Point Process models, range bagging and area of occurrence (AOO) calculations; and (3) maps for Species of National Environmental Significance (SNES) for species listed on the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) available from the SPRAT database (http://www.environment.gov.au/cgi-bin/sprat/public/sprat.pl). Details of the building of range models are available in the paper associated with this dataset.

The spatial extent of the 2019-2020 fires was quantified using the National Indicative Aggregated Fire Extent Dataset (NIAFED; https://data.gov.au/dataset/ds-environment-9ACDCB09-0364-4FE8-9459-2A56C792C743/details?q=). Geographic ranges were intersected with the NIAFED dataset and proportion of burnt range is reported in the columns: "Proportion of range map burnt", "Proportion of SNES range map burnt (EPBC Act species only) ", and "Proportion of point locations burnt".

Exposure to high fire frequency and the cumulative fire risk rankings were created by intersecting ranges with fire history data for the last 5 years (non-woody species), 15 years (woody species) and 50 years (rainforest trees) and trait data on fire response. Species level data on growth form and fire response traits (resprouter, obligate seeder) were sourced from the AusTraits database (https://www.biorxiv.org/content/10.1101/2021.01.04.425314v1).

The annual spatial extent of fires between September-March between 1969-2018 was quantified by combining data from remote sensing and state agency fire history databases. Remotely sensed data on fire extent in each season between 2003 and 2016 was accessed from the Global Fire Atlas https://www.globalfiredata.org/fireatlas.html and – using the same methods – fire extent data was created for the 2017 and 2018 seasons using imagery from the MODIS product (MCD64A1). Alternate data on annual fire history were accessed under license from environment agency databases in three Australian states – New South Wales (NSW National Parks and Wildlife Service Fire History – Wildfire and Prescribed Burns dataset https://data.nsw.gov.au/data/dataset/1f694774-49d5-47b8-8dd0-77ca8376eb04), Western Australia (Western Australian Department of Biodiversity, Conservation and Attractions Fire History dataset (1969-2020)), and Victoria (Victorian Department of Environment, Land, Water and Planning Fire History dataset). Methods for assigning species ranks are provided in Gallagher (2020) https://www.environment.gov.au/system/files/pages/289205b6-83c5-480c-9a7d-3fdf3cde2f68/files/final-national-prioritisation-australian-plants-affected-2019-2020-bushfire-season.pdf

All correspondence about the dataset should be directed to rachael.gallagher@mq.edu.au. Additional data about fire impacts and threat interactions, as well as code for anlayses, are also available.