Past Statistics Download
Chanelle Kirksey
Past is free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.
The download has been tested by an editor here on a PC and a list of features has been compiled; see below. We've also created some screenshots of PAST to illustrate the user interface and show the overall usage and features of this data analyzing program.
Past is free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.
Learn up-to-date facts and statistics on alcohol consumption and its impact in the United States and globally. Explore topics related to alcohol misuse and treatment, underage drinking, the effects of alcohol on the human body, and more.
The table below lists counts of absentee applications and accepted ballots for the State Primary. This data also includes mail ballots initialized by counties for precincts that vote by mail. The data is current as of the date shown.
Information about key absentee ballot metrics for past elections is in the table below. Additional information is available in the spreadsheet below. The data also includes mail ballots for precincts that vote by mail. Last updated 4/12/23.
The gender gap in pay has remained relatively stable in the United States over the past 20 years or so. In 2022, women earned an average of 82% of what men earned, according to a new Pew Research Center analysis of median hourly earnings of both full- and part-time workers. These results are similar to where the pay gap stood in 2002, when women earned 80% as much as men.
While the gender pay gap has not changed much in the last two decades, it has narrowed considerably when looking at the longer term, both among all workers ages 16 and older and among those ages 25 to 34. The estimated 18-cent gender pay gap among all workers in 2022 was down from 35 cents in 1982. And the 8-cent gap among workers ages 25 to 34 in 2022 was down from a 26-cent gap four decades earlier.
The COVID-19 outbreak affected data collection efforts by the U.S. government in its surveys, especially in 2020 and 2021, limiting in-person data collection and affecting response rates. It is possible that some measures of economic outcomes and how they vary across demographic groups are affected by these changes in data collection.
Much of the gender pay gap has been explained by measurable factors such as educational attainment, occupational segregation and work experience. The narrowing of the gap over the long term is attributable in large part to gains women have made in each of these dimensions.
Even though women have increased their presence in higher-paying jobs traditionally dominated by men, such as professional and managerial positions, women as a whole continue to be overrepresented in lower-paying occupations relative to their share of the workforce. This may contribute to gender differences in pay.
When asked about the factors that may play a role in the gender wage gap, half of U.S. adults point to women being treated differently by employers as a major reason, according to a Pew Research Center survey conducted in October 2022. Smaller shares point to women making different choices about how to balance work and family (42%) and working in jobs that pay less (34%).
Democratic and Republican women are more likely than their male counterparts in the same party to say a major reason for the gender wage gap is that employers treat women differently. About three-quarters of Democratic women (76%) say this, compared with 59% of Democratic men. And while 43% of Republican women say unequal treatment by employers is a major reason for the gender wage gap, just 18% of GOP men share that view.
About half of employed women (48%) report feeling a great deal of pressure to focus on their responsibilities at home, compared with 35% of employed men. Among working mothers with children younger than 18 in the household, two-thirds (67%) say the same, compared with 45% of working dads.
When it comes to supporting their family financially, similar shares of working moms and dads (57% vs. 62%) report they feel a great deal of pressure, but this is driven mainly by the large share of unmarried working mothers who say they feel a great deal of pressure in this regard (77%). Among those who are married, working dads are far more likely than working moms (60% vs. 43%) to say they feel a great deal of pressure to support their family financially. (There were not enough unmarried working fathers in the sample to analyze separately.)
Men are more likely than women to be a boss or a top manager where they work (28% vs. 21%). This is especially the case among employed fathers, 35% of whom say they are the boss or one of the top managers where they work. (The varying attitudes between fathers and men without children at least partly reflect differences in marital status and educational attainment between the two groups.)
Note: This is an update of a post originally published on March 22, 2019. Anna Brown and former Pew Research Center writer/editor Amanda Barroso contributed to an earlier version of this analysis. Here are the questions used in this analysis, along with responses, and its methodology.
Since 1975 the MTF survey has measured drug and alcohol use and related attitudes among adolescent students nationwide. A nationally representative sample of survey participants report their drug use behaviors across three time periods: lifetime, past year, and past month. The survey is funded by the NIDA, a component of the National Institutes of Health (NIH), and conducted by the University of Michigan.
Results from the Survey are released each fall. To get the latest information, check the links below. Note: The findings and conclusions in these reports are those of the author(s) and do not necessarily represent the views of the NIH.
Jeff Behrends, Senior Research Scholar and Associate Senior Lecturer on Philosophy, and
Director of Ethics and Technology Initiatives, The Edmond J. Safra Center for Ethics; Matthew Kopec, Program Director and Lecturer, Embedded EthiCS at Harvard University
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be Courtney Paquette of the Mathematics and Statistics department at McGill University.
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be ric Eric Vanden-Eijnden of NYU.
The Probabilitas Seminar series focuses on high-dimensional problems that combine statistics, probability, information theory, computer science, and other related fields. The upcoming seminar takes place on Friday, March 8, from 10:30-11:30am EST. This week's guest will be Yuejie Chi of the Electrical and Computer Engineering department at Carnegie Mellon University.
The figure above shows statistics extracted from the CNFDB, and provides a comparison with those numbers reported annually to the National Forestry Database (NFD). This chart shows the high variability in both number of fires and area burned in Canada per year.
Note that the data contained in the CNFDB are not complete nor are they without error. Not all fires have been mapped, and data accuracy varies due to different mapping techniques. This collection includes only data that has been contributed by the agencies. Data completeness and quality vary among agencies and between years.
Based on data in the National Forestry Database, over 8000 fires occur each year, and burn an average of over 2.1 million hectares. Also, lightning causes about 50% of all fires but accounts for about 85% of the annual area burned. Note that such statistics derived from the CNFDB may differ due to incomplete data. More statistics are available in the National Wildland Fire Situation Report.
For analyses for a single province or territory or for Parks Canada, contact the appropriate agency. Links to the agency web sites can be found below, or can be found through the Canadian Interagency Forest Fire Centre (CIFFC).
The CNFDB is compiled and maintained by the Canadian Forest Service and includes data from the previously released Large Fire Database (LFDB). The LFDB is no longer maintained separately from the CNFDB.
The database is a large collaborative effort by all Canadian fire agencies. We thank the many individuals who contributed to this effort, including fire crews, field personnel, photo interpreters, pilots, digitizers, and analysts. Compilation of the Canada-wide database was partially supported by the Canadian government programs of ENFOR (ENergy from the FORest),the Program on Energy Research and Development, the Climate Change Action Fund, and Action Plan 2000.
This report represents the number of initial FED (Eviction) filings and not the number of judgments entered. Data is reported by month, broken down by District Court location, County, and Statewide levels and shows a 15-year look at FED filing trends. Note that previously reported data may vary slightly based upon data warehouse refresh dates. This report will be updated monthly.
Caseload statistics are for the Supreme Judicial Court, Superior Court and District Court. All references to years in the reports refer to fiscal years (July 1 through June 30) unless specified otherwise.
Below are details of cases filed in each region over the past five years.
Region 1 Caseload Statistics FY'19 - FY'23
Includes: York County Superior Court, York County Unified Criminal Docket, Biddeford District Court, Springvale District Court, and York District Court.