About this dataset

Context

This list ranks the 5 cities in the York County, SC by Cape Verdean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Cape Verdean Population: This column displays the rank of city in the York County, SC by their Cape Verdean population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Cape Verdean Population: The Cape Verdean population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Cape Verdean. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total York County Cape Verdean Population: This tells us how much of the entire York County, SC Cape Verdean population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 2 cities in the York County, NE by Cape Verdean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Cape Verdean Population: This column displays the rank of city in the York County, NE by their Cape Verdean population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Cape Verdean Population: The Cape Verdean population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Cape Verdean. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total York County Cape Verdean Population: This tells us how much of the entire York County, NE Cape Verdean population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 66 cities in the York County, PA by Cape Verdean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Cape Verdean Population: This column displays the rank of city in the York County, PA by their Cape Verdean population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Cape Verdean Population: The Cape Verdean population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Cape Verdean. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total York County Cape Verdean Population: This tells us how much of the entire York County, PA Cape Verdean population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

This project will map the genetic and phylogenetic diversity of northeast Queensland rainforest plants and fungi with a focus on the mountaintop species, which are regarded as among the most at risk from climate warming. The project consists of two nested subprojects. Project ¿a¿ (PD analysis) will provide a broad scale analysis of patterns of genetic diversity across the NE Qld rainforests. This study will investigate the relative performance of taxonomic richness and phylogenetic diversity measures for conservation priority setting in the Wet Tropics and Cape York rainforest contexts. We will use the results to identify and map areas of high biodiversity significance and investigate correlations with environmental and ecological variables. Preliminary results to date show that areas with higher PD than expected contain a higher proportion of immigrant plant lineages dispersed mostly from Southeast Asia within the past few million years. Our results demonstrate how the integration of historical data and PD can more effectively inform conservation priority setting particularly in biomes with complex evolutionary histories. Project ¿b¿ (mountain-top diversity) takes a finer scale look at population-level genetic diversity in one highly restricted rainforest ecosystem ¿ mountain-top rainforest ¿ projected to be most threatened by climate change. We will combine emerging genetic technologies with environmental, ecological and morphological information to: 1) elucidate the location and relative importance of high altitude refugia for plants in the Wet Tropics and Cape York Peninsula Bioregions and the mechanisms that influence the survival of populations and species; and 2) document the fungal biodiversity of the mountain tops.

About this dataset

Context

This list ranks the 28 cities in the York County, ME by Cape Verdean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Cape Verdean Population: This column displays the rank of city in the York County, ME by their Cape Verdean population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Cape Verdean Population: The Cape Verdean population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Cape Verdean. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total York County Cape Verdean Population: This tells us how much of the entire York County, ME Cape Verdean population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

This collection contains the bathymetry survey (SurveyID SOL788) acquired by the Australian Institute of Marine Science onboard the Research Vessel Solander from the 10th to the 20th of November, 2022, using the AIMS R2Sonic 2026 Multibeam sonar system.


The objectives of the West Cape York Marine Park cruise were to:



conduct bathymetry mapping, fish population and benthic community surveys in the vicinity of Carpentaria and Merkara shoals and the pockmark features to explore fish and benthic fauna diversity in these areas;

determine the seafloor composition based on bathymetric data within the West Cape York Marine Park, including the Merkara Shoal;

map sedimentary patterns and processes to build an understanding of the pockmark features to the east of Carpentaria Shoal.

A study of the population genetics of squid of the genus Loligo was carried out at 9 northern Australian locations. Variations in gene frequencies of allozymes and common proteins were used to estimate connectivity and dispersal between populations, and to determine the phylogeny of the genus (discrete species identities). Two previously described species (Photololigo chinensis, P. edulis) were discovered to actually be four species.Sampling locations were: Northwest Shelf, Timor Sea, Arafura Sea, Gulf of Carpentaria, Torres Strait, Cape York, Princess Charlotte Bay, Townsville, Brisbane. Sample sizes for the locations ranged between 19 and 447 individuals. Species identified were: Photololigo chinensis, sp.1, sp.2, sp.3.Following preliminary scoring for 76 enzymes, 9 enzymes were selected for routine scoring of genotypes: ACON, AK, ENOL, IDH, MDH-3, MPI, PGDH, PGM, G3PDH.
To estimate connectivity and dispersal between populations, and to determine the phylogeny of discrete species.

The current rate of decline in the globally significant western Pacific hawksbill turtle nesting population on Milman Island on the northern Great Barrier Reef (neQLD) suggests that it could be functionally extinct within a decade. Yet a poor understanding of the relative importance and spatial distribution of threats to this population has been a major impediment to recovery actions. For the first time, we assess all threats to the neQLD stock using a combination of a post-hatchling dispersal model, new satellite tracking of post-nesting migrations and a comprehensive review of existing data. We overlay migration routes and foraging areas from the satellite tracking data with spatially referenced threat layers to analyse threat exposure. We found all tracked hawksbills remained in Australian waters, with migration to foraging areas in Queensland including western Cape York to western Torres Strait (n = 8), and eastern Cape York to eastern Torres Strait (n = 5). These results underscore the critical importance of foraging habitats in Queensland (particularly western Queensland) to the Millman Island nesting population. In contrast, the Lagrangian post-hatchling dispersal model predicted a concentration of turtles in the Torres Strait to Gulf of Papua region, with most final positions in Australian waters (63%), followed by Papua New Guinea (31%), Solomon Islands (3%), Indonesia (2%), Vanuatu (0.49%), New Caledonia (1%). Even though 37% of post-hatchling turtles were predicted to recruit to foraging areas outside of the Australian Exclusive Economic Zone (EEZ), none of the 25 turtles tracked left the Australian EEZ (13 in this study and 12 previously). This suggests that survival to breeding is low for turtles outside of the Australian EEZ, but other explanations are discussed. No single pervasive threat was identified in the threat risk assessment however, fisheries (bycatch/ghost gear) interactions, direct harvesting and climate change were considered to have the potential to impede recovery or result in further decline in the population. Fisheries and harvesting should be the priorities for immediate management actions. The lack of spatial protection in foraging habitats in western Queensland was identified as a major policy gap requiring immediate attention if this population’s trajectory is to be reversed and remain one of western Pacific’s strongholds.

This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Curcuma australasica, commonly known as Cape York Lily. Other information about this group:

The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

The identification of species in Curcuma australasica as Australian dwelling organisms has been achieved by accessing the Australian Plant Census (APC) or Australian Faunal Directory (AFD) through the Atlas of Living Australia.

The Cashless Debit Card (CDC) program has ended in all locations across Australia, and all CDC participants have now exited the program or transferred to enhanced Income Management. Data summaries for the CDC program by month include the below tables:

Table 1. Number of CDC participants by original CDC location, Income Support Payment and if a participant had identified as an Indigenous Australian.

Table 2. Community panel (or body) decisions to change the restricted portion of welfare payment.

Table 3. When someone was not subject to cashless welfare arrangements: Well-being exemptions.

Table 4. When someone was not subject to cashless welfare arrangements: Exits.

Information about the CDC:

On 6 March 2023, CDC participants located in the Northern Territory, Cape York and Doomadgee region, as well as volunteers from the Ceduna, East Kimberley, Goldfields, Bundaberg and Hervey Bay regions, moved to enhanced Income Management. More information about enhanced Income Management is located on the Department of Social Services (the department) web site: https://www.dss.gov.au/families-and-children/programmes-services/welfare-conditionality/enhanced-income-management-overview

The CDC program was repealed on 30 March 2023, by the Social Security (Administration) Amendment (Repeal of Cashless Debit Card and Other Measures) Act 2022, which is located here: https://www.legislation.gov.au/Details/C2022A00039.

Locations and commencement dates:

Location: Ceduna region, South Australia

Commencement date: 15 March 2016

Included: Ceduna, Koonibba, Scotdesco, Yalata and Oak Valley

Cohort: All people on a working age income support payment

Location: East Kimberley region, Western Australia

Commencement date: 26 April 2016

Included: Kununurra and Wyndham

Cohort: All people on a working age income support payment

Location: Goldfields region, Western Australia

Commencement date: 26 March 2018

Included: Kalgoorlie, Boulder, Coolgardie, Laverton, Leinster, Leonora, Menzies and Kookynie.

Cohort: All people on a working age income support payment

Location: Bundaberg and Hervey Bay region, Queensland

Commencement date: 21 September 2018

Included: Bundaberg, Hervey Bay, Aldershot, Bargara, Elliott Heads, Woodgate, Booyal, Burrum Heads, Torbanlea, Toogoom, Howard, Childers, Burnett Heads and River Heads.

Cohort: All people aged 35 years and under who received Newstart Allowance, Youth Allowance (Job seeker), Parenting Payment (Single) or Parenting Payment (Partnered).

Data Confidentialisation Policy: Table cells are suppressed where the count refers to less than five, but more than zero, people.

The method is:

• Cells with counts between one (1) and four (4) are presented as <5.

• Cells with a count of zero (0) are not suppressed.

• Where suppression has been applied and it is still possible to derive the cell value from other information in the table, the total/s or the next lowest aggregate cells are suppressed and presented with ‘n.p.’ (not provided).

Data caveats: If a person was on the CDC program and moved out of a CDC area, they remained on the program and were reported against their original CDC community.