This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.
NOTE: 2001-2013 enlisted totals include "cadets-midshipmen" so officer+enlisted=total. This may not be the correct assumption, but the historical tables only have "officer" and "enlisted" totals.
The data collection involved three methods a) Archival research: defence policy, military doctrine, memoirs, academic commentary b) Interviews: 39 Male soldiers and 17 female soldiers were formally interviewed as part of this research project. c) Fieldwork observation: 40 days were spend observing training in France, Germany, UK, Canada and the US. During the course of this fieldwork, 46 informants were contacted whose comments were recorded in field notes and used in the research. Due to the confidentiality assured to interviewees and informants and the fact that some of the material discussed in the interviews/fieldwork was classified it has been impossible to share the fieldnotes/interviews. However, a record of the key points and data has been recorded in the EOA report for this grant and is disseminated through the publications associated with this grant.Can women be infantry soldiers? Combat is one of the most extreme forms of human activities and throughout human history it has been almost exclusively a masculine domain. This research addresses this important and potentially historic issue of the increasingly active participation of women in war. In the past, women's exclusion from the infantry has typically been justified by reference to female physiology and their presumed effects on cohesion among the male soldiers. Females were seen to threaten the combat performance of male troops. Physical barriers still remain for women but with the professionalisation of the armed forces and the recent pressures of operations in Afghanistan, female participation in the army and on operations has been increasingly accepted and even normalised. Canada and Denmark now allow women in the infantry and, while the UK and US still maintain their bans on females in the infantry, female British and American soldiers have increasingly served on the front line in combat situations. Through documentary, fieldwork and interview research with the armies of Canada, Denmark, Germany, France, the UK and the US, this research seeks to explore the possibilities and limits of women's participation in the infantry. a) Archival research: Documentary analysis of infantry doctrine, operational reports and memoirs by male and especially female soldiers proved very useful in situating and widening the research. b) Interviews: 17 females and 39 males were interviewed as part of this research, either as individuals or in some cases in groups. The data derived from these interviews was rich and compelling. Female soldiers were particularly forthcoming in describing some of their sometimes disturbing experiences. Precisely because of the sensitivity of much of this material, the data has not been able to be made available for general release. The most important material has and will appear in publications however. c) Fieldwork observation Observation of fieldwork in France, the US, UK and Canada took place during the ESRC project. This provided an essential understanding of the practice of infantry work and current operations, essential to analysing the possibility of female integration. It also provided many additional informants whose revealing comments were recorded in field notes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Analysis of ‘Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/beb86177-834e-4463-bc18-72de5d42c500 on 26 January 2022.
--- Dataset description provided by original source is as follows ---
NOTE: 2001-2013 enlisted totals include "cadets-midshipmen" so officer+enlisted=total. This may not be the correct assumption, but the historical tables only have "officer" and "enlisted" totals.
--- Original source retains full ownership of the source dataset ---
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset represents the total number of Female Officers and Non-Commissioned Members (NCMs) in the Canadian Armed Forces (CAF) from 1997 to 2022. Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication.
This dataset contains the tweet ids of 384,350 tweets, including tweets between October 1, 2020 and December 31, 2020. This collection is a subset of the Schlesinger Library #metoo Digital Media Collection.These tweets were collected weekly from the Twitter API through Social Feed Manager using the POST statuses/filter method of the Twitter Stream API.Please note that there will be no updates to this dataset.The following list of terms includes the hashtags used to collect data for this dataset: #metoo, #timesup, #metoostem, #sciencetoo, #metoophd, #shittymediamen, #churchtoo, #ustoo, #metooMVMT, #ARmetoo, #TimesUpAR, #metooSociology, #metooSexScience, #timesupAcademia, and #metooMedicine.Be aware that previous quarters (up to the first quarter of 2020) only include one hashtag: #metoo.Per Twitter's Developer Policy, tweet ids may be publicly shared for academic purposes; tweets may not. Therefore, this dataset only contains tweet ids. In order to retrieve tweets that are still available (not deleted by users) tools like Hydrator are available.There are similar subsets related to the Schlesinger Library #metoo Digital Media Collection available by quarter, as well as a full dataset with a larger corpus of hashtags.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. This dataset represents the intake of women into the Canadian Armed Forces (CAF) Regular Force from 1997 to 2022. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication. The Commander of Military Personnel Command (MILPERSCOM) is also appointed as the Chief of Military Personnel (CMP).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The 2012 US Army Anthropometric Survey (ANSUR II) was executed by the Natick Soldier Research, Development and Engineering Center (NSRDEC) from October 2010 to April 2012 and is comprised of personnel representing the total US Army force to include the US Army Active Duty, Reserves, and National Guard. The data was made publicly available in 2017. In addition to the anthropometric and demographic data described below, the ANSUR II database also consists of 3D whole body, foot, and head scans of Soldier participants. These 3D data are not publicly available out of respect for the privacy of ANSUR II participants. The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and has many potential commercial, industrial, and academic applications.These data have replaced ANSUR I as the most comprehensive publicly accessible dataset on body size and shape. The ANSUR II dataset includes 93 measurements from over 6,000 adult US military personnel, comprising 4,082 men (ANSUR_II_MALE_Public.csv) and 1,986 women (ANSUR_II_FEMALE_Public.csv).
The ANSUR II working databases contain 93 anthropometric measurements which were directly measured, and 15 demographic/administrative variables.
Much more information about the data collection methodology and content of the ANSUR II Working Databases may be found in the following Technical Reports, available from theDefense Technical Information Center (www.dtic.mil) through:
a. 2010-2012 Anthropometric Survey of U.S. Army Personnel: Methods and Summary
Statistics. (NATICK/TR-15/007)
b. Measurer’s Handbook: US Army and Marine Corps Anthropometric Surveys,
2010-2011 (NATICK/TR-11/017)
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. This dataset represents the outflow of Female Officers and Non-Commissioned Members (NCMs) leaving the Canadian Armed Forces (CAF) Regular Force from 1997 to 2022. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication. The Commander of Military Personnel Command (MILPERSCOM) is also appointed as the Chief of Military Personnel (CMP).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This report summarizes the history of women Veterans in the military and as Veterans. It profiles the characteristics of women Veterans in 2015, and illustrates how women Veterans used some of the major benefits and services that are offered by the Department of Veterans Affairs.
There is a requirement that public authorities, like Ofsted, must publish updated versions of datasets which are disclosed as a result of Freedom of Information requests.
Some information which is requested is exempt from disclosure to the public under the Freedom of Information Act; it is therefore not appropriate for this information to be made available. Examples of information which it is not appropriate to make available includes the locations of women’s refuges, some military bases and all children’s homes and the personal data of providers and staff. Ofsted also considers that the names and addresses of registered childminders are their personal data which it is not appropriate to make publicly available unless those individuals have given their explicit consent to do so. This information has therefore not been included in the datasets.
Data for both childcare and childminders are included in the excel file.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">16.6 MB</span></p>
<p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
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Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:enquiries@ofsted.gov.uk" target="_blank" class="govuk-link">enquiries@ofsted.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
There is a requirement that public authorities, like Ofsted, must publish updated versions of datasets that are disclosed as a result of Freedom of Information requests.
Some information which is requested is exempt from disclosure to the public under the Freedom of Information Act; it is therefore not appropriate for this information to be made available. Examples of information which it is not appropriate to make available include the locations of women’s refuges, some military bases and all children’s homes and the personal data of providers and staff. Ofsted also considers that the names and addresses of registered childminders are their personal data, and it is not appropriate to make these publicly available unless those individuals have given their explicit consent to do so. This information has therefore not been included.
This dataset contains information on independent fostering agencies and voluntary adoption agencies in England.
MS Excel Spreadsheet, 200 KB
This file may not be suitable for users of assistive technology.
Request an accessible format.Date of next update: April 2017
Women Veterans who receive maternity care through VA often have multiple medical conditions that can increase their risk of pregnancy complications. Unique to Veterans, experiencing a military deployment may increase the risk of pre-term birth. It is suggested that one of the reasons for this increased risk of pre-term birth may be that being deployed also increases the risk of developing post traumatic stress disorder (PTSD). Having PTSD can increase the risk of a spontaneous pre-term birth as well as preeclampsia and gestational diabetes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Demographic, military service characteristics, and VHA healthcare (N = 40).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇬🇧 United Kingdom English YouGov / Mayor of London Survey on women in the fire service and how this compares to the military, police and health service.
There is a requirement that public authorities, like Ofsted, must publish updated versions of datasets which are disclosed as a result of Freedom of Information requests.
Some information which is requested is exempt from disclosure to the public under the Freedom of Information Act; it is therefore not appropriate for this information to be made available. Examples of information which it is not appropriate to make available includes the locations of women’s refuges, some military bases and all children’s homes and the personal data of providers and staff. Ofsted also considers that the names and addresses of registered childminders are their personal data which it is not appropriate to make publicly available unless those individuals have given their explicit consent to do so. This information has therefore not been included in the datasets.
MS Excel Spreadsheet, 297 KB
This file may not be suitable for users of assistive technology.
Request an accessible format.This information will not be updated. The majority of information included in the dataset is published in Ofsted further education and skills official statistics. Provider addresses are published by FE choices.
YouGov / Mayor of London Survey on women in the fire service and how this compares to the military, police and health service.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Today's Honour Roll recognizes the men and women of the military who fell on this day in history. This data is derived from the Canadian Virtual War Memorial (CVWM) – a registry of the more than 118,000 Canadians and Newfoundlanders who have given their lives serving Canada or the United Kingdom – established to allow all Canadians the opportunity to honour and remember their sacrifices.
MIT Licensehttps://opensource.org/licenses/MIT
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The US Department of Homeland Security, Homeland Infrastructure Foundations - Level Data (HIFLD) provided geographic shapefiles for United States hospitals. This feature class/shapefile contains locations of Hospitals for US territories of Puerto Rico. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. This feature class/shapefile contains Hospitals derived from various sources (refer SOURCE field) for the Homeland Infrastructure Foundation-Level Data (HIFLD) database. This feature class/shape file has a one-to-many relationship class (HospitalsToTrauma) relate with the “Trauma_Levels” table. This table captures the relationship between Hospitals and the state trauma level designations. “Hospitals” is the origin using STATE as the primary key. “Trauma_Levels” table is the destination using STATE as the foreign key. This dataset is based on information from the period 20120605-20170329.
The complete dataset for 50 States can be obtained from the HIFLD website: https://hifld-dhs-gii.opendata.arcgis.com/datasets/5eafb083e43a457b9810c36b2414d3d3_0 The shape file metadata can be obtained from: https://www.arcgis.com/sharing/rest/content/items/5eafb083e43a457b9810c36b2414d3d3/info/metadata/metadata.xml?format=default&output=html
This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.