The Health Statistics and Health Research Database is Estonian largest set of health-related statistics and survey results administrated by National Institute for Health Development. Use of the database is free of charge.

The database consists of eight main areas divided into sub-areas. The data tables included in the sub-areas are assigned unique codes. The data tables presented in the database can be both viewed in the Internet environment, and downloaded using different file formats (.px, .xlsx, .csv, .json). You can download the detailed database user manual here (.pdf).

The database is constantly updated with new data. Dates of updating the existing data tables and adding new data are provided in the release calendar. The date of the last update to each table is provided after the title of the table in the list of data tables.

A contact person for each sub-area is provided under the "Definitions and Methodology" link of each sub-area, so you can ask additional information about the data published in the database. Contact this person for any further questions and data requests.

Read more about publication of health statistics by National Institute for Health Development in Health Statistics Dissemination Principles.

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

This dataset contains the cumulative number of deaths, average number of deaths annually, average annual crude and adjusted death rates with corresponding 95% confidence intervals, and average annual years of potential life lost per 100,000 residents aged 75 and younger due to selected causes of death, by Chicago community area, for the years 2006 – 2010. A ranking for each measure is also provided, with the highest value indicated with a ranking of 1. See the full description at: https://data.cityofchicago.org/api/views/6vw3-8p6f/files/CqPqfHSv8UUAoXCBjn4_tLqcQHhb36Ih4-meM-4zNzs?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\MORTALITY\Dataset_Description_06_10_PORTAL_ONLY.pdf

Introduction

We are enclosing the database used in our research titled "Concentration and Geospatial Modelling of Health Development Offices' Accessibility for the Total and Elderly Populations in Hungary", along with our statistical calculations. For the sake of reproducibility, further information can be found in the file Short_Description_of_Data_Analysis.pdf and Statistical_formulas.pdf

The sharing of data is part of our aim to strengthen the base of our scientific research. As of March 7, 2024, the detailed submission and analysis of our research findings to a scientific journal has not yet been completed.

The dataset was expanded on 23rd September 2024 to include SPSS statistical analysis data, a heatmap, and buffer zone analysis around the Health Development Offices (HDOs) created in QGIS software.

Short Description of Data Analysis and Attached Files (datasets):

Our research utilised data from 2022, serving as the basis for statistical standardisation. The 2022 Hungarian census provided an objective basis for our analysis, with age group data available at the county level from the Hungarian Central Statistical Office (KSH) website. The 2022 demographic data provided an accurate picture compared to the data available from the 2023 microcensus. The used calculation is based on our standardisation of the 2022 data. For xlsx files, we used MS Excel 2019 (version: 1808, build: 10406.20006) with the SOLVER add-in.

Hungarian Central Statistical Office served as the data source for population by age group, county, and regions: https://www.ksh.hu/stadat_files/nep/hu/nep0035.html, (accessed 04 Jan. 2024.) with data recorded in MS Excel in the Data_of_demography.xlsx file.

In 2022, 108 Health Development Offices (HDOs) were operational, and it's noteworthy that no developments have occurred in this area since 2022. The availability of these offices and the demographic data from the Central Statistical Office in Hungary are considered public interest data, freely usable for research purposes without requiring permission.

The contact details for the Health Development Offices were sourced from the following page (Hungarian National Population Centre (NNK)): https://www.nnk.gov.hu/index.php/efi (n=107). The Semmelweis University Health Development Centre was not listed by NNK, hence it was separately recorded as the 108th HDO. More information about the office can be found here: https://semmelweis.hu/egeszsegfejlesztes/en/ (n=1). (accessed 05 Dec. 2023.)

Geocoordinates were determined using Google Maps (N=108): https://www.google.com/maps. (accessed 02 Jan. 2024.) Recording of geocoordinates (latitude and longitude according to WGS 84 standard), address data (postal code, town name, street, and house number), and the name of each HDO was carried out in the: Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file.

The foundational software for geospatial modelling and display (QGIS 3.34), an open-source software, can be downloaded from:

https://qgis.org/en/site/forusers/download.html. (accessed 04 Jan. 2024.)

The HDOs_GeoCoordinates.gpkg QGIS project file contains Hungary's administrative map and the recorded addresses of the HDOs from the

Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file,

imported via .csv file.

The OpenStreetMap tileset is directly accessible from www.openstreetmap.org in QGIS. (accessed 04 Jan. 2024.)

The Hungarian county administrative boundaries were downloaded from the following website: https://data2.openstreetmap.hu/hatarok/index.php?admin=6 (accessed 04 Jan. 2024.)

HDO_Buffers.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding buffer zones with a radius of 7.5 km.

Heatmap.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding heatmap (Kernel Density Estimation).

A brief description of the statistical formulas applied is included in the Statistical_formulas.pdf.

Recording of our base data for statistical concentration and diversification measurement was done using MS Excel 2019 (version: 1808, build: 10406.20006) in .xlsx format.

• Aggregated number of HDOs by county: Number_of_HDOs.xlsx
• Standardised data (Number of HDOs per 100,000 residents): Standardized_data.xlsx
• Calculation of the Lorenz curve: Lorenz_curve.xlsx
• Calculation of the Gini index: Gini_Index.xlsx
• Calculation of the LQ index: LQ_Index.xlsx
• Calculation of the Herfindahl-Hirschman Index: Herfindahl_Hirschman_Index.xlsx
• Calculation of the Entropy index: Entropy_Index.xlsx
• Regression and correlation analysis calculation: Regression_correlation.xlsx

Using the SPSS 29.0.1.0 program, we performed the following statistical calculations with the databases Data_HDOs_population_without_outliers.sav and Data_HDOs_population.sav:

• Regression curve estimation with elderly population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_elderly_without_outlier.spv
• Pearson correlation table between the total population, elderly population, and number of HDOs per county, excluding outlier values such as Budapest and Pest County: Pearson_Correlation_populations_HDOs_number_without_outliers.spv.
• Dot diagram including total population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_total_population_without_outliers.spv.
• Dot diagram including elderly (64<) population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_elderly_population_without_outliers.spv
• Regression curve estimation with total population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_without_outlier.spv
• Dot diagram including elderly (64<) population and number of HDOs per county: Dot_HDO_elderly_population.spv
• Dot diagram including total population and number of HDOs per county: Dot_HDO_total_population.spv
• Pearson correlation table between the total population, elderly population, and number of HDOs per county: Pearson_Correlation_populations_HDOs_number.spv
• Regression curve estimation with total population and number of HDOs, (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_total_population.spv

For easier readability, the files have been provided in both SPV and PDF formats.

The translation of these supplementary files into English was completed on 23rd Sept. 2024.

If you have any further questions regarding the dataset, please contact the corresponding author: domjan.peter@phd.semmelweis.hu

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 3.0 protection status (by GAP Status Code) and public access status for various land unit boundaries (Protected Areas Database of the United States 3.0 Vector Analysis and Summary Statistics). Summary statistics are also available to explore and download (Comma-separated Table [CSV], Microsoft Excel Workbook (.xlsx), Portable Document Format [.pdf] Report) from the PAD-US Lands and Inland Water 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 GIS analysis files are also available for combination with other raster data (Protected Areas Database of the United States (PAD-US) 3.0 Raster Analysis). The PAD-US 3.0 Combined Fee, Designation, Easement feature class in the full inventory, with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class (Protected Areas Database of the United States (PAD-US) 3.0, https://doi.org/10.5066/P9Q9LQ4B), 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.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

National Motor Vehicle Registration Data by Vehicle Energy SourcesThe Federal Highway Administration, Office of Highway Policy Information, has developed this motor vehicle registration data based on energy sources required by vehicles. The data has three vehicle classes: light-duty vehicles, buses, and trucks. Light duty vehicles include the FHWA Highway Statistics VM-1 Light Duty Short-Wheel and Light Duty Long-Wheel based vehicles. Buses are the same as FHWA’s Highway Statistics VM-1 Buses. And Trucks include the FHWA’s Highway Statistics VM-1 Single Unit Trucks and Combination Trucks. Energy sources are electric plug-ins, hybrid, and conventional gasoline/gasohol/diesel. The data does not include motorcycle registration information.

# README

These files contain r data objects and R files that represent the key details of the paper, "Evaluating health facility access using Bayesian spatial models and location analysis methods".

The following datasources are available for simulation of some of the ideas in the paper.

- dat_grid_sim: simulated data of the grid and grid cells
- dat_ohca_cv_sim: simulated data containing the cross validated test/training sets of OHCA data
- dat_ohca_sim: simulated OHCA event data
- dat_aed_sim: simulated AED location data
- dat_bldg_sim: simulated building location data
- dat_municipality_sim: simulated municipality information
- table_1: Table 1 information containing key demographic data

These data were produced using the code in 01-create-sim-data.R, and one of the statistical models is demonstrated in 02-demo-inla-model.R

In terms of the paper itself, the functions and code used in the manuscript are located in:

* 01_tidy.Rmd - analysis code used to tidy up the data

* 02_fit_fixed_all_cv.Rmd - analysis code used to place AEDs

* 02_model.Rmd - analysis code used to fit the model in INLA

* 03_manuscript.Rmd - Full code and text used to create the paper

* 04_supp_materials.Rmd - full code and text used to create the supplementary materials

The following files are a part of an R package "swatial" that was developed along with the paper. These files are:

* DESCRIPTION

* NAMESPACE

* LICENSE

* LICENSE.md

* decay.R

* spherical-distance.R

* test-figure-data-matches.R

* test-table-data-matches.R

* testthat.R

* tidy-inla.R

* tidy-posterior-coefs.R

* tidy-predictions.R

* utils-pipe.R

* All files that end in .Rd are documentation files for the functions.

## Regarding data sources

Census information for Ticino was transcribed from the Annual Statistical Report of Canton Ticino from years 2010 to 2015. This data was taken from their publicly accessible annual reports - for example: (https://www3.ti.ch/DFE/DR/USTAT/allegati/volume/ast_2015.pdf). The raw data was extracted from these annual reports, and placed into the file: "swiss_census_popn_2010_2015.xlsx". These data are put into analysis ready format in the file “01_tidy.Rmd”

Housing and other relevant geospatial data can be accessed via http://map.housing-stat.ch/ and https://data.geo.admin.ch/. The maps of buildings from the REA (Register of Buildings and Dwellings) can be found here: https://map.geo.admin.ch/?zoom=11&bgLayer=ch.swisstopo.pixelkarte-grau&lang=en&topic=ech&layers=ch.bfs.gebaeude_wohnungs_register,ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill,ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude,ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen,ch.swisstopo.swissbuildings3d_1.metadata,ch.swisstopo.swissbuildings3d_2.metadata&E=2717616.28&N=1096597.25&catalogNodes=687,696&layers_timestamp=,,2016,2016,,&layers_visibility=true,false,false,false,false,false&layers_opacity=1,1,1,1,1,0.75

For further enquiries on this data, contact the Swiss federal Office of Statistics at the details listed here: https://www.bfs.admin.ch/bfs/en/home/services/contact.html

The shapefiles of the Comuni can be accessed here: https://www4.ti.ch/dfe/de/ucr/documentazione/download-file/?noMobile=1

Data from the people living in the Municipalities in Ticino can be downloaded here: https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=dati.home&tema=33&id2=61&id3=65&c1=01&c2=02&c3=02

## Future work

In the future, these functions from the paper may be generalised and put into their own package. If that happens, this repository will be updated with a link to updated functions.

The Global Environment Outlook (GEO) Data Portal was initiated in October 2000 to provide a comprehensive, reliable, and timely supply of data sets used by the United Nations Environment Programme (UNEP) and its partners in the GEO reports and other integrated environment assessments. Since then, the GEO Data Portal has matured into a unique data and information application which responds to the needs of the global environmental community for easy access to systematic and well-documented data on the environment, including the state of natural resources, as well as the societal driving forces and root causes of environmental change and degradation.

The GEO Data Portal is managed by DEWA/GRID-Geneva which is part of UNEP's global network of environmental information centres, known as the Global Resource Information Database (GRID).

The GEO Data Portal's online database holds more than 700 data sets representing over 400 unique variables. Data are provided as national, subregional, regional and global statistics or as geospatial data sets (maps), covering themes like Freshwater, Population, Forests, Emissions, Climate, Disasters, Health, and Gross Domestic Product (GDP). The data cover the time period from 1972-2002 where available. The GEO Data Portal offers users the option to: (1) draw, view and explore maps, graphs and tables online; (2) view documentation and other metadata; and/or (3) download data sets as Excel, PDF, CSV, XML or ARCINFO Shape files as appropriate.

Data from the GEO Data Portal are extracted by UNEP/DEWA/GRID-Geneva to produce another product, called the GEO-3 Data Compendium. The Compendium provides the major statistical data sets underlying the integrated analyses in the GEO reports. It is available online at [http://geocompendium.grid.unep.ch/] as well as on CD-ROM and as a printed publication.

The latest GEO report is GEO-3. This third edition complements the detailed assessment of the state of the global environment set out in GEO-2000.

The data sets held in the GEO Data Portal are derived from many different organizations and databases. These sources are listed at [http://geodata.grid.unep.ch/datasource.php]. In addition to providing readily available data sets, several institutions also have assisted in data processing. The data sources and providers are listed in the metadata that accompany each data set.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

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 3.0 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 ("PADUS3_0_CreateVectorAnalysisFileScript.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). The Vector Analysis File ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") associated item of PAD-US 3.0 Spatial Analysis and Statistics ( https://res1doid-o-torg.vcapture.xyz/10.5066/P9KLBB5D ) was clipped 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 ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip") and Comma-separated Value (CSV) tables ("PADUS3_0SummaryStatistics_TabularData_CSV.zip") summarizing "PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip" are provided as an alternative format and enable users to explore and download summary statistics of interest (Comma-separated Table [CSV], Microsoft Excel Workbook [.XLSX], Portable Document Format [.PDF] Report) from the PAD-US Lands and Inland Water Statistics Dashboard ( https://res1wwwd-o-tusgsd-o-tgov.vcapture.xyz/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 3.0 combined file without other extent boundaries ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb") is the source of the PAD-US 3.0 raster files (associated item of PAD-US 3.0 Spatial Analysis and Statistics, https://res1doid-o-torg.vcapture.xyz/10.5066/P9KLBB5D ). 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://res1wwwd-o-tfgdcd-o-tgov.vcapture.xyz/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

In this section you can obtain a series of statistics relating to injuries due to accidents at work and occupational diseases in the Autonomous Community of the Basque Country, prepared from the communications of parts of accidents at work and occupational diseases to the labour authority and to the Social Security.Since 1 January 2004, it was established by the Order of 20 November 2003 of the Minister of Justice, Employment and Social Security of the Basque Government that, in the Basque Country, the presentation to the labour authority of the parts of accidents and occupational diseases was done electronically through the IGATT IT application. Subsequently, Order TAS/1/2007, which establishes the model of part of occupational disease, dictates rules for its preparation and transmission and creates the corresponding personal data file, ordered an electronic processing system for occupational diseases differentiated from the system used for accidents at work. The CEPROSS IT application was created, under the Directorate-General for Social Security Regulation.This new legislation, as well as the entry into force on 1 January 2009 of the new National Classification of Economic Activities (CNAE-2009), has required improvements to be made to the accident notification and registration system of the Department of Employment and Social Policies to take account of the above-mentioned updates.After the relevant amendments were made to the IGATT application, in 2012 the format for disseminating statistics on accidents at work and occupational diseases provided through the Osalan website was changed. One of the reasons has been the improvements incorporated in the system of notification and registration of accidents at work of the Department of Employment and Social Policies in the process of control and validation of the declaration parts.As of 2012, access to the monthly statistical reports will be made by selecting the year and month of interest. Once the monthly period is chosen, the list of tables corresponding to that period will be displayed. The tables can be consulted and downloaded in various formats.Note that, in the tables that show comparative data with previous years, differences can be observed with the data provided through the previous dissemination system and that is still available in this section of statistics of the Osalan website. These differences are due to the new validation criteria.We recommend reading the document Methodological Note (pdf, 48 kb) before proceeding to the consultation or download of the statistical tables in order to know the source of data and the selection criteria used in the statistical operation.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2012 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The health insurance coverage category names were modified in 2010. See ACS Health Insurance Definitions for a list of the insurance type definitions..Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010..Industry codes are 4-digit codes and are based on the North American Industry Classification System 2007. The Industry categories adhere to the guidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by the Office of Management and Budget..Workers include members of the Armed Forces and civilians who were at work last week..The Census Bureau introduced an improved sequence of labor force questions in the 2008 ACS questionnaire. Accordingly, we recommend using caution when making labor force data comparisons from 2008 or later with data from prior years. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the "Evaluation Report Covering Employment Status" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6a_Employment_Status.pdf, and the "Evaluation Report Covering Weeks Worked" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6b_Weeks_Worked_Final_Report.pdf. Additional information can also be found at http://www.census.gov/people/laborforce/..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence...

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The Census Bureau introduced an improved sequence of labor force questions in the 2008 ACS questionnaire. Accordingly, we recommend using caution when making labor force data comparisons from 2008 or later with data from prior years. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the "Evaluation Report Covering Employment Status" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6a_Employment_Status.pdf, and the "Evaluation Report Covering Weeks Worked" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6b_Weeks_Worked_Final_Report.pdf. Additional information can also be found at http://www.census.gov/hhes/www/laborfor/laborforce.html..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Armed Forces data are not shown for the population 65 years and over..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2010 American Community Survey

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The "Employed" and "Unemployment rate" columns refer to the civilian population. For more information, see the ACS Subject Definitions..The Census Bureau introduced an improved sequence of labor force questions in the 2008 ACS questionnaire. Accordingly, we recommend using caution when making labor force data comparisons from 2008 or later with data from prior years. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the "Evaluation Report Covering Employment Status" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6a_Employment_Status.pdf, and the "Evaluation Report Covering Weeks Worked" at http://www.census.gov/acs/www/Downloads/methodology/content_test/P6b_Weeks_Worked_Final_Report.pdf. Additional information can also be found at http://www.census.gov/hhes/www/laborfor/laborforce.html..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2010 American Community Survey