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Head count of SES employees by portfolio, region and age group. *This data is no longer being updated. For more information please refer to https://www.forgov.qld.gov.au/recruitment-performance-and-c…Show full descriptionHead count of SES employees by portfolio, region and age group. *This data is no longer being updated. For more information please refer to https://www.forgov.qld.gov.au/recruitment-performance-and-career/workforce-planning/workforce-statistics-and-tools/workforce-statistics
Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.
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The Crime Statistics Agency (CSA) is responsible for processing, analysing and publishing Victorian crime statistics, independent of Victoria Police. The CSA aims to provide an efficient and transparent information service to assist and inform policy makers, researchers and the Victorian public. The legal basis for the Crime Statistics Agency is the Crime Statistics Act 2014, which provides for the publication and release of crime statistics, research into crime trends, and the employment of a Chief Statistician for that purpose. Under the provisions of the Act, the Chief Statistician is empowered to receive law enforcement data from the Chief Commissioner of Police and is responsible for publishing and releasing statistical information relating to crime in Victoria. The number and rate of recorded offences in Victoria. Data Classification - https://www.crimestatistics.vic.gov.au/about-the-data/classifications Glossary and Data Dictionary - https://www.crimestatistics.vic.gov.au/about-the-data/glossary-and-data-dictionary
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Time series state level datasets showing important indicators regarding mental health. Includes data on mental health readmissions within 28 days, Mental health Community Care with within seven days …Show full descriptionTime series state level datasets showing important indicators regarding mental health. Includes data on mental health readmissions within 28 days, Mental health Community Care with within seven days of discharge and mental health average length of stay (days).
Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
The olive residue production data is based on the estimated olive production, from the 2015-16 statistical area 2 (SA2) level, an Australian Statistical Geography Standard (ASGS) that is part of the ABS geographical framework for collection and dissemination of geographically classified statistics. SA2s are general-purpose medium sized areas, representing a community that interacts together socially and economically and generally have a population range of 3,000 to 25,000 persons. They can be linked to LGAs through correspondence tables that ABS provides. LGA’s with less than 5 Tonnes of Olive production were excluded from the analysis.
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Analysis of ‘Deaths in 122 U.S. cities - 1962-2016. 122 Cities Mortality Reporting System’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/259d9312-191c-4914-8c84-865676d22824 on 12 February 2022.
--- Dataset description provided by original source is as follows ---
This file contains the complete set of data reported to 122 Cities Mortality Reposting System. The system was retired as of 10/6/2016. While the system was running each week, the vital statistics offices of 122 cities across the United States reported the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days - 1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and - 85 years). U:Unavailable. - : No reported cases.* Mortality data in this table were voluntarily reported from 122 cities in the United States, most of which have populations of >100,000. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included. Total includes unknown ages. More information on Flu Activity & Surveillance is available at http://www.cdc.gov/flu/weekly/fluactivitysurv.htm.
--- Original source retains full ownership of the source dataset ---
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The National Regional Profile (NRP) presents, for all Australia, a range of data for various types of small regions. Data are available for Local Government Areas, Statistical Areas Levels 2 and other larger geographies. The NRP is intended for users interested in the characteristics of regions and in comparing regions across Australia. Data are in time series, where available.
The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.
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This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.
Australian Bureau of Statistics (ABS) Catalogue Number: 3218.0 Population Estimates by Local Government Area, 2011 to 2012.
ABS Catalogue Number 3218.0 Population Estimates by Local Government Area, 2011 to 2012.
This dataset was downloaded as a single spreadsheet file (.xls) on 29 May, 2014 from the following website: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3218.02011-12?OpenDocument
(Metadata taken from the Explanatory Notes section of the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3218.0Explanatory%20Notes12011-12?OpenDocument)
INTRODUCTION
1 This product contains estimates of the resident population of Statistical Areas Level 2 to 4 (SA2s - SA4s) and Greater Capital City Statistical Areas (GCCSAs) of Australia. These estimates plus those for Local Government Areas, Significant Urban Areas, Remoteness Areas and Electoral Divisions are also provided in the Downloads tab of this issue.
2 To meet the conflicting demands for accuracy and timeliness there are several versions of sub-state/territory population estimates. Preliminary estimates as at 30 June are normally available by April of the following year, revised estimates twelve months later and rebased and final estimates after the following Census. The estimates in this issue are preliminary rebased for 2011, based on the results of the 2011 Census, and preliminary for 2012.
For an ABS Glossary of Terms visit:
http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/2901.0Main%20Features12011
Australian Bureau of Statistics (2013) ABS Regional Population Growth Australia 2011-2012. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/c27fc127-3743-4805-b4b6-f50712cd655f.
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The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia.
This table contains data relating to status of worker by sex. Counts are of employed persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly.
This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
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This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2020. The data is aggregated to the 2020 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).
This data is sourced from the Australian Bureau of Statistics (Catalogue Number: 3218.0).
For more information please visit the Regional population methodology.
Notes: The population estimates in this issue are final for 2001 to 2016, revised for 2017 to 2019, and preliminary for 2020. Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimated resident population is based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.
AURIN has ingested this dataset in its GeoPackage format.
See our new monthly data page for data from November 2024 onwards.
These official statistics were independently reviewed by the Office for Statistics Regulation in May 2022. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled ‘accredited official statistics’. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. Further explanation of accredited official statistics can be found on the https://osr.statisticsauthority.gov.uk/accredited-official-statistics/" class="govuk-link">Office for Statistics Regulation website.
In response to user feedback, we are testing alternative ways of presenting the monthly data sets as visualisations on the UKHSA data dashboard. The current data sets will continue to be published as normal and users will be consulted prior to any significant changes. We encourage users to review and provide feedback on the new dashboard content.
Monthly counts of total reported, hospital-onset, hospital-onset healthcare associated (HOHA), community-onset healthcare associated (COHA), community-onset and community-onset community associated (COCA) MRSA bacteraemias by NHS organisations.
These documents contain the monthly counts of total reported, hospital-onset and community-onset MRSA bacteraemia by NHS organisations.
The UK Government Web Archive contains MRSA bacteraemia data from previous financial years, including:
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20230510143423/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2022 to 2023
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20220614173109/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2021 to 2022
data from https://webarchive.nationalarchives.gov.uk/20210507180210/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2020 to 2021
data from https://webarchive.nationalarchives.gov.uk/20200506173036/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2019 to 2020
data from https://webarchive.nationalarchives.gov.uk/20190508011104/https://www.gov.uk/government/collections/staphylococcus-aureus-guidance-data-and-analysis" class="govuk-link">2018 to 2019
data from https://webarchive.nationalarchives.gov.uk/20180510152304/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2017 to 2018
data from https://webarchive.nationalarchives.gov.uk/20170515101840tf_/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2013 to 2014, up to 2016 to 2017
data from https://webarchive.nationalarchives.gov.uk/20140712114853tf_/http://www.hpa.org.uk/web/HPAweb&HPAwebStandard/HPAweb_C/1254510675444" class="govuk-link">2013 and earlier
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SA2 based data for Country of Birth of Person by Year of Arrival in Australia, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G10 is broken up into 3 sections (G10a - G10c), this section contains 'Canada Year of arrival Before 1946' - 'Ireland Year of arrival 2006 to 2010'. Where arrival is stated as the year 2016 it corresponds to the period 1 January 2016 to 9 August 2016. The list of countries consists of the most common Country of Birth responses (excluding Australia) reported in the 2011 Census. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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Australian Statistical Geography Standard (ASGS) geographic correspondences from 2011 in .xls and .xlsx formats. Please be advised that these correspondences are in the format (read from left to right): From Region Code, From Region Name, To Region Code, To Region Name, Ratio, Percent.
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Penghu County's general land, self-occupied residential land, business land, labor dormitory land, public facilities reserve land, and other land prices and tax sources in the past five years.
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The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. This table contains data relating to birthplace (regions) by sex. Counts are of all persons, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary.
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Actual and expected expenditure by private organisations exploring for minerals. Mineral exploration expenditure is classified by state and commodity, and data are provided on metres drilled.
This dataset is a polygon coverage of counties limited to the extent of the Pond Creek coal bed resource areas and attributed with statistics on the thickness of the Pond Creek coal zone, its elevation, and overburden thickness, in feet. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C.
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.
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Head count of SES employees by portfolio, region and age group. *This data is no longer being updated. For more information please refer to https://www.forgov.qld.gov.au/recruitment-performance-and-c…Show full descriptionHead count of SES employees by portfolio, region and age group. *This data is no longer being updated. For more information please refer to https://www.forgov.qld.gov.au/recruitment-performance-and-career/workforce-planning/workforce-statistics-and-tools/workforce-statistics