The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., "01" becomes "1") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.

The Facility-Level Minimum Data Set (MDS) Frequency dataset provides information for active nursing home residents on topics, such as race/ethnicity, age, or marital status; discharge dispositions; hearing, speech, and vision; cognitive patterns; mood; functional abilities and goals; bladder and bowel; active diagnoses; health conditions; swallowing/nutritional status; oral/dental status; skin conditions; medications; special treatments, procedures, and programs; restraints and alarms; and participation in assessment and goal setting. Note: The MDS dataset contains more records than most spreadsheet programs can handle. The use of a database or statistical software is generally required. The dataset can be filtered to a more manageable size for use in a spreadsheet program by clicking on the “View Data” button. Additional filter information can be found in the methodology, if needed.

Minimum Wages in the United States remained unchanged at 7.25 USD/Hour in 2025 from 7.25 USD/Hour in 2024. This dataset provides - United States Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data archive consists of a digitized database of all of India's daily minimum wages across states and detailed industries for the years 1983, 1985/86, 1993, 1998, 2004, and 2006. These data are otherwise only available on paper and/or pdf documents. The data are provided as Excel and Stata files, including aggregate codes by broad industry group that the principal investigators assigned during their research.

Replication files for David Slichter, "The Employment Effects of the Minimum Wage: A Selection Ratio Approach to Measuring Treatment Effects,” Journal of Applied Econometrics, forthcoming Firstly, I’ve provided a .do file called sr.do which contains general code for implementing the selection ratio approach, with detailed instructions written as comments in the code. For the minimum wage application, the main data file is mw_final.dta. A .csv version is also provided. Observations are a county in a time period. I have added self-explanatory variable labels for most variables. A few variables warrant a clearer explanation: adj1-adj14: List of FIPS codes of all counties which are adjacent to the county in question. Each variables holds one adjacent county, and counties with fewer than 14 neighbors will have missing values for some of these variables. change, logchange: Minimum wage this quarter - minimum wage last quarter, measured either in dollars or in logs. time, t1-t108: The variable "time" converts years and quarters into a univariate time period, with time=1 in 1990Q1 and time=108 in 2016Q4. t1-t108 are indicators for each of these time periods. lnemp_1418, lnearnbeg_1418, lnsep_1418, lnhira_1418, lnchurn_1418: Logs of employment, earnings, separations, hires, and churn, respectively, for 14-18 year olds. gt1-gt6: Dummies for inclusion in each of the six comparisons used for the main (i.e., not spillover-robust) analysis. All treated counties which neighbor a control country take value 1 for each of these variables; all other treated counties take value 0. Among control counties, gt1=1 if the county neighbors a treated county and 0 otherwise, gt2=1 if the county has gt1=0 but neighbors a gt1=1 county, gt3=1 if county has gt1=gt2=0 but neighbors a gt2=1 county, etc. h2-h6: Dummies for inclusion in each of the first spillover-robust (i.e., excluding border counties only) comparisons. Among control counties, h2-h6 are equal to gt2-gt6. Among treated counties, h2-h6 are equal to 1 if the treated county has gt1=0 but borders a gt1=1 county, and 0 otherwise. k3-k6: Dummies for inclusion in each of the second spillover-robust (i.e., excluding two layers) comparisons. Among control counties, these variables are equal to gt3-gt6. Among treated counties, all observations take value 1 except those with gt1=1 or h2=1. The data sources are as follows. The minimum wage law series is taken from David Neumark's website (https://www.economics.uci.edu/~dneumark/datasets.html). The economic variables are taken from the QWI, which I accessed via the Ithaca Virtual RDC. County adjacency files were downloaded from the Census Bureau (https://www.census.gov/geo/reference/county-adjacency.html). The file main.do then runs the analyses. The resulting output file containing results is results.dta.

This statistical release makes available the most recent Mental Health Minimum Data Set (MHMDS) final monthly data (October 2013). This publication series replaces the Routine Quarterly MHMDS Reports, last published for the period Q4 2012-13, reflecting the change in the frequency of submissions. Further information about these changes and format of the monthly release can be found through the Resource links. This information will be of particular interest to organisations involved in delivering secondary mental health care for adults, as it presents timely information about caseload and activity that which can support discussions between providers and commissioners of services. For patients, researchers, agencies and the wider public it aims to provide up to date information about the numbers of people using services, spending time in psychiatric hospitals and subject to the Mental Health Act. Some of these measures are currently experimental analysis.

This is a group layer item for the most commonly requested base data layers by Urban Search & Rescue stakeholders. Created on 11/20/2023. See links below for more details and metadata. These are base data (static, not changing during the incident) that are periodically updated and available as nationwide datasets but not be complete or up to date. Use local data whenever available for detailed maps and analysis. Symbology from NAPSG Public Safety Symbology Library were used when available napsg-web.s3.amazonaws.com/symbology/index.htmlBuildings - This group features data from Microsoft, FEMA, and Open Street Map. Each layer has different attributes, coverage, and accuracy. Choose the best one for your area.Critical Infrastructure - This group features data from Homeland Infrastructure Foundation-Level Data (HIFLD) Open Data HIFLD Open Data (arcgis.com) as well as complementary layers (see links below for sources). Boundaries - This group features data from the US Census including State, County, Designated Place, Census Tracts, and Census Block Groups.

Minimum Wages in Indonesia increased to 5.40 IDR Million/Month in 2025 from 5.07 IDR Million/Month in 2024. This dataset provides - Indonesia Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This file describes how the results presented in the following article can be replicated: The German Statutory Minimum Wage and Its Effects on Regional Employment and Unemployment (Holger Bonin, Ingo E. Isphording, Annabelle Krause-Pilatus, Andreas Lichter, Nico Pestel and Ulf Rinne) Journal of Economics and Statistics 2019 https://doi.org/10.1515/jbnst-2018-0067

No description provided

The annual maximum and minimum daily data are the maximum and minimum daily mean values for a given year.

This dataset provides values for MINIMUM reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The purpose of the Disability Services National Minimum Data Set (DS NMDS) collection is to facilitate the annual collation of nationally comparable data about National Disability Agreement (NDA) funded services, and to obtain reliable, consistent data with minimal load on the disability services field. Under the NDA, the Disability Administrators in all Australian jurisdictions are responsible for ensuring that DS NMDS information will be comparable across all jurisdictions and years.
The DS NMDS ceased operation within Queensland on 30 June 2019 - there will be no further updates of this data beyond the 2018-19 year.

This study examines the short-term effects of the introduction of a statutory minimum wage in Germany on hourly wages, monthly wages and paid working hours. We exploit a novel panel dataset by linking the Structure of Earnings Survey (SES) 2014 and the Earn-ings Survey (ES) 2015 and apply a difference-in-differences approach at the establishment level. The results indicate an effect of the introduction of the statutory minimum wage on the average hourly wages of employees in minimum wage establishments of up to 5.9 percent. Due to negative effects on average working time of approximately minus 3.1 percent, the effects on monthly gross earnings are smaller but still amount to up to 2.7 percent on aver-age. The results further suggest that the minimum wage effects on earnings were greater among low-wage employees than on average, in eastern Germany than in western Germany, and among part-time employees and marginal employees than among full-time employees.

The minimum wage is a basic labour standard that sets the lowest wage rate that an employer can pay to employees who are covered by the legislation. Today, one of its main purposes is to protect non-unionized workers in unskilled jobs, although it can also influence, directly or indirectly, the level of compensation of other employees as well. A minimum wage constitutes a floor above which employees or their unions may negotiate with management for higher remuneration. However, it is rarely static: adjustments are required from time to time to maintain its relevance in changing economic and social conditions.

The maximum and minimum temperatures are the highest and lowest temperatures (respectively) which occurred throughout the 24 hours period up to 9am. The observed minimum daily temperature is assigned to the date the observation was made, as the diurnal cycle typically reaches its minimum at approximately 5am. The observed maximum daily temperature is assigned to the day prior to the date the observation was made, as the diurnal cycle typically reaches its maximum at approximately 3pm. If the data are not recorded daily (for example, the instrument malfunctioned), the first observation following the no-report period is flagged as an accumulation.

IntroductionThere is a need to develop harmonized procedures and a Minimum Data Set (MDS) for cross-border Multi Casualty Incidents (MCI) in medical emergency scenarios to ensure appropriate management of such incidents, regardless of place, language and internal processes of the institutions involved. That information should be capable of real-time communication to the command-and-control chain. It is crucial that the models adopted are interoperable between countries so that the rights of patients to cross-border healthcare are fully respected.ObjectiveTo optimize management of cross-border Multi Casualty Incidents through a Minimum Data Set collected and communicated in real time to the chain of command and control for each incident. To determine the degree of agreement among experts.MethodWe used the modified Delphi method supplemented with the Utstein technique to reach consensus among experts. In the first phase, the minimum requirements of the project, the profile of the experts who were to participate, the basic requirements of each variable chosen and the way of collecting the data were defined by providing bibliography on the subject. In the second phase, the preliminary variables were grouped into 6 clusters, the objectives, the characteristics of the variables and the logistics of the work were approved. Several meetings were held to reach a consensus to choose the MDS variables using a Modified Delphi technique. Each expert had to score each variable from 1 to 10. Non-voting variables were eliminated, and the round of voting ended. In the third phase, the Utstein Style was applied to discuss each group of variables and choose the ones with the highest consensus. After several rounds of discussion, it was agreed to eliminate the variables with a score of less than 5 points. In phase four, the researchers submitted the variables to the external experts for final assessment and validation before their use in the simulations. Data were analysed with SPSS Statistics (IBM, version 2) software.ResultsSix data entities with 31 sub-entities were defined, generating 127 items representing the final MDS regarded as essential for incident management. The level of consensus for the choice of items was very high and was highest for the category ‘Incident’ with an overall kappa of 0.7401 (95% CI 0.1265–0.5812, p 0.000), a good level of consensus in the Landis and Koch model. The items with the greatest degree of consensus at ten were those relating to location, type of incident, date, time and identification of the incident. All items met the criteria set, such as digital collection and real-time transmission to the chain of command and control.ConclusionsThis study documents the development of a MDS through consensus with a high degree of agreement among a group of experts of different nationalities working in different fields. All items in the MDS were digitally collected and forwarded in real time to the chain of command and control. This tool has demonstrated its validity in four large cross-border simulations involving more than eight countries and their emergency services.

This dataset provides values for MINIMUM WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset is a customization of Statistics Canada data to present information on Alberta hourly wage distributions of employees by firm size , Industry using North American Industry Classification System (NAICS) 2007 (2 and 3 digits), and population centres and rural areas using annual averages from 2004 to 2014.

Mean minimum temperature of the coldest month data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see https://data.mfe.govt.nz/layers/?q=LENZ for to access these layers). Mean minimum temperature of the coldest month is recorded in °C. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the mean minimum temperature in July, the coldest month of winter, were derived from a surface fitted to monthly estimates of mean daily temperatures. The resulting data layer was created by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 346 meteorological stations. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation. This layer has been multiplied by a factor of 10 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 53 is actually 5.3 °C. Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.