Aggregate statistics for all registered storefront by identified geographic boundaries (Citywide, Borough, Council District, Census Tract)

Population by sex and social class by Local Authorities. (Census 2022 Theme 9 Table 1 )Census 2022 table 9.1 is population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex. Census 2022 theme 9 is Social Class and Socio-Economic Group. The methodology has changed for SOC and SEG so comparisons cannot be made with 2016 data. See Background Notes - CSO - Central Statistics Officehttps://www.cso.ie/en/releasesandpublications/ep/p-cpp7/census2022profile7-employmentoccupationsandcommuting/backgroundnotes/ The country is divided into 31 administrative counties/cities. Outside Dublin, there are 23 administrative counties and four cities: Cork, Limerick, Waterford and Galway. There are four local authority areas in Dublin: Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin. The Local Government Reform Act 2014 Section 9 provided for the amalgamation of the city and county councils in Limerick, Waterford, and North Tipperary and South Tipperary County Councils.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. This dataset is provided by Tailte Éireann, Administrative Counties 2019

Population by sex and social class by Small Area. (Census 2022 Theme 9 Table 1 )Census 2022 table 9.1 is population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex. Census 2022 theme 9 is Social Class and Socio-Economic Group. The methodology has changed for SOC and SEG so comparisons cannot be made with 2016 data. See Background Notes - CSO - Central Statistics Officehttps://www.cso.ie/en/releasesandpublications/ep/p-cpp7/census2022profile7-employmentoccupationsandcommuting/backgroundnotes/ Census Small Areas are the lowest level of geography for the dissemination of Census data and typically contain between 50 and 200 dwellings. They are generally comprised of complete neighbourhoods or townlands and they nest within CSO Electoral Divisions. Census 2022 Small Areas have been redrawn to ensure they remain consistent with the principle of data protection and are relatively comparable in size. This redraw was necessary following changes in population size and distribution between 2016 and 2022 and was done by the CSO with support from Tailte Éireann. Small Areas were first published for Census 2011 following work undertaken by the National Institute of Regional and Spatial Analysis (NIRSA) on behalf of Tailte Éireann and in consultation with the CSO. Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. CSO Small Areas 2022

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and outdoor recreation access across the nation. This data release presents results from statistical summaries of the PAD-US 4.0 protection status (by GAP Status Code) and public access status for various land unit boundaries (PAD-US 4.0 Vector Analysis and Summary Statistics). Summary statistics are also available to explore and download from the PAD-US Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). The vector GIS analysis file, source data used to summarize statistics for areas of interest to stakeholders (National, State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative), and complete Summary Statistics Tabular Data (CSV) are included in this data release. Raster analysis files are also available for combination with other raster data (PAD-US 4.0 Raster Analysis). The PAD-US Combined Fee, Designation, Easement feature class in the Full Inventory Database, with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class, was modified to prioritize and remove overlapping management designations, limiting overestimation in protection status or public access statistics and to support user needs for vector and raster analysis data. Analysis files in this data release were clipped to the Census State boundary file to define the extent and fill in areas (largely private land) outside the PAD-US, providing a common denominator for statistical summaries.

Aggregate statistics for registered storefronts in Designated Class One properties by identified geographic boundaries (Citywide, Borough, Council District).

Analysis of ‘Storefront Registration Class 2 and 4 Statistics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1642c68a-b308-45d2-abc0-1acd8e8656de on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Aggregate statistics for all registered storefront by identified geographic boundaries (Citywide, Borough, Council District, Census Tract)

--- Original source retains full ownership of the source dataset ---

Aggregate statistics for registered storefronts in Designated Class One properties by identified geographic boundaries (Citywide, Borough, Council District).

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This product, Australian Statistical Geography Standard (ASGS) Volume 1 - Main Structure and Greater Capital City Statistical Areas (cat no. 1270.0.55.001), is the first in a series of Volumes that will detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis of the regions of the Main Structure and the Greater Capital City Statistical Areas and their relationship to each other.

Volume 2 - Indigenous Structure (cat no. 1270.0.55.002), is the second in a series of Volumes that detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis for the design of the Indigenous Structure. This product contains several elements including the manual, region names and codes and the digital boundaries.

The Non-ABS Structures bring together those regions which are not defined by the ABS, but which are important to users of ABS statistics. ABS is committed to providing a range of statistics for these areas. They generally represent administrative regions and are approximated by Mesh Blocks (MBs), Statistical Areas Level 1 (SA1) or Statistical Areas Level 2 (SA2). As the Non-ABS Structures represent regions that are subject to ongoing change, the ABS will release a revised publication for ASGS Non-ABS Structures in July each year. The individual structures will only be updated where significant change has occurred in the past year.

Full metadata is available at the feature class level by selecting the 'Description' tab in ArcCatalog.

This dataset contains three Geodatabases:

1. ABS Boundaries 2011

Feature Classes:

a) Greater Capital City Statistical Area polygons for Australia - GCCSA_2011_AUST

b) Mesh Block polygons split into State feature classes - MB_2011_\[STATE\]

c) Statistical Area polygons, Split into Levels 1, 2, 3 and 4 feature classes - SA\[LEVEL\]_2011

d) State Borders for Australia polygons - STE_2011_AUST

1. Indigenous Structures 2011

Feature Classes:

a) Indigenous Areas - Polygons

b) Indigenous Locations - Polygons

c) Indigenous Regions - Polygons

1. Non ABS Boundaries 2011

Feature Classes

a) Australian Drainage Divisions

b) Commonwealth Electoral Divisions

c) Local Government Areas

d) Postal Areas

e) State Electoral Boundaries

f) State Suburb Code

g) Tourism Regions

Dataset History

The Australian Statistical Geography Standard (ASGS) is a hierarchical classification system of geographical regions and consists of a number of interrelated structures. The ASGS brings all the regions for which the Australian Bureau of Statistics (ABS) publishes statistics within the one framework and will be used by the ABS for the collection and dissemination of geographically classified statistics from the 1 July 2011. It provides a common framework of statistical geography and enables the production of statistics which are comparable and can be spatially integrated.

Dataset Citation

Australian Bureau of Statistics (2011) ABS Boundaries 2011. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/8b65c3a4-7010-4a79-8eaa-5621b750347f.

Population by sex and social class by NUTS3. (Census 2022 Theme 9 Table 1 )Census 2022 table 9.1 is population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex. Census 2022 theme 9 is Social Class and Socio-Economic Group. The methodology has changed for SOC and SEG so comparisons cannot be made with 2016 data. See Background Notes - CSO - Central Statistics Officehttps://www.cso.ie/en/releasesandpublications/ep/p-cpp7/census2022profile7-employmentoccupationsandcommuting/backgroundnotes/ The Nomenclature of Territorial Units for Statistics (NUTS) were created by Eurostat in order to define territorial units for the production of regional statistics across the European Union. In 2003 the NUTS classification was established within a legal framework (Regulation (EC) No 1059/2003).Changes made under the 2014 Local Government Act prompted a revision of the Irish NUTS 2 and NUTS 3 Regions. The main changes at NUTS 3 level were the transfer of South Tipperary from the South-East into the Mid-West NUTS 3 region and the movement of Louth from the Border to the Mid-East NUTS 3 Region. NUTS 3 Regions are grouped into three NUTS 2 Regions (Northern and Western, Southern, Eastern and Midland) which correspond to the Regional Assemblies established in the 2014 Local Government Act. The revisions made to the NUTS boundaries have been given legal status under Commission Regulation (EU) 2016/2066.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. NUTS3 Regions 2015This dataset is provided by Tailte Éireann

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 4.0 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS4_0_VectorAnalysis_Script_Python3.zip") associated with this data release prioritized overlapping designations (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation status (e.g. GAP Status Code 1 over 2), public access values (in the order of Closed, Restricted, Open, Unknown), and geodatabase load order (records are deliberately organized in the PAD-US full inventory with fee owned lands loaded before overlapping management designations, and easements). Vector Analysis ("PADUS4_0VectorAnalysis_GAP_PADUS_Only_ClipCENSUS.zip") data was created by clipping the PAD-US 4.0 Spatial Analysis and Statistics results to the Census state boundary file to define the extent and serve as a common denominator for statistical summaries. Boundaries of interest to stakeholders (State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative) were incorporated into separate geodatabase feature classes to support various data summaries ("PADUS4_0_VectorAnalysisFile_OtherExtents_ClipCENSUS2022.zip"). Comma-separated Value (CSV) tables ("PADUS4_0_SummaryStatistics_TabularData_CSV.zip") provided as an alternative format and enable users to explore and download summary statistics of interest from the PAD-US Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 4.0 combined file without other extent boundaries ("PADUS4_0VectorAnalysis_GAP_PADUS_Only_ClipCENSUS.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS4_0VectorAnalysis_State_Clip_CENSUS2022" feature class ("PADUS4_0_VectorAnalysisFile_OtherExtents_ClipCENSUS2022.gdb") is the source of the PAD-US 4.0 Raster Analysis child item. Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types represented in some manner, while work continues to maintain updates and improve data quality (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, changes in protected area status between versions of the PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://ngda-portfolio-community-geoplatform.hub.arcgis.com/pages/portfolio ), agencies are the best source of their lands data.

Population by sex and social class by Electoral Divisions. (Census 2022 Theme 9 Table 1 )Census 2022 table 9.1 is population aged 15+ by sex and social class. Attributes include population breakdown by social class and sex. Census 2022 theme 9 is Social Class and Socio-Economic Group. The methodology has changed for SOC and SEG so comparisons cannot be made with 2016 data. See Background Notes - CSO - Central Statistics Officehttps://www.cso.ie/en/releasesandpublications/ep/p-cpp7/census2022profile7-employmentoccupationsandcommuting/backgroundnotes/ Electoral Divisions (EDs) are the smallest legally defined administrative areas in the State. There are 3,440 legally defined EDs in the State. However, in order to render them suitable for the production of statistics, the CSO has amended some ED boundaries to ensure that statistical disclosure does not occur. This has had the effect of amalgamating some EDs and splitting others. The amending of the Cork City and Cork County boundaries necessitated a redrawing of Electoral Division boundaries within Cork to ensure all ED boundaries in the county were suitable for the production of statistical data. For Census 2022, the CSO is publishing data for 3,420 CSO Electoral Divisions. The CSO Electoral divisions are referred to by their established statutory names.Formally “District Electoral Divisions” (DEDs), under the 2001 Local Government Act, the names of Wards and the names of District Electoral Divisions were changed to Electoral Divisions. Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. CSO Electoral Divisions 2022

Labour Force Survey estimates (LFS), employment by population centres and rural areas based on 2011 Census boundaries, class of worker and North American Industry Classification System (NAICS)

This table contains 5016 series, with data for years 2011 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Urban and rural areas (8 items: Total urban and rural areas; Census metropolitan area and census agglomeration; Urban core; Urban fringe ...), Class of worker (3 items: Total employed; all classes of workers; Employees; Self-employed ...), North American Industry Classification System (NAICS) (19 items: Total employed; all industries; Agriculture; Forestry; fishing; mining; quarrying; oil and gas; Goods-producing sector ...).

Financial ratios of farms, by revenue class and quartile boundary, incorporated and unincorporated sectors, Canada

Labour force survey estimates (LFS), employment by urban and rural areas based on 2006 census boundaries, class of worker and North American Industry Classification System (NAICS), unadjusted for seasonality