Data Notes:

• 'SA4 grouping’ and ‘remoteness’ describe areas within NSW. Both are ABS standard categories. SA4 group relates to a predefined geographical area, based on population and labour markets, whereas remoteness is based on density of population.

• From 2016 onwards, geographical data is reported by the ABS remoteness structure. The ABS remoteness structure uses 5 categories: Major Cities, Inner Regional, Outer Regional, Remote and Very Remote. Prior to 2016, MCEECDYA categories were used, which divided schools into four categories.

• Since 2014, the department has used a geographical structure based on the new ABS Australian Statistical Geography Standard (ASGS). Groups of ASGS Statistical Area 4 (SA4) boundaries in NSW have been combined into 11 groups for reporting and publication of department data. Previous publications compared enrolments in DEC regions. Further information on SA4 groups is available in the Statistical Bulletin Explanatory Notes.

Data Source:

• Schools and Students: Statistical Bulletin. Centre for Education Statistics and Evaluation.

Remoteness Areas divide Australia into five classes of remoteness on the basis of a measure of relative access to services. The five remoteness classes are: Major Cities, Inner Regional, Outer Regional, Remote and Very Remote. Remoteness Areas are derived from the Accessibility/Remoteness Index of Australia Plus (ARIA+) produced by the University of Adelaide.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Defining Remoteness AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 2 - Remoteness StructuresSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.

According to a survey conducted in Australia in the year ended June 2018, around 38.4 percent of respondents in inner regional areas stated they had access to one or more supermarkets within 1500 meters. This share was lower than for people living in urban areas of the country.

According to a survey conducted in Australia in the year ended June 2018, around 21 percent of respondents in inner regional areas stated they had access to one or more fast food outlets within 1,500 meters. This share was lower than for people living in urban areas of the country.

Differences and similarities between ARIA+ and Cardiac ARIA index methods.

This file provides data on Regular Public Transport (RPT) Domestic Aviation Activity in Australia by sector type. Each sector is classified using the ABS Australian Statistical Geography Standard (ASGS) 2016 based on location of the airport pair. ‘Major Cities’ covers sectors between two airports located in Major Cities, ‘Regional’ covers sectors where at least one airport is in an Inner Regional or Outer Regional area, but no airports are in Remote or Very remote areas and ‘Remote’ covers sectors where at least one airport is in a Remote or Very Remote location. Data are provided for Flights, Passenger trips, Seats, Revenue Passenger Kilometres (RPKs), Available Seat Kilometres (ASKs), Distance flown, Load factors (RPKs/ASKs), Distance per flight, Seats per flight, Number of operators and Number of sectors.

Red shading indicates good aftercare cardiac services relative to the ARIA+ category. Blue shading indicates poor aftercare cardiac services relative to the ARIA+ category. Localities displayed in Fig 2.

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget. This data set contains a surface depicting the elevation of the regional transgressive unconformity underlying the inner shelf of Long Bay, offshore of the South Carolina Grand Strand. Chirp seismic data collected with Benthos SIS-1000 and Edgetech SB-512 acquisition systems were processed using SIOSEIS (Scripps Institute of Oceanography) and Seismic Unix (Colorado School of Mines) to produce segy files and jpg images of the profiles. Data were then imported into Landmark SeisWorks, a digital seismic interpretation package, where the sea floor and underlying transgressive surface were interpreted and digitized. The isopach between these horizons was exported at every 50th shot as xyz points, and imported to ArcGIS for interpolation into a 10-m raster grid. The isopach grid was then subtracted from a seafloor bathymetry grid (bathy_grd) to approximate the proper elevation of the transgressive unconformity beneath the sea floor.

In 2023, an estimated share of 27.4 percent of people living in inner regional areas of Australia used telehealth services over a 12 month period. By comparison, in regional and remote areas only around 23 percent of the population used telehealth services for a consultation with a health professional.

This dataset is about books. It has 1 row and is filtered where the book is Inner city regeneration : the demise of regional and local government. It features 7 columns including author, publication date, language, and book publisher.

Comprehensive dataset of 15 Regional government offices in Inner Mongolia, China as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Summaries of the posterior means of the area-specific relative risk (‘Spatial’) and the area-specific yearly multiplicative change in risk (‘Temporal’) grouped by the Accessibility and Remoteness Index of Australia (ARIA), classified as major cities, inner regional and outer regional.

Using integral field spectroscopy (IFS) observations we aim to perform a systematic study and comparison of two inner and outer HII regions samples. The spatial resolution of the IFS, the number of objects and the homogeneity and coherence of the observations allow a complete characterization of the main observational properties and differences of the regions. We analyzed a sample of 725 inner HII regions and a sample of 671 outer HII regions, all of them detected and extracted from the observations of a sample of 263 nearby, isolated, spiral galaxies observed by the CALIFA survey. We find that inner HII regions show smaller equivalent widths, greater extinction and luminosities, along with greater values of [NII] {lambda}6583/H{alpha} and [OII] {lambda}3727/[OIII] {lambda}5007 emission-line ratios, indicating higher metallicities and lower ionization parameters. Inner regions have also redder colors and higher photometric and ionizing masses, although Mion/Mphot is slightly higher for the outer regions. This work shows important observational differences between inner and outer HII regions in star forming galaxies not previously studied in detail. These differences indicate that inner regions have more evolved stellar populations and are in a later evolution state with respect to outer regions, which goes in line with the inside-out galaxy formation paradigm. Cone search capability for table J/A+A/609/A102/table4 (Physical properties for 263 galaxies)

• ARIA+ is based on sum of ratios of road distances to population centers of five distinct sizes as compared to Australian national averages[34]. We label ARIA+ bands: 0–1.84 = Metro; >1.84–3.51 = Inner Regional; >3.51–5.80 = Outer Regional; >5.80–9.08 = Remote; and >9.08 = Very Remote.† BMI categories are labelled conventionally as Underweight (BMI<20), Normal weight (BMI 20 –<25), Overweight (BMI 25 –<30) and Obese (BMI 30 and higher).Model predictors of adherence.

A polyline shapefile containing the internal region lines to describe the OSPAR Convention regions

We report simultaneous H110{alpha} and H_2_CO line observations with the 25m radio telescope of Nanshan station toward 251 HII regions. We used the H110{alpha} line to establish the velocity of the HII regions and H_2_CO absorption lines to distinguish between near and far distances. We detected the H110{alpha} RRLs in 28 sources and H_2_CO absorption lines in 59 sources. In the latter case, 43 features had not previously been observed. H_2_CO and H110{alpha} lines were simultaneously detected toward 23 HII regions. We resolved the kinematic distance ambiguities for 14 HII regions and 20 intervening molecular clouds. Cone search capability for table J/A+A/532/A127/table1 (Observed sources)

a. Data content (data file/table name, including observation index content)

The Inner Mongolia Regional Stratigraphic Table Dataset (1978) reflects the characteristics and procedures of stratigraphic development in the Inner Mongolia region.

b. Construction purpose

Organize and preserve important geological resource information in Inner Mongolia, providing data support for rational utilization of black land resources and protection of the ecological environment.

c. Service object

Students and researchers, management and teaching personnel engaged in research related to regional ecology and geology.

d. Time range of data

1978

e. The spatial range of data

Inner Mongolia

This is a card index to those correspondence files held at 12/13042-13133 which were originally created by the Inner Metropolitan Regional Office. This Office was abolished in 1983 and its responsibilities were assumed by the Southern Metropolitan Regional Office. The majority of the Inner Metropolitan files were re-registered into the Southern Metropolitan's correspondence system.

The cards record file title and file number.

(11/19214). 1 box.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

Region Plan Areas for Anne Arundel County, MD. Edited from original data source at: https://gis.aacounty.org/arcgis/rest/services/OpenData/Planning_OpenData/MapServer/35 No inner region plan boundaries have been edited. Purpose of the edits are to bring the borders of the Region Plan Areas in line with the official County Boundary. All intersections between region plan areas have been continued parallel with one another until they form a junction with the County Boundary. Plan2040 establishes nine region planning areas encompassing all unincorporated areas of the County. These nine regions will be the focus of more detailed, community-level planning efforts following the adoption of Plan2040. Each plan is expected to tailor the Countywide goals and policies of Plan2040 and prioritize action strategies to address elements specific to each region, such as agriculture, sea level rise, transit-oriented development, redevelopment, revitalization, equity, and accessibility. Last Edited: January 2023 Walter Bruce Huffman III in Office of Planning and Zoning

In 2021, the proportion of Aboriginal and/or Torres Strait Islander people living in major cities in Australia amounted to 41.1 percent of the Aboriginal and/or Torres Strait Islander population. By comparison, 73.7 percent of the non-Indigenous population lived in major cities. Although the majority of the Aboriginal and/or Torres Strait Islander population lived in major cities and inner regional areas, almost one in ten lived in very remote communities.